{ "cells": [ { "cell_type": "markdown", "id": "3991fa3e", "metadata": {}, "source": [ "# Full example of adaptive setpoint temperature simulation: IBPSA webinar" ] }, { "cell_type": "markdown", "id": "575c1e40", "metadata": {}, "source": [ "__Please, note: this Notebook was used as a case study in the IBPSA Webinar ( https://www.youtube.com/watch?v=PQ34Pl7t4HA ) . However, in that webinar it was adapted to accim version 0.7.1. This Notebook has been updated to suit the latest version of accim.__" ] }, { "cell_type": "markdown", "id": "11e978db", "metadata": {}, "source": [ "In this section, we're going to run a simulation with adaptive setpoint temperatures. Say we want to run some simulations using a [Brazilian local comfort model](https://linkinghub.elsevier.com/retrieve/pii/S0378778817331079) developed by Ricardo Forgiarini Rupp et al [1] in some locations in Brazil, and also we want to **analyse and visualize the data**. First of all, given EnergyPlus (any version between 9.1 and 23.1 included) is installed, and accim has been installed by entering 'pip install accim' in the CMD terminal, let's prepare the files we need: the IDF(s) and the EPW(s). Let's see what file we have in the folder and then we'll continue with the IDF(s).\n", "\n", "[1] R.F. Rupp, R. de Dear, E. Ghisi, Field study of mixed-mode office buildings in Southern Brazil using an adaptive thermal comfort framework, Energy and Buildings. 158 (2018) 1475–1486. https://doi.org/10.1016/j.enbuild.2017.11.047." ] }, { "cell_type": "code", "execution_count": 1, "id": "fd6f4d43", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ ".ipynb_checkpoints\n", "backup\n", "Current_GC07_Chapeco.epw\n", "Current_GC20_Palmas.epw\n", "full_example_IBPSA.ipynb\n", "RCP852100_GC07_Chapeco.epw\n", "RCP852100_GC20_Palmas.epw\n", "TestModel.idf\n", "__init__.py\n" ] } ], "source": [ "from os import listdir\n", "input_files = [i for i in listdir()]\n", "print(*input_files, sep='\\n')" ] }, { "cell_type": "markdown", "id": "60983e3c", "metadata": {}, "source": [ "The building energy model used is a simple 2-zone model done in DesignBuilder with all parameters by default. We only set the natural ventilation to calculated, and allowed natural ventilation in the HVAC tab for the 2 zones. If you want to have a look at the IDF, you can load it in [Ladybug's Spider IDF Viewer](https://www.ladybug.tools/spider-2020/spider-idf-viewer/v-2020-10-09/spider-idf-viewer.html).\n", "\n", "At this point, the methodology is composed of the following sections and subsections:\n", "\n", "- __1. Data pre-processing__\n", "\n", " - __1.1. Implementing ACCIS__\n", " \n", " - __1.2. Preparing EPW files__\n", " \n", "- __2. Running simulations__\n", "\n", "- __3. Data post-processing__\n", "\n", " - __3.1 Visualizing the data__\n", " \n", " - __3.2 Analysing the data__\n", " \n", " \n", " Useful links:\n", " \n", " - Web repository: https://github.com/dsanchez-garcia/accim\n", " \n", " - Documentation: https://accim.readthedocs.io/en/master/\n", " \n", " - Project at Python Package Index: https://pypi.org/project/accim/\n", " \n", " - IBPSA Webinar: https://www.youtube.com/watch?v=PQ34Pl7t4HA" ] }, { "cell_type": "markdown", "id": "12e3379a", "metadata": {}, "source": [ "## 1. Data pre-processing" ] }, { "cell_type": "markdown", "id": "f83b71ab", "metadata": {}, "source": [ "### 1.1. Implementing ACCIS (using `addAccis()`)" ] }, { "cell_type": "markdown", "id": "f34a5c34", "metadata": {}, "source": [ "Say we have one or multiple IDF files, with an existing HVAC system (in this case, the use of mixed-mode ScriptType 'ex_mm' is not recommended; only full air-conditioning) or with no HVAC system at all (in this case, any of the 'vrf_ac' or 'vrf_mm' ScriptTypes are recommended). In this example, we are going to use an IDF without HVAC system, and we are going to use 'vrf_mm' so that accim adds a generic VRF system." ] }, { "cell_type": "markdown", "id": "2939dcd3", "metadata": {}, "source": [ "Let's see what IDFs we do have in our folder:" ] }, { "cell_type": "code", "execution_count": 2, "id": "55bd779c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['TestModel.idf']\n" ] } ], "source": [ "input_idfs = [i for i in listdir() if i.endswith('.idf')]\n", "print(input_idfs)" ] }, { "cell_type": "markdown", "id": "7a2ac1b0", "metadata": {}, "source": [ "So now, we're going to generate building energy models with setpoint temperatures based on the Brazilian comfort model (i.e. ComfStand takes the value 15). We're going to select the 80% acceptability levels (i.e. CAT takes the value 80), and we're going to select the setpoint behaviour to horizontally extend the setpoint temperatures (or comfort limits) when applicability limits are exceeded (i.e. ComfMod takes the value 3), and the fully static setpoint temperatures (i.e. ComfMod takes the value 0). There are 2 methods to apply adaptive setpoint temperatures:\n", "- Short method, which is running the following to lines of code:\n", "```\n", "from accim.sim import accis\n", "accis.addAccis()\n", "```\n", "\n", "When we run the 2 lines of code above, accim is going to ask us to enter some information it needs to generate the output IDFs. The data we're going to input, in the same order, is:\n", "- Enter the ScriptType: **vrf_mm**\n", "- Enter the SupplyAirTempInputMethod: **temperature difference**\n", "- Do you want to keep the existing outputs (true or false)?: **false**\n", "- Enter the Output type (standard, simplified or detailed): **standard**\n", "- Enter the Output frequencies separated by space (timestep, hourly, daily, monthly, runperiod): **hourly**\n", "- Enter the EnergyPlus version (9.1 to 23.1): **23.1**\n", "- Enter the Temperature Control method (temperature or pmv): **temperature**\n", "\n", "After that, accim will let us know the information we have entered, and it will start the generic IDF generation process. Lots of actions are going to be performed, and all of them will be printed on screen. Once this process is done, accim will let us know if any of the IDFs is not going to work for any reason, and then it will start the output IDF files generation process. Then, accim will ask us again to enter some information, this time to generate the output IDF(s). The data we are going to enter now is:\n", "\n", "- Enter the Comfort Standard numbers separated by space: **15**\n", "- Enter the Category numbers separated by space: **80**\n", "- Enter the Comfort Mode numbers separated by space: **0 3** (where 0 and 3 are respectively static and adaptive setpoints)\n", "- Enter the HVAC Mode numbers separated by space: **1 2** (in this case we have also selected 1 for naturally ventilated, to see the difference with mixed-mode)\n", "- Enter the Ventilation Control numbers separated by space: **0**\n", "\n", "For all the remaining arguments, we're going to hit enter to omit it and take the default value. Finally, accim will let us know the list of output IDFs and will ask for confirmation to proceed:\n", "\n", "- Do you still want to run ACCIS? [y/n]: **y**" ] }, { "cell_type": "markdown", "id": "372843fa", "metadata": {}, "source": [ "Alternatively, we could specify all the arguments when calling the function, as shown in the cell below. You can find the definition and explanation of the arguments in documentation's [Detailed use section](https://accim.readthedocs.io/en/latest/4_detailed%20use.html#), and the values for the adaptive setpoints in the [full setpoint temperatures table](https://htmlpreview.github.io/?https://github.com/dsanchez-garcia/accim/blob/master/accim/docs/html_files/full_setpoint_table.html)" ] }, { "cell_type": "code", "execution_count": 3, "id": "cd4b7ab5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "--------------------------------------------------------\n", "Adaptive-Comfort-Control-Implemented Model (ACCIM) v0.7.1\n", "--------------------------------------------------------\n", "\n", "This tool allows to apply adaptive setpoint temperatures. \n", "For further information, please read the documentation: \n", "https://accim.readthedocs.io/en/master/\n", "For a visual understanding of the tool, please visit the following jupyter notebooks:\n", "- Using addAccis() to apply adaptive setpoint temperatures\n", "https://accim.readthedocs.io/en/master/jupyter_notebooks/addAccis/using_addAccis.html\n", "- Using rename_epw_files() to rename the EPWs for proper data analysis after simulation\n", "https://accim.readthedocs.io/en/master/jupyter_notebooks/rename_epw_files/using_rename_epw_files.html\n", "- Using runEp() to directly run simulations with EnergyPlus\n", "https://accim.readthedocs.io/en/master/jupyter_notebooks/runEp/using_runEp.html\n", "- Using the class Table() for data analysis\n", "https://accim.readthedocs.io/en/master/jupyter_notebooks/Table/using_Table.html\n", "- Full example\n", "https://accim.readthedocs.io/en/master/jupyter_notebooks/full_example/full_example.html\n", "\n", "Starting with the process.\n", "Basic input data:\n", "ScriptType is: vrf_mm\n", "Supply Air Temperature Input Method is: temperature difference\n", "Output type is: standard\n", "Output frequencies are: \n", "['hourly']\n", "EnergyPlus version is: 23.1\n", "Temperature Control method is: temperature\n", "\n", "=======================START OF GENERIC IDF FILE GENERATION PROCESS=======================\n", "\n", "Starting with file:\n", "TestModel\n", "IDD location is: C:\\EnergyPlusV23-1-0\\Energy+.idd\n", "The occupied zones in the model TestModel are:\n", "BLOCK1:ZONE2\n", "BLOCK1:ZONE1\n", "The windows and doors in the model TestModel are:\n", "Block1_Zone2_Wall_3_0_0_0_0_0_Win\n", "Block1_Zone2_Wall_4_0_0_0_0_0_Win\n", "Block1_Zone2_Wall_5_0_0_0_0_0_Win\n", "Block1_Zone1_Wall_2_0_0_0_0_0_Win\n", "Block1_Zone1_Wall_3_0_0_0_0_0_Win\n", "Block1_Zone1_Wall_5_0_0_0_0_0_Win\n", "The zones in the model TestModel are:\n", "BLOCK1_ZONE2\n", "BLOCK1_ZONE1\n", "The people objects in the model have been amended.\n", "BLOCK1:ZONE2 Thermostat has been added\n", "BLOCK1:ZONE1 Thermostat has been added\n", "On Schedule already was in the model\n", "TypOperativeTempControlSch Schedule already was in the model\n", "All ZoneHVAC:IdealLoadsAirSystem Heating and Cooling availability schedules has been set to on\n", "On 24/7 Schedule already was in the model\n", "Control type schedule: Always 4 Schedule has been added\n", "Relative humidity setpoint schedule: Always 50.00 Schedule has been added\n", "Heating Fanger comfort setpoint: Always -0.5 Schedule has been added\n", "Cooling Fanger comfort setpoint: Always 0.1 Schedule has been added\n", "Zone CO2 setpoint: Always 900ppm Schedule has been added\n", "Min CO2 concentration: Always 600ppm Schedule has been added\n", "Generic contaminant setpoint: Always 0.5ppm Schedule has been added\n", "Air distribution effectiveness (always 1) Schedule has been added\n", "VRF Heating Cooling (Northern Hemisphere) Schedule has been added\n", "DefaultFanEffRatioCurve Curve:Cubic Object has been added\n", "VRFTUCoolCapFT Curve:Cubic Object has been added\n", "VRFTUHeatCapFT Curve:Cubic Object has been added\n", "VRFCoolCapFTBoundary Curve:Cubic Object has been added\n", "VRFCoolEIRFTBoundary Curve:Cubic Object has been added\n", "CoolingEIRLowPLR Curve:Cubic Object has been added\n", "VRFHeatCapFTBoundary Curve:Cubic Object has been added\n", "VRFHeatEIRFTBoundary Curve:Cubic Object has been added\n", "HeatingEIRLowPLR Curve:Cubic Object has been added\n", "DefaultFanPowerRatioCurve Curve:Exponent Object has been added\n", "DXHtgCoilDefrostEIRFT Curve:Biquadratic Object has been added\n", "VRFCoolCapFT Curve:Biquadratic Object has been added\n", "VRFCoolCapFTHi Curve:Biquadratic Object has been added\n", "VRFCoolEIRFT Curve:Biquadratic Object has been added\n", "VRFCoolEIRFTHi Curve:Biquadratic Object has been added\n", "VRFHeatCapFT Curve:Biquadratic Object has been added\n", "VRFHeatCapFTHi Curve:Biquadratic Object has been added\n", "VRFHeatEIRFT Curve:Biquadratic Object has been added\n", "VRFHeatEIRFTHi Curve:Biquadratic Object has been added\n", "CoolingLengthCorrectionFactor Curve:Biquadratic Object has been added\n", "VRF Piping Correction Factor for Length in Heating Mode Curve:Biquadratic Object has been added\n", "VRF Heat Recovery Cooling Capacity Modifier Curve:Biquadratic Object has been added\n", "VRF Heat Recovery Cooling Energy Modifier Curve:Biquadratic Object has been added\n", "VRF Heat Recovery Heating Capacity Modifier Curve:Biquadratic Object has been added\n", "VRF Heat Recovery Heating Energy Modifier Curve:Biquadratic Object has been added\n", "VRFACCoolCapFFF Curve:Quadratic Object has been added\n", "CoolingEIRHiPLR Curve:Quadratic Object has been added\n", "VRFCPLFFPLR Curve:Quadratic Object has been added\n", "HeatingEIRHiPLR Curve:Quadratic Object has been added\n", "CoolingCombRatio Curve:Linear Object has been added\n", "HeatingCombRatio Curve:Linear Object has been added\n", "VRF Outdoor Unit_BLOCK1:ZONE2 AirConditioner:VariableRefrigerantFlow Object has been added\n", "VRF Outdoor Unit_BLOCK1:ZONE1 AirConditioner:VariableRefrigerantFlow Object has been added\n", "VRF Outdoor Unit_BLOCK1:ZONE2 Outdoor Air Node Object has been added\n", "VRF Outdoor Unit_BLOCK1:ZONE2 Zone List Object has been added\n", "VRF Outdoor Unit_BLOCK1:ZONE1 Outdoor Air Node Object has been added\n", "VRF Outdoor Unit_BLOCK1:ZONE1 Zone List Object has been added\n", "BLOCK1:ZONE2 Sizing:Zone Object has been added\n", "BLOCK1:ZONE1 Sizing:Zone Object has been added\n", "BLOCK1:ZONE2 Design Specification Outdoor Air Object has been added\n", "BLOCK1:ZONE1 Design Specification Outdoor Air Object has been added\n", "BLOCK1:ZONE2 Design Specification Zone Air Distribution Object has been added\n", "BLOCK1:ZONE1 Design Specification Zone Air Distribution Object has been added\n", "BLOCK1:ZONE2 Nodelist Objects has been added\n", "BLOCK1:ZONE1 Nodelist Objects has been added\n", "BLOCK1:ZONE2 ZoneHVAC:EquipmentConnections Objects has been added\n", "BLOCK1:ZONE1 ZoneHVAC:EquipmentConnections Objects has been added\n", "BLOCK1:ZONE2 ZoneHVAC:EquipmentList Objects has been added\n", "BLOCK1:ZONE1 ZoneHVAC:EquipmentList Objects has been added\n", "BLOCK1:ZONE2 ZoneHVAC:TerminalUnit:VariableRefrigerantFlow Object has been added\n", "BLOCK1:ZONE1 ZoneHVAC:TerminalUnit:VariableRefrigerantFlow Object has been added\n", "BLOCK1:ZONE2 Coil:Cooling:DX:VariableRefrigerantFlow Object has been added\n", "BLOCK1:ZONE1 Coil:Cooling:DX:VariableRefrigerantFlow Object has been added\n", "BLOCK1:ZONE2 Coil:Heating:DX:VariableRefrigerantFlow Object has been added\n", "BLOCK1:ZONE1 Coil:Heating:DX:VariableRefrigerantFlow Object has been added\n", "BLOCK1:ZONE2 Fan:ConstantVolume Object has been added\n", "BLOCK1:ZONE1 Fan:ConstantVolume Object has been added\n", "Vent_SP_temp Schedule has been added\n", "AHST_Sch_BLOCK1_ZONE2 Schedule has been added\n", "ACST_Sch_BLOCK1_ZONE2 Schedule has been added\n", "AHST_Sch_BLOCK1_ZONE1 Schedule has been added\n", "ACST_Sch_BLOCK1_ZONE1 Schedule has been added\n", "Added - SetComfTemp Program\n", "Added - CountHours_BLOCK1_ZONE2 Program\n", "Added - CountHours_BLOCK1_ZONE1 Program\n", "Added - SetAppLimits Program\n", "Added - ApplyCAT Program\n", "Added - SetAST Program\n", "Added - SetASTnoTol Program\n", "Added - CountHoursNoApp_BLOCK1_ZONE2 Program\n", "Added - SetGeoVarBLOCK1_ZONE2 Program\n", "Added - CountHoursNoApp_BLOCK1_ZONE1 Program\n", "Added - SetGeoVarBLOCK1_ZONE1 Program\n", "Added - SetInputData Program\n", "Added - SetVOFinputData Program\n", "Added - SetVST Program\n", "Added - ApplyAST_BLOCK1_ZONE2 Program\n", "Added - ApplyAST_BLOCK1_ZONE1 Program\n", "Added - SetMyVOF_Block1_Zone2_Wall_3_0_0_0_0_0_Win Program\n", "Added - SetWindowOperation_Block1_Zone2_Wall_3_0_0_0_0_0_Win Program\n", "Added - SetMyVOF_Block1_Zone2_Wall_4_0_0_0_0_0_Win Program\n", "Added - SetWindowOperation_Block1_Zone2_Wall_4_0_0_0_0_0_Win Program\n", "Added - SetMyVOF_Block1_Zone2_Wall_5_0_0_0_0_0_Win Program\n", "Added - SetWindowOperation_Block1_Zone2_Wall_5_0_0_0_0_0_Win Program\n", "Added - SetMyVOF_Block1_Zone1_Wall_2_0_0_0_0_0_Win Program\n", "Added - SetWindowOperation_Block1_Zone1_Wall_2_0_0_0_0_0_Win Program\n", "Added - SetMyVOF_Block1_Zone1_Wall_3_0_0_0_0_0_Win Program\n", "Added - SetWindowOperation_Block1_Zone1_Wall_3_0_0_0_0_0_Win Program\n", "Added - SetMyVOF_Block1_Zone1_Wall_5_0_0_0_0_0_Win Program\n", "Added - SetWindowOperation_Block1_Zone1_Wall_5_0_0_0_0_0_Win Program\n", "Added - Comfort Temperature Output Variable\n", "Added - Adaptive Cooling Setpoint Temperature Output Variable\n", "Added - Adaptive Heating Setpoint Temperature Output Variable\n", "Added - Adaptive Cooling Setpoint Temperature_No Tolerance Output Variable\n", "Added - Adaptive Heating Setpoint Temperature_No Tolerance Output Variable\n", "Added - Ventilation Setpoint Temperature Output Variable\n", "Added - Minimum Outdoor Temperature for ventilation Output Variable\n", "Added - Minimum Outdoor Temperature Difference for ventilation Output Variable\n", "Added - Maximum Outdoor Temperature Difference for ventilation Output Variable\n", "Added - Multiplier for Ventilation Opening Factor Output Variable\n", "Added - Comfortable Hours_No Applicability_BLOCK1_ZONE2 Output Variable\n", "Added - Comfortable Hours_No Applicability_BLOCK1_ZONE1 Output Variable\n", "Added - Comfortable Hours_Applicability_BLOCK1_ZONE2 Output Variable\n", "Added - Comfortable Hours_Applicability_BLOCK1_ZONE1 Output Variable\n", "Added - Discomfortable Applicable Hot Hours_BLOCK1_ZONE2 Output Variable\n", "Added - Discomfortable Applicable Hot Hours_BLOCK1_ZONE1 Output Variable\n", "Added - Discomfortable Applicable Cold Hours_BLOCK1_ZONE2 Output Variable\n", "Added - Discomfortable Applicable Cold Hours_BLOCK1_ZONE1 Output Variable\n", "Added - Discomfortable Non Applicable Hot Hours_BLOCK1_ZONE2 Output Variable\n", "Added - Discomfortable Non Applicable Hot Hours_BLOCK1_ZONE1 Output Variable\n", "Added - Discomfortable Non Applicable Cold Hours_BLOCK1_ZONE2 Output Variable\n", "Added - Discomfortable Non Applicable Cold Hours_BLOCK1_ZONE1 Output Variable\n", "Added - Zone Floor Area_BLOCK1_ZONE2 Output Variable\n", "Added - Zone Floor Area_BLOCK1_ZONE1 Output Variable\n", "Added - Zone Air Volume_BLOCK1_ZONE2 Output Variable\n", "Added - Zone Air Volume_BLOCK1_ZONE1 Output Variable\n", "Added - Ventilation Hours_BLOCK1_ZONE2 Output Variable\n", "Added - Ventilation Hours_BLOCK1_ZONE1 Output Variable\n", "Global variables objects have been added\n", "Internal variables objects have been added\n", "Added - RMOT Sensor\n", "Added - PMOT Sensor\n", "Added - BLOCK1_ZONE2_OpT Sensor\n", "Added - BLOCK1_ZONE2_WindSpeed Sensor\n", "Added - BLOCK1_ZONE2_OutT Sensor\n", "Added - BLOCK1_ZONE1_OpT Sensor\n", "Added - BLOCK1_ZONE1_WindSpeed Sensor\n", "Added - BLOCK1_ZONE1_OutT Sensor\n", "Added - Block1_Zone2_Wall_3_0_0_0_0_0_Win_OpT Sensor\n", "Added - Block1_Zone2_Wall_3_0_0_0_0_0_Win_WindSpeed Sensor\n", "Added - Block1_Zone2_Wall_3_0_0_0_0_0_Win_OutT Sensor\n", "Added - Block1_Zone2_Wall_4_0_0_0_0_0_Win_OpT Sensor\n", "Added - Block1_Zone2_Wall_4_0_0_0_0_0_Win_WindSpeed Sensor\n", "Added - Block1_Zone2_Wall_4_0_0_0_0_0_Win_OutT Sensor\n", "Added - Block1_Zone2_Wall_5_0_0_0_0_0_Win_OpT Sensor\n", "Added - Block1_Zone2_Wall_5_0_0_0_0_0_Win_WindSpeed Sensor\n", "Added - Block1_Zone2_Wall_5_0_0_0_0_0_Win_OutT Sensor\n", "Added - Block1_Zone1_Wall_2_0_0_0_0_0_Win_OpT Sensor\n", "Added - Block1_Zone1_Wall_2_0_0_0_0_0_Win_WindSpeed Sensor\n", "Added - Block1_Zone1_Wall_2_0_0_0_0_0_Win_OutT Sensor\n", "Added - Block1_Zone1_Wall_3_0_0_0_0_0_Win_OpT Sensor\n", "Added - Block1_Zone1_Wall_3_0_0_0_0_0_Win_WindSpeed Sensor\n", "Added - Block1_Zone1_Wall_3_0_0_0_0_0_Win_OutT Sensor\n", "Added - Block1_Zone1_Wall_5_0_0_0_0_0_Win_OpT Sensor\n", "Added - Block1_Zone1_Wall_5_0_0_0_0_0_Win_WindSpeed Sensor\n", "Added - Block1_Zone1_Wall_5_0_0_0_0_0_Win_OutT Sensor\n", "Added - OutT Sensor\n", "Added - AHST_Act_BLOCK1_ZONE2 Actuator\n", "Added - ACST_Act_BLOCK1_ZONE2 Actuator\n", "Added - AHST_Act_BLOCK1_ZONE1 Actuator\n", "Added - ACST_Act_BLOCK1_ZONE1 Actuator\n", "Added - Block1_Zone2_Wall_3_0_0_0_0_0_Win_VentOpenFact Actuator\n", "Added - Block1_Zone2_Wall_4_0_0_0_0_0_Win_VentOpenFact Actuator\n", "Added - Block1_Zone2_Wall_5_0_0_0_0_0_Win_VentOpenFact Actuator\n", "Added - Block1_Zone1_Wall_2_0_0_0_0_0_Win_VentOpenFact Actuator\n", "Added - Block1_Zone1_Wall_3_0_0_0_0_0_Win_VentOpenFact Actuator\n", "Added - Block1_Zone1_Wall_5_0_0_0_0_0_Win_VentOpenFact Actuator\n", "Added - BLOCK1_ZONE2_CoolCoil Sensor\n", "Added - BLOCK1_ZONE2_HeatCoil Sensor\n", "Added - BLOCK1_ZONE1_CoolCoil Sensor\n", "Added - BLOCK1_ZONE1_HeatCoil Sensor\n", "Added - Block1_Zone2_Wall_3_0_0_0_0_0_Win_CoolCoil Sensor\n", "Added - Block1_Zone2_Wall_3_0_0_0_0_0_Win_HeatCoil Sensor\n", "Added - Block1_Zone2_Wall_4_0_0_0_0_0_Win_CoolCoil Sensor\n", "Added - Block1_Zone2_Wall_4_0_0_0_0_0_Win_HeatCoil Sensor\n", "Added - Block1_Zone2_Wall_5_0_0_0_0_0_Win_CoolCoil Sensor\n", "Added - Block1_Zone2_Wall_5_0_0_0_0_0_Win_HeatCoil Sensor\n", "Added - Block1_Zone1_Wall_2_0_0_0_0_0_Win_CoolCoil Sensor\n", "Added - Block1_Zone1_Wall_2_0_0_0_0_0_Win_HeatCoil Sensor\n", "Added - Block1_Zone1_Wall_3_0_0_0_0_0_Win_CoolCoil Sensor\n", "Added - Block1_Zone1_Wall_3_0_0_0_0_0_Win_HeatCoil Sensor\n", "Added - Block1_Zone1_Wall_5_0_0_0_0_0_Win_CoolCoil Sensor\n", "Added - Block1_Zone1_Wall_5_0_0_0_0_0_Win_HeatCoil Sensor\n", "Added - SetComfTemp Program Calling Manager\n", "Added - CountHours_BLOCK1_ZONE2 Program Calling Manager\n", "Added - CountHours_BLOCK1_ZONE1 Program Calling Manager\n", "Added - SetAppLimits Program Calling Manager\n", "Added - ApplyCAT Program Calling Manager\n", "Added - SetAST Program Calling Manager\n", "Added - SetASTnoTol Program Calling Manager\n", "Added - CountHoursNoApp_BLOCK1_ZONE2 Program Calling Manager\n", "Added - SetGeoVarBLOCK1_ZONE2 Program Calling Manager\n", "Added - CountHoursNoApp_BLOCK1_ZONE1 Program Calling Manager\n", "Added - SetGeoVarBLOCK1_ZONE1 Program Calling Manager\n", "Added - SetInputData Program Calling Manager\n", "Added - SetVOFinputData Program Calling Manager\n", "Added - SetVST Program Calling Manager\n", "Added - ApplyAST_BLOCK1_ZONE2 Program Calling Manager\n", "Added - ApplyAST_BLOCK1_ZONE1 Program Calling Manager\n", "Added - SetMyVOF_Block1_Zone2_Wall_3_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetWindowOperation_Block1_Zone2_Wall_3_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetMyVOF_Block1_Zone2_Wall_4_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetWindowOperation_Block1_Zone2_Wall_4_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetMyVOF_Block1_Zone2_Wall_5_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetWindowOperation_Block1_Zone2_Wall_5_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetMyVOF_Block1_Zone1_Wall_2_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetWindowOperation_Block1_Zone1_Wall_2_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetMyVOF_Block1_Zone1_Wall_3_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetWindowOperation_Block1_Zone1_Wall_3_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetMyVOF_Block1_Zone1_Wall_5_0_0_0_0_0_Win Program Calling Manager\n", "Added - SetWindowOperation_Block1_Zone1_Wall_5_0_0_0_0_0_Win Program Calling Manager\n", "Added - Comfort Temperature Reporting FrequencyHourly Output:Variable data\n", "Added - Adaptive Cooling Setpoint Temperature Reporting FrequencyHourly Output:Variable data\n", "Added - Adaptive Heating Setpoint Temperature Reporting FrequencyHourly Output:Variable data\n", "Added - Adaptive Cooling Setpoint Temperature_No Tolerance Reporting FrequencyHourly Output:Variable data\n", "Added - Adaptive Heating Setpoint Temperature_No Tolerance Reporting FrequencyHourly Output:Variable data\n", "Added - Ventilation Setpoint Temperature Reporting FrequencyHourly Output:Variable data\n", "Added - Minimum Outdoor Temperature for ventilation Reporting FrequencyHourly Output:Variable data\n", "Added - Minimum Outdoor Temperature Difference for ventilation Reporting FrequencyHourly Output:Variable data\n", "Added - Maximum Outdoor Temperature Difference for ventilation Reporting FrequencyHourly Output:Variable data\n", "Added - Multiplier for Ventilation Opening Factor Reporting FrequencyHourly Output:Variable data\n", "Added - Comfortable Hours_No Applicability_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - Comfortable Hours_No Applicability_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - Comfortable Hours_Applicability_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - Comfortable Hours_Applicability_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - Discomfortable Applicable Hot Hours_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - Discomfortable Applicable Hot Hours_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - Discomfortable Applicable Cold Hours_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - Discomfortable Applicable Cold Hours_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - Discomfortable Non Applicable Hot Hours_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - Discomfortable Non Applicable Hot Hours_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - Discomfortable Non Applicable Cold Hours_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - Discomfortable Non Applicable Cold Hours_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - Zone Floor Area_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - Zone Floor Area_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - Zone Air Volume_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - Zone Air Volume_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - Ventilation Hours_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - Ventilation Hours_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - Zone Operative Temperature Reporting FrequencyHourly Output:Variable data\n", "Added - Zone Thermal Comfort CEN 15251 Adaptive Model Running Average Outdoor Air Temperature Reporting FrequencyHourly Output:Variable data\n", "Added - Zone Thermal Comfort ASHRAE 55 Adaptive Model Running Average Outdoor Air Temperature Reporting FrequencyHourly Output:Variable data\n", "Added - Cooling Coil Total Cooling Rate Reporting FrequencyHourly Output:Variable data\n", "Added - Heating Coil Heating Rate Reporting FrequencyHourly Output:Variable data\n", "Added - Facility Total HVAC Electric Demand Power Reporting FrequencyHourly Output:Variable data\n", "Added - Facility Total HVAC Electricity Demand Rate Reporting FrequencyHourly Output:Variable data\n", "Added - AFN Surface Venting Window or Door Opening Factor Reporting FrequencyHourly Output:Variable data\n", "Added - AFN Zone Infiltration Air Change Rate Reporting FrequencyHourly Output:Variable data\n", "Added - AFN Zone Infiltration Volume Reporting FrequencyHourly Output:Variable data\n", "Added - AFN Zone Ventilation Air Change Rate Reporting FrequencyHourly Output:Variable data\n", "Added - AFN Zone Ventilation Volume Reporting FrequencyHourly Output:Variable data\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Added - Site Outdoor Air Drybulb Temperature Reporting FrequencyHourly Output:Variable data\n", "Added - Site Wind Speed Reporting FrequencyHourly Output:Variable data\n", "Added - Site Outdoor Air Relative Humidity Reporting FrequencyHourly Output:Variable data\n", "Added - AHST_Sch_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - ACST_Sch_BLOCK1_ZONE2 Reporting FrequencyHourly Output:Variable data\n", "Added - AHST_Sch_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - ACST_Sch_BLOCK1_ZONE1 Reporting FrequencyHourly Output:Variable data\n", "Added - VRF Heat Pump Cooling Electricity Energy Reporting FrequencyHourly Output:Variable data\n", "Added - VRF Heat Pump Heating Electricity Energy Reporting FrequencyHourly Output:Variable data\n", "Added - BLOCK1_ZONE2 VRF Indoor Unit DX Cooling Coil Reporting FrequencyHourly Output:Variable data\n", "Added - BLOCK1_ZONE2 VRF Indoor Unit DX Heating Coil Reporting Frequency Hourly Output:Variable data\n", "Added - BLOCK1_ZONE1 VRF Indoor Unit DX Cooling Coil Reporting FrequencyHourly Output:Variable data\n", "Added - BLOCK1_ZONE1 VRF Indoor Unit DX Heating Coil Reporting Frequency Hourly Output:Variable data\n", "IDF has been saved\n", "Ending with file:\n", "TestModel\n", "\n", "=======================END OF GENERIC IDF FILE GENERATION PROCESS=======================\n", "\n", "The following IDFs will not work, and therefore these will be deleted:\n", "None\n", "\n", "=======================START OF OUTPUT IDF FILES GENERATION PROCESS=======================\n", "\n", "The list of output IDFs is going to be:\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "And the total number of output IDFs is going to be 4\n", "Generating the following output IDF files:\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "\n", "=======================END OF OUTPUT IDF FILES GENERATION PROCESS=======================\n", "\n" ] } ], "source": [ "from accim.sim import accis\n", "add_accis_instance = accis.addAccis(\n", " ScriptType='vrf_mm',\n", " SupplyAirTempInputMethod='temperature difference',\n", " Output_keep_existing=False,\n", " Output_type='standard',\n", " Output_freqs=['hourly'],\n", " EnergyPlus_version='23.1',\n", " TempCtrl='temperature',\n", " ComfStand=[15],\n", " CAT=[80],\n", " ComfMod=[0, 3],\n", " SetpointAcc=1000,\n", " HVACmode=[1, 2],\n", " VentCtrl=[0],\n", " VSToffset=[0],\n", " MinOToffset=[50],\n", " MaxWindSpeed=[50],\n", " ASTtol_steps=0.1,\n", " ASTtol_start=0.1,\n", " ASTtol_end_input=0.1,\n", " confirmGen=True\n", ")" ] }, { "cell_type": "markdown", "id": "1557fa1e", "metadata": {}, "source": [ "So, now let's see the list of output IDFs we have generated" ] }, { "cell_type": "code", "execution_count": 4, "id": "58217779", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n" ] } ], "source": [ "output_idfs = [i for i in listdir() if i.endswith('.idf') and i not in input_idfs]\n", "print(*output_idfs, sep='\\n')" ] }, { "cell_type": "markdown", "id": "643060a0", "metadata": {}, "source": [ "Now, let's have a look at the internal variables which have been stored in the ``addAccis`` instance we have done:" ] }, { "cell_type": "code", "execution_count": 5, "id": "704662d7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['arguments',\n", " 'input_idfs',\n", " 'occupied_zones',\n", " 'occupied_zones_original_name',\n", " 'output_idfs',\n", " 'windows_and_doors',\n", " 'windows_and_doors_original_name']" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "[i for i in dir(add_accis_instance) if '__' not in i]" ] }, { "cell_type": "markdown", "id": "c228158d", "metadata": {}, "source": [ "For instance, in arguments, you can see the arguments you have previously specified." ] }, { "cell_type": "code", "execution_count": 6, "id": "96cbe024", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'ScriptType': 'vrf_mm',\n", " 'SupplyAirTempInputMethod': 'temperature difference',\n", " 'Output_type': 'standard',\n", " 'Output_freqs': ['hourly'],\n", " 'Output_keep_existing': False,\n", " 'Output_gen_dataframe': None,\n", " 'Output_take_dataframe': None,\n", " 'EnergyPlus_version': '23.1',\n", " 'TempCtrl': 'temperature',\n", " 'ComfStand': [15],\n", " 'CAT': [80],\n", " 'ComfMod': [0, 3],\n", " 'SetpointAcc': 1000,\n", " 'CoolSeasonStart': 121,\n", " 'CoolSeasonEnd': 274,\n", " 'HVACmode': [1, 2],\n", " 'VentCtrl': [0],\n", " 'MaxTempDiffVOF': 20,\n", " 'MinTempDiffVOF': 0.5,\n", " 'MultiplierVOF': 0.25,\n", " 'VSToffset': [0],\n", " 'MinOToffset': [50],\n", " 'MaxWindSpeed': [50],\n", " 'ASTtol_start': 0.1,\n", " 'ASTtol_end_input': 0.1,\n", " 'ASTtol_steps': 0.1,\n", " 'NameSuffix': '',\n", " 'verboseMode': True,\n", " 'confirmGen': True}" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "add_accis_instance.arguments" ] }, { "cell_type": "markdown", "id": "1dd4c0df", "metadata": {}, "source": [ "In variables ``occupied_zones``, ``occupied_zones_original_name``, ``windows_and_doors`` and\n", " ``windows_and_doors_original_name`` you can see the zones and windows and doors within the input idfs:" ] }, { "cell_type": "code", "execution_count": 7, "id": "ed6ab77e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'TestModel': ['BLOCK1_ZONE2', 'BLOCK1_ZONE1']}" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "add_accis_instance.occupied_zones" ] }, { "cell_type": "code", "execution_count": 8, "id": "4b0daae7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'TestModel': ['Block1_Zone2_Wall_3_0_0_0_0_0_Win',\n", " 'Block1_Zone2_Wall_4_0_0_0_0_0_Win',\n", " 'Block1_Zone2_Wall_5_0_0_0_0_0_Win',\n", " 'Block1_Zone1_Wall_2_0_0_0_0_0_Win',\n", " 'Block1_Zone1_Wall_3_0_0_0_0_0_Win',\n", " 'Block1_Zone1_Wall_5_0_0_0_0_0_Win']}" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "add_accis_instance.windows_and_doors" ] }, { "cell_type": "markdown", "id": "1bc96477", "metadata": {}, "source": [ "In variables ``input_idfs`` and ``output_idfs`` you can inspect the input and output idfs using [eppy](https://pypi.org/project/eppy/#description):" ] }, { "cell_type": "code", "execution_count": 9, "id": "5ffb8151", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'TestModel': }" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "add_accis_instance.input_idfs" ] }, { "cell_type": "markdown", "id": "95812220", "metadata": {}, "source": [ "Now, let's see the variable ``output_idfs`` " ] }, { "cell_type": "code", "execution_count": 12, "id": "a265c52c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf': ,\n", " 'TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf': ,\n", " 'TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf': ,\n", " 'TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf': }" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "add_accis_instance.output_idfs" ] }, { "cell_type": "markdown", "id": "e7d2541a", "metadata": {}, "source": [ "In this case, we have generated more IDFs than we need, so let's remove the others. We only want a single naturally ventilated IDF, to compare the indoor temperature with the mixed-mode IDF with adaptive setpoints. IDFs are NV when HVACmode takes the value 1." ] }, { "cell_type": "code", "execution_count": 14, "id": "ab57bbaa", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n" ] } ], "source": [ "idfs_to_be_removed = [i for i in listdir() if i.endswith('.idf') and 'HM_1' in i and 'CS_BRA Rupp NV[CA_80[CM_3[HM_1' not in i]\n", "print(*idfs_to_be_removed, sep='\\n')" ] }, { "cell_type": "code", "execution_count": 15, "id": "e69685a9", "metadata": {}, "outputs": [], "source": [ "from os import remove\n", "for i in idfs_to_be_removed:\n", " remove(i)" ] }, { "cell_type": "markdown", "id": "b346defc", "metadata": {}, "source": [ "Let's see what IDFs we do finally have:" ] }, { "cell_type": "code", "execution_count": 16, "id": "df0fb88d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n" ] } ], "source": [ "output_idfs = [i for i in listdir() if i.endswith('.idf') and i not in input_idfs]\n", "print(*output_idfs, sep='\\n')\n" ] }, { "cell_type": "markdown", "id": "519dc414", "metadata": {}, "source": [ "So, we're done with the IDFs. You can see these have been named based on the input data, separated by the character '['. Let's move to the EPWs." ] }, { "cell_type": "markdown", "id": "de92c008", "metadata": {}, "source": [ "### 1.2. Preparing EPW files (using `rename_epw_files()`)" ] }, { "cell_type": "markdown", "id": "7fa4e6d8", "metadata": {}, "source": [ "Let's see the EPWs we are going to use for the simulations:" ] }, { "cell_type": "code", "execution_count": 17, "id": "624b8382", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Current_GC07_Chapeco.epw\n", "Current_GC20_Palmas.epw\n", "RCP852100_GC07_Chapeco.epw\n", "RCP852100_GC20_Palmas.epw\n" ] } ], "source": [ "original_epws = [i for i in listdir() if i.endswith('.epw')]\n", "print(*original_epws, sep='\\n')" ] }, { "cell_type": "markdown", "id": "ba8774f0", "metadata": {}, "source": [ "Now, we're going to rename them. We want them to follow the pattern \"Country_City_RCPscenario-Year\". But, why is that? Because later, when we run the simulations and read the CSV files, we will be able to analyse them considering the fields Country, City, RCPscenario and Year as categorical variables. So let's rename them running the code in the cell below.\n", "\n", "First, accim will try to rename them based on the original name and the geolocation. If no match between those is found, accim will assign the string 'UNKNOWN' to the city. Then, accim will ask you if you want to edit some of the new names. If so, you'll need to enter the IDs:\n", "- If any of the city or subcountry names needs some amendment (if you are not happy with any of the available options, you can exclude it from renaming at the next stage), please enter the EPW IDs separated by space:**(hit enter)**\n", "\n", "Afterwards, you'll be asked to enter the new city name for each ID you previously entered (in this case, 0 1 2 3). So, \n", "- Regarding the file ID: 0 ... Please enter the amended city or subcountry, which must be unique: **Chapeco**\n", "- Regarding the file ID: 1 ... Please enter the amended city or subcountry, which must be unique: **Palmas**\n", "- Regarding the file ID: 2 ... Please enter the amended city or subcountry, which must be unique: **Chapeco**\n", "- Regarding the file ID: 3 ... Please enter the amended city or subcountry, which must be unique: **Palmas**\n", "\n", "Then, accim will let you know the old names, and the new named after amendments. Next, accim will ask you if you want to exclude some EPW from renaming. In this case, we're just going to hit enter to continue because we don't want to exclude any:\n", "- If you want to exclude some EPWs from renaming, please enter the new names separated by space, otherwise, hit enter to continue:\n", "\n", "Finally, accim will ask for confirmation to proceed with the renaming:\n", "Do you want to rename the file or files? [y/n]:**y**\n", "\n", "At this point, accim will make a copy of the EPWs and rename them. Afterwards, we would be asked if we want to delete the older EPWs. In this case, we won't because the deletion has been already set to False in the arguments." ] }, { "cell_type": "code", "execution_count": 18, "id": "c2c9fd38", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\users\\sanga\\appdata\\local\\programs\\python\\python39\\lib\\site-packages\\accim\\data\\data_preprocessing.py:181: FutureWarning: The default value of regex will change from True to False in a future version.\n", " epw_df['EPW_names'] = epw_df['EPW_file_names'].str.replace('.epw', '')\n", "C:\\users\\sanga\\appdata\\local\\programs\\python\\python39\\lib\\site-packages\\accim\\data\\data_preprocessing.py:183: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will*not* be treated as literal strings when regex=True.\n", " epw_df['EPW_mod'] = epw_df['EPW_names'].str.replace('-', '_').str.replace('.', '_').str.split('_')\n", "C:\\users\\sanga\\appdata\\local\\programs\\python\\python39\\lib\\site-packages\\accim\\data\\data_preprocessing.py:185: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will*not* be treated as literal strings when regex=True.\n", " epw_df['EPW_mod_filtered'] = epw_df['EPW_names'].str.replace('-', '_').str.replace('.', '_').str.split('_')\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Since no match has been found between RCP scenario Year and EPW file name, Present year has been assigned to the following EPW files:\n", "Current_GC07_Chapeco.epw\n", "Current_GC20_Palmas.epw\n", "The geolocation process has taken: 2.1 seconds (0.53 s/EPW)\n", "\n", "The previous and new names of the EPW files and their unique IDs are:\n", "ID: 0 / Current_GC07_Chapeco / Brazil_Chapeco_Present\n", "ID: 1 / Current_GC20_Palmas / Brazil_Palmas_Present\n", "ID: 2 / RCP852100_GC07_Chapeco / Brazil_Chapeco_RCP85-2100\n", "ID: 3 / RCP852100_GC20_Palmas / Brazil_Palmas_RCP85-2100\n", "\n", "If any of the city or subcountry names needs some amendment (if you are not happy with any of the available options, you can exclude it from renaming at the next stage), please enter the EPW IDs separated by space; otherwise, hit enter to omit:\n", "\n", "The final list of previous and new names of the EPW files and their unique IDs is:\n", "ID: 0 / Current_GC07_Chapeco / Brazil_Chapeco_Present\n", "ID: 1 / Current_GC20_Palmas / Brazil_Palmas_Present\n", "ID: 2 / RCP852100_GC07_Chapeco / Brazil_Chapeco_RCP85-2100\n", "ID: 3 / RCP852100_GC20_Palmas / Brazil_Palmas_RCP85-2100\n", "\n", "If you want to exclude some EPWs from renaming, please enter the IDs separated by space, otherwise, hit enter to continue:\n", "\n", "Do you want to copy and rename the file or files? [y/n]:y\n", "The file Current_GC07_Chapeco has been renamed to Brazil_Chapeco_Present\n", "The file Current_GC20_Palmas has been renamed to Brazil_Palmas_Present\n", "The file RCP852100_GC07_Chapeco has been renamed to Brazil_Chapeco_RCP85-2100\n", "The file RCP852100_GC20_Palmas has been renamed to Brazil_Palmas_RCP85-2100\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from accim.data.data_preprocessing import rename_epw_files\n", "rename_epw_files(\n", " rename_dict={\n", " 'Chapeco': 'Chapeco',\n", " 'Palmas': 'Palmas'\n", " },\n", " confirm_deletion=False\n", ")" ] }, { "cell_type": "markdown", "id": "0d86b25e", "metadata": {}, "source": [ "``rename_epw_files`` uses OpenStreetMap to extract the address from coordinates. If you get an SSL certificate error, you might need to find a different way to rename the files. You could also proceed without renaming them, but you could only make comparisons based on the entire EPW filename. IMPORTANT: PLEASE, **ONLY** RUN THE NEXT CELL IF YOU GOT AN SSL ERROR IN THE PREVIOUS ONE:" ] }, { "cell_type": "code", "execution_count": null, "id": "a5cc8d4e", "metadata": {}, "outputs": [], "source": [ "import os\n", "import shutil\n", "\n", "for i in original_epws:\n", " shutil.copy(i, i.split('.epw')[0]+'_new.epw')\n", "\n", "renaming_epws = {\n", " 'Current_GC07_Chapeco_new.epw': 'Brazil_Chapeco_Present.epw',\n", " 'Current_GC20_Palmas_new.epw': 'Brazil_Palmas_Present.epw',\n", " 'RCP852100_GC07_Chapeco_new.epw': 'Brazil_Chapeco_RCP85-2100.epw',\n", " 'RCP852100_GC20_Palmas_new.epw': 'Brazil_Palmas_RCP85-2100.epw',\n", "}\n", "\n", "for i in renaming_epws:\n", " os.rename(i, renaming_epws[i])" ] }, { "cell_type": "markdown", "id": "8f247dd9", "metadata": {}, "source": [ "Now, let's see what EPWs we do have:" ] }, { "cell_type": "code", "execution_count": 19, "id": "49abc6c9", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Brazil_Chapeco_Present.epw\n", "Brazil_Chapeco_RCP85-2100.epw\n", "Brazil_Palmas_Present.epw\n", "Brazil_Palmas_RCP85-2100.epw\n", "Current_GC07_Chapeco.epw\n", "Current_GC20_Palmas.epw\n", "RCP852100_GC07_Chapeco.epw\n", "RCP852100_GC20_Palmas.epw\n" ] } ], "source": [ "all_epws = [i for i in listdir() if i.endswith('.epw')]\n", "print(*all_epws, sep='\\n')" ] }, { "cell_type": "markdown", "id": "c01a4f14", "metadata": {}, "source": [ "We can see the new EPWs are:" ] }, { "cell_type": "code", "execution_count": 20, "id": "d5ba5c70", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Brazil_Chapeco_Present.epw\n", "Brazil_Chapeco_RCP85-2100.epw\n", "Brazil_Palmas_Present.epw\n", "Brazil_Palmas_RCP85-2100.epw\n" ] } ], "source": [ "new_epws = [i for i in listdir() if i.endswith('.epw') if i not in original_epws]\n", "print(*new_epws, sep='\\n')" ] }, { "cell_type": "markdown", "id": "8f88b38e", "metadata": {}, "source": [ "EPWs are correctly renamed, so now let's move the old EPWs to a different folder to save them as a backup." ] }, { "cell_type": "code", "execution_count": 21, "id": "c0c4f796", "metadata": {}, "outputs": [], "source": [ "import shutil\n", "for i in original_epws:\n", " shutil.move(i, f'backup/{i}')" ] }, { "cell_type": "markdown", "id": "d6bc6f12", "metadata": {}, "source": [ "Now, we can move to the next stage." ] }, { "cell_type": "markdown", "id": "0fe727e8", "metadata": {}, "source": [ "## 2. Running the simulation (using `runEp()`)" ] }, { "cell_type": "markdown", "id": "16603780", "metadata": {}, "source": [ "At this point, we have prepared the IDF(s) we are going to simulate, which are" ] }, { "cell_type": "code", "execution_count": 22, "id": "7c534e17", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n" ] } ], "source": [ "print(*output_idfs, sep='\\n')" ] }, { "cell_type": "markdown", "id": "0bfc9e5b", "metadata": {}, "source": [ "as well as the locations where we are going to run those simulations, whose EPWs are:" ] }, { "cell_type": "code", "execution_count": 23, "id": "8946029a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Brazil_Chapeco_Present.epw\n", "Brazil_Chapeco_RCP85-2100.epw\n", "Brazil_Palmas_Present.epw\n", "Brazil_Palmas_RCP85-2100.epw\n" ] } ], "source": [ "print(*new_epws, sep='\\n')" ] }, { "cell_type": "markdown", "id": "fdc9fcfb", "metadata": {}, "source": [ "So, we are going to simulate all IDF(s) with all EPW(s). When we run later the simulations using accim, the output files (i.e. the CSVs) will be named following the pattern **'idf[epw'**, where the character '[' is used as a separator for later data analysis, so that CSV rows can be grouped by EPW location. You may have noticed the same character is used as a separator in the IDF name, in order to group the CSV rows depending on the input data." ] }, { "cell_type": "markdown", "id": "ac424a70", "metadata": {}, "source": [ "To run the simulations, 2 methods can be used:\n", "- the shorter, in which the following 2 lines of code needs to be run:\n", " ```\n", " from accim.run import run\n", " run.runEp()\n", " ```\n", " After this, you'll be asked to enter the EnergyPlus version (which should coincide with the IDF EnergyPlus version):\n", " - Please enter the desired EnergyPlus version: **23.1**\n", " \n", " Then, you will need to say if you want to run only output IDFs of accim, or otherwise all existing IDFs in the folder:\n", " - Do you want to run only ACCIM output IDFs? [y or n]: **y**\n", " \n", " Next, accim will tell you the IDF(s) and EPW(s) it's going to use for the simulations, and finally all the simulations it's going to run based on the name pattern 'idf[epw'.\n", " Finally, it will ask for confirmation to proceed with the simulation:\n", " - Do you still want to proceed? [y or n]:**y**\n", "- the longer method, in which the parameters are specified when calling the function. We'll use the longer method, so let's run the cell below. Since there are a few simulations, it might take a few minutes." ] }, { "cell_type": "code", "execution_count": 24, "id": "e17de90a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The IDFs we are going to run are:\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X.idf\n", " and the No. of IDFs is going to be 3\n", "The sample_EPWs we are going to run are:\n", "Brazil_Chapeco_Present.epw\n", "Brazil_Chapeco_RCP85-2100.epw\n", "Brazil_Palmas_Present.epw\n", "Brazil_Palmas_RCP85-2100.epw\n", " and the No. of sample_EPWs is going to be 4\n", "Therefore, the simulations are going to be:\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_Present\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_RCP85-2100\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_Present\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_RCP85-2100\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_Present\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_RCP85-2100\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_Present\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_RCP85-2100\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_Present\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_RCP85-2100\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_Present\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_RCP85-2100\n", " and the No. of simulations is going to be 12\n", "The simulations are done.\n" ] } ], "source": [ "from accim.run import run\n", "run.runEp(\n", " runOnlyAccim=True, #only runs output IDFs, that is, IDFs with \"[\" in its name\n", " confirmRun=True, #to skip confirmation\n", " num_CPUs=4, #to specify the number of CPUs to be used\n", " EnergyPlus_version='23.1', #to specify the EnergyPlus version of the IDF, and the version of EnergyPlus you are going to run\n", ")\n", "\n", "print('The simulations are done.')" ] }, { "cell_type": "markdown", "id": "9b89d15a", "metadata": {}, "source": [ "So simulations are done. Let's see the CSV data we have now:" ] }, { "cell_type": "code", "execution_count": 25, "id": "692742de", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_Present.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_RCP85-2100.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_Present.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_RCP85-2100.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_Present.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_RCP85-2100.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_Present.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_RCP85-2100.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_Present.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_RCP85-2100.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_Present.csv\n", "TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_RCP85-2100.csv\n" ] } ], "source": [ "csvs = [i for i in listdir() if i.endswith('.csv') and 'Zsz.csv' not in i and 'Table.csv' not in i]\n", "print(*csvs, sep='\\n')" ] }, { "cell_type": "markdown", "id": "43224aa7", "metadata": {}, "source": [ "Now, we can move to the last stage, in which data will be analysed and visualized." ] }, { "cell_type": "markdown", "id": "16b781bd", "metadata": {}, "source": [ "## 3. Data post-processing" ] }, { "cell_type": "markdown", "id": "6201e8b4", "metadata": {}, "source": [ "In order to analyse and visualize the data, we need to make a pandas DataFrame out of the CSVs. We will do this by using the `Table()` class. It will concatenate all the CSVs we specify into a single pandas DataFrame. The class ``Table`` also has some internal variables we can see. These are explained in the [documentation](https://accim.readthedocs.io/en/latest/accim.data.html#accim.data.data_postprocessing.Table)\n", "\n", "To use this method, a minimum knowledge and experience with Python programming is needed, so if this is not your case, you may struggle to make it work." ] }, { "cell_type": "code", "execution_count": 2, "id": "22d8a426", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_Present.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_RCP85-2100.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_Present.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_RCP85-2100.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_Present.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_RCP85-2100.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_Present.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_RCP85-2100.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_Present.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Chapeco_RCP85-2100.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_Present.csv is hourly, therefore no aggregation will be performed.\n", "Input data frequency in file TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[VO_0.0[MT_50.0[MW_50.0[AT_0.1[NS_X[Brazil_Palmas_RCP85-2100.csv is hourly, therefore no aggregation will be performed.\n", "No zones have been excluded from level computations.\n" ] } ], "source": [ "from accim.data.data_postprocessing import Table\n", "dataset_hourly = Table(\n", " #datasets=list\n", " # This argument expects a list of csv file names.\n", " # Since we are not specifying any list, it will use all available CSVs in the folder\n", " # that meet certain conditions in the file name\n", " \n", " source_frequency='hourly',\n", " # This argument tells accim which is the frequency of the input CSVs. \n", " # Input CSVs with multiple frequencies are also allowed. \n", " # It can be 'timestep', 'hourly', 'daily', 'monthly' and 'runperiod'.\n", " \n", " frequency='hourly', \n", " # This argument tells accim which is the frequency for the resulting dataframe.\n", " # If we entered 'daily', accim would aggregate the rows in days.\n", " # It can be 'hourly', 'daily', 'monthly' and 'runperiod'.\n", " # For instance, if we entered 'runperiod', since in this case, it's going to concatenate 12 csvs, \n", " # the resulting dataframe would have 12 rows;\n", " # If we entered 'daily', the number of rows would be 365 times 12.\n", " \n", " frequency_agg_func='sum', \n", " # This argument tells accim the function to be used when the rows are aggregated; can be 'sum' or 'mean'\n", " \n", " standard_outputs=True, \n", " # Used to work with a certain selection of output variables\n", " \n", " level=['building'], \n", " # accim first tries to detect the hierarchy of zones, belonging to blocks, belonging to building.\n", " # after that, accim will aggregate the output variables into new columns for block and/or building level\n", " # Therefore, this argument tells accim which level or levels should address, and should be \n", " # a list containing the strings 'block' and/or 'building'.\n", " \n", " level_agg_func=['sum', 'mean'], \n", " # This argument tells accim the functions to be used when the columns are aggregated.\n", " # It should be a list containing the strings 'sum' and/or 'mean'. \n", " \n", " level_excluded_zones=[],\n", " # Used to exclude some zone from level computations. \n", " # Imagine you want to make the average operative temperature of all zones, \n", " # which are air-conditioned, except one which is naturally ventilated.\n", " # Then you should exclude that zone entering the name here.\n", " \n", " split_epw_names=True, \n", " # Used to split the categorical variable EPW into multiple columns \n", " # for the fields Country, City, RCPscenario and Year\n", ")" ] }, { "cell_type": "markdown", "id": "a0ee7582", "metadata": {}, "source": [ "As we saw in the documentation, we can access the DataFrame instance and print it:" ] }, { "cell_type": "code", "execution_count": 3, "id": "ecc560cc", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SourceModelComfStandCATComfModHVACmodeVentCtrlVSToffsetMinOToffsetMaxWindSpeed...Building_Total_Cooling Energy Consumption (kWh/m2) (summed)Building_Total_Cooling Energy Consumption (kWh/m2) (mean)Building_Total_Heating Energy Consumption (kWh/m2) (summed)Building_Total_Heating Energy Consumption (kWh/m2) (mean)Building_Total_Total Energy Demand (kWh/m2) (summed)Building_Total_Total Energy Demand (kWh/m2) (mean)Building_Total_Total Energy Consumption (kWh/m2) (summed)Building_Total_Total Energy Consumption (kWh/m2) (mean)Building_Total_Zone Air Volume (m3) (summed)Building_Total_Zone Floor Area (m2) (summed)
0TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[...TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0...0.0033140.0016570.00.00.0039030.0009760.0033140.000828116.0200533.14855
1TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[...TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0...0.0000000.0000000.00.00.0000000.0000000.0000000.000000116.0200533.14855
2TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[...TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0...0.0000000.0000000.00.00.0000000.0000000.0000000.000000116.0200533.14855
3TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[...TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0...0.0000000.0000000.00.00.0000000.0000000.0000000.000000116.0200533.14855
4TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[...TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0...0.0000000.0000000.00.00.0000000.0000000.0000000.000000116.0200533.14855
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105115TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[...TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0...0.0794400.0397200.00.00.0868040.0217010.0794400.019860116.0200533.14855
105116TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[...TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0...0.0462640.0231320.00.00.0509110.0127280.0462640.011566116.0200533.14855
105117TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[...TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0...0.0350760.0175380.00.00.0399810.0099950.0350760.008769116.0200533.14855
105118TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[...TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0...0.0274110.0137060.00.00.0323360.0080840.0274110.006853116.0200533.14855
105119TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[...TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0...0.0229270.0114630.00.00.0275280.0068820.0229270.005732116.0200533.14855
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105120 rows × 119 columns

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" ], "text/plain": [ " Source Model \\\n", "0 TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[... TestModel \n", "1 TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[... TestModel \n", "2 TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[... TestModel \n", "3 TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[... TestModel \n", "4 TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[... TestModel \n", "... ... ... \n", "105115 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[... TestModel \n", "105116 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[... TestModel \n", "105117 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[... TestModel \n", "105118 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[... TestModel \n", "105119 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[... TestModel \n", "\n", " ComfStand CAT ComfMod HVACmode VentCtrl VSToffset MinOToffset \\\n", "0 CS_BRA Rupp NV CA_80 CM_0 HM_2 VC_0 VO_0.0 MT_50.0 \n", "1 CS_BRA Rupp NV CA_80 CM_0 HM_2 VC_0 VO_0.0 MT_50.0 \n", "2 CS_BRA Rupp NV CA_80 CM_0 HM_2 VC_0 VO_0.0 MT_50.0 \n", "3 CS_BRA Rupp NV CA_80 CM_0 HM_2 VC_0 VO_0.0 MT_50.0 \n", "4 CS_BRA Rupp NV CA_80 CM_0 HM_2 VC_0 VO_0.0 MT_50.0 \n", "... ... ... ... ... ... ... ... \n", "105115 CS_BRA Rupp NV CA_80 CM_3 HM_2 VC_0 VO_0.0 MT_50.0 \n", "105116 CS_BRA Rupp NV CA_80 CM_3 HM_2 VC_0 VO_0.0 MT_50.0 \n", "105117 CS_BRA Rupp NV CA_80 CM_3 HM_2 VC_0 VO_0.0 MT_50.0 \n", "105118 CS_BRA Rupp NV CA_80 CM_3 HM_2 VC_0 VO_0.0 MT_50.0 \n", "105119 CS_BRA Rupp NV CA_80 CM_3 HM_2 VC_0 VO_0.0 MT_50.0 \n", "\n", " MaxWindSpeed ... \\\n", "0 MW_50.0 ... \n", "1 MW_50.0 ... \n", "2 MW_50.0 ... \n", "3 MW_50.0 ... \n", "4 MW_50.0 ... \n", "... ... ... \n", "105115 MW_50.0 ... \n", "105116 MW_50.0 ... \n", "105117 MW_50.0 ... \n", "105118 MW_50.0 ... \n", "105119 MW_50.0 ... \n", "\n", " Building_Total_Cooling Energy Consumption (kWh/m2) (summed) \\\n", "0 0.003314 \n", "1 0.000000 \n", "2 0.000000 \n", "3 0.000000 \n", "4 0.000000 \n", "... ... \n", "105115 0.079440 \n", "105116 0.046264 \n", "105117 0.035076 \n", "105118 0.027411 \n", "105119 0.022927 \n", "\n", " Building_Total_Cooling Energy Consumption (kWh/m2) (mean) \\\n", "0 0.001657 \n", "1 0.000000 \n", "2 0.000000 \n", "3 0.000000 \n", "4 0.000000 \n", "... ... \n", "105115 0.039720 \n", "105116 0.023132 \n", "105117 0.017538 \n", "105118 0.013706 \n", "105119 0.011463 \n", "\n", " Building_Total_Heating Energy Consumption (kWh/m2) (summed) \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "... ... \n", "105115 0.0 \n", "105116 0.0 \n", "105117 0.0 \n", "105118 0.0 \n", "105119 0.0 \n", "\n", " Building_Total_Heating Energy Consumption (kWh/m2) (mean) \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "... ... \n", "105115 0.0 \n", "105116 0.0 \n", "105117 0.0 \n", "105118 0.0 \n", "105119 0.0 \n", "\n", " Building_Total_Total Energy Demand (kWh/m2) (summed) \\\n", "0 0.003903 \n", "1 0.000000 \n", "2 0.000000 \n", "3 0.000000 \n", "4 0.000000 \n", "... ... \n", "105115 0.086804 \n", "105116 0.050911 \n", "105117 0.039981 \n", "105118 0.032336 \n", "105119 0.027528 \n", "\n", " Building_Total_Total Energy Demand (kWh/m2) (mean) \\\n", "0 0.000976 \n", "1 0.000000 \n", "2 0.000000 \n", "3 0.000000 \n", "4 0.000000 \n", "... ... \n", "105115 0.021701 \n", "105116 0.012728 \n", "105117 0.009995 \n", "105118 0.008084 \n", "105119 0.006882 \n", "\n", " Building_Total_Total Energy Consumption (kWh/m2) (summed) \\\n", "0 0.003314 \n", "1 0.000000 \n", "2 0.000000 \n", "3 0.000000 \n", "4 0.000000 \n", "... ... \n", "105115 0.079440 \n", "105116 0.046264 \n", "105117 0.035076 \n", "105118 0.027411 \n", "105119 0.022927 \n", "\n", " Building_Total_Total Energy Consumption (kWh/m2) (mean) \\\n", "0 0.000828 \n", "1 0.000000 \n", "2 0.000000 \n", "3 0.000000 \n", "4 0.000000 \n", "... ... \n", "105115 0.019860 \n", "105116 0.011566 \n", "105117 0.008769 \n", "105118 0.006853 \n", "105119 0.005732 \n", "\n", " Building_Total_Zone Air Volume (m3) (summed) \\\n", "0 116.02005 \n", "1 116.02005 \n", "2 116.02005 \n", "3 116.02005 \n", "4 116.02005 \n", "... ... \n", "105115 116.02005 \n", "105116 116.02005 \n", "105117 116.02005 \n", "105118 116.02005 \n", "105119 116.02005 \n", "\n", " Building_Total_Zone Floor Area (m2) (summed) \n", "0 33.14855 \n", "1 33.14855 \n", "2 33.14855 \n", "3 33.14855 \n", "4 33.14855 \n", "... ... \n", "105115 33.14855 \n", "105116 33.14855 \n", "105117 33.14855 \n", "105118 33.14855 \n", "105119 33.14855 \n", "\n", "[105120 rows x 119 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset_hourly.df" ] }, { "cell_type": "markdown", "id": "292627c2", "metadata": {}, "source": [ "### 3.1 Visualizing the data " ] }, { "cell_type": "markdown", "id": "4581f539", "metadata": {}, "source": [ "So, we are going to use the ``Table`` instance we just created. Now, let's filter the columns we are going to use, considering we are going to compare indoor temperature with and without adaptive setpoint temperatures:" ] }, { "cell_type": "code", "execution_count": 4, "id": "1e04077d", "metadata": {}, "outputs": [], "source": [ "dataset_hourly.format_table(\n", " type_of_table='custom', # Used to choose some predefined tables. It can be 'energy demand', 'comfort hours', 'temperature', 'all' or 'custom'\n", " custom_cols=[ #if type_of_table is 'custom', custom_cols is used to filter the desired columns to keep\n", " 'Adaptive Cooling Setpoint Temperature_No Tolerance (°C)',\n", " 'Adaptive Heating Setpoint Temperature_No Tolerance (°C)',\n", " 'Building_Total_Zone Operative Temperature (°C) (mean)',\n", " 'BLOCK1:ZONE2_ASHRAE 55 Running mean outdoor temperature (°C)',\n", " 'Building_Total_Cooling Energy Demand (kWh/m2) (summed)',\n", " 'Building_Total_Heating Energy Demand (kWh/m2) (summed)',\n", " 'Building_Total_AFN Zone Infiltration Air Change Rate (ach) (summed)'\n", " ]\n", ")" ] }, { "cell_type": "markdown", "id": "788287e5", "metadata": {}, "source": [ "Let's print again the DataFrame to see how has changed:" ] }, { "cell_type": "code", "execution_count": 5, "id": "e3c2bbed", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Date/timeModelComfStandCATComfModHVACmodeVentCtrlVSToffsetMinOToffsetMaxWindSpeed...EPW_Scenario-YearEPW_ScenarioEPW_YearAdaptive Cooling Setpoint Temperature_No Tolerance (°C)Adaptive Heating Setpoint Temperature_No Tolerance (°C)Building_Total_Zone Operative Temperature (°C) (mean)BLOCK1:ZONE2_ASHRAE 55 Running mean outdoor temperature (°C)Building_Total_Cooling Energy Demand (kWh/m2) (summed)Building_Total_Heating Energy Demand (kWh/m2) (summed)Building_Total_AFN Zone Infiltration Air Change Rate (ach) (summed)
001/01 01:00:00TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0...PresentPresentPresent25.16666722.05023.66956923.8013890.0039030.00.030392
101/01 02:00:00TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0...PresentPresentPresent25.50000022.30024.15926423.8013890.0000000.00.019997
201/01 03:00:00TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0...PresentPresentPresent25.50000022.30024.48119723.8013890.0000000.00.021666
301/01 04:00:00TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0...PresentPresentPresent25.50000022.30024.66545823.8013890.0000000.00.031366
401/01 05:00:00TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0...PresentPresentPresent25.50000022.30024.78522923.8013890.0000000.00.038035
..................................................................
10511512/31 20:00:00TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0...RCP85-2100RCP85210030.42800022.82830.26262734.1674540.0868040.00.063113
10511612/31 21:00:00TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0...RCP85-2100RCP85210030.42800022.82830.28634934.1674540.0509110.00.085345
10511712/31 22:00:00TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0...RCP85-2100RCP85210030.42800022.82830.29922234.1674540.0399810.00.072794
10511812/31 23:00:00TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0...RCP85-2100RCP85210030.42800022.82830.30528634.1674540.0323360.00.049223
10511912/31 24:00:00TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0...RCP85-2100RCP85210030.42800022.82830.31184634.1674540.0275280.00.036105
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105120 rows × 29 columns

\n", "
" ], "text/plain": [ " Date/time Model ComfStand CAT ComfMod HVACmode \\\n", "0 01/01 01:00:00 TestModel CS_BRA Rupp NV CA_80 CM_0 HM_2 \n", "1 01/01 02:00:00 TestModel CS_BRA Rupp NV CA_80 CM_0 HM_2 \n", "2 01/01 03:00:00 TestModel CS_BRA Rupp NV CA_80 CM_0 HM_2 \n", "3 01/01 04:00:00 TestModel CS_BRA Rupp NV CA_80 CM_0 HM_2 \n", "4 01/01 05:00:00 TestModel CS_BRA Rupp NV CA_80 CM_0 HM_2 \n", "... ... ... ... ... ... ... \n", "105115 12/31 20:00:00 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_2 \n", "105116 12/31 21:00:00 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_2 \n", "105117 12/31 22:00:00 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_2 \n", "105118 12/31 23:00:00 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_2 \n", "105119 12/31 24:00:00 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_2 \n", "\n", " VentCtrl VSToffset MinOToffset MaxWindSpeed ... EPW_Scenario-Year \\\n", "0 VC_0 VO_0.0 MT_50.0 MW_50.0 ... Present \n", "1 VC_0 VO_0.0 MT_50.0 MW_50.0 ... Present \n", "2 VC_0 VO_0.0 MT_50.0 MW_50.0 ... Present \n", "3 VC_0 VO_0.0 MT_50.0 MW_50.0 ... Present \n", "4 VC_0 VO_0.0 MT_50.0 MW_50.0 ... Present \n", "... ... ... ... ... ... ... \n", "105115 VC_0 VO_0.0 MT_50.0 MW_50.0 ... RCP85-2100 \n", "105116 VC_0 VO_0.0 MT_50.0 MW_50.0 ... RCP85-2100 \n", "105117 VC_0 VO_0.0 MT_50.0 MW_50.0 ... RCP85-2100 \n", "105118 VC_0 VO_0.0 MT_50.0 MW_50.0 ... RCP85-2100 \n", "105119 VC_0 VO_0.0 MT_50.0 MW_50.0 ... RCP85-2100 \n", "\n", " EPW_Scenario EPW_Year \\\n", "0 Present Present \n", "1 Present Present \n", "2 Present Present \n", "3 Present Present \n", "4 Present Present \n", "... ... ... \n", "105115 RCP85 2100 \n", "105116 RCP85 2100 \n", "105117 RCP85 2100 \n", "105118 RCP85 2100 \n", "105119 RCP85 2100 \n", "\n", " Adaptive Cooling Setpoint Temperature_No Tolerance (°C) \\\n", "0 25.166667 \n", "1 25.500000 \n", "2 25.500000 \n", "3 25.500000 \n", "4 25.500000 \n", "... ... \n", "105115 30.428000 \n", "105116 30.428000 \n", "105117 30.428000 \n", "105118 30.428000 \n", "105119 30.428000 \n", "\n", " Adaptive Heating Setpoint Temperature_No Tolerance (°C) \\\n", "0 22.050 \n", "1 22.300 \n", "2 22.300 \n", "3 22.300 \n", "4 22.300 \n", "... ... \n", "105115 22.828 \n", "105116 22.828 \n", "105117 22.828 \n", "105118 22.828 \n", "105119 22.828 \n", "\n", " Building_Total_Zone Operative Temperature (°C) (mean) \\\n", "0 23.669569 \n", "1 24.159264 \n", "2 24.481197 \n", "3 24.665458 \n", "4 24.785229 \n", "... ... \n", "105115 30.262627 \n", "105116 30.286349 \n", "105117 30.299222 \n", "105118 30.305286 \n", "105119 30.311846 \n", "\n", " BLOCK1:ZONE2_ASHRAE 55 Running mean outdoor temperature (°C) \\\n", "0 23.801389 \n", "1 23.801389 \n", "2 23.801389 \n", "3 23.801389 \n", "4 23.801389 \n", "... ... \n", "105115 34.167454 \n", "105116 34.167454 \n", "105117 34.167454 \n", "105118 34.167454 \n", "105119 34.167454 \n", "\n", " Building_Total_Cooling Energy Demand (kWh/m2) (summed) \\\n", "0 0.003903 \n", "1 0.000000 \n", "2 0.000000 \n", "3 0.000000 \n", "4 0.000000 \n", "... ... \n", "105115 0.086804 \n", "105116 0.050911 \n", "105117 0.039981 \n", "105118 0.032336 \n", "105119 0.027528 \n", "\n", " Building_Total_Heating Energy Demand (kWh/m2) (summed) \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "... ... \n", "105115 0.0 \n", "105116 0.0 \n", "105117 0.0 \n", "105118 0.0 \n", "105119 0.0 \n", "\n", " Building_Total_AFN Zone Infiltration Air Change Rate (ach) (summed) \n", "0 0.030392 \n", "1 0.019997 \n", "2 0.021666 \n", "3 0.031366 \n", "4 0.038035 \n", "... ... \n", "105115 0.063113 \n", "105116 0.085345 \n", "105117 0.072794 \n", "105118 0.049223 \n", "105119 0.036105 \n", "\n", "[105120 rows x 29 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset_hourly.df" ] }, { "cell_type": "markdown", "id": "256feeac", "metadata": {}, "source": [ "At this point, you might be confused about what can you analyse and plot. The way to identify the IDFs individually is combining or gathering the categorical variables that make them different. In this case, for the IDFs, these are ComfMod and HVACmode (as we requested in the ``addAccis`` instance). In case of the EPW files, the columns related to these are:" ] }, { "cell_type": "code", "execution_count": 6, "id": "aacc51a8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['EPW',\n", " 'EPW_Country_name',\n", " 'EPW_City_or_subcountry',\n", " 'EPW_Scenario-Year',\n", " 'EPW_Scenario',\n", " 'EPW_Year']" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "[i for i in dataset_hourly.df if 'EPW' in i]" ] }, { "cell_type": "markdown", "id": "c7b7c499", "metadata": {}, "source": [ "Therefore, ``EPW_City_or_subcountry`` and ``EPW_Scenario-Year`` should be enough to identify them.\n", "\n", "To get a clearer view, you can use the method ``gather_vars_query``, which will provide a list of the categorical variables extracted from the csv filename that change, and therefore, can be used in the analysis, and the values these contain. Let's try it:" ] }, { "cell_type": "code", "execution_count": 7, "id": "30f84257", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The categorical columns which have different values and those values are:\n", "ComfMod: ['CM_0', 'CM_3']\n", "HVACmode: ['HM_2', 'HM_1']\n", "EPW_City_or_subcountry: ['Chapeco', 'Palmas']\n", "EPW_Scenario-Year: ['Present', 'RCP85-2100']\n", "EPW_Scenario: ['Present', 'RCP85']\n", "EPW_Year: ['Present', '2100']\n", "Month: ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12']\n", "Day: ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31']\n", "Hour: ['00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23']\n" ] } ], "source": [ "dataset_hourly.gather_vars_query()" ] }, { "cell_type": "markdown", "id": "64a93586", "metadata": {}, "source": [ "We can see all of the categorical variables are related to the variations in the output idfs and the differences in the epw files. Therefore, we can confirm to cover all the idfs, we would need to use the variables ``ComfMod`` and ``HVACmode``. Also, to cover all epw files, we would need to use the variables ``EPW_City_or_subcountry`` and ``EPW_Scenario-Year``. So, we can enter these variables as a list in the ``gather_vars_query`` method and see what would be the resulting combinations:" ] }, { "cell_type": "code", "execution_count": 8, "id": "71ab1100", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The categorical columns which have different values and those values are:\n", "ComfMod: ['CM_0', 'CM_3']\n", "HVACmode: ['HM_2', 'HM_1']\n", "EPW_City_or_subcountry: ['Chapeco', 'Palmas']\n", "EPW_Scenario-Year: ['Present', 'RCP85-2100']\n", "EPW_Scenario: ['Present', 'RCP85']\n", "EPW_Year: ['Present', '2100']\n", "Month: ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12']\n", "Day: ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31']\n", "Hour: ['00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23']\n", "The available options resulting from the data entered in vars_to_gather would be: \n", "CM_0[HM_2\n", "CM_3[HM_1\n", "CM_3[HM_2\n" ] } ], "source": [ "dataset_hourly.gather_vars_query(['ComfMod', 'HVACmode'])" ] }, { "cell_type": "code", "execution_count": 9, "id": "6400ec01", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The categorical columns which have different values and those values are:\n", "ComfMod: ['CM_0', 'CM_3']\n", "HVACmode: ['HM_2', 'HM_1']\n", "EPW_City_or_subcountry: ['Chapeco', 'Palmas']\n", "EPW_Scenario-Year: ['Present', 'RCP85-2100']\n", "EPW_Scenario: ['Present', 'RCP85']\n", "EPW_Year: ['Present', '2100']\n", "Month: ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12']\n", "Day: ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31']\n", "Hour: ['00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23']\n", "The available options resulting from the data entered in vars_to_gather would be: \n", "Chapeco[Present\n", "Chapeco[RCP85-2100\n", "Palmas[Present\n", "Palmas[RCP85-2100\n" ] } ], "source": [ "dataset_hourly.gather_vars_query(['EPW_City_or_subcountry', 'EPW_Scenario-Year'])" ] }, { "cell_type": "markdown", "id": "31cff9b5", "metadata": {}, "source": [ "Considering the information above, let's plot the figure:" ] }, { "cell_type": "code", "execution_count": 10, "id": "9d385ec2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The number of rows and the list of these is going to be:\n", "No. of rows = 4\n", "List of rows:\n", "Chapeco[Present\n", "Chapeco[RCP85-2100\n", "Palmas[Present\n", "Palmas[RCP85-2100\n", "The renamed rows are going to be:\n", "Chapeco Present\n", "Chapeco RCP85-2100\n", "Palmas Present\n", "Palmas RCP85-2100\n", "The number of columns and the list of these is going to be:\n", "No. of columns = 2\n", "List of columns:\n", "CM_3[HM_1\n", "CM_3[HM_2\n", "The renamed columns are going to be:\n", "Brazilian model NV\n", "Brazilian model MM\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "dataset_hourly.scatter_plot(\n", " vars_to_gather_rows=['EPW_City_or_subcountry', 'EPW_Scenario-Year'], # variables to gather in rows of subplots\n", " vars_to_gather_cols=['ComfMod', 'HVACmode'],# variables to gather in columns of subplots; all categorical columns which have more than 1 different value across the rows, must be specified in this argument, otherwise you'll get an error.\n", " detailed_cols=['CM_3[HM_1', 'CM_3[HM_2'], # a list of the specific combinations of arguments to be plotted joined by [\n", " data_on_x_axis='BLOCK1:ZONE2_ASHRAE 55 Running mean outdoor temperature (°C)', #column name (string) for the data on x axis\n", " data_on_y_main_axis=[ #list which includes the name of the axis on the first place, and then in the second place, a list which includes the column names you want to plot\n", " [\n", " 'Indoor Operative Temperature (°C)',\n", " [\n", " 'Adaptive Cooling Setpoint Temperature_No Tolerance (°C)',\n", " 'Adaptive Heating Setpoint Temperature_No Tolerance (°C)',\n", " 'Building_Total_Zone Operative Temperature (°C) (mean)',\n", " ]\n", " ],\n", " ],\n", " colorlist_y_main_axis=[\n", " [\n", " 'Indoor Operative Temperature (°C)',\n", " [\n", " 'b',\n", " 'r',\n", " 'g',\n", " ]\n", " ],\n", " ],\n", " rows_renaming_dict={\n", " 'Chapeco[Present': 'Chapeco Present',\n", " 'Chapeco[RCP85-2100': 'Chapeco RCP85-2100',\n", " 'Palmas[Present': 'Palmas Present',\n", " 'Palmas[RCP85-2100': 'Palmas RCP85-2100',\n", " },\n", " cols_renaming_dict={\n", " 'CM_3[HM_1': 'Brazilian model NV',\n", " 'CM_3[HM_2': 'Brazilian model MM',\n", " },\n", " supxlabel='Running Mean Outdoor Temperature (°C)', # data label on x axis\n", " figname='Scatterplot_NV_vs_MM',\n", " figsize=6,\n", " ratio_height_to_width=0.33,\n", " confirm_graph=True\n", ")" ] }, { "cell_type": "markdown", "id": "339ad6d2", "metadata": {}, "source": [ "In this figure, you can see on the left column the simulations with free-running (or naturally ventilated) mode, while on the right, the same simulations using mixed-mode with adaptive setpoint temperatures, which introduce all hourly indoor temperatures within the adaptive thermal comfort limits." ] }, { "cell_type": "markdown", "id": "358ac545", "metadata": {}, "source": [ "Next, let's compare the indoor temperatures of all idfs we have generated, and in this case, we're also going to plot the hourly energy demand on the main y axis, and the air renovation and operative temperature in 2 spines in the twin y axis." ] }, { "cell_type": "code", "execution_count": 11, "id": "f3fd0180", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The number of rows and the list of these is going to be:\n", "No. of rows = 4\n", "List of rows:\n", "Chapeco[Present\n", "Chapeco[RCP85-2100\n", "Palmas[Present\n", "Palmas[RCP85-2100\n", "The renamed rows are going to be:\n", "Chapeco Present\n", "Chapeco RCP85-2100\n", "Palmas Present\n", "Palmas RCP85-2100\n", "The number of columns and the list of these is going to be:\n", "No. of columns = 3\n", "List of columns:\n", "CM_3[HM_1\n", "CM_0[HM_2\n", "CM_3[HM_2\n", "The renamed columns are going to be:\n", "Brazilian adaptive NV\n", "Brazilian static MM\n", "Brazilian adaptive MM\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "dataset_hourly.scatter_plot(\n", " vars_to_gather_cols=['ComfMod', 'HVACmode'], # variables to gather in rows of subplots\n", " vars_to_gather_rows=['EPW_City_or_subcountry', 'EPW_Scenario-Year'],# variables to gather in columns of subplots\n", " detailed_cols=['CM_0[HM_2', 'CM_3[HM_1', 'CM_3[HM_2'], #we only want to see those combinations\n", " custom_cols_order=['CM_3[HM_1', 'CM_0[HM_2', 'CM_3[HM_2'],\n", " data_on_x_axis='BLOCK1:ZONE2_ASHRAE 55 Running mean outdoor temperature (°C)', #column name (string) for the data on x axis\n", " data_on_y_main_axis=[ # similarly to above, a list including the name of the secondary y-axis and the column names you want to plot in it\n", " [\n", " 'Energy (kWh/m2)',\n", " [\n", " 'Building_Total_Cooling Energy Demand (kWh/m2) (summed)',\n", " 'Building_Total_Heating Energy Demand (kWh/m2) (summed)',\n", " ]\n", " ],\n", "\n", " ],\n", " data_on_y_sec_axis=[ #list which includes the name of the axis on the first place, and then in the second place, a list which includes the column names you want to plot\n", " [\n", " 'Air renovation (ach)',\n", " [\n", " 'Building_Total_AFN Zone Infiltration Air Change Rate (ach) (summed)'\n", " ]\n", " ],\n", " [\n", " 'Operative Temperature (°C)',\n", " [\n", " 'Adaptive Cooling Setpoint Temperature_No Tolerance (°C)',\n", " 'Adaptive Heating Setpoint Temperature_No Tolerance (°C)',\n", " 'Building_Total_Zone Operative Temperature (°C) (mean)',\n", " ]\n", " ],\n", " ],\n", " colorlist_y_main_axis=[\n", " [\n", " 'Energy (kWh/m2)',\n", " [\n", " 'cyan',\n", " 'orange',\n", " ]\n", " ],\n", " ],\n", " colorlist_y_sec_axis=[\n", " [\n", " 'Air renovation (ach)',\n", " [\n", " 'yellow'\n", " ]\n", " ],\n", " [\n", " 'Operative Temperature (°C)',\n", " [\n", " 'b',\n", " 'r',\n", " 'g',\n", " ]\n", " ],\n", " ],\n", "\n", " rows_renaming_dict={\n", " 'Chapeco[Present': 'Chapeco Present',\n", " 'Chapeco[RCP85-2100': 'Chapeco RCP85-2100',\n", " 'Palmas[Present': 'Palmas Present',\n", " 'Palmas[RCP85-2100': 'Palmas RCP85-2100',\n", " },\n", " cols_renaming_dict={\n", " 'CM_3[HM_1': 'Brazilian adaptive NV', \n", " 'CM_0[HM_2': 'Brazilian static MM',\n", " 'CM_3[HM_2': 'Brazilian adaptive MM',\n", " },\n", " supxlabel='Running Mean Outdoor Temperature (°C)', # data label on x axis\n", " figname=f'scatterplot_BRA_stat_BRA_adap_BRA_nv',\n", " figsize=6,\n", " ratio_height_to_width=0.33,\n", " confirm_graph=True\n", ")" ] }, { "cell_type": "markdown", "id": "ecb7b70c", "metadata": {}, "source": [ "Now, let's plot a similar figure to the first scatterplot, but showing the time in the x axis. In this case, we should use the method ``time_plot``:" ] }, { "cell_type": "code", "execution_count": 12, "id": "67927348", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The number of rows and the list of these is going to be:\n", "No. of rows = 4\n", "List of rows:\n", "Brazil_Chapeco_Present\n", "Brazil_Chapeco_RCP85-2100\n", "Brazil_Palmas_Present\n", "Brazil_Palmas_RCP85-2100\n", "The renamed rows are going to be:\n", "Chapeco Present\n", "Chapeco RCP85-2100\n", "Palmas Present\n", "Palmas RCP85-2100\n", "The number of columns and the list of these is going to be:\n", "No. of columns = 2\n", "List of columns:\n", "CM_3[HM_1\n", "CM_3[HM_2\n", "The renamed columns are going to be:\n", "Brazilian model NV\n", "Brazilian model MM\n" ] }, { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "dataset_hourly.time_plot(\n", " vars_to_gather_rows=['EPW'], # variables to gather in rows of subplots\n", " vars_to_gather_cols=['ComfMod', 'HVACmode'],# variables to gather in columns of subplots; all categorical columns which have more than 1 different value across the rows, must be specified in this argument, otherwise you'll get an error.\n", " detailed_cols=['CM_3[HM_1', 'CM_3[HM_2'], # a list of the specific combinations of arguments to be plotted joined by [\n", " data_on_y_main_axis=[ #list which includes the name of the axis on the first place, and then in the second place, a list which includes the column names you want to plot\n", " [\n", " 'Indoor Operative Temperature (°C)',\n", " [\n", " 'Adaptive Cooling Setpoint Temperature_No Tolerance (°C)',\n", " 'Adaptive Heating Setpoint Temperature_No Tolerance (°C)',\n", " 'Building_Total_Zone Operative Temperature (°C) (mean)',\n", " ]\n", " ],\n", " ],\n", " colorlist_y_main_axis=[\n", " [\n", " 'Indoor Operative Temperature (°C)',\n", " [\n", " 'b',\n", " 'r',\n", " 'g',\n", " ]\n", " ],\n", " ],\n", " rows_renaming_dict={\n", " 'Brazil_Chapeco_Present': 'Chapeco Present',\n", " 'Brazil_Chapeco_RCP85-2100': 'Chapeco RCP85-2100',\n", " 'Brazil_Palmas_Present': 'Palmas Present',\n", " 'Brazil_Palmas_RCP85-2100': 'Palmas RCP85-2100',\n", " },\n", " cols_renaming_dict={\n", " 'CM_3[HM_1': 'Brazilian model NV',\n", " 'CM_3[HM_2': 'Brazilian model MM',\n", " },\n", " figname='Timeplot_NV_vs_MM',\n", " figsize=6,\n", " ratio_height_to_width=0.33,\n", " confirm_graph=True\n", ")" ] }, { "cell_type": "markdown", "id": "3439256f", "metadata": {}, "source": [ "### 3.2 Analysing the data" ] }, { "cell_type": "markdown", "id": "eec8ec84", "metadata": {}, "source": [ "Now, let's see how many comfort hours there are, as well as the impact on energy demand. Since we want to see the runperiod totals, we will need to make a new instance of ``Table``, asking for runperiod frequency this time." ] }, { "cell_type": "code", "execution_count": 13, "id": "f1a1f059", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "No zones have been excluded from level computations.\n" ] } ], "source": [ "from accim.data.data_postprocessing import Table\n", "dataset_runperiod = Table(\n", " #datasets=list #Since we are not specifying any list, it will use all available CSVs in the folder\n", " source_frequency='hourly', # This lets accim know which is the frequency of the input CSVs. Input CSVs with multiple frequencies are also allowed. It can be 'hourly', 'daily', 'monthly' and 'runperiod'. It can also be 'timestep' but might generate errors.\n", " frequency='runperiod', # If 'daily', accim will aggregate the rows in days. It can be 'hourly', 'daily', 'monthly' and 'runperiod'. It can also be 'timestep' but might generate errors.\n", " frequency_agg_func='sum', #this makes the sum or average when aggregating in days, months or runperiod; since the original CSV frequency is in hour, it won't make any aeffect\n", " standard_outputs=True, \n", " level=['building'], # A list containing the strings 'block' and/or 'building'. For instance, if ['block', 'building'], accim will generate new columns to sum up or average in blocks and building level.\n", " level_agg_func=['sum', 'mean'], # A list containing the strings 'sum' and/or 'mean'. For instance, if ['sum', 'mean'], accim will generate the new columns explained in the level argument by summing and averaging.\n", " level_excluded_zones=[],\n", " split_epw_names=True, #to split EPW names based on the pattern Country_City_RCPscenario-Year\n", ")\n", "\n", "dataset_runperiod.format_table(\n", " type_of_table='custom',\n", " custom_cols=[\n", " 'Building_Total_Comfortable Hours_No Applicability (h) (mean)',\n", " 'Building_Total_Total Energy Demand (kWh/m2) (summed)'\n", " ]\n", ")" ] }, { "cell_type": "markdown", "id": "21cf8204", "metadata": {}, "source": [ "Let's see the dataframe we currently have:" ] }, { "cell_type": "code", "execution_count": 14, "id": "3a6e1cf2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ModelComfStandCATComfModHVACmodeVentCtrlVSToffsetMinOToffsetMaxWindSpeedASTtolNameSuffixEPWSourceEPW_Country_nameEPW_City_or_subcountryEPW_Scenario-YearEPW_ScenarioEPW_YearBuilding_Total_Comfortable Hours_No Applicability (h) (mean)Building_Total_Total Energy Demand (kWh/m2) (summed)
0TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Chapeco_PresentTestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[...BrazilChapecoPresentPresentPresent8324.083333771.650143
1TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Chapeco_RCP85-2100TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[...BrazilChapecoRCP85-2100RCP8521008412.166667827.100181
2TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Palmas_PresentTestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[...BrazilPalmasPresentPresentPresent8537.000000941.592076
3TestModelCS_BRA Rupp NVCA_80CM_0HM_2VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Palmas_RCP85-2100TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[...BrazilPalmasRCP85-2100RCP8521008580.3333331171.153737
4TestModelCS_BRA Rupp NVCA_80CM_3HM_1VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Chapeco_PresentTestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[...BrazilChapecoPresentPresentPresent7389.5000000.000000
5TestModelCS_BRA Rupp NVCA_80CM_3HM_1VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Chapeco_RCP85-2100TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[...BrazilChapecoRCP85-2100RCP8521005952.3333330.000000
6TestModelCS_BRA Rupp NVCA_80CM_3HM_1VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Palmas_PresentTestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[...BrazilPalmasPresentPresentPresent3294.9166670.000000
7TestModelCS_BRA Rupp NVCA_80CM_3HM_1VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Palmas_RCP85-2100TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[...BrazilPalmasRCP85-2100RCP85210048.9166670.000000
8TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Chapeco_PresentTestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[...BrazilChapecoPresentPresentPresent8712.000000235.098855
9TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Chapeco_RCP85-2100TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[...BrazilChapecoRCP85-2100RCP8521008686.750000384.975840
10TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Palmas_PresentTestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[...BrazilPalmasPresentPresentPresent8650.333333653.681614
11TestModelCS_BRA Rupp NVCA_80CM_3HM_2VC_0VO_0.0MT_50.0MW_50.0AT_0.1NS_XBrazil_Palmas_RCP85-2100TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[...BrazilPalmasRCP85-2100RCP8521008577.750000945.547231
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" ], "text/plain": [ " Model ComfStand CAT ComfMod HVACmode VentCtrl VSToffset \\\n", "0 TestModel CS_BRA Rupp NV CA_80 CM_0 HM_2 VC_0 VO_0.0 \n", "1 TestModel CS_BRA Rupp NV CA_80 CM_0 HM_2 VC_0 VO_0.0 \n", "2 TestModel CS_BRA Rupp NV CA_80 CM_0 HM_2 VC_0 VO_0.0 \n", "3 TestModel CS_BRA Rupp NV CA_80 CM_0 HM_2 VC_0 VO_0.0 \n", "4 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_1 VC_0 VO_0.0 \n", "5 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_1 VC_0 VO_0.0 \n", "6 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_1 VC_0 VO_0.0 \n", "7 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_1 VC_0 VO_0.0 \n", "8 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_2 VC_0 VO_0.0 \n", "9 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_2 VC_0 VO_0.0 \n", "10 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_2 VC_0 VO_0.0 \n", "11 TestModel CS_BRA Rupp NV CA_80 CM_3 HM_2 VC_0 VO_0.0 \n", "\n", " MinOToffset MaxWindSpeed ASTtol NameSuffix EPW \\\n", "0 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Chapeco_Present \n", "1 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Chapeco_RCP85-2100 \n", "2 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Palmas_Present \n", "3 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Palmas_RCP85-2100 \n", "4 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Chapeco_Present \n", "5 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Chapeco_RCP85-2100 \n", "6 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Palmas_Present \n", "7 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Palmas_RCP85-2100 \n", "8 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Chapeco_Present \n", "9 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Chapeco_RCP85-2100 \n", "10 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Palmas_Present \n", "11 MT_50.0 MW_50.0 AT_0.1 NS_X Brazil_Palmas_RCP85-2100 \n", "\n", " Source EPW_Country_name \\\n", "0 TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[... Brazil \n", "1 TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[... Brazil \n", "2 TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[... Brazil \n", "3 TestModel[CS_BRA Rupp NV[CA_80[CM_0[HM_2[VC_0[... Brazil \n", "4 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[... Brazil \n", "5 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[... Brazil \n", "6 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[... Brazil \n", "7 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_1[VC_0[... Brazil \n", "8 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[... Brazil \n", "9 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[... Brazil \n", "10 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[... Brazil \n", "11 TestModel[CS_BRA Rupp NV[CA_80[CM_3[HM_2[VC_0[... Brazil \n", "\n", " EPW_City_or_subcountry EPW_Scenario-Year EPW_Scenario EPW_Year \\\n", "0 Chapeco Present Present Present \n", "1 Chapeco RCP85-2100 RCP85 2100 \n", "2 Palmas Present Present Present \n", "3 Palmas RCP85-2100 RCP85 2100 \n", "4 Chapeco Present Present Present \n", "5 Chapeco RCP85-2100 RCP85 2100 \n", "6 Palmas Present Present Present \n", "7 Palmas RCP85-2100 RCP85 2100 \n", "8 Chapeco Present Present Present \n", "9 Chapeco RCP85-2100 RCP85 2100 \n", "10 Palmas Present Present Present \n", "11 Palmas RCP85-2100 RCP85 2100 \n", "\n", " Building_Total_Comfortable Hours_No Applicability (h) (mean) \\\n", "0 8324.083333 \n", "1 8412.166667 \n", "2 8537.000000 \n", "3 8580.333333 \n", "4 7389.500000 \n", "5 5952.333333 \n", "6 3294.916667 \n", "7 48.916667 \n", "8 8712.000000 \n", "9 8686.750000 \n", "10 8650.333333 \n", "11 8577.750000 \n", "\n", " Building_Total_Total Energy Demand (kWh/m2) (summed) \n", "0 771.650143 \n", "1 827.100181 \n", "2 941.592076 \n", "3 1171.153737 \n", "4 0.000000 \n", "5 0.000000 \n", "6 0.000000 \n", "7 0.000000 \n", "8 235.098855 \n", "9 384.975840 \n", "10 653.681614 \n", "11 945.547231 " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset_runperiod.df" ] }, { "cell_type": "markdown", "id": "d5ae20a8", "metadata": {}, "source": [ "Data is not easy to read like that, so let's make it clearer by using the ``wrangled_table`` method and passing ``multiindex`` in the ``reshaping`` argument:" ] }, { "cell_type": "code", "execution_count": 15, "id": "62ef67ac", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "No reshaping method has been applied, only multiindexing.\n" ] }, { "data": { "text/html": [ "
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Building_Total_Comfortable Hours_No Applicability (h) (mean)Building_Total_Total Energy Demand (kWh/m2) (summed)
ComfModHVACmodeEPW_City_or_subcountryEPW_ScenarioEPW_Year
CM_0HM_2ChapecoPresentPresent8324.083333771.650143
RCP8521008412.166667827.100181
PalmasPresentPresent8537.000000941.592076
RCP8521008580.3333331171.153737
CM_3HM_1ChapecoPresentPresent7389.5000000.000000
RCP8521005952.3333330.000000
PalmasPresentPresent3294.9166670.000000
RCP85210048.9166670.000000
HM_2ChapecoPresentPresent8712.000000235.098855
RCP8521008686.750000384.975840
PalmasPresentPresent8650.333333653.681614
RCP8521008577.750000945.547231
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" ], "text/plain": [ " Building_Total_Comfortable Hours_No Applicability (h) (mean) \\\n", "ComfMod HVACmode EPW_City_or_subcountry EPW_Scenario EPW_Year \n", "CM_0 HM_2 Chapeco Present Present 8324.083333 \n", " RCP85 2100 8412.166667 \n", " Palmas Present Present 8537.000000 \n", " RCP85 2100 8580.333333 \n", "CM_3 HM_1 Chapeco Present Present 7389.500000 \n", " RCP85 2100 5952.333333 \n", " Palmas Present Present 3294.916667 \n", " RCP85 2100 48.916667 \n", " HM_2 Chapeco Present Present 8712.000000 \n", " RCP85 2100 8686.750000 \n", " Palmas Present Present 8650.333333 \n", " RCP85 2100 8577.750000 \n", "\n", " Building_Total_Total Energy Demand (kWh/m2) (summed) \n", "ComfMod HVACmode EPW_City_or_subcountry EPW_Scenario EPW_Year \n", "CM_0 HM_2 Chapeco Present Present 771.650143 \n", " RCP85 2100 827.100181 \n", " Palmas Present Present 941.592076 \n", " RCP85 2100 1171.153737 \n", "CM_3 HM_1 Chapeco Present Present 0.000000 \n", " RCP85 2100 0.000000 \n", " Palmas Present Present 0.000000 \n", " RCP85 2100 0.000000 \n", " HM_2 Chapeco Present Present 235.098855 \n", " RCP85 2100 384.975840 \n", " Palmas Present Present 653.681614 \n", " RCP85 2100 945.547231 " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset_runperiod.wrangled_table(reshaping='multiindex')\n", "\n", "dataset_runperiod.wrangled_df_multiindex" ] }, { "cell_type": "markdown", "id": "752cf1be", "metadata": {}, "source": [ "Now it's better, but we'd like to unstack the variables ComfMod and HVACmode, that is, move them from rows to columns:" ] }, { "cell_type": "code", "execution_count": 16, "id": "b8d40729", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Building_Total_Comfortable Hours_No Applicability (h) (mean)Building_Total_Total Energy Demand (kWh/m2) (summed)
BRA_Stat_MMBRA_Adap_NVBRA_Adap_MMBRA_Stat_MMBRA_Adap_NVBRA_Adap_MM
EPW_City_or_subcountryEPW_ScenarioEPW_Year
ChapecoPresentPresent8324.087389.508712.00771.650.0235.10
RCP8521008412.175952.338686.75827.100.0384.98
PalmasPresentPresent8537.003294.928650.33941.590.0653.68
RCP8521008580.3348.928577.751171.150.0945.55
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" ], "text/plain": [ " Building_Total_Comfortable Hours_No Applicability (h) (mean) \\\n", " BRA_Stat_MM \n", "EPW_City_or_subcountry EPW_Scenario EPW_Year \n", "Chapeco Present Present 8324.08 \n", " RCP85 2100 8412.17 \n", "Palmas Present Present 8537.00 \n", " RCP85 2100 8580.33 \n", "\n", " \\\n", " BRA_Adap_NV BRA_Adap_MM \n", "EPW_City_or_subcountry EPW_Scenario EPW_Year \n", "Chapeco Present Present 7389.50 8712.00 \n", " RCP85 2100 5952.33 8686.75 \n", "Palmas Present Present 3294.92 8650.33 \n", " RCP85 2100 48.92 8577.75 \n", "\n", " Building_Total_Total Energy Demand (kWh/m2) (summed) \\\n", " BRA_Stat_MM \n", "EPW_City_or_subcountry EPW_Scenario EPW_Year \n", "Chapeco Present Present 771.65 \n", " RCP85 2100 827.10 \n", "Palmas Present Present 941.59 \n", " RCP85 2100 1171.15 \n", "\n", " \n", " BRA_Adap_NV BRA_Adap_MM \n", "EPW_City_or_subcountry EPW_Scenario EPW_Year \n", "Chapeco Present Present 0.0 235.10 \n", " RCP85 2100 0.0 384.98 \n", "Palmas Present Present 0.0 653.68 \n", " RCP85 2100 0.0 945.55 " ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset_runperiod.wrangled_table(\n", " reshaping='unstack',\n", " vars_to_gather=['ComfMod', 'HVACmode'],\n", " rename_dict={\n", " 'CM_0[HM_2': 'BRA_Stat_MM',\n", " 'CM_3[HM_1': 'BRA_Adap_NV',\n", " 'CM_3[HM_2': 'BRA_Adap_MM',\n", " }\n", ")\n", "\n", "dataset_runperiod.wrangled_df_unstacked" ] }, { "cell_type": "markdown", "id": "4a41cfe5", "metadata": {}, "source": [ "The table above shows us the comfort hours in NV (BRA_Adap_NV) mode ranges between 7389.50 and 48.92 hours, while the same comfort model in mixed-mode with adaptive setpoints (BRA_Adap_MM) ranges between 8712.00 and 8577.75. Since there is no HVAC system in NV mode, the energy consumption is 0. With adaptive setpoints, the hvac energy demand ranges between 235.10 and 945.55 (kWh/m2·year), while with the static setpoints it ranges between 771.65 and 1171.15." ] }, { "cell_type": "markdown", "id": "894d81f8", "metadata": {}, "source": [ "But, what if we want to know the heating, cooling and total energy demand increase or decrease percentage of, for instance, BRA_Adap_MM, compared to the other combinations?" ] }, { "cell_type": "code", "execution_count": 17, "id": "4ea38904", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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EPW_City_or_subcountryChapecoPalmas
EPW_ScenarioPresentRCP85PresentRCP85
EPW_YearPresent2100Present2100
Building_Total_Heating Energy Demand (kWh/m2) (summed)BRA_Stat_MM127.3930.260.000.00
BRA_Adap_NV0.000.000.000.00
BRA_Adap_MM48.1819.490.000.00
1-(BRA_Adap_MM/BRA_Stat_MM)0.620.36NaNNaN
BRA_Stat_MM - BRA_Adap_MM79.2110.770.000.00
1-(BRA_Adap_MM/BRA_Adap_NV)-inf-infNaNNaN
BRA_Adap_NV - BRA_Adap_MM-48.18-19.490.000.00
Building_Total_Cooling Energy Demand (kWh/m2) (summed)BRA_Stat_MM644.26796.84941.591171.15
BRA_Adap_NV0.000.000.000.00
BRA_Adap_MM186.92365.49653.68945.55
1-(BRA_Adap_MM/BRA_Stat_MM)0.710.540.310.19
BRA_Stat_MM - BRA_Adap_MM457.34431.35287.91225.61
1-(BRA_Adap_MM/BRA_Adap_NV)-inf-inf-inf-inf
BRA_Adap_NV - BRA_Adap_MM-186.92-365.49-653.68-945.55
Building_Total_Total Energy Demand (kWh/m2) (summed)BRA_Stat_MM771.65827.10941.591171.15
BRA_Adap_NV0.000.000.000.00
BRA_Adap_MM235.10384.98653.68945.55
1-(BRA_Adap_MM/BRA_Stat_MM)0.700.530.310.19
BRA_Stat_MM - BRA_Adap_MM536.55442.12287.91225.61
1-(BRA_Adap_MM/BRA_Adap_NV)-inf-inf-inf-inf
BRA_Adap_NV - BRA_Adap_MM-235.10-384.98-653.68-945.55
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" ], "text/plain": [ "EPW_City_or_subcountry Chapeco \\\n", "EPW_Scenario Present \n", "EPW_Year Present \n", "Building_Total_Heating Energy Demand (kWh/m2) (... BRA_Stat_MM 127.39 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 48.18 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.62 \n", " BRA_Stat_MM - BRA_Adap_MM 79.21 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -48.18 \n", "Building_Total_Cooling Energy Demand (kWh/m2) (... BRA_Stat_MM 644.26 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 186.92 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.71 \n", " BRA_Stat_MM - BRA_Adap_MM 457.34 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -186.92 \n", "Building_Total_Total Energy Demand (kWh/m2) (su... BRA_Stat_MM 771.65 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 235.10 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.70 \n", " BRA_Stat_MM - BRA_Adap_MM 536.55 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -235.10 \n", "\n", "EPW_City_or_subcountry \\\n", "EPW_Scenario RCP85 \n", "EPW_Year 2100 \n", "Building_Total_Heating Energy Demand (kWh/m2) (... BRA_Stat_MM 30.26 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 19.49 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.36 \n", " BRA_Stat_MM - BRA_Adap_MM 10.77 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -19.49 \n", "Building_Total_Cooling Energy Demand (kWh/m2) (... BRA_Stat_MM 796.84 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 365.49 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.54 \n", " BRA_Stat_MM - BRA_Adap_MM 431.35 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -365.49 \n", "Building_Total_Total Energy Demand (kWh/m2) (su... BRA_Stat_MM 827.10 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 384.98 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.53 \n", " BRA_Stat_MM - BRA_Adap_MM 442.12 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -384.98 \n", "\n", "EPW_City_or_subcountry Palmas \\\n", "EPW_Scenario Present \n", "EPW_Year Present \n", "Building_Total_Heating Energy Demand (kWh/m2) (... BRA_Stat_MM 0.00 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 0.00 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) NaN \n", " BRA_Stat_MM - BRA_Adap_MM 0.00 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) NaN \n", " BRA_Adap_NV - BRA_Adap_MM 0.00 \n", "Building_Total_Cooling Energy Demand (kWh/m2) (... BRA_Stat_MM 941.59 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 653.68 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.31 \n", " BRA_Stat_MM - BRA_Adap_MM 287.91 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -653.68 \n", "Building_Total_Total Energy Demand (kWh/m2) (su... BRA_Stat_MM 941.59 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 653.68 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.31 \n", " BRA_Stat_MM - BRA_Adap_MM 287.91 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -653.68 \n", "\n", "EPW_City_or_subcountry \n", "EPW_Scenario RCP85 \n", "EPW_Year 2100 \n", "Building_Total_Heating Energy Demand (kWh/m2) (... BRA_Stat_MM 0.00 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 0.00 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) NaN \n", " BRA_Stat_MM - BRA_Adap_MM 0.00 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) NaN \n", " BRA_Adap_NV - BRA_Adap_MM 0.00 \n", "Building_Total_Cooling Energy Demand (kWh/m2) (... BRA_Stat_MM 1171.15 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 945.55 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.19 \n", " BRA_Stat_MM - BRA_Adap_MM 225.61 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -945.55 \n", "Building_Total_Total Energy Demand (kWh/m2) (su... BRA_Stat_MM 1171.15 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 945.55 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.19 \n", " BRA_Stat_MM - BRA_Adap_MM 225.61 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -945.55 " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset_runperiod.format_table(\n", " type_of_table='custom',\n", " custom_cols=[\n", " 'Building_Total_Heating Energy Demand (kWh/m2) (summed)',\n", " 'Building_Total_Cooling Energy Demand (kWh/m2) (summed)',\n", " 'Building_Total_Total Energy Demand (kWh/m2) (summed)',\n", " ]\n", ")\n", "\n", "dataset_runperiod.wrangled_table(\n", " reshaping='unstack',\n", " vars_to_gather=['ComfMod', 'HVACmode'],\n", " \n", " baseline='CM_3[HM_2',\n", " comparison_mode=['baseline compared to others'],\n", " comparison_cols=['relative', 'absolute'],\n", " \n", " rename_dict={\n", " 'CM_0[HM_2': 'BRA_Stat_MM',\n", " 'CM_3[HM_1': 'BRA_Adap_NV',\n", " 'CM_3[HM_2': 'BRA_Adap_MM',\n", " },\n", " transpose=True\n", ")\n", "\n", "dataset_runperiod.wrangled_df_unstacked" ] }, { "cell_type": "markdown", "id": "3d1d5b41", "metadata": {}, "source": [ "For instance, we can see the adaptive setpoints provide reductions in energy demand compared to the static setpoints ranging between 70 and 19%, depending on the scenarios and climate zones." ] }, { "cell_type": "markdown", "id": "10e4501f", "metadata": {}, "source": [ "Now, we could finally export this table to Excel format for later style edition. Since the reshaping argument we used in the `wrangled_table()` method was 'unstack', the dataframe we are looking for to be exported is `dataset_runperiod.wrangled_df_unstacked`. If we used the 'pivot' argument, the dataframe would have been `dataset_runperiod.wrangled_df_pivoted`. So let's export it:" ] }, { "cell_type": "code", "execution_count": 18, "id": "b8bbc43d", "metadata": {}, "outputs": [], "source": [ "dataset_runperiod.wrangled_df_unstacked.to_excel('df_unstacked.xlsx')" ] }, { "cell_type": "code", "execution_count": 19, "id": "7eb1efb9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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EPW_City_or_subcountryChapecoPalmas
EPW_ScenarioPresentRCP85PresentRCP85
EPW_YearPresent2100Present2100
Building_Total_Heating Energy Demand (kWh/m2) (summed)BRA_Stat_MM127.3930.260.000.00
BRA_Adap_NV0.000.000.000.00
BRA_Adap_MM48.1819.490.000.00
1-(BRA_Adap_MM/BRA_Stat_MM)0.620.36NaNNaN
BRA_Stat_MM - BRA_Adap_MM79.2110.770.000.00
1-(BRA_Adap_MM/BRA_Adap_NV)-inf-infNaNNaN
BRA_Adap_NV - BRA_Adap_MM-48.18-19.490.000.00
Building_Total_Cooling Energy Demand (kWh/m2) (summed)BRA_Stat_MM644.26796.84941.591171.15
BRA_Adap_NV0.000.000.000.00
BRA_Adap_MM186.92365.49653.68945.55
1-(BRA_Adap_MM/BRA_Stat_MM)0.710.540.310.19
BRA_Stat_MM - BRA_Adap_MM457.34431.35287.91225.61
1-(BRA_Adap_MM/BRA_Adap_NV)-inf-inf-inf-inf
BRA_Adap_NV - BRA_Adap_MM-186.92-365.49-653.68-945.55
Building_Total_Total Energy Demand (kWh/m2) (summed)BRA_Stat_MM771.65827.10941.591171.15
BRA_Adap_NV0.000.000.000.00
BRA_Adap_MM235.10384.98653.68945.55
1-(BRA_Adap_MM/BRA_Stat_MM)0.700.530.310.19
BRA_Stat_MM - BRA_Adap_MM536.55442.12287.91225.61
1-(BRA_Adap_MM/BRA_Adap_NV)-inf-inf-inf-inf
BRA_Adap_NV - BRA_Adap_MM-235.10-384.98-653.68-945.55
\n", "
" ], "text/plain": [ "EPW_City_or_subcountry Chapeco \\\n", "EPW_Scenario Present \n", "EPW_Year Present \n", "Building_Total_Heating Energy Demand (kWh/m2) (... BRA_Stat_MM 127.39 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 48.18 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.62 \n", " BRA_Stat_MM - BRA_Adap_MM 79.21 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -48.18 \n", "Building_Total_Cooling Energy Demand (kWh/m2) (... BRA_Stat_MM 644.26 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 186.92 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.71 \n", " BRA_Stat_MM - BRA_Adap_MM 457.34 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -186.92 \n", "Building_Total_Total Energy Demand (kWh/m2) (su... BRA_Stat_MM 771.65 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 235.10 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.70 \n", " BRA_Stat_MM - BRA_Adap_MM 536.55 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -235.10 \n", "\n", "EPW_City_or_subcountry \\\n", "EPW_Scenario RCP85 \n", "EPW_Year 2100 \n", "Building_Total_Heating Energy Demand (kWh/m2) (... BRA_Stat_MM 30.26 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 19.49 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.36 \n", " BRA_Stat_MM - BRA_Adap_MM 10.77 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -19.49 \n", "Building_Total_Cooling Energy Demand (kWh/m2) (... BRA_Stat_MM 796.84 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 365.49 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.54 \n", " BRA_Stat_MM - BRA_Adap_MM 431.35 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -365.49 \n", "Building_Total_Total Energy Demand (kWh/m2) (su... BRA_Stat_MM 827.10 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 384.98 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.53 \n", " BRA_Stat_MM - BRA_Adap_MM 442.12 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -384.98 \n", "\n", "EPW_City_or_subcountry Palmas \\\n", "EPW_Scenario Present \n", "EPW_Year Present \n", "Building_Total_Heating Energy Demand (kWh/m2) (... BRA_Stat_MM 0.00 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 0.00 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) NaN \n", " BRA_Stat_MM - BRA_Adap_MM 0.00 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) NaN \n", " BRA_Adap_NV - BRA_Adap_MM 0.00 \n", "Building_Total_Cooling Energy Demand (kWh/m2) (... BRA_Stat_MM 941.59 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 653.68 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.31 \n", " BRA_Stat_MM - BRA_Adap_MM 287.91 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -653.68 \n", "Building_Total_Total Energy Demand (kWh/m2) (su... BRA_Stat_MM 941.59 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 653.68 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.31 \n", " BRA_Stat_MM - BRA_Adap_MM 287.91 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -653.68 \n", "\n", "EPW_City_or_subcountry \n", "EPW_Scenario RCP85 \n", "EPW_Year 2100 \n", "Building_Total_Heating Energy Demand (kWh/m2) (... BRA_Stat_MM 0.00 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 0.00 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) NaN \n", " BRA_Stat_MM - BRA_Adap_MM 0.00 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) NaN \n", " BRA_Adap_NV - BRA_Adap_MM 0.00 \n", "Building_Total_Cooling Energy Demand (kWh/m2) (... BRA_Stat_MM 1171.15 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 945.55 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.19 \n", " BRA_Stat_MM - BRA_Adap_MM 225.61 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -945.55 \n", "Building_Total_Total Energy Demand (kWh/m2) (su... BRA_Stat_MM 1171.15 \n", " BRA_Adap_NV 0.00 \n", " BRA_Adap_MM 945.55 \n", " 1-(BRA_Adap_MM/BRA_Stat_MM) 0.19 \n", " BRA_Stat_MM - BRA_Adap_MM 225.61 \n", " 1-(BRA_Adap_MM/BRA_Adap_NV) -inf \n", " BRA_Adap_NV - BRA_Adap_MM -945.55 " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "\n", "df = pd.read_excel('df_unstacked.xlsx', header=[0, 1, 2], index_col=[0, 1])\n", "df" ] }, { "cell_type": "markdown", "id": "07bc70a2", "metadata": {}, "source": [ "Finally, so that we can run this jupyter notebook again, let's leave everything as it was at the beginning." ] }, { "cell_type": "code", "execution_count": 44, "id": "fb035b92", "metadata": {}, "outputs": [], "source": [ "for i in original_epws:\n", " shutil.move(f'backup/{i}', i)" ] }, { "cell_type": "code", "execution_count": null, "id": "b6137656", "metadata": {}, "outputs": [], "source": [ "files_to_delete = [i for i in listdir() if i not in input_files]" ] }, { "cell_type": "code", "execution_count": 46, "id": "e2d79466", "metadata": {}, "outputs": [], "source": [ "for i in files_to_delete:\n", " remove(i)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.4" } }, "nbformat": 4, "nbformat_minor": 5 }