Insight
Insight empowers architects and engineers to design more energy-efficient buildings with advanced simulation engines and building performance analysis data integrated in Revit.
pythermalcomfort
VerifiedPython package for calculating thermal comfort
Categories
Energy ModelingBuilding PerformanceSustainability
pythermalcomfort Overview
pythermalcomfort can be used to calculate thermal comfort indices (e.g., Predicted Mean Vote, adaptive models, Standard Equivalent Temperature), local discomfort, clothing insulation, and psychrometric properties of air.
We open-sourced the code and our package can be freely downloaded from PyPI using the following command ‘pip3 install pythermalcomfort’.
We open-sourced the code and our package can be freely downloaded from PyPI using the following command ‘pip3 install pythermalcomfort’.
pythermalcomfort can be used to calculate thermal comfort indices (e.g., Predicted Mean Vote, adaptive models, Standard Equivalent Temperature), local discomfort, clothing insulation, and psychrometric properties of air.
We open-sourced the code and our package can be freely downloaded from PyPI using the following command ‘pip3 install pythermalcomfort’.
We open-sourced the code and our package can be freely downloaded from PyPI using the following command ‘pip3 install pythermalcomfort’.
pythermalcomfort Pricing
PRICING PLANS
Base Plan|Free/Annually
Gallery
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