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DOE OSTI · 2563295

Enhancing EnergyPlus capabilities to model dynamic building envelopes using python plugin

Wijesuriya, Sajith [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000332137354)·Kishore, Ravi Anant [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000345499207)·Mitchell, Matt [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000209666138)·Booten, Chuck [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:000000026771613X)
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Abstract

Nearly half of the energy consumption in the United States is related to buildings, resulting in an urgent need to develop innovative technologies to improve building energy efficiency. Dynamic building envelopes, comprising switchable insulation and thermal energy storage materials, have been proposed recently as a promising solution to reduce buildings' heating and cooling loads by thermally coupling the indoor environment with the ambient environment when beneficial while decoupling them when outdoor conditions are not favorable. Although various related technologies are still underway, the whole-building energy modeling tools, like EnergyPlus, do not have the capability to simulate the transient and dynamic nature of dynamic envelope materials and components to accurately predict their impact on building energy use. The objective of this study is to formulate a method in EnergyPlus simulation engine to model multilayer envelopes, comprising dynamic building materials with variable thermophysical properties, and discuss the changes made to the program using a Python plugin. Furthermore, the thermal performance of the dynamic envelopes using the proposed method is compared and verified with the results from a well-established commercial code, COMSOL Multiphysics. A parametric assessment is also conducted to evaluate the energy efficiency benefits of dynamic envelopes in a single-family residential building, demonstrating total annual energy savings up to 11.6 %, when a dynamic envelope operates alone, and up to 18.2 % when it is combined with a thin layer of phase change material as a thermal storage medium. Finally, a United States wide energy efficiency assessment is presented to showcase the geographical spread of the energy savings. The method designed and implemented in this study provides the researchers with the ability to implement their dynamic insulation methods in EnergyPlus and evaluate the whole building energy impact.

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25 ENERGY STORAGE29 ENERGY PLANNING, POLICY, AND ECONOMYCOMSOLFEAPCMsadaptive envelopesbuildingsenergy efficiencyenergy modelingswitchable insulationthermal energy storagethermal switch

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Wijesuriya, Sajith [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000332137354), Kishore, Ravi Anant [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000345499207), Mitchell, Matt [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000209666138), Booten, Chuck [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:000000026771613X). 2025-04-20. Enhancing EnergyPlus capabilities to model dynamic building envelopes using python plugin. https://doi.org/10.1016/j.enbuild.2025.115776

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