A Fast-Processing Open-Source Building Energy Model for Energy Communities

Publication date

2026

Authors

Sahoo, Somadutta
Joshi, Mitali YeshwantORCID 0000-0002-9624-8208ISNI 000000052391569X
Camargo, Luis RamirezORCID 0000-0002-1554-206XISNI 000000051256736X

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Advisors

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Document Type

/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/conferencearticle
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License

cc_by

Abstract

Renewable and Citizen energy communities offer a collective pathway to decarbonize the building energy sector through shared energy generation, investment, and energy efficiency. Social science studies focus on RECs and CECs are mostly case specific. Current energy system models mostly do not capture individual building heterogeneity. EnerPlanET, an open-source, web browser-based, and highly spatially explicit model, aims at addressing this gap by integrating building energy system with regional renewable and energy infrastructure planning. This paper presents an open-source single building parameterized Python-based model, called Building Energy Model (BuEM). BuEM is intended to become one of EnerPlanET’s modules. It is based on the lumped capacitance 5R1C model that follows the NEN-ISO 52016-1 standard. BuEM calculates thermal energy demands considering detailed 3D building geometry, weather, and a European, commonly used, buildings-related TABULA database. The model can calculate the hourly heating and cooling loads of building for a year in less than 8 seconds using a standard laptop. The model input choices can be made by users, developers, or modelers, where atypical characteristics of every building within a community can be captured, which is highly helpful in regional spatial planning.

Keywords

building energy model, energy communities, open-source, parameterization, python, regional spatial planning, Renewable Energy, Sustainability and the Environment, Fuel Technology, Energy Engineering and Power Technology, Energy (miscellaneous), SDG 7 - Affordable and Clean Energy

Citation

Sahoo, S, Joshi, M Y & Ramirez Camargo, L 2026, 'A Fast-Processing Open-Source Building Energy Model for Energy Communities', Energy Proceedings, vol. 65. https://doi.org/10.46855/energy-proceedings-12247