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# Architecture and Implementation
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**bim2sim** is implemented in Python, making it accessible and interoperable with other tools in the building analysis ecosystem. The general structure is illustrated in Figure \autoref{fig:bim2sim_framework}.
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**bim2sim** is implemented in Python, making it accessible and interoperable with other tools in the building analysis ecosystem. The general structure is illustrated in \autoref{fig:bim2sim_framework}.
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7.**OpenFOAM**: CFD simulation (under development, open-source available in fall 2025)
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# Existing Publications on Methodology
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* The methodology and use case demonstration for the BEPS-focused plugins **TEASER** and **EnergyPlus** will be published in a forthcoming paper by Jansen et al. [@Jansen2024bim2sim]
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* The methodology and use case demonstration for the BEPS-focused plugins **TEASER** and **EnergyPlus** will be published in a forthcoming paper by Jansen et al. [@Jansen2025bim2sim]
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* The methodology and detailed implementation of the HVAC-focused plugins **AixLib** and **HKESim** are comprehensively documented in Jansen et al. [@jansen2023bim2sim]
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* The algorithms for handling geometric and semantic inconsistencies within the SBs are presented in Richter et al. [@Richter.2021]
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* The framework for the BEPS-focused plugin **Comfort** has been presented in Richter et al. [@richterFrameworkAutomatedIFCbased2023].
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# Comparison with Similar Tools
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**bim2sim** builds upon previous efforts to leverage BIM data for building energy simulation. In our forthcoming paper [@Jansen2024bim2sim], we conducted a comprehensive review of existing BIM-to-simulation
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approaches. Table \autoref{tab:bim2bemApproaches} provides a comparative analysis of these tools, evaluating them across several dimensions: IFC version support, space and surface boundary handling, data enrichment capabilities, simulation domain coverage (BEPS, HVAC), architectural modularity, open-source availability, and implementation technologies.
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: IFC-based approaches from related research (chronologically ordered) as analyzed in [@Jansen2024bim2sim]. R: Required, G: Generation, P: Partially, Y: Yes, -: No/not applicable.\label{tab:bim2bemApproaches}
| bim2sim | bim2sim | IFC4 |R | R | template & manual |EnergyPlus, Modelica | Modelica | Y | Y | Python, ifcopenshell |
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**bim2sim** builds upon previous efforts to leverage BIM data for building energy simulation. In our forthcoming paper [@Jansen2025bim2sim], we conducted a comprehensive review of existing BIM-to-simulation
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approaches. \autoref{tab:bim2bemApproaches} provides a comparative analysis of these tools, evaluating them across several dimensions: IFC version support, simulation domain coverage (BEPS, HVAC), architectural modularity, open-source availability, and implementation technologies.
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: IFC-based approaches from related research (chronologically ordered) as analyzed in [@Jansen2025bim2sim]. P: Partially, Y: Yes, -: No/not applicable.\label{tab:bim2bemApproaches}
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| Reference | Name | IFC Version | BEPS | HVAC | Modularity | open-source | Implementation |
| bim2sim | bim2sim | IFC4 | EnergyPlus, Modelica | Modelica | Y | Y | Python, ifcopenshell |
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# Acknowledgments
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**bim2sim** was developed through collaboration between academic institutions (RWTH Aachen University's EBC - Institute for Energy Efficient Buildings and Indoor Climate, E3D - Institute of Energy Efficiency and Sustainable Building) and industry partners (ROM Technik GmbH). The framework was initially created under the "BIM2SIM" project with continued enhancement through the follow-up "BIM2Praxis" project, both funded by the German Federal Ministry for Economic Affairs and Energy (BMWi/BMWK).
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