SHP2SIM: a python pipeline for Modelica based district and urban scale energy simulations

Autor: Theresa Boiger, Gerald Schweiger
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: International Journal of Sustainable Energy, Vol 42, Iss 1, Pp 1028-1041 (2023)
Druh dokumentu: article
ISSN: 1478-6451
1478-646X
14786451
DOI: 10.1080/14786451.2023.2248526
Popis: Energy simulation models are crucial to estimate the energy demand of buildings, especially for prospective planning on a district or city scale. As required input data is not available in many cases, an automated model generation workflow is needed. Existing workflows have several disadvantages, including: (i) dependence on large input datasets of existing buildings; (ii) no 3D representation to support the planning process; (iii) they are proprietary solutions. The pipeline ‘SHP2SIM’ is an open-source python pipeline enabling enrichment and generation of building energy simulation models based on little input data for district and urban scale. The pipeline is tested by simulating the heat load for a district with 27 buildings and validated for one building: R squared is 0.9825, CV(RMSE) is 22.10%, and NMBE is 4.06% on a monthly basis. To enable reproducibility and encourage open science, input data, output models, and the pipeline are openly available (https://github.com/tug-cps/shp2sim).
Databáze: Directory of Open Access Journals
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