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Building and Urban-Scale Energy Modeling: A Comparative Literature Review of Building Energy Modeling (BEM) and Urban Building Energy Modeling (UBEM)

1Department of Architecture, Harran University
2Department of Architecture, Dicle University
✉ Corresponding author: Sevilay Akalp · sevilayakalp@harran.edu.tr
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Abstract

Cities consume over two-thirds of the world’s energy and account for more than 70% of global CO₂ emissions. Given these negative impacts, cities are major contributors to climate change, one of the most pressing challenges of the 21st century. As dynamic organisms composed of built and natural systems, cities require sustainable design strategies that reduce urban energy consumption. Among these, the building sector plays a key role in overall energy use. In response, Building Energy Modeling (BEM) tools have been developed to estimate and optimize energy consumption during the early design phases of individual buildings. While BEM tools provide accurate simulations of a building’s energy performance, they are limited in scope when addressing energy interactions at the neighborhood or urban scale. In dense urban areas, where factors such as shading, wind flow, and microclimates affect energy demand, Urban Building Energy Modeling (UBEM) approaches have gained importance. UBEM enables energy analysis across building clusters, offering a broader perspective on urban energy efficiency. This study presents a comparative evaluation of BEM and UBEM tools, highlighting their application areas, limitations, and potential contributions. The findings provide recommendations for selecting appropriate modeling strategies to improve energy efficiency in both architectural and urban-scale design.

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Cite this article

Akalp, S., & Kakdaş Ateş, D. (2025). Building and Urban-Scale Energy Modeling: A Comparative Literature Review of Building Energy Modeling (BEM) and Urban Building Energy Modeling (UBEM). In 7th International Symposium on Innovation in Architecture, Planning and Design (pp. 331–335). SET Technology. https://doi.org/10.36287/setsci.23.60.001

Article History

Published
17 Jul 2025

License

© 2025 SET Technology. This article is distributed under the terms of the CC BY 4.0.

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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