Journals / International Journal of Energy Studies / 2023 / Cilt: 8 - Sayı: 1

A comprehensive survey of the urban building energy modeling (UBEM) process and approaches

Pages
87–116
Publication Date
2023-03-24
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

At the same time, the study is in the nature of guiding and forming the general knowledge level with the basic concepts that should be known to those who will work on UBEM.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Fossil fuels increase the emission values of greenhouse gases such as CO2 in the atmosphere and cause global warming and climate change.
📊
Key Findings & Data:At the same time, fossil fuel reserves are facing depletion in the near future, and energy supply also has an important dimension such as national security and foreign dependency.
💡
Conclusion & Impact:At the same time, the study is in the nature of guiding and forming the general knowledge level with the basic concepts that should be known to those who will work on UBEM.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Urban building energy modeling · UBEM · UBEM approches

Abstract

Fossil fuels increase the emission values of greenhouse gases such as CO2 in the atmosphere and cause global warming and climate change. At the same time, fossil fuel reserves are facing depletion in the near future, and energy supply also has an important dimension such as national security and foreign dependency. All these show that turning to renewable energy sources and developing solutions and policies for energy saving has become a necessity both globally and locally. For such reasons, modeling of urban structures, which have a great contribution to energy consumption, and simulating the energy demand on an urban scale are of great importance for the effective use of energy. Research on this has shown that UBEM (Urban Building Energy Modeling) is an effective solution to these problems. However, UBEM contains different technical problems for implementation. Due to its versatility, various concepts related to this field lead to complexity. With this increasing complexity, there is a growing need to compile concepts from a holistic perspective. In this study, it is aimed to create a solution to these challenges. For this purpose, a comprehensive and up-to-date research of various modeling approaches and model creation process used in urban building energy modeling has been conducted. Studies on these approaches are summarized and a systematic review of the literature is made. At the same time, the study is in the nature of guiding and forming the general knowledge level with the basic concepts that should be known to those who will work on UBEM.

🔖

Cite This Article

YAKUT, M. Z., ESEN, S. (2023). A comprehensive survey of the urban building energy modeling (UBEM) process and approaches. International Journal of Energy Studies, Cilt: 8 - Sayı: 1, 87–116. https://ajindex.com/articles/886475

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. http://www.demographia.com/db-worldua.pdf. Access date: 07.08.2022. [2] https://unhabitat.org/sites/default/files/2022/06/wcr_2022.pdf. Access date: 07.08.2022. [3] https://www.gensed.org/. Access date: 07.08.2022. [4] https://www2.deloitte.com. Access date: 07.08.2022
  2. Ang YQ, Berzolla ZM, Reinhart CF. From concept to application: A review of use cases in urban building energy modeling. Applied Energy 2020; 279: 1-15
  3. Ali U, Shamsi MH, Hoare C, Mangina E, O’Donnell J. Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis. Energy and buildings 2021; 246: 1-24
  4. Maccarini A, Mans M, Sørensen CG, Afshari A. Towards an automated generator of urban building energy loads from 3D building models. Proceedings of the 14th International Modelica Conference, Linköping, Sweden, 2021
  5. Ang YQ, Berzolla ZM, Letellier-Duchesne S, Jusiega V, Reinhart C. UBEM.io: A web-based framework to rapidly generate urban building energy models for carbon reduction technology pathways. Sustainable Cities and Society 2022; 77: 1-22
  6. Dahlström L, Broström T, Widén J. Advancing Urban Building Energy Modelling through new model components and applications: A review. Energy and Buildings 2022; 266: 1-17
  7. Hu Y, Cheng X, Wang S, Chen J, Zhao T, Dai E. Times series forecasting for urban building energy consumption based on graph convolutional network. Applied Energy 2022; 307: 1-12
  8. Yamagata Y, Yang PP, Chang S, Tobey MB, Binder RB, Fourie PJ, Jittrapirom P, Kobasi T, Yoshida T, Aleksejeva Y. Urban systems and the role of big data. Urban Systems Design 2020; 23-58
  9. Abbasabadi N, Ashayeri M. Urban energy use modeling methods and tools: A review and an outlook. Building and Environment 2019; 161: 1-16
  10. Mathur A, Fennell P, Rawal R, Korolija I. Assessing a fit-for-purpose urban building energy modelling framework with reference to Ahmedabad. Science and Technology for the Built Environment 2021; 27(8): 1075-1103
  11. Schiefelbein J, Rudnick J, Scholl A, Remmen P, Fuchs M, Müller D. Automated urban energy system modeling and thermal building simulation based on OpenStreetMap data sets. Building and environment 2019; 149: 630-639
  12. Wang C, Ferrando M, Causone F, Jin X, Zhou X, Shi X. Data acquisition for urban building energy modeling: A review”, Building and Environment 2022; 217: 1-20
  13. Abolhassani SS, Amayri M, Bouguila N, Eicker U. A new workflow for detailed urban scale buil