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

Yıl 2023, Cilt: 8 Sayı: 1, 87 - 116, 24.03.2023

Melik Ziya Yakut Sinem Esen

https://doi.org/10.58559/ijes.1228599

Öz

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.

Anahtar Kelimeler

Urban building energy modeling UBEM UBEM approches Bottom-up approches Urban energy modeling

Destekleyen Kurum

YÖK

Proje Numarası

YÖK100/2000

Teşekkür

This study is based on studies supported within the scope of Turkey The Council of Higher Education YÖK 100/2000 PhD project. We offer our gratitude.

Kaynakça

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Yıl 2023, Cilt: 8 Sayı: 1, 87 - 116, 24.03.2023

Melik Ziya Yakut Sinem Esen

https://doi.org/10.58559/ijes.1228599

Öz

Proje Numarası

YÖK100/2000

Kaynakça

  • [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.
  • [5] 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.
  • [6] 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.
  • [7] 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.
  • [8] 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.
  • [9] 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.
  • [10] 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.
  • [11] 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.
  • [12] Abbasabadi N, Ashayeri M. Urban energy use modeling methods and tools: A review and an outlook. Building and Environment 2019; 161: 1-16.
  • [13] 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.
  • [14] 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.
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  • [16] Abolhassani SS, Amayri M, Bouguila N, Eicker U. A new workflow for detailed urban scale building energy modeling using spatial joining of attributes for archetype selection. Journal of Building Engineering 2022; 46: 1-24.
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  • [19] Li W, Zhou Y, Cetin K, Eom J, Wang Y, Chen G, Zhang X. Modeling urban building energy use: A review of modeling approaches and procedures. Energy 2017; 141: 2445-2457.
  • [20] Ma R, Ren B, Zhao D, Chen J, Lu Y. Modeling urban energy dynamics under clustered urban heat island effect with local-weather extended distributed adjacency blocks. Sustainable Cities and Society 2020; 56: 1-13.
  • [21] Ferrando M, Causone F. An overview of urban building energy modelling (UBEM) tools. Building Simulation 2019; 16: 3452-3459.
  • [22] Hong T, Chen Y, Luo X, Luo N, Lee SH. Ten questions on urban building energy modeling”, Building and Environment 2020; 168: 1-47.
  • [23] Yücel MA, Selçuk M. Üç Boyutlu Kent Modellerinde Ayrıntı Düzeyi LoD Kavramı. Jeodezi ve Jeoinformasyon Dergisi 2009; 101: 3-9.
  • [24] Sokol J, Davila CC, Reinhart CF. Validation of a Bayesian-based method for defining residential archetypes in urban building energy models. Energy and Buildings 2017; 134: 11-24.
  • [25] Nutkiewicz A, Jain RK. Exploring the integration of simulation and deep learning models for urban building energy modelling and retrofit analysis. Proceedings of the 16th IBPSA Conference, Rome, Italy, 2019.
  • [26] Nageler P, Zahrer G, Heimrath R, Mach T, Mauthner F, Leusbrock I, Schranzhofera H, Hochenauera C. Novel validated method for GIS based automated dynamic urban building energy simulations. Energy 2017; 139: 142-154.
  • [27] Mohammadiziazi R, Copeland S, Bilec MM. Urban building energy model: Database development, validation, and application for commercial building stock. Energy and Buildings 2021; 248: 1-15.
  • [28] Davila CC, Reinhart CF, Bemis JL. Modeling Boston: A workflow for the efficient generation and maintenance of urban building energy models from existing geospatial datasets. Energy 2016; 117: 237-250.
  • [29] Zarrella A, Prataviera E, Romano P, Carnieletto L, Vivian J. Analysis and application of a lumped-capacitance model for urban building energy modelling. Sustainable Cities and Society 2020; 63: 1-17.
  • [30] Ali U, Shamsi MH, Hoare C, O'Donnell J. GIS-based residential building energy modeling at district scale. BSO 2018: 4th IBPSA-England Conference on Building Simulation and Optimization, Cambridge, UK, 2018.
  • [31] Vermeulen T, Kämpf JH, Beckers B. Urban form optimization for the energy performance of buildings using Citysim. CISBAT, Lausanne, Switzerland, 2013.
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  • [33] Lu Y, Scott A, Kim J, Curi CB, McCarty J, Pardy A. Integration of an energy–economy model with an urban energy model. Buildings and Cities 2021; 2(1): 115-133.
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  • [35] Madrazo L, Sicilia A, Gamboa G. SEMANCO: Semantic tools for carbon reduction in urban planning. Proceedings of the 9th European Conference on Product and Process Modelling, Barcelona, Spain, 2012.
  • [36] Li W. Quantifying the Building Energy Dynamics of Manhattan, New York City, Using an Urban Building Energy Model and Localized Weather Data. Energies 2020; 13(12): 1-20.
  • [37] Reinhart C, Dogan T, Jakubiec JA, Rakha T, Sang A. Umi-an urban simulation environment for building energy use, daylighting and walkability. 13th Conference of International Building Performance Simulation Association, Chambery, France, 2013.
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Toplam 97 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Çevresel Olarak Sürdürülebilir Mühendislik
Bölüm Review Article
Yazarlar

Melik Ziya Yakut 0000-0003-4120-6016

Sinem Esen 0000-0001-9725-977X

Proje Numarası YÖK100/2000
Yayımlanma Tarihi 24 Mart 2023
Gönderilme Tarihi 3 Ocak 2023
Kabul Tarihi 9 Mart 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 8 Sayı: 1

Kaynak Göster

APA Yakut, M. Z., & Esen, S. (2023). A comprehensive survey of the urban building energy modeling (UBEM) process and approaches. International Journal of Energy Studies, 8(1), 87-116. https://doi.org/10.58559/ijes.1228599
AMA Yakut MZ, Esen S. A comprehensive survey of the urban building energy modeling (UBEM) process and approaches. Int J Energy Studies. Mart 2023;8(1):87-116. doi:10.58559/ijes.1228599
Chicago Yakut, Melik Ziya, ve Sinem Esen. “A Comprehensive Survey of the Urban Building Energy Modeling (UBEM) Process and Approaches”. International Journal of Energy Studies 8, sy. 1 (Mart 2023): 87-116. https://doi.org/10.58559/ijes.1228599.
EndNote Yakut MZ, Esen S (01 Mart 2023) A comprehensive survey of the urban building energy modeling (UBEM) process and approaches. International Journal of Energy Studies 8 1 87–116.
IEEE M. Z. Yakut ve S. Esen, “A comprehensive survey of the urban building energy modeling (UBEM) process and approaches”, Int J Energy Studies, c. 8, sy. 1, ss. 87–116, 2023, doi: 10.58559/ijes.1228599.
ISNAD Yakut, Melik Ziya - Esen, Sinem. “A Comprehensive Survey of the Urban Building Energy Modeling (UBEM) Process and Approaches”. International Journal of Energy Studies 8/1 (Mart 2023), 87-116. https://doi.org/10.58559/ijes.1228599.
JAMA Yakut MZ, Esen S. A comprehensive survey of the urban building energy modeling (UBEM) process and approaches. Int J Energy Studies. 2023;8:87–116.
MLA Yakut, Melik Ziya ve Sinem Esen. “A Comprehensive Survey of the Urban Building Energy Modeling (UBEM) Process and Approaches”. International Journal of Energy Studies, c. 8, sy. 1, 2023, ss. 87-116, doi:10.58559/ijes.1228599.
Vancouver Yakut MZ, Esen S. A comprehensive survey of the urban building energy modeling (UBEM) process and approaches. Int J Energy Studies. 2023;8(1):87-116.
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