Urban building energy modeling (UBEM) tools: A state-of-the-art review of bottom-up physics-based approaches

Ferrando, Martina; Causone, Francesco; Hong, Tianzhen; Chen, Yixing

doi:10.1016/j.scs.2020.102408

Urban building energy modeling (UBEM) tools: A state-of-the-art review of bottom-up physics-based approaches

Journal Article · Fri Jul 17 00:00:00 EDT 2020 · Sustainable Cities and Society

DOI:https://doi.org/10.1016/j.scs.2020.102408· OSTI ID:1784290

^[1]; Causone, Francesco ^[1]; Hong, Tianzhen ^[2]; ^[3]

Politecnico di Milano (Italy)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Hunan University, Changsha (China); Ministry of Education (China)

Regulations corroborate the importance of retrofitting existing building stocks or constructing new energy-efficient districts. There is, thus, a need for modeling tools to evaluate energy scenarios to better manage and design cities, and numerous methodologies and tools have been developed. Among them, Urban Building Energy Modelling (UBEM) tools allow the energy simulation of buildings at large scales. Choosing an appropriate UBEM tool, balancing the level of complexity, accuracy, usability, and computing needs, remains a challenge for users. The review focuses on the main bottom-up physics-based UBEM tools, comparing them from a user-oriented perspective. Five categories are used: (i) the required inputs, (ii) the reported outputs, (iii) the exploited workflow, (iv) the applicability of each tool, and (v) the potential users. Moreover, a critical discussion is proposed, focusing on interests and trends in research and development. The results highlighted major differences between UBEM tools that must be considered to choose the proper one for an application. Finally, barriers of adoption of UBEM tools include the needs of a standardized ontology, a common three-dimensional city model, a standard procedure to collect data, and a standard set of test cases. This feeds into future development of UBEM tools to support cities’ sustainability goals.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: European Union’s Horizon 2020; National Natural Science Foundation of China (NSFC); USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1784290

Alternate ID(s):: OSTI ID: 1780220

Journal Information:: Sustainable Cities and Society, Journal Name: Sustainable Cities and Society Vol. 62; ISSN 2210-6707

Publisher:: ElseiverCopyright Statement

Country of Publication:: United States

Language:: English

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