UMC-based models: An integrating UMC performance analysis and numerical methods

Asmaa M. Hassan

Renewable and Sustainable Energy Reviews, 2023, vol. 181, issue C

Abstract: Urbanization and climate change represent major public health challenges, impacting several approaches, including urban microclimate (UMC) performance. UMC studies adopt several methods to analyze and mitigate such impacts like numerical methods. Consequently, the current study focuses on UMC performance and associated numerical methods, which can be called UMC-based models. However, the question keeps considering which tool can be used to examine UMC performance, whereas it requires experience. Therefore, this study aims to highlight the guidance of UMC-based models and their possibilities, insights, and opportunities. A bibliometric analysis is conducted based on database development from 1991 to 2022 and both Biblioshiny and VOSviewer tools. The evolution of the yearly publications and prominent bibliometric analyses are explored. The results reveal the continuous evolution of UMC-based models and hotspots related to “urban morphology”, and “vegetation” keywords. However, the categories of “air quality”, “urban ventilation”, and “climate change” present significant topics but need more investigation. Further efforts are needed to develop “UMC modeling” and its associated opportunities related to application fields, in the context of “optimization”, “data-driven”, and “coupled models”, which present trending up and a significant paradigm shift toward UMC performance. Moreover, the proposed matrix provides UMC-based models, and their classifications to outline their possibilities, insights, and opportunities. Such comprehensive results can provide multi-scale opportunities to develop UMC-based models and their application fields, which serves as research guidance to not only select but also develop appropriate and innovative tools or coupled tools associated with UMC performance in response to associated UMC challenges.

Keywords: Urban microclimate (UMC); UMC performance; Numerical methods; Simulation-based models; Data-driven models; Coupled models (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.rser.2023.113307

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