Development of a cross-latitude applicable predictive model for solar radiation acquisition potential of urban residential blocks

Author:

Xiao QiuboORCID,Liu YuORCID,Cho Seigen,He Yong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference60 articles.

1. Daniele Poponi, Tyler Bryant, Keith Burnard, Pierpaolo Cazzola, Energy Technology Perspectives 2016: Towards Sustainable Urban Energy Systems, Paris, France: International Energy Agency (2016) https://www.scholars.northwestern.edu/en/publications/energy-technology-perspectives-2016-towards-sustainable-urban-ene.

2. International Energy Agency, World Energy Outlook 2023, IEA (2023) 17–71. https://www.iea.org/reports/world-energy-outlook-2023.

3. Predictive models for assessing the passive solar and daylight potential of neighborhood designs: a comparative proof-of-concept study;Nault;Build. Environ.,2017

4. Urban morphology indicators and solar radiation acquisition: 2011–2022 review;Bo Liu;Renew. Sustain. Energy Rev.,2024

5. Typical values for active solar energy in urban planning;Kanters;Energy Proc.,2014

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