Model simulation of thermal environment and energy effects of rooftop distributed photovoltaics

Hai Zhou; Weidong Chen; Siyu Hu; Fan Yang

doi:10.1016/j.gloei.2024.11.007

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Model simulation of thermal environment and energy effects of rooftop distributed photovoltaics

Electricity Market Technologies for Renewable Energy Development | 更新时间：2026-09-20

- Model simulation of thermal environment and energy effects of rooftop distributed photovoltaics
- Global Energy Interconnection Vol. 7, Issue 6, Pages: 723-732(2024)
- 作者机构：
  
  1. School of Automation, Southeast University,Nanjing,PR China,210096
  2. Renewable Energy Research Center, China Electric Power Research Institute Co. Ltd.,Nanjing,PR China,210003
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2024.11.007
  CLC：
- Online First：16 December 2024，
  
  Published：16 December 2024
- 稿件说明：
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Hai Zhou, Weidong Chen, Siyu Hu, et al. Model simulation of thermal environment and energy effects of rooftop distributed photovoltaics[J]. Global Energy Interconnection, 2024, 7(6): 723-732.
DOI：

Hai Zhou, Weidong Chen, Siyu Hu, et al. Model simulation of thermal environment and energy effects of rooftop distributed photovoltaics[J]. Global Energy Interconnection, 2024, 7(6): 723-732. DOI： 10.1016/j.gloei.2024.11.007.

摘要

Abstract

Rooftop distributed photovoltaic (DPV) systems show promise for alleviating the energy crisis resulting from summer urban cooling demands and mitigating secondary hazards associated with urban heat islands. In this study

a parametric scheme for rooftop DPVs was incorporated into the Weather

Research and Forecasting model. The period from August 12–16

2022

during a heatwave in Jiangsu Province

China

was selected as the weather background to simulate the impact of rooftop DPVs with varying power generation efficiencies on urban thermal environments and energy supply. The results indicate that (1) rooftop DPVs reduce urban air temperatures at 2 m by weakening the solar radiation reaching the surface. As solar panel efficiency improves

the cooling effects become more significant

particularly at night. Day and night air temperatures at 2 m can decrease by approximately 0.1 °C–0.4 °C and 0.2°C–0.7 °C

respectively; (2) Installing rooftop DPVs can lower boundary layer temperatures

with pronounced cooling effects during the day (up to 0.7 °C at 08:00) and night (up to 0.6 °C at 20:00); (3) If all buildings are equipped with rooftop DPVs

the electricity generated could meet Jiangsu Province’s total electricity demand during heatwaves. With 30% generation efficiency and rooftop DPVs installed at 40% of buildings

the electricity produced can meet the entire electricity demand.

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