Impact of spatial layout optimization on photovoltaic power consumption: insights from China

Developing rooftop photovoltaics (PV) has become an important global initiative for achieving carbon neutrality. However, the consumption of variable PV generation remains a major challenge for the electric grid. This study presents a novel multi-objective optimization framework to investigate how s...

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Published in:International Journal of Digital Earth
Main Authors: Hou Jiang, Ling Yao, Xingxing Zhang, Tang Liu, Min Chen, Chenghu Zhou
Format: Article
Language:English
Published: Taylor & Francis Group 2025-08-01
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2024.2447339
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author Hou Jiang
Ling Yao
Xingxing Zhang
Tang Liu
Min Chen
Chenghu Zhou
author_facet Hou Jiang
Ling Yao
Xingxing Zhang
Tang Liu
Min Chen
Chenghu Zhou
author_sort Hou Jiang
collection DOAJ
container_title International Journal of Digital Earth
description Developing rooftop photovoltaics (PV) has become an important global initiative for achieving carbon neutrality. However, the consumption of variable PV generation remains a major challenge for the electric grid. This study presents a novel multi-objective optimization framework to investigate how spatial layout affects rooftop PV generation consumption in large-scale grid-connected scenarios. Unlike previous studies, our framework integrates continuous spatiotemporal estimates of PV generation and simulation of trans-regional power dispatch simulations, explicitly accounting for the regional differences in power generation, transmission, storage, consumption, and curtailment. An analysis of China's pilot scheme reveals that a suboptimal layout exacerbates the challenges associated with PV consumption, whereas an optimal spatial layout can contribute to a 7% reduction in PV curtailment while maintaining a comparable level of PV penetration. Our findings also underscore the importance of ensuring background climate diversity and regional balance in site selection for future PV expansion. This study provides innovative tools and actionable insights for optimizing the spatial layout of variable energy sources, contributing to policy development and renewable energy integration.
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spelling doaj-art-e263ed5ae37b441ea8406fc45110bcdc2025-08-25T11:24:32ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-08-0118110.1080/17538947.2024.2447339Impact of spatial layout optimization on photovoltaic power consumption: insights from ChinaHou Jiang0Ling Yao1Xingxing Zhang2Tang Liu3Min Chen4Chenghu Zhou5State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaJiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaDeveloping rooftop photovoltaics (PV) has become an important global initiative for achieving carbon neutrality. However, the consumption of variable PV generation remains a major challenge for the electric grid. This study presents a novel multi-objective optimization framework to investigate how spatial layout affects rooftop PV generation consumption in large-scale grid-connected scenarios. Unlike previous studies, our framework integrates continuous spatiotemporal estimates of PV generation and simulation of trans-regional power dispatch simulations, explicitly accounting for the regional differences in power generation, transmission, storage, consumption, and curtailment. An analysis of China's pilot scheme reveals that a suboptimal layout exacerbates the challenges associated with PV consumption, whereas an optimal spatial layout can contribute to a 7% reduction in PV curtailment while maintaining a comparable level of PV penetration. Our findings also underscore the importance of ensuring background climate diversity and regional balance in site selection for future PV expansion. This study provides innovative tools and actionable insights for optimizing the spatial layout of variable energy sources, contributing to policy development and renewable energy integration.https://www.tandfonline.com/doi/10.1080/17538947.2024.2447339Solar energyrooftop photovoltaicsspatial optimizationtrans-regional transmission
spellingShingle Hou Jiang
Ling Yao
Xingxing Zhang
Tang Liu
Min Chen
Chenghu Zhou
Impact of spatial layout optimization on photovoltaic power consumption: insights from China
Solar energy
rooftop photovoltaics
spatial optimization
trans-regional transmission
title Impact of spatial layout optimization on photovoltaic power consumption: insights from China
title_full Impact of spatial layout optimization on photovoltaic power consumption: insights from China
title_fullStr Impact of spatial layout optimization on photovoltaic power consumption: insights from China
title_full_unstemmed Impact of spatial layout optimization on photovoltaic power consumption: insights from China
title_short Impact of spatial layout optimization on photovoltaic power consumption: insights from China
title_sort impact of spatial layout optimization on photovoltaic power consumption insights from china
topic Solar energy
rooftop photovoltaics
spatial optimization
trans-regional transmission
url https://www.tandfonline.com/doi/10.1080/17538947.2024.2447339
work_keys_str_mv AT houjiang impactofspatiallayoutoptimizationonphotovoltaicpowerconsumptioninsightsfromchina
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AT xingxingzhang impactofspatiallayoutoptimizationonphotovoltaicpowerconsumptioninsightsfromchina
AT tangliu impactofspatiallayoutoptimizationonphotovoltaicpowerconsumptioninsightsfromchina
AT minchen impactofspatiallayoutoptimizationonphotovoltaicpowerconsumptioninsightsfromchina
AT chenghuzhou impactofspatiallayoutoptimizationonphotovoltaicpowerconsumptioninsightsfromchina