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Exploring the optimization of rooftop photovoltaic scale and spatial layout under curtailment constraints

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Listed:
  • Jiang, Hou
  • Yao, Ling
  • Lu, Ning
  • Qin, Jun
  • Zhang, Xiaotong
  • Liu, Tang
  • Zhang, Xingxing
  • Zhou, Chenghu

Abstract

Developing rooftop photovoltaics has become an important pathway towards carbon neutrality globally, but how to rationally implement rooftop photovoltaic development has not been investigated. This study presents a technical framework for optimizing the development scale and spatial layout of rooftop solar installations based on high-resolution generation simulation and load-oriented electricity dispatch. It is demonstrated that with the gradual expansion of rooftop development, its penetration in the electric grid grows at a decelerated speed, but the accompanying curtailment increases at an accelerated rate. Both regional sub-grid integration and improved grid flexibility marginally increase the development scale under curtailment constraint, while energy storage and trans-regional power transmission allow for significantly larger scales, thus elevating the penetration of photovoltaic generation to higher levels. The analysis reveals that the development scale should be optimized to account for regional differences in load characteristics. The optimal layout that maximizes photovoltaic penetration while minimizes photovoltaic curtailment varies with the grid flexibility and storage capacity. In China, at least 90% grid flexibility and 8–12 hours of storage capacity are required to realize 2/3 photovoltaic penetration and meet a 5% curtailment constraint. This study provides guidance for rooftop photovoltaic development in China and has implications for variable energy management in the community.

Suggested Citation

  • Jiang, Hou & Yao, Ling & Lu, Ning & Qin, Jun & Zhang, Xiaotong & Liu, Tang & Zhang, Xingxing & Zhou, Chenghu, 2024. "Exploring the optimization of rooftop photovoltaic scale and spatial layout under curtailment constraints," Energy, Elsevier, vol. 293(C).
    • Handle: RePEc:eee:energy:v:293:y:2024:i:c:s0360544224004936
    DOI: 10.1016/j.energy.2024.130721
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    1. Jinyue Yan & Ying Yang & Pietro Elia Campana & Jijiang He, 2019. "City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China," Nature Energy, Nature, vol. 4(8), pages 709-717, August.
    2. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    3. Qin, Jun & Jiang, Hou & Lu, Ning & Yao, Ling & Zhou, Chenghu, 2022. "Enhancing solar PV output forecast by integrating ground and satellite observations with deep learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. Siddharth Joshi & Shivika Mittal & Paul Holloway & Priyadarshi Ramprasad Shukla & Brian Ó Gallachóir & James Glynn, 2021. "High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    5. Qiu, Yueming & Kahn, Matthew E. & Xing, Bo, 2019. "Quantifying the rebound effects of residential solar panel adoption," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 310-341.
    6. Jiang, Hou & Lu, Ning & Qin, Jun & Tang, Wenjun & Yao, Ling, 2019. "A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    7. Zhu, Rui & Wong, Man Sing & You, Linlin & Santi, Paolo & Nichol, Janet & Ho, Hung Chak & Lu, Lin & Ratti, Carlo, 2020. "The effect of urban morphology on the solar capacity of three-dimensional cities," Renewable Energy, Elsevier, vol. 153(C), pages 1111-1126.
    8. Ren, Haoshan & Xu, Chengliang & Ma, Zhenjun & Sun, Yongjun, 2022. "A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities," Applied Energy, Elsevier, vol. 306(PA).
    9. Zhong, Teng & Zhang, Zhixin & Chen, Min & Zhang, Kai & Zhou, Zixuan & Zhu, Rui & Wang, Yijie & Lü, Guonian & Yan, Jinyue, 2021. "A city-scale estimation of rooftop solar photovoltaic potential based on deep learning," Applied Energy, Elsevier, vol. 298(C).
    10. Ross C. Beppler & Daniel C. Matisoff & Matthew E. Oliver, 2023. "Electricity consumption changes following solar adoption: Testing for a solar rebound," Economic Inquiry, Western Economic Association International, vol. 61(1), pages 58-81, January.
    11. Zhang, Xian & Wang, Jia-Xing & Cao, Zhe & Shen, Shuo & Meng, Shuo & Fan, Jing-Li, 2021. "What is driving the remarkable decline of wind and solar power curtailment in China? Evidence from China and four typical provinces," Renewable Energy, Elsevier, vol. 174(C), pages 31-42.
    12. Jun Yin & Annalisa Molini & Amilcare Porporato, 2020. "Impacts of solar intermittency on future photovoltaic reliability," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    13. Li, Yipu & Su, Hao & Zhou, Yun & Chen, Lixia & Shi, Yiwei & Li, Hengjie & Feng, Donghan, 2023. "Two-stage real-time optimal electricity dispatch strategy for urban residential quarter with electric vehicles’ charging load," Energy, Elsevier, vol. 268(C).
    14. Shan, Rui & Reagan, Jeremiah & Castellanos, Sergio & Kurtz, Sarah & Kittner, Noah, 2022. "Evaluating emerging long-duration energy storage technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    15. Ren, Haoshan & Ma, Zhenjun & Chan, Antoni B. & Sun, Yongjun, 2023. "Optimal planning of municipal-scale distributed rooftop photovoltaic systems with maximized solar energy generation under constraints in high-density cities," Energy, Elsevier, vol. 263(PA).
    16. Sarah Feron & Raúl R. Cordero & Alessandro Damiani & Robert B. Jackson, 2021. "Climate change extremes and photovoltaic power output," Nature Sustainability, Nature, vol. 4(3), pages 270-276, March.
    17. Deng, Gary & Newton, Peter, 2017. "Assessing the impact of solar PV on domestic electricity consumption: Exploring the prospect of rebound effects," Energy Policy, Elsevier, vol. 110(C), pages 313-324.
    18. Boccard, Nicolas & Gautier, Axel, 2021. "Solar rebound: The unintended consequences of subsidies," Energy Economics, Elsevier, vol. 100(C).
    19. Lin, Boqiang & Wu, Wei, 2017. "Cost of long distance electricity transmission in China," Energy Policy, Elsevier, vol. 109(C), pages 132-140.
    20. Li, Jidong & Chen, Shijun & Wu, Yuqiang & Wang, Qinhui & Liu, Xing & Qi, Lijian & Lu, Xiuyuan & Gao, Lu, 2021. "How to make better use of intermittent and variable energy? A review of wind and photovoltaic power consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    21. Zhenyu Zhuo & Ershun Du & Ning Zhang & Chris P. Nielsen & Xi Lu & Jinyu Xiao & Jiawei Wu & Chongqing Kang, 2022. "Cost increase in the electricity supply to achieve carbon neutrality in China," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    22. Denholm, Paul & Hand, Maureen, 2011. "Grid flexibility and storage required to achieve very high penetration of variable renewable electricity," Energy Policy, Elsevier, vol. 39(3), pages 1817-1830, March.
    23. Toroghi, Shahaboddin H. & Oliver, Matthew E., 2019. "Framework for estimation of the direct rebound effect for residential photovoltaic systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    24. Bódis, Katalin & Kougias, Ioannis & Jäger-Waldau, Arnulf & Taylor, Nigel & Szabó, Sándor, 2019. "A high-resolution geospatial assessment of the rooftop solar photovoltaic potential in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    25. Ren, Haoshan & Sun, Yongjun & Norman Tse, Chung Fai & Fan, Cheng, 2023. "Optimal packing and planning for large-scale distributed rooftop photovoltaic systems under complex shading effects and rooftop availabilities," Energy, Elsevier, vol. 274(C).
    26. Ren, Haoshan & Ma, Zhenjun & Ming Lun Fong, Alan & Sun, Yongjun, 2022. "Optimal deployment of distributed rooftop photovoltaic systems and batteries for achieving net-zero energy of electric bus transportation in high-density cities," Applied Energy, Elsevier, vol. 319(C).
    27. Wang, Sen & Li, Fengting & Zhang, Gaohang & Yin, Chunya, 2023. "Analysis of energy storage demand for peak shaving and frequency regulation of power systems with high penetration of renewable energy," Energy, Elsevier, vol. 267(C).
    28. Solomon, A.A. & Bogdanov, Dmitrii & Breyer, Christian, 2019. "Curtailment-storage-penetration nexus in the energy transition," Applied Energy, Elsevier, vol. 235(C), pages 1351-1368.
    29. Jiang, Hou & Zhang, Xiaotong & Yao, Ling & Lu, Ning & Qin, Jun & Liu, Tang & Zhou, Chenghu, 2023. "High-resolution analysis of rooftop photovoltaic potential based on hourly generation simulations and load profiles," Applied Energy, Elsevier, vol. 348(C).
    30. Zhang, Yusheng & Zhao, Xuehua & Wang, Xin & Li, Aiyun & Wu, Xinhao, 2023. "Multi-objective optimization design of a grid-connected hybrid hydro-photovoltaic system considering power transmission capacity," Energy, Elsevier, vol. 284(C).
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