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Relationships among village spatial form, electricity use, and photovoltaic potential: Evidence from 120 villages in Huaiyuan County, China
Energy and Buildings ( IF 6.6 ) Pub Date : 2024-11-09 , DOI: 10.1016/j.enbuild.2024.115027 Zhixin Li, Yongzhong Chen, Hong Zhang, Siyao Wang
Energy and Buildings ( IF 6.6 ) Pub Date : 2024-11-09 , DOI: 10.1016/j.enbuild.2024.115027 Zhixin Li, Yongzhong Chen, Hong Zhang, Siyao Wang
Village areas cover 94.7% of the land in China and are carriers for energy use and renewables. To support national decarbonization strategy, it is essential to devise proper village decarbonization measures. Understanding the relationships among village spatial form, electricity use and photovoltaic potential is critical to provide empirical references. However, due to the scarcity of spatial form and electricity use data, previous studies have been mostly conducted by simplified simulation models, making it difficult to reveal actual relationships accurately. This study proposed a framework to explore the relationship among spatial form, socioeconomic factors, and comprehensive energy use and photovoltaic potential. Electricity use, socioeconomic status, and 3D models of 120 villages in Huaiyuan, China, were collected by investigation and oblique photography. These villages were clustered into three types by the k-means. Photovoltaic potential was analyzed by numerical models upon 3D spatial forms. Quantitative analysis of spatial form, electricity use intensity, electricity generation intensity, net energy use intensity (NEUI) in each cluster were carried out. The average electricity use intensity is 1.87 GWh/m2 /y, and the highest energy generation intensity reaches 9.67 GWh/m2 /y. Cluster A showed the best performance in NEUI and had the greatest potential for photovoltaic deployment. Average building height, registered resident population, and average building width were the relevant factors to the NEUI in Clusters A, B, and C. The findings provided a framework for other regions to explore factors related to energy use based on actual data, and a reference for low-carbon village policy in China.
更新日期：2024-11-09
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