Engineering & Technologyarticle2026-09-22

Optimization of photovoltaic shading angles for net energy and indoor daylighting: a case study in Beijing

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Abstract

Photovoltaic shading devices (PVSDs) have significant potential to reduce building energy consumption and improve indoor daylighting. However, most previous studies have investigated PVSD performance at the single-building scale, while room-specific design and the effects of surrounding-building shading remain underexplored. To address these gaps, this study developed a room-scale multi-objective optimization framework for a typical residential unit in Beijing, explicitly considering surrounding-building shading while optimizing energy and daylighting performance. The results show that optimal PVSD control is jointly influenced by room function, façade orientation, and surrounding-building shading, leading to clear room-specific and seasonal differences in optimal tilt angles. Further analysis shows that surrounding-building shading has a substantially greater impact on indoor visual performance than on building energy performance. Compared with the isolated-building scenario, surrounding-building shading increased sGA by up to 22.50% and decreased UDI by up to 20.12%, while increasing NEC by up to 5.17%, highlighting the importance of accounting for surrounding-building shading in PVSD optimization. With surrounding-building shading included, seasonal dynamic control further improved energy performance compared with annual dynamic control, reducing annual NEC by 4.44%. These case-specific findings provide a useful reference for room-scale PVSD design and dynamic control in similar high-density residential contexts. However, the study was based on a single typical residential unit in Beijing, and the adopted envelope U-values represent conventional residential thermal performance. Therefore, the applicability of the findings should be further examined under different façade orientations, floor levels, surrounding-building conditions, and envelope thermal-performance levels before broader generalization.

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View paper (DOI)Open access versionOpenAlexSolar EnergyPublished 2026-09-22

Authors: Yawen Luo, Xiaoyong Lv, Xin Gao, Jia Hao

Institutions: Beijing University of Civil Engineering and Architecture