TY - JOUR
T1 - Planning the installation of building-integrated photovoltaic shading devices
T2 - A GIS-based spatiotemporal analysis and optimization approach
AU - Ye, Yuxuan
AU - Zhu, Rui
AU - Yan, Jinyue
AU - Lu, Lin
AU - Wong, Man Sing
AU - Luo, Wei
AU - Chen, Min
AU - Zhang, Fan
AU - You, Linlin
AU - Wang, Yafei
AU - Qin, Zheng
N1 - Funding Information:
Man Sing Wong would like to thank the funding support by the Research Institute for Land and Space (Grant No. 1-CD81 ), The Hong Kong Polytechnic University; and General Research Fund (Grant No. 15603920 and 15602619 ), and Collaborative Research Fund (Grant No. C5062-21 GF , C4023-20 GF ), from the Hong Kong Research Grants Council, Hong Kong, China .
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/11
Y1 - 2023/11
N2 - Building-integrated photovoltaics (BIPV) can produce power while occupying little urban space. Photovoltaic-integrated shading devices (PVSDs) are a key component of BIPV that can generate electricity while blocking excess daylight. However, previous studies have lacked a systematic design of PVSDs that accurately estimates the trade-offs between indoor sunshade duration and electricity generation. This study proposes a multi-objective optimization framework for maximizing PV potential, minimizing PV area, and enabling proper sunshade duration in complex urban surfaces. A GIS-based spatiotemporal analysis and optimization approach was applied to three PVSD planning scenarios: (i) parallel to the horizontal land surface, (ii) inclined at an angle equal to the local latitude, and (iii) rotated in real-time to keep the PV surface perpendicular to the solar radiation. Different PV widths are determined under different scenarios considering power generation and solar shading duration. In the real-time rotating scenario, the optimized 0.7-m-wide PVSDs can generate 0.861 GWh of electricity annually, with a competitive average power generation efficiency of 0.811 kWh/m2/day and a solar shading duration of 6.61 h/day. Flexible installation scenarios are suggested to account for shading from other upper PVSDs and surrounding buildings. This study can facilitate solar farming in global cities and contribute to renewable energy penetration.
AB - Building-integrated photovoltaics (BIPV) can produce power while occupying little urban space. Photovoltaic-integrated shading devices (PVSDs) are a key component of BIPV that can generate electricity while blocking excess daylight. However, previous studies have lacked a systematic design of PVSDs that accurately estimates the trade-offs between indoor sunshade duration and electricity generation. This study proposes a multi-objective optimization framework for maximizing PV potential, minimizing PV area, and enabling proper sunshade duration in complex urban surfaces. A GIS-based spatiotemporal analysis and optimization approach was applied to three PVSD planning scenarios: (i) parallel to the horizontal land surface, (ii) inclined at an angle equal to the local latitude, and (iii) rotated in real-time to keep the PV surface perpendicular to the solar radiation. Different PV widths are determined under different scenarios considering power generation and solar shading duration. In the real-time rotating scenario, the optimized 0.7-m-wide PVSDs can generate 0.861 GWh of electricity annually, with a competitive average power generation efficiency of 0.811 kWh/m2/day and a solar shading duration of 6.61 h/day. Flexible installation scenarios are suggested to account for shading from other upper PVSDs and surrounding buildings. This study can facilitate solar farming in global cities and contribute to renewable energy penetration.
KW - Building-integrated photovoltaics (BIPV)
KW - Geographical information system
KW - Multi-objective optimization
KW - Photovoltaic-integrated shading device (PVSD)
KW - Solar PV planning
UR - http://www.scopus.com/inward/record.url?scp=85166181459&partnerID=8YFLogxK
U2 - 10.1016/j.renene.2023.119084
DO - 10.1016/j.renene.2023.119084
M3 - Journal article
AN - SCOPUS:85166181459
SN - 0960-1481
VL - 216
JO - Renewable Energy
JF - Renewable Energy
M1 - 119084
ER -