TY - JOUR
T1 - Multi-function partitioned design method for photovoltaic curtain wall integrated with vacuum glazing towards zero-energy buildings
AU - Tan, Yutong
AU - Peng, Jinqing
AU - Luo, Zhengyi
AU - Luo, Yimo
AU - Ma, Tao
AU - Ji, Jie
AU - Yang, Hongxing
AU - Wang, Fazhi
AU - Zhu, Minfeng
N1 - Funding Information:
This study has been supported by the National Key R&D Program of China ( 2022YFB4201003 ), the National Natural Science Foundation of China (No. 51978252 ), the Hunan Province Key R&D Program ( 2021SK2045 ), the Hunan Provincial Natural Science Foundation of China ( 2023JJ40154 ), the Natural Science Foundation of Changsha ( kq2208032 ), the Training Program for Excellent Young Innovators of Changsha ( kq2009041 ) and the research and development topics of Science and Technology of China Construction Company ( CSCEC-2023-Z-3 ).
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/12
Y1 - 2023/12
N2 - The vacuum integrated photovoltaic (VPV) curtain wall has garnered widespread attention from scholars owing to its remarkable thermal insulation performance and power generation ability. However, there is a lack of in-depth, performance-driven optimal design that considers the mutually constraining functions of the VPV curtain wall. To address this issue, this study proposed a multi-function partitioned design method for VPV curtain walls aimed at reconciling the competing demand of different functions. Firstly, the VPV curtain wall was divided into daylight, view, and spandrel sections, and the corresponding models of each section with different PV coverages were developed in WINDOW software. Then, the opto-thermal characteristics of window models were exported to EnergyPlus and Radiance software for daylight and energy co-simulation. Finally, the optimal design of the partitioned VPV curtain wall was determined by employing the multiple criteria decision method, TOPSIS. The results indicated that the partitioned VPV curtain wall with 50%, 40%, and 90% PV coverages of daylight, view, and spandrel sections results in 82.8% useful daylight index, 62.7% hourly net-zero energy ratio, and 150.66 kWh surplus electricity. The study specified the contribution of each section to different performances and provided a new design method for the application of VPV curtain walls towards energy-efficient buildings.
AB - The vacuum integrated photovoltaic (VPV) curtain wall has garnered widespread attention from scholars owing to its remarkable thermal insulation performance and power generation ability. However, there is a lack of in-depth, performance-driven optimal design that considers the mutually constraining functions of the VPV curtain wall. To address this issue, this study proposed a multi-function partitioned design method for VPV curtain walls aimed at reconciling the competing demand of different functions. Firstly, the VPV curtain wall was divided into daylight, view, and spandrel sections, and the corresponding models of each section with different PV coverages were developed in WINDOW software. Then, the opto-thermal characteristics of window models were exported to EnergyPlus and Radiance software for daylight and energy co-simulation. Finally, the optimal design of the partitioned VPV curtain wall was determined by employing the multiple criteria decision method, TOPSIS. The results indicated that the partitioned VPV curtain wall with 50%, 40%, and 90% PV coverages of daylight, view, and spandrel sections results in 82.8% useful daylight index, 62.7% hourly net-zero energy ratio, and 150.66 kWh surplus electricity. The study specified the contribution of each section to different performances and provided a new design method for the application of VPV curtain walls towards energy-efficient buildings.
KW - Multi-function partitioned optimal design
KW - Net-zero energy potential
KW - TOPSIS decision method
KW - Vacuum integrated photovoltaic curtain wall
UR - http://www.scopus.com/inward/record.url?scp=85171457896&partnerID=8YFLogxK
U2 - 10.1016/j.renene.2023.119257
DO - 10.1016/j.renene.2023.119257
M3 - Journal article
AN - SCOPUS:85171457896
SN - 0960-1481
VL - 218
JO - Renewable Energy
JF - Renewable Energy
M1 - 119257
ER -