光伏系统
气候变化
屋顶
环境科学
绿色屋顶
稳健性(进化)
电
可再生能源
高效能源利用
太阳能
反射面
气象学
环境工程
建筑工程
土木工程
工程类
地理
数学
生态学
生物化学
化学
几何学
曲面(拓扑)
基因
生物
电气工程
作者
Mohammad Ramshani,Anahita Khojandi,Xueping Li,Olufemi A. Omitaomu
出处
期刊:Omega
[Elsevier]
日期:2020-01-01
卷期号:90: 101986-101986
被引量:18
标识
DOI:10.1016/j.omega.2018.10.016
摘要
Photovoltaic (PV) panels directly convert sunlight into electricity; but, sunlight also heats the panels, negatively impacting their efficiency. Green roofs are vegetative layers grown on rooftops, mainly to provide added insulation on the roof to save energy. Green roofs also cool near-surface air temperature. Hence, the joint installation of PV panels and green roofs may potentially lead to higher efficiency of PV panels in certain climates. We develop a two-stage stochastic programming model to optimally place PV panels and green roofs under climate change uncertainty to maximize the overall profit from energy generated and saved. We calibrate the model using the literature, industry reports, and the data from different, at times conflicting, climate projections. We then conduct a case study for a mid-size city in the U.S., perform extensive sensitivity and robustness analyses and provide insights.
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