Abstract
Photovoltaic panels generate electricity directly from sunlight, making them a favored renewable technology. Green roofs are rooftops covered with vegetation, which provide a variety of benefits, namely, reducing stormwater runoff, improving air quality, and biodiversity. Green roofs are capable of improving the efficiency of Photovoltaic panels, as shown by the recent studies. Optimal placement of Photovoltaic panels and green roofs is a challenging problem due to the complications imposed by uncertainties associated with future climate conditions, specifically due to climate change. An agent based model to optimally place Photovoltaic panels and green roofs is developed in this study. We propose a tabu search metaheuristic algorithm to solve the developed model. Then, a real-world case for a mid-sized city in the U.S. is solved as a case study for the model. We further conduct numerical analysis and provide insights.
Original language | English |
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Title of host publication | 2017 Winter Simulation Conference, WSC 2017 |
Editors | Victor Chan |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1133-1144 |
Number of pages | 12 |
ISBN (Electronic) | 9781538634288 |
DOIs | |
State | Published - Jun 28 2017 |
Event | 2017 Winter Simulation Conference, WSC 2017 - Las Vegas, United States Duration: Dec 3 2017 → Dec 6 2017 |
Publication series
Name | Proceedings - Winter Simulation Conference |
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ISSN (Print) | 0891-7736 |
Conference
Conference | 2017 Winter Simulation Conference, WSC 2017 |
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Country/Territory | United States |
City | Las Vegas |
Period | 12/3/17 → 12/6/17 |
Funding
Jon Michael Hathaway received his Ph.D. from North Carolina State University in 2010, where he studied the fate, transport, and removal of indicator bacteria in urban stormwater runoff. After a brief research fellowship at Monash University in Melbourne, Australia, and nearly two and half years at one of the nation’s leading ecological design and consulting firms, he joined the Department of Civil and Environmental Engineering at the University of Tennessee. He is a 2016 recipient of the National Science Foundation CAREER award. His email address is [email protected]. The authors thank Thom Epps for his helps with data extraction. This work was supported in part by the National Science Foundation Grant CMMI-1634975 and the Institute for a Secure and Sustainable Environment (ISSE #R011347017).