An agent based model for joint placement of PV panels and green roofs

Conference · Fri Dec 01 00:00:00 EST 2017

DOI:https://doi.org/10.1109/WSC.2017.8247861· OSTI ID:1415902

Li, Xueping ^[1]; Ramshani, Mohammad ^[2]; Khojandi, Anahita ^[2]; Omitaomu, Olufemi A.  ^[3]; Hathaway, Jon Michael ^[2]

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1. University of Tennessee, Knoxville (UTK)
2. The University of Tennessee, Knoxville
3. ORNL

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1415902
• Resource Relation: Conference: 2017 Winter Simulation Conference (WSC) - Las Vegas, Nevada, United States of America - 12/3/2017 10:00:00 AM-12/6/2017 10:00:00 AM
• Country of Publication: United States
• Language: English