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

Xueping Li; Mohammad Ramshani; Anahita Khojandi; Olufemi Omitaomu; Jon Michael Hathaway

doi:10.1109/WSC.2017.8247861

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

Xueping Li
, Mohammad Ramshani
, Anahita Khojandi
, Olufemi Omitaomu
, Jon Michael Hathaway

Computational Urban Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

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
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	https://doi.org/10.1109/WSC.2017.8247861
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
ISSN (Print)	0891-7736

Conference

Conference	2017 Winter Simulation Conference, WSC 2017
Country/Territory	United States
City	Las Vegas
Period	12/3/17 → 12/6/17

Funding

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).

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10.1109/WSC.2017.8247861

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@inproceedings{b53982f01f31463e8293aefc9c598344,

title = "An agent based model for joint placement of PV panels and green roofs",

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.",

author = "Xueping Li and Mohammad Ramshani and Anahita Khojandi and Olufemi Omitaomu and Hathaway, \{Jon Michael\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Winter Simulation Conference, WSC 2017 ; Conference date: 03-12-2017 Through 06-12-2017",

year = "2017",

month = jun,

day = "28",

doi = "10.1109/WSC.2017.8247861",

language = "English",

series = "Proceedings - Winter Simulation Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2017 Winter Simulation Conference, WSC 2017",

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Li, X, Ramshani, M, Khojandi, A, Omitaomu, O & Hathaway, JM 2017, An agent based model for joint placement of PV panels and green roofs. in V Chan (ed.), 2017 Winter Simulation Conference, WSC 2017. Proceedings - Winter Simulation Conference, Institute of Electrical and Electronics Engineers Inc., pp. 1133-1144, 2017 Winter Simulation Conference, WSC 2017, Las Vegas, United States, 12/3/17. https://doi.org/10.1109/WSC.2017.8247861

An agent based model for joint placement of PV panels and green roofs. / Li, Xueping; Ramshani, Mohammad; Khojandi, Anahita et al.
2017 Winter Simulation Conference, WSC 2017. ed. / Victor Chan. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1133-1144 (Proceedings - Winter Simulation Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Li, Xueping

AU - Ramshani, Mohammad

AU - Khojandi, Anahita

AU - Omitaomu, Olufemi

AU - Hathaway, Jon Michael

PY - 2017/6/28

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AB - 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.

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M3 - Conference contribution

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T3 - Proceedings - Winter Simulation Conference

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

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