Consumer-adoption Modeling of Distributed Solar Using an Agent-based Approach

被引:2
作者
Mittal, Anuj [1 ]
Huang, Wanyu [1 ]
Krejci, Caroline C. [2 ]
机构
[1] Iowa State Univ, Black Engn 3004, Ames, IA 50011 USA
[2] Univ Texas Arlington, Box 19017, Arlington, TX 76019 USA
来源
CSS 2017: THE 2017 INTERNATIONAL CONFERENCE OF THE COMPUTATIONAL SOCIAL SCIENCE SOCIETY OF THE AMERICAS | 2017年
关键词
Agent-based modeling; distributed solar; rooftop PV; community solar; social network; energy consumer modeling; PHOTOVOLTAIC SYSTEMS; INTEGRATION; DIFFUSION;
D O I
10.1145/3145574.3145602
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The electricity market in the U.S. is changing rapidly from a utility-scale centralized generation-distribution model to a more distributed and customer-sited energy model. Increasingly, residential consumers are showing interest in solar-based electricity, which has resulted in increased adoption of distributed solar on the rooftops of owner-occupied residences. However, limited accessibility of rooftop photovoltaic (PV) has led to equity concerns among policymakers. Also, utility companies face a decline in revenues as more residents adopt rooftop PV. In response to these issues, utility companies must consider providing alternative renewable energy options to their customers and incorporate consumer adoption modeling in their expansion planning approach. Agent-based modeling enables energy consumers' socially-motivated adoption decisions to be realistically captured. This paper describes an agent-based model that demonstrates the value of incorporating consumer-adoption modeling in a utility company's expansion planning approach.
引用
收藏
页数:11
相关论文
共 50 条
[11]   Global Warming Impacts of Residential Electricity Consumption: Agent-Based Modeling of Rooftop Solar Panel Adoption in Los Angeles County, California [J].
Grant, Courtney A. ;
Hicks, Andrea L. .
INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT, 2020, 16 (06) :1008-1018
[12]   An agent-based approach to modeling zero energy communities [J].
Mittal, Anuj ;
Krejci, Caroline C. ;
Dorneich, Michael C. ;
Fickes, David .
SOLAR ENERGY, 2019, 191 :193-204
[13]   AN AGENT-BASED MODELING APPROACH FOR CLEAN TECHNOLOGIES ADOPTION USING THEORY OF PLANNED BEHAVIOR BASED DECISION-MAKING [J].
Pakravan, Mohammad H. ;
MacCarty, Nordica .
PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2019, VOL 2B, 2020,
[14]   An analysis of factors enhancing adoption of smart metering platforms: an agent-based modeling approach [J].
Kowalska-Pyzalska, Anna .
2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2016,
[15]   Modeling the effect of electric vehicle adoption on pedestrian traffic safety: An agent-based approach [J].
Karaaslan, Enes ;
Noori, Mehdi ;
Lee, JaeYoung ;
Wang, Ling ;
Tatari, Omer ;
Abdel-Aty, Mohamed .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 93 :198-210
[16]   Consumer willingness to participate in demand-side management: An agent-based modeling approach [J].
Golmaryami, Sara Sadat ;
Ferreira, Paula ;
Nunes, Manuel Lopes .
TECHNOLOGIES, MARKETS AND POLICIES: BRINGING TOGETHER ECONOMICS AND ENGINEERING, 2022, :60-65
[17]   Hybrid agent-based modeling of rooftop solar photovoltaic adoption by integrating the geographic information system and data mining technique [J].
Lee, Minhyun ;
Hong, Taehoon .
ENERGY CONVERSION AND MANAGEMENT, 2019, 183 :266-279
[18]   Agent-based modeling of supply chains for distributed scheduling [J].
Lau, Jason S. K. ;
Huang, George Q. ;
Mak, Huang K. L. ;
Liang, L. .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2006, 36 (05) :847-861
[19]   Agent-Based Modeling and Simulation of Complex Distributed Systems [J].
Tianfield, Huaglory ;
Tian, Jiang .
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, :416-+
[20]   Determinants of spatio-temporal patterns of energy technology adoption: An agent-based modeling approach [J].
Robinson, Scott A. ;
Rai, Varun .
APPLIED ENERGY, 2015, 151 :273-284