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
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