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
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
  • [21] Agent-based modeling of "cleaner" cookstove adoption and woodfuel use: An integrative empirical approach
    Jagadish, Arundhati
    Dwivedi, Puneet
    McEntire, Kira D.
    Chandar, Mamta
    FOREST POLICY AND ECONOMICS, 2019, 106
  • [22] The KODAMA methodology: An agent-based distributed approach
    Zhong, GQ
    Amamiya, S
    Takahashi, K
    Amamiya, M
    EMBEDDED SOFTWARE AND SYSTEMS, 2005, 3605 : 94 - 102
  • [23] Modeling the effect of electric vehicle adoption on pedestrian traffic safety: An agent-based approach
    Karaaslan, Enes
    Noori, Mehdi
    Lee, JaeYoung
    Wang, Ling
    Tatari, Omer
    Abdel-Aty, Mohamed
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 93 : 198 - 210
  • [24] Predicting transit ridership using an agent-based modeling approach
    Chayan, Md Mahmudul Huque
    Cirillo, Cinzia
    SOCIO-ECONOMIC PLANNING SCIENCES, 2024, 95
  • [25] Consumer willingness to participate in demand-side management: An agent-based modeling approach
    Golmaryami, Sara Sadat
    Ferreira, Paula
    Nunes, Manuel Lopes
    TECHNOLOGIES, MARKETS AND POLICIES: BRINGING TOGETHER ECONOMICS AND ENGINEERING, 2022, : 60 - 65
  • [26] Modelling Solar PV Adoption in Irish Dairy Farms Using Agent-Based Modelling
    Faiud, Iias
    Mason, Karl
    Schukat, Michael
    MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT III, 2025, 2135 : 292 - 300
  • [27] THE SIMULATED CONSUMER - AN AGENT-BASED APPROACH TO SHOPPING BEHAVIOUR
    Rauh, Juergen
    Schenk, Tilman A.
    Schroedl, Daniel
    ERDKUNDE, 2012, 66 (01) : 13 - 25
  • [28] Analysis and model-based predictions of solar PV and battery adoption in Germany: an agent-based approach
    Alyousef A.
    Adepetu A.
    de Meer H.
    Computer Science - Research and Development, 2017, 32 (1-2): : 211 - 223
  • [29] Negotiating constraints to the adoption of agent-based modeling in tourism planning
    Johnson, Peter A.
    Sieber, Renee E.
    ENVIRONMENT AND PLANNING B-PLANNING & DESIGN, 2011, 38 (02): : 307 - 321
  • [30] Agent-based modeling of supply chains for distributed scheduling
    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