{"title":"基于主体的住宅光伏采用和扩散模型:对能源政策设计的启示","authors":"Nan Zhang , Jianxiong Xu , Tianpei Tang , Meining Yuan , Bon-Gang Hwang","doi":"10.1016/j.jup.2025.101960","DOIUrl":null,"url":null,"abstract":"<div><div>Residential Photovoltaics (RPV) systems, a type of building-integrated photovoltaics for residential buildings, play a significant role in energy transformation as residential buildings account for approximately 38 % of total electricity consumption. Countries worldwide employ different energy policies to promote RPV adoption, such as Feed-in Tariff (FIT), Net Billing (NetB), and Net Metering (NetM). However, existing research often neglects the impact of these policies on consumers' post-installation energy behaviors, such as the \"rebound effect\" on energy usage, which may counteract the policy's original design. Additionally, there currently is a lack of a systematic approach for choosing suitable energy policies under different scenarios and determining optimal policy parameters in RPV policy analysis. This study implements a simulation-optimization approach based on survey data to address the aforementioned issues by innovatively incorporating energy usage behaviors into the analysis. Using Singapore as the Base Case, different scenarios are synthesized to simulate RPV adoption environments in other representative districts. This study identifies valuable policy modification patterns that can assist policymakers in designing optimal energy policies. Furthermore, the methodology can be applied globally to other renewable energy technologies.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"95 ","pages":"Article 101960"},"PeriodicalIF":3.8000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Agent-based modeling of residential photovoltaic adoption and diffusion: Implications for energy policy design\",\"authors\":\"Nan Zhang , Jianxiong Xu , Tianpei Tang , Meining Yuan , Bon-Gang Hwang\",\"doi\":\"10.1016/j.jup.2025.101960\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Residential Photovoltaics (RPV) systems, a type of building-integrated photovoltaics for residential buildings, play a significant role in energy transformation as residential buildings account for approximately 38 % of total electricity consumption. Countries worldwide employ different energy policies to promote RPV adoption, such as Feed-in Tariff (FIT), Net Billing (NetB), and Net Metering (NetM). However, existing research often neglects the impact of these policies on consumers' post-installation energy behaviors, such as the \\\"rebound effect\\\" on energy usage, which may counteract the policy's original design. Additionally, there currently is a lack of a systematic approach for choosing suitable energy policies under different scenarios and determining optimal policy parameters in RPV policy analysis. This study implements a simulation-optimization approach based on survey data to address the aforementioned issues by innovatively incorporating energy usage behaviors into the analysis. Using Singapore as the Base Case, different scenarios are synthesized to simulate RPV adoption environments in other representative districts. This study identifies valuable policy modification patterns that can assist policymakers in designing optimal energy policies. Furthermore, the methodology can be applied globally to other renewable energy technologies.</div></div>\",\"PeriodicalId\":23554,\"journal\":{\"name\":\"Utilities Policy\",\"volume\":\"95 \",\"pages\":\"Article 101960\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Utilities Policy\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S095717872500075X\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Utilities Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S095717872500075X","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Agent-based modeling of residential photovoltaic adoption and diffusion: Implications for energy policy design
Residential Photovoltaics (RPV) systems, a type of building-integrated photovoltaics for residential buildings, play a significant role in energy transformation as residential buildings account for approximately 38 % of total electricity consumption. Countries worldwide employ different energy policies to promote RPV adoption, such as Feed-in Tariff (FIT), Net Billing (NetB), and Net Metering (NetM). However, existing research often neglects the impact of these policies on consumers' post-installation energy behaviors, such as the "rebound effect" on energy usage, which may counteract the policy's original design. Additionally, there currently is a lack of a systematic approach for choosing suitable energy policies under different scenarios and determining optimal policy parameters in RPV policy analysis. This study implements a simulation-optimization approach based on survey data to address the aforementioned issues by innovatively incorporating energy usage behaviors into the analysis. Using Singapore as the Base Case, different scenarios are synthesized to simulate RPV adoption environments in other representative districts. This study identifies valuable policy modification patterns that can assist policymakers in designing optimal energy policies. Furthermore, the methodology can be applied globally to other renewable energy technologies.
期刊介绍:
Utilities Policy is deliberately international, interdisciplinary, and intersectoral. Articles address utility trends and issues in both developed and developing economies. Authors and reviewers come from various disciplines, including economics, political science, sociology, law, finance, accounting, management, and engineering. Areas of focus include the utility and network industries providing essential electricity, natural gas, water and wastewater, solid waste, communications, broadband, postal, and public transportation services.
Utilities Policy invites submissions that apply various quantitative and qualitative methods. Contributions are welcome from both established and emerging scholars as well as accomplished practitioners. Interdisciplinary, comparative, and applied works are encouraged. Submissions to the journal should have a clear focus on governance, performance, and/or analysis of public utilities with an aim toward informing the policymaking process and providing recommendations as appropriate. Relevant topics and issues include but are not limited to industry structures and ownership, market design and dynamics, economic development, resource planning, system modeling, accounting and finance, infrastructure investment, supply and demand efficiency, strategic management and productivity, network operations and integration, supply chains, adaptation and flexibility, service-quality standards, benchmarking and metrics, benefit-cost analysis, behavior and incentives, pricing and demand response, economic and environmental regulation, regulatory performance and impact, restructuring and deregulation, and policy institutions.