Designing effective demand response: A review of behavioral insights, consumer engagement, and operational strategies in energy systems

IF 7.2 2区 经济学 Q1 ENVIRONMENTAL STUDIES
Energy Research & Social Science Pub Date : 2026-01-01 Epub Date: 2025-12-03 DOI:10.1016/j.erss.2025.104474
Duc D. Vu , Akhtar Hussain , Duc-Minh Vu , Xiao Zhang , Van-Hai Bui
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引用次数: 0

Abstract

Demand response (DR) programs help electricity systems balance supply and demand by encouraging consumers to adjust their usage in response to price signals or incentives. As population growth, urbanization, and the electrification of transportation and industry continue to increase energy needs, flexible and effective DR programs have become increasingly important. However, consumer participation remains difficult to secure because individuals are influenced by a range of cognitive factors that shape how they perceive and respond to DR incentives. In this paper, we identify five broad categories of cognitive influences that systematically affect consumer decision-making in DR settings. For each category, we provide representative examples from DR programs and review the relevant literature. We then develop a conceptual framework linking consumer engagement, cognitive influences, and socioeconomic factors, and propose unified strategies for integrating behavioral interventions at each stage of the DR engagement process. These strategies aim not only to strengthen consumer participation but also to enhance the overall effectiveness of DR programs. By deepening our understanding of how behavioral factors shape consumer responses, this review offers actionable insights for practitioners, policymakers, and researchers seeking to design DR interventions that improve energy system performance while promoting efficiency and sustainable consumption habits.
设计有效的需求响应:回顾能源系统中的行为洞察、消费者参与和运营策略
需求响应(DR)计划通过鼓励消费者根据价格信号或激励措施调整其使用量,帮助电力系统平衡供需。随着人口增长、城市化以及交通和工业电气化不断增加能源需求,灵活有效的防灾规划变得越来越重要。然而,消费者的参与仍然难以确保,因为个人受到一系列认知因素的影响,这些因素影响了他们对DR激励的看法和反应。在本文中,我们确定了在DR设置中系统地影响消费者决策的五大类认知影响。对于每个类别,我们提供了DR项目的代表性例子,并回顾了相关文献。然后,我们开发了一个连接消费者参与、认知影响和社会经济因素的概念框架,并提出了在DR参与过程的每个阶段整合行为干预的统一策略。这些策略不仅旨在加强消费者的参与,而且还旨在提高DR计划的整体有效性。通过加深我们对行为因素如何影响消费者反应的理解,本综述为寻求设计DR干预措施的从业者、政策制定者和研究人员提供了可操作的见解,这些干预措施可以提高能源系统的性能,同时促进效率和可持续消费习惯。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy Research & Social Science
Energy Research & Social Science ENVIRONMENTAL STUDIES-
CiteScore
14.00
自引率
16.40%
发文量
441
审稿时长
55 days
期刊介绍: Energy Research & Social Science (ERSS) is a peer-reviewed international journal that publishes original research and review articles examining the relationship between energy systems and society. ERSS covers a range of topics revolving around the intersection of energy technologies, fuels, and resources on one side and social processes and influences - including communities of energy users, people affected by energy production, social institutions, customs, traditions, behaviors, and policies - on the other. Put another way, ERSS investigates the social system surrounding energy technology and hardware. ERSS is relevant for energy practitioners, researchers interested in the social aspects of energy production or use, and policymakers. Energy Research & Social Science (ERSS) provides an interdisciplinary forum to discuss how social and technical issues related to energy production and consumption interact. Energy production, distribution, and consumption all have both technical and human components, and the latter involves the human causes and consequences of energy-related activities and processes as well as social structures that shape how people interact with energy systems. Energy analysis, therefore, needs to look beyond the dimensions of technology and economics to include these social and human elements.
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