Managing the energy trilemma of reliability, affordability and renewables: Assessing consumer demands with discrete choice experiments

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Mark Tocock, Dugald Tinch, Darla Hatton MacDonald, John M. Rose
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引用次数: 1

Abstract

In response to the looming climate crisis, many countries are adopting technologies to reduce the accumulation of greenhouse gases. However, national energy policies are often multiobjective and resolution deeply divisive. The result is a policy trilemma between the energy mix and the trade-offs with other policy objectives, including cost and reliability. Utilising a discrete choice experiment (DCE), the objective of this study is to explore Australian household preferences for alternative electricity contracts containing features reflecting changes in future energy policy. The first set of features include investments in renewable generation and community-based energy storage. The second set of features reflect demand-side management policies, including installing smart meters and consumption limits being imposed on households during peak demand. Two versions of the DCE were developed to obtain both willingness to pay and willingness to accept estimates for the same features. In line with the literature, differences in the two sets of estimates were observed, with the willingness to accept estimates being statistically larger for some features. These dollar value measures can be used to support public policy decision-making – the choice of which depending on the context of the policy problem being considered.

Abstract Image

管理能源可靠性、可负担性和可再生能源的三难困境:用离散选择实验评估消费者需求
为了应对迫在眉睫的气候危机,许多国家正在采用减少温室气体积累的技术。然而,各国的能源政策往往是多目标的,解决方案分歧很大。其结果是在能源结构和与其他政策目标(包括成本和可靠性)的权衡之间形成政策三难困境。利用离散选择实验(DCE),本研究的目的是探讨澳大利亚家庭对替代电力合同的偏好,其中包含反映未来能源政策变化的特征。第一组特征包括对可再生能源发电和基于社区的能源储存的投资。第二组特征反映了需求侧管理政策,包括安装智能电表和在需求高峰期间对家庭施加消费限制。开发了两个版本的DCE,以获得对相同特性的支付意愿和接受意愿。与文献一致,观察到两组估计的差异,对某些特征接受估计的意愿在统计上更大。这些价值衡量标准可用于支持公共政策决策——选择哪一种取决于所考虑的政策问题的背景。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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