4.3 Article

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

Journal

Publisher

WILEY
DOI: 10.1111/1467-8489.12509

Keywords

Australian National Electricity Market; community battery storage; demand-side management; discrete choice experiment; renewable energy

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In response to the climate crisis, many countries are adopting technologies to reduce greenhouse gases. However, national energy policies often face trade-offs and divisive debates due to multiple objectives. This study explores Australian household preferences for alternative electricity contracts reflecting future energy policy changes. The findings show differences in willingness to pay and willingness to accept estimates for various features, providing valuable insights for policy decision-making.
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.

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