Abstract:The introduction of smart technology and dynamic tariffs (such as time-of-use tariffs) provides multiple potential benefits for electricity markets. However, time-of-use tariffs represent an additional complexity for consumer tariff choices in electricity markets. How well consumers may choose between different types of tariffs, and whether certain tools can improve these choices, are therefore important questions for energy regulators and policy makers. This paper presents the results of an exploratory study … Show more
“…Table 2 compares the sample and population of Florianopolis region profiles. The sample is younger than the actual population, which is common to other online surveys (e.g., Gerpott and Paukert, 2013, Chou and Yutami, 2014, Chou et al, 2015, Belton and Lunn, 2020. Specifically, it is composed of a larger number of 17 to 34 years old (about 20% more) and a lower number of 55+ year old (about half) relative to the target population.…”
The development of policies promoting smart meter adoption is essential to guide the transition towards sustainable use of resources such as water, electricity and gas, as well as inform smart-city initiatives. This article explores household preferences in terms of different smart meters and identifies the amounts that households are willing to pay for different smart meter configurations to monitor electricity, water and gas based on the features of their home including dwelling type, size and property value. To this aim, we employ a mixed multinomial logit model that accounts for the heterogeneity in customers' preferences for different smart meters. As a proof of concept, the proposed model is applied to a survey incorporating a discrete choice experiment carried out with 232 respondents in the Florianopolis metropolitan region, located in the south of Brazil.Our approach offers a number of advantages to facilitate the broader implementation of smart grid systems that would otherwise be overlooked using traditional approaches that rely on aggregated estimates for demand and willingness to pay for proposed schemes.
“…Table 2 compares the sample and population of Florianopolis region profiles. The sample is younger than the actual population, which is common to other online surveys (e.g., Gerpott and Paukert, 2013, Chou and Yutami, 2014, Chou et al, 2015, Belton and Lunn, 2020. Specifically, it is composed of a larger number of 17 to 34 years old (about 20% more) and a lower number of 55+ year old (about half) relative to the target population.…”
The development of policies promoting smart meter adoption is essential to guide the transition towards sustainable use of resources such as water, electricity and gas, as well as inform smart-city initiatives. This article explores household preferences in terms of different smart meters and identifies the amounts that households are willing to pay for different smart meter configurations to monitor electricity, water and gas based on the features of their home including dwelling type, size and property value. To this aim, we employ a mixed multinomial logit model that accounts for the heterogeneity in customers' preferences for different smart meters. As a proof of concept, the proposed model is applied to a survey incorporating a discrete choice experiment carried out with 232 respondents in the Florianopolis metropolitan region, located in the south of Brazil.Our approach offers a number of advantages to facilitate the broader implementation of smart grid systems that would otherwise be overlooked using traditional approaches that rely on aggregated estimates for demand and willingness to pay for proposed schemes.
“…This result is important, because clocks like those we tested have been designed and promoted in markets where ToU tariffs are already available. Previous research has also indicated that consumers have difficulty processing tariffs presented as clocks (Belton and Lunn, 2020). The implication of this research is that primers for consumers should avoid this type of presentation and instead use simple tables.…”
Section: Discussionmentioning
confidence: 87%
“…Comprehension and recall improved with the linear representation (BE Works, 2019). A more recent study conducted in Ireland revealed that such linearised representation was actually associated with worse understanding and recall of features of ToU tariffs, compared to a simple table (Belton and Lunn, 2020).…”
Section: Communicating Energy-related Information To Enhance Comprehensionmentioning
With the ongoing rollout of smart meters in Ireland, time-of-use (ToU) tariffs are currently being introduced as a new way to pay for electricity. Such tariffs can bring important benefits to both consumers and society, in terms of reduced electricity bills and CO2 emissions, respectively. At the same time, some consumers may find it more difficult to benefit from ToU tariffs than others. Communication around ToU tariffs thus needs to explain both benefits and challenges successfully; it needs to encourage ToU uptake, while enhancing comprehension. This paper presents results from a pre-registered experiment that pre-tested behaviourally-informed communications on ToU tariffs. A large, representative sample of consumers (n=1,300) viewed an experimentally manipulated primer on ToU tariffs before completing a series of tasks to measure their views, objective comprehension, and tariff choices. In general, consumers were positive towards ToU tariffs, viewing monetary savings as a primary benefit. Environmental framing of information enhanced positivity among younger participants. Comprehension and choice quality were rather modest, but improved when tariff examples were presented in a plain table, compared to 24h clock formats. This finding is important as the latter are commonly used in the market. The study demonstrates the benefit of experimentally pre-testing policy interventions.
“…The proposed formulation also ensures recovery of regulated costs, but do not guarantee profit maximization of customers; instead, the tariff system incentivizes peak shaving that leads to economic efficiency. However, the complexity of the optimization proposals is a limitation while considering the impact of customer understandability on the performance of a tariff system [5][6][7]. A more accurate (but simple) representation of welfare maximization is left for future work.…”
Section: Formulation Of the Tariff Systemmentioning
confidence: 99%
“…This need for simplicity has captured particular attention in the literature. In [5], an experiment is conducted in Ireland to test consumer behaviour towards smart meters and time-of-use tariffs. The results suggest that consumers struggle to match their electricity usage to appropriate tariffs, and that a general aversion to more complex tariffs can lead to sub-optimal choices.…”
In a scenario where distributed generation infrastructure is increasing, the impact of that integration on electricity tariffs has captured particular attention. As the distribution sector is mainly regulated, tariff systems are defined by the authority. Then, tariffs must be simple, so the methodology, criteria, and procedures can be made public to ensure transparency and responsiveness of the customers to price signals. In the aim of simplicity, tariff systems in current practices mostly consist of volumetric charges. Hence, the reduction of the energy purchased from the distribution network jeopardizes the ability of the tariff system to ensure recovery of the total regulated costs. Although various works have captured this concern, most proposals present significant mathematical complexity, contrasting with the simplicity of current practices and limiting its regulatory applicability. This work develops a tariff system that captures the basic elements of distribution systems, trying to maintain the simplicity of current practices, ensuring recovery of the total regulated cost under the penetration of distributed generation, and incentivizing through price signals operational efficiency. A simulation will be presented to discuss numerical results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.