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Please note: As this analysis plan contains several tables and figures, we recommend reading the attached PDF. All information in this registration is also contained in the PDF. Usually consumers have a relationship with a single electricity supplier. Increasingly, the option for consumers to have more than one electricity supplier is being viewed as having the potential to facilitate innovation in the energy market and enable the growth of local, low-carbon generation. Previous research has examined how aspects of interacting with multiple electricity suppliers is likely to impact uptake of business models they could enable, such as local energy, peer-to-peer energy trading, and separate supply for assets such as smart appliances and electric vehicles (Watson et al 2020, Watson et al, under review). However, if changes are going to be made to the energy market in a fair and equitable manner, it is important to understand which groups of people might benefit and who might lose out. This study will examine how demographic and attitudinal factors influence the likelihood of engaging with three use cases of multiple supplier models: local energy; P2P energy trading; and specialised supply. It will also test measures of interest that involve higher transaction costs than responding to a single survey question and examine whether stated interest correlates with a more ‘realistic’ measure of interest. The study will address three research aims: 1) To develop a more nuanced understanding of which aspects of the multiple supplier use cases participants find attractive and unattractive. 2) To test which demographic and attitudinal factors influence interest in a multiple supplier model 3) To test whether participants who express interest in a multiple supplier model on a low-transaction cost measure (e.g. a single stated preference survey question) also express interest when transaction costs are increased (i.e. when more effort is required to express interest)

This project will be conducted under the auspices of the Global Observatory on Peer-to-Peer, Community Self-Consumption and Transactive Energy (P2P/CSC/TE) Models of the Users TCP by International Energy Agency (IEA). The Observatory is an international forum for understanding the policy, regulatory, social and technological conditions necessary to support the wider deployment of P2P/CSC/TE models. The work of the Observatory is divided across five sub-tasks relating to different aspects of these models (grid physics; ICT and data; markets and transactions; economic and social value; policy and regulation). In order to identify the common critical success factors of these different models across sub-tasks and member countries, the Observatory will analyse pilot projects. To determine which projects to include as case studies, a set of selection criteria is required. More fundamentally, definitions and labels of P2P/CSC/TE models differ widely across contexts and there is no universally accepted definition for this class of models. This project aims to fill this research gap and provide a conceptual understanding of the characteristics of these models. The project will answer the following research question in the form of a concept definition paper: What are the key distinguishing features of energy systems labelled as Peer-to-Peer, Community/Collective Self-Consumption and Transactive Energy as outlined in the literature and by stakeholders? Findings of this project will form the basis for selection criteria for pilot projects studied under the Observatory.

Within the IEA EBC Annex 69 on Strategy and Practice of Adaptive Thermal Comfort in Low Energy Buildings (http://annex69.org/), we are conducting an international questionnaire study related to thermal comfort scales. Our objective is the analysis of influences on the perception of thermal comfort scales. In particular, we are looking at the effect of the current thermal state, peoples climatic background, and level of adaptation on the relationship between thermal sensation, thermal comfort, and thermal acceptance.

A multiple supplier model has been proposed as a solution to the challenge of integrating distributed energy resources into a centralized grid, by allowing consumers to engage with specialised or local suppliers whilst retaining their current energy supplier. However, it is unclear how the need to interact with multiple suppliers might affect consumer engagement with the energy market. This study will apply online adaptive conjoint survey experiments, exploring different use cases of multiple supplier models and how the design of a multiple supplier model could influence consumer engagement. This study will focus on three main use cases: local energy suppliers (LE); peer-to-peer energy trading (P2P); and smart homes (SH).

Globally, individuals, organisations and nations have declared a climate emergency, ���a situation that poses an immediate risk to health, life, property, or environment���.1 Despite this, there has been no noticeable step change in the way that energy research to help tackle climate change is being organised and conducted. How can and should we be changing what we do to face up to this emergency? How should energy researchers who want to tackle (mitigate) climate change respond to this emergency?

Globally, individuals, organisations and nations have declared a climate emergency, “a situation that poses an immediate risk to health, life, property, or environment”. Despite this, there has been no noticeable step change in the way that energy research to help tackle climate change is being organised and conducted. How can and should we be changing what we do to face up to this emergency? How should energy researchers who want to tackle (mitigate) climate change respond to this emergency? These are the questions we discuss in this working paper.

OBJECTIVES: We examine if temperatures in winter in English homes meet the recommendation of being at least 18°C at all times. We analyse how many days meet this criterion and calculate the hours per day and night being at/above 18°C. These metrics are compared between households with occupants aged above 64 years or having a long-term disability (LTD) and those younger and without disability. DESIGN: Cross-sectional, observational. SETTING: England. PARTICIPANTS: 635 households. OUTCOMES MEASURES: (1) Mean temperatures, (2) proportion of days of the measurement period meeting the criterion, (3) average hours at/above 18°C, (4) average hours at night at/above 18°C. RESULTS: Mean winter temperatures in the bedroom were MBR=18.15°C (SD=2.51), the living room MLR=18.90°C (SD=2.46) and the hallway MHall=18.25°C (SD=2.57).The median number of days meeting the criterion was 19-31%. For the living room, more days meet the criterion in the group with a LTD (Mdisability=342 vs Mno_disability=301, 95% CI 8 to 74), and with someone over 64 years present (Mabove64=341, Mbelow65=301 95%, CI 8 to 74).The median number of hours/day meeting the criterion was 13-17. In the living room, households with a disability had more hours at 18°C (Mdisability=364, Mno_disability=297, 95% CI 17 to 83) as did the older age group (Mabove64=347, Mbelow65=296, 95% CI 18 to 84). In the hallway, more hours met the criterion in households with a disability (Mdisability=338, Mno_disability=302, 95% CI 3 to 70).247 homes had at least nine hours of at least 18°C at night; no effect of age or disability. CONCLUSIONS: Many households are at risk of negative health outcomes because of temperatures below recommendations.