Emotions and thermal comfort – feeling warmer when feeling happier

Providing thermal comfort (TC) in buildings typically uses around 30% of developed nations’ energy and carbon emissions. Thermal comfort is provided by constraining ambient temperatures to within narrowly defined ‘comfortable’ ranges traditionally based on physiological heat balance models of the human body. Our understanding of what drives thermal comfort perception is still limited however, and while physiological parameters have been identified for decades, research on psychological parameters of comfort is still rather limited. The basic emotions have not been studied in relationship to thermal comfort, so in this study, we investigated the relationship between emotional state, i.e. feeling happy or sad, and thermal comfort perception. A recent study has shown that the various basic emotions are associated with specific perceived activation state of the body (Nummenmaa, Glerean, Hari, & Hietanen, 2014) which we hypothesized would translate in different comfort states. Feeling happy would, through higher perceived bodily activation, translate to feeling warmer or more thermally comfortable - whereas feeling sad would lead to feeling colder or less thermally comfortable, because of the associated perceived lower bodily activation. We designed an experimental study using Amazon Mechanical Turk (Paolacci, Chandler, & Ipeirotis, 2010). N = 300 Turkers were recruited and randomly assigned to recall either a happy autobiographical episode or a sad one to induce a happy or sad emotional state (Briñol, Petty, & Barden, 2007). The valid sample encompassed N = 273. A manipulation check revealed that the emotional manipulation worked. There was a significant effect of emotional state on the standard ASHRAE comfort survey question “How are you feeling in this moment from 1 (cold) to 7 (hot)?”. Those feeling happy reported feeling significantly warmer than those feeling sad [t(269) = 3.66, p < .001]. However, there was no difference in the two other outcomes variables, estimate of room temperature and rating of how thermally comfortable one felt - the latter also being a standard thermal comfort survey question. We conclude that there is some evidence for a relationship between emotional state and thermal perception in feeling of warm or cold that warrants further research on this topic. The data also indicate a dissociation between various thermal comfort related outcomes measures, posing a methodological challenge that needs addressing

How should energy researchers respond to the climate 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

Future energy retail markets: stakeholder views on multiple electricity supplier models in the UK

In the transition to smart, low-carbon energy systems, the energy retail market is evolving. Many non-traditional actors are beginning to offer services that can help accommodate distributed supply intermittency. At the same time, they provide greater choice for consumers through new electricity products, such as specialised supply for assets such as EVs and smart appliances, or democratising energy supply, e.g. through peer-to-peer energy trading and community energy schemes. This represents a shift from a supplier-centric energy system to one placing greater emphasis on the role of energy end-users. However, under the current ‘supplier hub principle’ governing the UK market, domestic consumers’ interaction with the energy system is mediated by a single licensed supplier, creating barriers for non-traditional business models. This paper shares findings from eight semi-structured interviews conducted in summer 2020 with regulators, innovators, energy suppliers, and consumer advocacy groups on the future of the UK’s energy retail market and consumers’ relationship with it. The research focuses on one alternative to the supplier hub principle; a ‘multiple supplier model’, which would enable consumers to have multiple electricity suppliers at the same time, engaging with non-traditional models whilst keeping their national-level supplier. Interviewees highlighted peer-to-peer energy trading, and community energy, as well as the ability to bundle supply with technologies such as electric vehicles or smart appliances, as the most transformational use cases that multiple supplier models could facilitate. Although most interviewees felt that the current supplier hub model is not fit to support the energy transition, contention remains around how best to replace it. Findings offer insight into the challenges posed by the supplier hub principle; the advantages and disadvantages of permitting multiple suppliers; and the key aspects of interactions with multiple energy suppliers from the consumer’s perspective. This work contributes towards understanding the landscape of future supplier models and the challenges faced in transforming the energy retail market

Domestic heating behaviour and room temperatures: Empirical evidence from Scottish homes

In this paper, we describe patterns of residential heating based on data from 255 homes in and around Edinburgh, Scotland, UK, spanning August 2016 to June 2018. We describe: (i) the room temperatures achieved, (ii) the diurnal durations of heating use, and (iii) common diurnal patterns of heating behaviour. We investigate how these factors vary between weekdays and weekends, over the course of the year, by external temperature, and by room type. We compare these empirical findings with the simplifying assumptions about heating patterns found in the UK’s Standard Assessment Procedure (SAP), a widely-used building energy performance model. There are areas of concurrence and others of substantial difference with these model assumptions. Indoor achieved temperatures are substantially lower than SAP assumptions. The duration and timings of heating use vary substantially between homes and along lines of season and outdoor temperature, whereas the SAP model assumes no such variation. Little variation is found along the lines of weekday vs. weekend, whereas the SAP model assumes differences, or between living space and other rooms, consistent with the SAP. The results are relevant for those interested in how SAP assumptions regarding household heating behaviours and achieved indoor temperatures concur with empirical data

Comparison of indoor temperatures of homes with recommended temperatures and effects of disability and age: an observational, cross-sectional study.

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

Saving energy through changing light: The impact of illumination on thermal comfort

The ‘Hue-Heat Hypothesis’ states that light with wavelengths predominantly at the red end of the spectrum (or of a low colour temperature) are felt as warmer, whilst light with wavelengths mainly in the blue end (or of a high colour temperature) are felt as cooler. If confirmed, the Hue-Heat-Hypothesis could be a powerful tool for energy savings: Temperatures could be lowered under a reddish light in the heating season. Conversely, less air-conditioning might be needed during the cooling season if higher temperatures were accepted under a bluish light. Even a transitory effect would be beneficial in managing power demand by allowing building temperatures to drift over a wider range of temperatures before heating or cooling was required. We used an experimental design to study the Hue-Heat-Hypothesis. Testing took place in a climate chamber, in which ambient temperature, relative humidity, and air speed can be controlled. We installed a LED-lighting system in the chamber covering the range of correlated colour temperatures from 2700K, a warm, reddish light, to 6500K which appears bluish-cold. Participants (age range 18 to 35 years) were exposed to combinations of colour temperature and ambient temperature and completed standard thermal comfort surveys at specific time-points. Prior to testing, participants filled in a survey that asked about other factors potentially impacting on thermal comfort. In Study 1, temperature in the climate chamber was cooled continuously from 24°C to 20°C over a 60-minute period. Comfort ratings were obtained every 10 minutes. Participants (N = 32) were either exposed to a colour temperature of 2700K or 6500K (between-subjects design). Thermal comfort was higher under the warm colour temperature (2700K) than under the cold one (6500K). This difference was particularly pronounced for temperatures around 21 and 22°C. For the same subjective thermal comfort rating, ambient temperatures differed by around half a degree under the different lighting conditions. The magnitude of the effect varied with temperature (greatest effects observed around 22-23˚C) and by comfort question asked. In Study 2, a within-subject design was used. Subjects were exposed to three different lights (2700K, 4440K,6500 K) with temperature decreasing from 23°C to 19°C. Preliminary results were similar to those of Study 1 with higher comfort under the warm-appearing light. Comfort ratings under the medium colour temperature of 4400K were positioned between the higher ratings obtained for 2700K and lower ratings for 6500K, again, only in a limited corridor of ambient temperature. In Study 3, light was changed gradually from a cold to a warm colour temperature whilst ambient temperature decreased from 23°C to 19°C. Testing is on-going, but initial results indicate that the changes in self-reported comfort under decreasing temperatures are slower in the condition of changing light dynamically than under a stable Our studies support the Hue-Heat-Hypothesis. Varying the ambient light has an effect on thermal comfort and hence may be a suitable tool for energy savings and reducing of peak power demand

The SERL Observatory Dataset: Longitudinal Smart Meter Electricity and Gas Data, Survey, EPC and Climate Data for over 13,000 Households in Great Britain

The Smart Energy Research Lab (SERL) Observatory dataset described here comprises half-hourly and daily electricity and gas data, SERL survey data, Energy Performance Certificate (EPC) input data and 24 local hourly climate reanalysis variables from the European Centre for Medium-Range Weather Forecasts (ECMWF) for over 13,000 households in Great Britain (GB). Participants were recruited in September 2019, September 2020 and January 2021 and their smart meter data are collected from up to one year prior to sign up. Data collection will continue until at least August 2022, and longer if funding allows. Survey data relating to the dwelling, appliances, household demographics and attitudes was collected at sign up. Data are linked at the household level and UK-based academic researchers can apply for access within a secure virtual environment for research projects in the public interest. This is a data descriptor paper describing how the data was collected, the variables available and the representativeness of the sample compared to national estimates. It is intended as a guide for researchers working with or considering using the SERL Observatory dataset, or simply looking to learn more about it