Fuelwood is an important source of domestic energy in rural regions of Brazil. In the Zona da Mata of Minas Gerais, native species from the Atlantic Forest are an important source of fuelwood, supplemented by wood from eucalyptus and coffee plantations. The use of native species is complicated by their increasing scarcity and the recent enforcement of forest policies that prohibit the felling of even dead natives trees without a permit. In this study, the factors contributing to the use of fuelwood in this region, despite the simultaneous use of liquid petroleum gas in most households, are explored by examining fuelwood use patterns in four small rural communities in the Zona da Mata Mineira using household surveys and semi-structured interviews. Two hypotheses were tested using a Jacknife regression. The first hypothesis, based on the energy ladder model, tested the predictive power of socioeconomic status in relation to fuelwood use. Two dependent variables were used to represent the importance of fuelwood to a household: the amount of time a household spent collecting fuelwood (Effort) and the number of purposes a household used fuelwood for (Class of Fuelwood Use). Socioeconomic status did explain a statistically significant percentage of the variance in Effort, but not in Class of Fuelwood Use. The second hypothesis tested for a moderating effect of the availability of fuelwood on the relationship between the socioeconomic status of a household and the dependent variables. The interaction between access to fuelwood and socioeconomic status was shown to explain a significant percentage of the variance in Effort, thereby indicating that the effect of socioeconomic status on time spent collecting fuelwood depends on access to fuelwood. However, there was no statistically significant interaction found between Class of Fuelwood Use and fuelwood availability. The Atlantic Forest Policy was found to have little influence on domestic energy decisions made by surveyed households. Few research subjects had a good understanding of the basic tenets of this policy and the Forest Police do not have adequate resources to enforce the policy at this level.

Fuelwood is an important source of domestic energy in rural regions of Brazil. In the Zona da Mata of Minas Gerais, native species from the Atlantic Forest are an important source of fuelwood, supplemented by wood from eucalyptus and coffee plantations. The use of native species is complicated by their increasing scarcity and the recent enforcement of forest policies that prohibit the felling of even dead natives trees without a permit. In this study, the factors contributing to the use of fuelwood in this region, despite the simultaneous use of liquid petroleum gas in most households, are explored by examining fuelwood use patterns in four small rural communities in the Zona da Mata Mineira using household surveys and semi-structured interviews. Two hypotheses were tested using a Jacknife regression. The first hypothesis, based on the energy ladder model, tested the predictive power of socioeconomic status in relation to fuelwood use. Two dependent variables were used to represent the importance of fuelwood to a household: the amount of time a household spent collecting fuelwood (Effort) and the number of purposes a household used fuelwood for (Class of Fuelwood Use). Socioeconomic status did explain a statistically significant percentage of the variance in Effort, but not in Class of Fuelwood Use. The second hypothesis tested for a moderating effect of the availability of fuelwood on the relationship between the socioeconomic status of a household and the dependent variables. The interaction between access to fuelwood and socioeconomic status was shown to explain a significant percentage of the variance in Effort, thereby indicating that the effect of socioeconomic status on time spent collecting fuelwood depends on access to fuelwood. However, there was no statistically significant interaction found between Class of Fuelwood Use and fuelwood availability. The Atlantic Forest Policy was found to have little influence on domestic energy decisions made by surveyed households. Few research subjects had a good understanding of the basic tenets of this policy and the Forest Police do not have adequate resources to enforce the policy at this level.

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With housing in the UK responsible for over a quarter of all building related carbon dioxide (CO2) emissions, it is becoming increasingly difficult to ignore the impact of occupant behaviour on such emissions. One area where occupant behaviour contributes largely towards emissions is space heating within domestic buildings. Despite technological improvements in the efficiency of heating systems, controls have become increasingly complex. Hence, there is a need to enable people to use their heating controls effectively in order to help reduce the associated CO2 emissions. This research found that significant numbers of people were excluded from using digital programmable thermostats, in particular people over 50 years old. The first study examined the scale of exclusion relating to digital programmable thermostats installed at a specific housing development. A second study explored in detail the reasons for exclusion from successfully programming a range of digital programmable thermostats. This was an in-depth usability study of heating controls that focused on the usability issues experienced by older people and was published in the Journal of Engineering Design. Based upon the outcomes of the first two studies a more inclusive heating control interface prototype was developed. The prototype demonstrated a reduction in both cognitive demands and associated user exclusion. Task success rates increased by 56.3% amongst older participants, and detailed energy modelling indicated that energy savings of 14.5-15.6% annually could be achievable. This work suggests that a more inclusive heating control interface could enable energy savings in the region of 15% through reducing the cognitive demands. Furthermore, this research challenges the existing paradigm and shows that inclusive design research may contribute to sustainable development in an environmental, as well as social, capacity.

The domestic sector currently accounts for approximately a third of the UK s energy use and so energy demand reduction in the domestic sector is a key part of the UK s strategy for carbon reduction. However, energy demand reduction has typically been addressed from an engineering perspective, with little consideration of the requirements of users. This PhD submission aims to identify how qualitative information about users experiences, values and practices relating to UK domestic energy demand reduction can be collected and presented effectively to an engineering audience and incorporated into engineering-focused energy research. User centred design is presented as a viable approach to understanding the context of energy use in UK homes and specifying requirements of the householders; as a way of ensuring user needs are included in this socio-technical problem space. This requires presentation of information about human behaviour in a form that is timely and appropriate to the engineering audience, who take a positivist view, preferring facts and figures to descriptions and anecdotes. A collection of nine publications, mostly peer-reviewed journal papers, by the thesis author and her co-authors is presented. Publications spanning from 2006 to 2014 illustrate a range of approaches to providing user centred information, from literature review to complex householder studies, which can provide information to enhance the engineering data and so provide additional insight and understanding. The research findings within the individual papers add to the body of knowledge on domestic energy use. In addition, the research identifies a number of roles where user centred design contributes to understanding of home energy use. From providing background and raising awareness of the presence of users within a system, to contextual understanding and the specification of user requirements, through to more sophisticated user characterisation, it is argued that user centred design can offer a significant contribution to the field. Future application of user information into engineering models, together with large scale, longitudinal studies of home energy use are proposed, building on the contributions of this thesis.

Energy consumption in the home depends on appliance ownership and use, space heating systems, control set-points and hot water use. It represents a significant proportion of national demand in the UK. The factors that drive the level of consumption are a complex and interrelated mix of the numbers of people in the home, the building and system characteristics as well as the preferences for the internal environment and service choices of occupants. Reducing the energy demand in the domestic sector is critical to achieving the national 2050 carbon targets, as upward of 60% reduction in demand is assumed by many energy system scenarios and technology pathways. The uptake of reduction measures has been demonstrated to be quite ad hoc and intervention studies have demonstrated considerable variation in the results. Additionally, a limitation of many studies is that they only consider one intervention, whereas a more holistic approach to the assessment of the potential of reduction measures in specific homes may yield a better understanding of the likely impact of measures on the whole house consumption and indeed would shed light on the appropriateness of the assumptions that underpin the decisions that need to be made regarding the future energy supply system and demand strategies. This work presents a systematic approach to modelling potential reductions for a set of seven family homes, feeding back this information to householders and then evaluating the likely reduction potential based on their responses. Carried out through a combination of monitoring and semi-structured interviews, the approach develops a methodology to model energy reduction in specific homes using monitoring data and steady-state heat balance principles to determine ventilation heat loss, improving the assumptions within the energy model regarding those variables affected by human behaviour. The findings suggest that the anticipated reductions in end use energy demand in the domestic sector are possible, but that there is no `one size fits all' solution. A combination of retrofitting and lifestyle change is needed in most homes and smart home technology may potentially be useful in assisting the home owner to achieve reductions where they are attempting to strike a balance between energy efficiency, service and comfort.

As part of the UK’s effort to combat climate change, deep reductions in carbon emissions will be required from existing social housing. This thesis explores the viability of achieving such a goal through a case-study approach, focusing on Peabody, a large housing association operating in London. A model was developed for Peabody’s existing housing stock that quantifies the impacts of technical carbon reduction interventions on stock carbon emissions, Peabody’s expenditure and residents’ fuel bills for the period up to 2030. A participant observation study, conducted from 2006 to 2009, explored the impact of contextual factors influencing the viability of Peabody carrying out the considered technical interventions. The model study found that the Greater London Authority’s target of achieving 60% emission cuts by 2025 could be achieved, but only through extensive stock refurbishment, including a widespread use of solid wall insulation. An external context of substantial reductions in the carbon intensity of the national grid and constrained resident demand for energy is also required. Even where considerable financial support for refurbishment from Government was assumed, the model provided evidence of a funding gap of tens of millions of pounds which would need to be bridged if the required measures were to be carried out. The participant observation study found that the prohibitive cost of carrying out carbon reduction measures is the key barrier currently holding back progress. Other significant issues are related to Government policy, including the inability to raise income from residents to offset refurbishment spending, and the lack of a long term framework to drive action to reduce emissions from existing UK housing. By coupling an analysis of technical interventions with analysis of their financial and political viability, this thesis demonstrates that the achievement of deep emission cuts from Peabody’s existing stock is certainly possible, but requires changes in Government policy and increased efforts from all stakeholders concerned if it is to come to pass.

Energy is largely invisible to users. It has been argued that employing technologies to visualise energy will assist people in conserving energy. Energy visibility interventions have largely focussed on appliance use and electricity consumption. This thesis aims to firstly explore whether making heat visible, using thermal images, promotes heat (and thereby energy) conservation. Secondly using a multiple method approach, it explores how. Five studies were employed. Study One and Three investigated whether using thermal images as a tailored antecedent intervention would promote energy conservation behaviours. The results confirmed that the images led to a reduction in Kg CO2 emissions attributed to domestic energy use. Study One and Three indicated that householders undertook more energy saving behaviours in relation to those aspects that were visible in the images. These actions were attributed to simple, energy saving behaviours such as proofing draughts. Study Two investigated how people make sense of the images and how behaviours are promoted by the images. Study two suggested that the images provide a unique medium through which factors which contribute to energy saving can be combined and reasoned by the viewer. It suggests the psychological factors in a pathway from prompt to behaviour. Study Four established that showing the images in an information presentation was not as effective when influencing participants’ ideas about energy conservation. Finally, Study Five explored participants gaze and demonstrated how features of the images, can attract the viewer. The novel contribution of this thesis is in establishing that ‘making heat visible’ through a tailored thermal imaging prompt can increase the likelihood of a householder taking simple energy saving actions, by providing a novel medium through which householders attend to heat and energy use.

Yes / This paper presents a method of generating realistic electricity load profile data for the UK domestic buildings. The domestic space heating and domestic hot water have been excluded in this study. The information and results of previous investigations and works that is available in public reports and statistics have been used as input data when modeling of domestic energy consumption. A questionnaire survey was conducted to find out what occupants do in different times of the day in order to get probabilistic estimates of usage of electrical household. The daily energy demand load profile of each appliance can be predicted using this method. A measured data set is also applied for comparison, and verification. Our analysis shows that the generated load profiles have a good agreement with real data. The daily load profile from individual dwelling to community can be predicted using this method.

La combinaison de l'internet des objets et des nouvelles technologies liées à l'énergie transforme le paysage de l'énergie dans la maison. Les installations de micro générateurs, dominées par les panneaux solaires photovoltaïques, sont en constante progression. C'est une opportunité pour la création et l'altération des comportements énergétiques. Cependant, ces transformations créent également un nouveau challenge que l'on appelle le « différentiel énergétique » à l'échelle de la maison : la consommation et la génération d'électricité des ménages sont désynchronisées. En effet, la génération locale est majoritairement incontrôlable et dépendante des conditions météorologiques alors que la consommation des ménages à tendance à se concentrer en soirée. Cette thèse vise à comprendre et supporter les pratiques de déplacement des consommations émergentes dans les ménages équipés de panneaux solaires photovoltaïques. En particulier, nous observons « Comment les outils numériques peuvent-ils tirer parti des pratiques de déplacement des consommations dans le contexte de micro génération domestique ? ». Pour adresser cette question nous avons combiné des approches empiriques et d'ingénierie, se renforçant et s'informant mutuellement les unes et les autres pour fournir une solution générale. Cela inclut la collection de données qualitatives et quantitatives, des analyses en collaboration avec les participants, des études longitudinales, des interviews, du co-design, des simulations et des tests en condition réelles. Tout au long de cette thèse, nous avons utilisé une méthodologie centrée sur l'utilisateur à chaque étape pour informer et valider la recherche en collaboration avec 38 ménages. A travers une investigation approfondi des routines telles que faire la lessive et se déplacer en voiture électrique, nous soulignons l'engagement naturel des ménages pour le déplacement des consommations. Cependant, cette activité se révèle complexe et fastidieuse. Nous révélons cette complexité à l'aide d'une analyse de donnée participative, une méthode élaborée afin d'analyser les données en collaboration avec les participants. Nous construisons une compréhension détaillée de la relation entre la génération d'électricité domestique et les routines du quotidien. Enfin, nous soulignons le besoin d'un support contextuel à travers le déploiement d'interventions sur le terrain. En perspective de la littérature, nous proposons un modèle conceptuel pour le support interactif de déplacement des consommations. / The combination of ubiquitous computing and emerging energy technologies is radically changing the home energy landscape. Domestic micro-generation, dominated by solar photovoltaic, is increasing at a rapid pace. This represents an opportunity for creating and altering energy behaviours. However, these transformations generate new challenges that we call the domestic energy gap: domestic electricity consumption and micro-generation are out of sync. Micro-generation is mainly uncontrollable production relying on weather while domestic energy consumption tends to happen mostly during the evening. This thesis focuses on understanding and supporting new domestic practices in the context of domestic solar electricity generation, looking at ‘Demand-Shifting’. Specifically, we look at how can digital tools leverage Demand-Shifting practices in the context of domestic micro-generation? Relying on a mixed-method approach, we provide a qualitative and quantitative answer with the collaboration of 38 participating households in several field studies including two spanning more than eight months. Through a deep investigation of laundry and electric mobility routines in the context of domestic micro-generation, we emphasised a natural engagement into Demand-Shifting which appeared as a complex and time-consuming task for participants which was not visible when we analysed their quantitative data. We revealed this complexity through Participatory Data Analyses, a method we designed to analyse the data in collaboration with the participating householders. This provided us with a comprehensive view of the relationship between domestic micro-generation and daily routines. Finally, we highlight the need for timely and contextual support through the deployment of interventions in-the-wild. Building on discussions of our findings in perspective of the literature, we propose a conceptual framework to support domestic interactive Demand-Shifting (iDS).