An investigation of the socio-economic, technical and appliance related factors affecting high electrical energy demand in UK homes

The amount of electricity used in individual UK homes varies considerably. Previous UK energy research has identified that high electricity consuming homes not only use more electricity, compared with others, but appear to be consuming even more electricity over time. Furthermore, there is additional evidence which shows that high consuming dwellings also have a greater potential to make energy savings than those who consume less. It has been suggested that future UK energy policy might focus on reducing the demand of high electricity consumers in order to reduce overall CO2 emissions. Therefore, understanding what drives high usage in domestic buildings is essential to support informed decisions. This thesis asserts that to improve knowledge and understanding of the factors affecting high electrical energy consumption in UK domestic buildings, it is necessary to combine an analysis of the occupants socio-economic characteristics, dwelling technical characteristics and appliance related aspects, with detailed monitoring of the ownership, power demand and occupants use of electrical appliances. Using a sample of 315 UK homes, the influence of socio-economic, technical and appliance related characteristics on the probability of a household being a high electrical energy consumer was investigated (Odds ratio analysis). Detailed appliance monitoring data was collected from 27 UK homes to establish the contributions of appliance ownership, power demand and use to high electrical energy demand (Appliance Electricity Use Survey). The current research found similar skewed electricity distributions towards high electricity consumers for both the 315 and 27 home cohorts. Conflicting results were however obtained from the two household samples with regard to whether high electricity consumers are increasing electrical energy demand over time. The results of the odds ratio analysis and Appliance Electricity Use Survey suggest that high electricity consumption in domestic buildings is related to a combination of the socio-economic characteristics of the building occupants, technical characteristics of the dwelling and the ownership, power demand and use of electrical appliances

Determinants of high electrical energy demand in UK homes: appliance ownership and use

This paper provides an analysis of the appliance ownership and use factors contributing to high electrical energy demand in UK homes. The data were collected during a large-scale, city-wide survey, carried out in Leicester, UK, in 2009-2010. Annual electricity consumption and appliance ownership and use were established for 183 dwellings and an odds ratio analysis used to identify the factors that led to high electricity consumption. Many of the appliance ownership and use factors have not previously been studied for the UK domestic sector. The results of this study should be of key interest to government policy makers and energy supply companies interested in the underlying drivers of the highly positively skewed distribution of UK domestic electricity use. The study identifies those appliances that could be targeted for technical improvements or subjected to campaigns to encourage more energy efficient use in order to reduce electricity consumption among high demand households. This paper builds on earlier work by the current authors which identified the households (socio-demographic and dwelling characteristics) most likely to be high electricity consumers. The current work provides the basis for advice and guidance to those households that would enable them to, over time, reduce their electricity use

The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings

This paper aims to investigate the socio-economic, dwelling and appliance related factors that have significant or non-significant effects on domestic electricity consumption. To achieve this aim, a comprehensive literature review of international research investigating these factors was undertaken. Although papers examining the factors affecting electricity demand are numerous, to the authors' knowledge, a comprehensive analysis taking stock of all previous findings has not previously been undertaken. The review establishes that no less than 62 factors potentially have an effect on domestic electricity use. This includes 13 socio-economic factors, 12 dwelling factors and 37 appliance factors. Of the 62 factors, four of the socio-economic factors, seven of the dwelling factors, and nine of the appliance related factors were found to unambiguously have a significant positive effect on electricity use. This paper contributes to a better understanding of those factors that certainly affect electricity consumption and those for which effects are unclear and require further research. Understanding the effects of factors can support both the implementation of effective energy policy and aid prediction of future electricity consumption in the domestic sector

The actual performance of aspiring low energy social houses in the United Kingdom

This paper compares the actual energy performance of six flats and two houses built to low energy standards (Code for Sustainable Homes Levels 4 and 5) with a near identical flat and house built to minimum compliance only (Building Regulations). As low energy homes are only recently emerging in the United Kingdom housing stock, and even fewer are subject to Post Occupancy Evaluation, little is known about their actual energy use in operation. The results show that low energy dwellings may consume more energy than expected and the behaviour of the occupants residing in low energy homes plays an important role in determining their actual energy consumption

Determinants of high electrical energy demand in UK homes: socio-economic and dwelling characteristics

This paper provides an analysis of the socio-economic and dwelling factors contributing to high electrical energy demand in UK domestic buildings. The socio-economic, dwelling and electricity consumption data were collected during a large-scale, city-wide survey, carried out in Leicester, UK, in 2009–2010. Annual electrical energy demand was estimated for 315 dwellings and an odds ratio analysis used to identify the socio-economic and dwelling factors that led to high electricity consumption. The effects of a number of socio-economic and dwelling factors which have not previously been studied for the UK domestic sector are included. Thus, for the first time, presence of teenagers, having electric space heating as the primary form of heating, portable electric heating and electric water heating were identified as significant drivers of high electricity demand in UK homes. The employment status and education level of the Household Representative Person, the number of floors in a dwelling, presence of fixed electric heating, and the proportion of low-energy lighting were shown to have no effect on high electricity consumption in UK homes. Given the impetus to reduce electricity consumption and CO2 emissions from the domestic sector, these observations can help shape energy saving campaigns and future energy policy

Opportunities and barriers to business engagement in the UK domestic retrofit sector: an industry perspective

This paper investigates the opportunities and barriers to business engagement in the UK domestic retrofit sector. There are approximately 28 million UK dwellings accounting for 30% of UK total energy consumption. Almost all of the existing housing stock will require some form of retrofit in order to meet the UK Government’s Net Zero emissions target by 2050. However, adoption has been much lower than required. Semi-structured interviews were undertaken with industry professionals to investigate the key barriers and opportunities for businesses in the retrofit market. The results suggest that there is significant opportunity for businesses, but engagement has been suppressed by three main categories of barriers: (1) Those that cause lack of consumer demand; (2) Those that constrain retrofit projects, limiting their volume and scalability; (3) Those resulting from a lack of government will or direction. Business opportunity for retrofit was seen to extend globally, with substantial market growth possible. The paper suggests potential roles and solutions key stakeholders could take to achieve the volume of retrofit required. The findings should be of interest to all stakeholders who wish to overcome the multitude of barriers to business engagement in the retrofit sector and realise the potential opportunities. Practical application: This study aims to understand the barriers preventing the large-scale adoption of domestic retrofit in the UK in order to identify avenues for increasing business engagement in the sector. Potential areas believed to present significant opportunity for businesses when engaging in, developing and upscaling the retrofit process and solutions are highlighted. This paper should be of interest to building industry professionals already or wanting to undertake domestic retrofit works in future. The paper also gathers the views of current building industry professionals through semi-structured interviews providing an industry centric assessment of the sector’s challenges and possible solutions

The gap between automated building management system and office occupants' manual window operations: towards personalised algorithms

This paper aims to demonstrate how knowledge acquired from occupants' manual window operations can be implemented into BMS automated window operation algorithms. Ten single-occupant offices were selected in a university building in the UK. More than 28,000 hourly data points on indoor and outdoor temperature and open window area (OWA) were analysed from 2015 to 2020. The BMS had adopted nine different automated window operation algorithms during the 5 years. The automated window algorithms could be manually overridden by the office occupants. Automated algorithms were compared against manual window operations. The results showed that the slope and gradient of the regression lines for occupants' manual window operations are smaller than automated operations. OWA of automated window operations increased 20% per 1 °C increase in indoor temperature, however, occupants opened windows 6–8% per 1 °C increase. Occupants react slower to temperature changes than assumed by BMS, which could be considered in BMS automated window operations

The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings

This paper aims to investigate the socio-economic, dwelling and appliance related factors that have significant or non-significant effects on domestic electricity consumption. To achieve this aim, a comprehensive literature review of international research investigating these factors was undertaken. Although papers examining the factors affecting electricity demand are numerous, to the authors’ knowledge, a comprehensive analysis taking stock of all previous findings has not previously been undertaken. The review establishes that no less than 62 factors potentially have an effect on domestic electricity use. This includes 13 socio-economic factors, 12 dwelling factors and 37 appliance factors. Of the 62 factors, four of the socio-economic factors, seven of the dwelling factors, and nine of the appliance related factors were found to unambiguously have a significant positive effect on electricity use. This paper contributes to a better understanding of those factors that certainly affect electricity consumption and those for which effects are unclear and require further research. Understanding the effects of factors can support both the implementation of effective energy policy and aid prediction of future electricity consumption in the domestic sector

Operations on windows and external doors in UK primary schools and their effects on indoor environmental quality

This study provides a comprehensive analysis of the predictors influencing operations on windows and external doors as well as their impact on IEQ, comfort and energy. The study was carried out in 31 naturally ventilated classrooms in eight primary schools in the UK during non-heating and heating seasons. The state of the windows and external doors was collected by time-lapse cameras and visual observations. Environmental variables impacting window operations were recorded at 10-min intervals. Correlational tests and predictive regression models were used to identify how windows open area (m2) were affected by environmental predictors. Results show that operative and outdoor temperature during the non-heating season and indoor and outdoor humidity during the heating season were the main predictors of windows open area (m2). The main driver for the operation of external doors was occupancy patterns, however, the period that they stayed open was dependent on temperature. The impact of windows and external doors' open area (m2) on operative temperature decreased after 40 min, however, its impact on CO2 level was only noticeable up to 30 min. Through opening more available windows, operative temperature (34% of the time) and CO2 levels (28% of the time) could be reduced during the non-heating season. Furthermore, energy waste could be avoided 67% of the time during the heating season by reducing the set-point temperature and training school occupants on when to operate windows. This study suggests several avenues to improve the impact of controls’ operation on IEQ, comfort and energy

Opinion: applications of and barriers to the use of biomimicry towards a sustainable architectural, engineering and construction industry based on interviews from experts and practitioners in the field

Biomimicry creates designs inspired by nature and uses ecological benchmarks to assess their sustainability. It is believed that biomimicry can help society produce and consume in more sustainable ways, as well as address some of the key challenges facing the world today. However, research into the applications of and possible barriers to using biomimicry for creating more sustainable Architectural, Engineering and Construction (AEC) projects is still limited. This paper addresses this gap by undertaking and analysing twelve semi-structured interviews with leading global experts and practitioners in the field of biomimicry as applied to the built environment industry. The study identifies substantial potential in the use of biomimicry in AEC projects, including the following: adopting circular approaches; enhancing interactions between human and natural infrastructure; optimising material and energy use; recycling and re-use of materials; reducing time and costs; plus more collaborative and interdisciplinary working. However, a wide range of multifaceted barriers also exist that are currently hindering the exploration and exploitation of this potential, including the following: lack of knowledge; insufficient research and testing at the scale of AEC projects; fragmentation, poor communication and traditional nature of the industry; perception of high risks and costs; as well as outdated and unsuitable legislation and planning processes