The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Andy Gouldson - One of the best experts on this subject based on the ideXlab platform.
-
the impacts of household retrofit and Domestic Energy efficiency schemes a large scale ex post evaluation
Energy Policy, 2015Co-Authors: Phil Webber, Andy Gouldson, Niall KerrAbstract:There is widespread interest in the ability of retrofit schemes to shape Domestic Energy use in order to tackle fuel poverty and reduce carbon emissions. Although much has been written on the topic, there have been few large-scale ex post evaluations of the actual impacts of such schemes. We address this by assessing Domestic Energy use before and after the Kirklees Warm Zone (KWZ) scheme, which by fitting insulation in 51,000 homes in the 2007–2010 period is one of the largest retrofit schemes completed in the UK to date. To do this, we develop and apply a new methodology that isolates the impacts of retrofit activity from broader background trends in Energy use. The results suggest that the actual impacts of the KWZ scheme have been higher than predicted, and that the scale of any performance gaps or rebound effects have been lower than has often been assumed. They also suggest that impacts on Energy use in lower income areas are consistent with predictions, but that impacts in middle and higher income areas are higher than predicted. These findings support the case for the wider and/or accelerated adoption of Domestic retrofit schemes in other contexts.
-
unseen influence the role of low carbon retrofit advisers and installers in the adoption and use of Domestic Energy technology
Energy Policy, 2014Co-Authors: Alice Owen, Gordon Mitchell, Andy GouldsonAbstract:Reducing climate changing emissions associated with residential property continues to be a significant challenge. Five case studies of different Domestic Energy technology schemes in England highlight the influence of advisers and installers in householders’ decisions to adopt low carbon technologies. Many of these advisers and installers are micro-enterprises working in connected groups in particular geographic areas. Such micro-enterprises form a large part of the construction sector, but despite the number of enterprises and the potential impact of changes in the behaviour of the sole traders and small firms, there appears to be little policy that specifically targets this group.
-
unseen influence the role of low carbon retrofit advisers and installers in the adoption and use of Domestic Energy technology
Energy Policy, 2014Co-Authors: Alice Owen, Gordon Mitchell, Andy GouldsonAbstract:Abstract Reducing climate changing emissions associated with residential property continues to be a significant challenge. Five case studies of different Domestic Energy technology schemes in England highlight the influence of advisers and installers in householders’ decisions to adopt low carbon technologies. Many of these advisers and installers are micro-enterprises working in connected groups in particular geographic areas. Such micro-enterprises form a large part of the construction sector, but despite the number of enterprises and the potential impact of changes in the behaviour of the sole traders and small firms, there appears to be little policy that specifically targets this group. Data from these case studies is presented and organised into a typological framework, in order to illustrate the range of ways in which the impact of advisers and installers can be modified. Two of the six factors in the typological framework relate to the motivation of installers themselves and how their work is perceived by their clients. By examining these factors in particular, this paper makes a novel contribution to understanding the factors that influence the take up and use of Domestic Energy technologies, leading to the possibility of new policy options or interventions.
Alan Shu Khen Kwan - One of the best experts on this subject based on the ideXlab platform.
-
an investigation into factors influencing Domestic Energy consumption in an Energy subsidized developing economy
Habitat International, 2015Co-Authors: Naief Aldossary, Yacine Rezgui, Alan Shu Khen KwanAbstract:The paper focuses on public perception of sustainable homes in a developing economy, namely Saudi Arabia, known for its high Energy consumption and CO2 emission rates. The research explores (i) public perception and knowledge of sustainable and/or low Energy homes, (ii) Domestic stock typology (including architectural style), (iii) Energy consumption patterns, (iv) levels of satisfaction with Energy (i.e. HVAC) systems, (v) cultural barriers that prevent the delivery of low Energy homes, and (vi) people's acceptance of Energy retrofitting and/or sustainable homes. For this purpose, a comprehensive survey (n = 622) was conducted across the country. The findings reveal limited public awareness as well as important socio-cultural barriers to the delivery of sustainable homes, and large scale Energy retrofitting of the existing Domestic stock.
-
Domestic Energy consumption patterns in a hot and humid climate a multiple case study analysis
Applied Energy, 2014Co-Authors: Naief Aldossary, Yacine Rezgui, Alan Shu Khen KwanAbstract:The paper analyses and discusses Domestic Energy consumption patterns in the city of Jeddah characterized by its hot and humid climate and its geographical location in a global region renowned for its high Energy consumption and carbon emission rates. The selected case studies involve three typical houses and three typical flats with the objective of analysing their average Domestic Energy consumption based on (a) monthly electricity bills, (b) user behaviour captured through interviews with the selected properties’ occupants, and (c) detailed Energy modelling and simulation using IES-VE software. Resulting high Energy consumption patterns are then discussed focussing on building design (form and fabric) and user behaviour. Based on the identified design weaknesses, regionally replicable Energy retrofitting solutions (including, shading devices, Domestic renewable Energy sources, and efficient glazing) are explored and simulated in IES-VE suggesting an Energy consumption reduction in a range from 21% to 37%. Regionally replicable recommendations are then proposed.
-
Domestic Energy consumption patterns in a hot and humid climate a multiple case study analysis
Applied Energy, 2014Co-Authors: Naief Aldossary, Yacine Rezgui, Alan Shu Khen KwanAbstract:The paper evaluates Domestic Energy consumption patterns in a hot and arid climate, using a multiple case study approach localised in Riyadh city (Saudi Arabia). Riyadh has a characteristically hot and dry climate, and is situated in a geographical region known for its high Energy consumption and carbon emission rates. Six properties were selected: three typical houses and three typical flats. The objective is to analyse the average Domestic Energy consumption of each property using data collected from monthly electricity bills; this usage is then assessed with reference to user behaviour, as captured through interviews with the occupiers of the properties, so as to assist in creating a detailed Energy use simulation model using IES-VE software. The results are discussed with reference to both the form and fabric of the selected properties and user behaviour, thereby identifying obvious design weaknesses, which then serve to highlight regionally replicable Energy retrofitting solutions (i.e. shading devices, onsite renewable Energy sources, and more efficient glazing). To explore these various solutions further, additional IES-VE simulations are conducted that suggest potential Energy consumption reductions in the range of 15%–34%. In light of these findings, recommendations that have the potential to be replicable across the region are given.
Naief Aldossary - One of the best experts on this subject based on the ideXlab platform.
-
an investigation into factors influencing Domestic Energy consumption in an Energy subsidized developing economy
Habitat International, 2015Co-Authors: Naief Aldossary, Yacine Rezgui, Alan Shu Khen KwanAbstract:The paper focuses on public perception of sustainable homes in a developing economy, namely Saudi Arabia, known for its high Energy consumption and CO2 emission rates. The research explores (i) public perception and knowledge of sustainable and/or low Energy homes, (ii) Domestic stock typology (including architectural style), (iii) Energy consumption patterns, (iv) levels of satisfaction with Energy (i.e. HVAC) systems, (v) cultural barriers that prevent the delivery of low Energy homes, and (vi) people's acceptance of Energy retrofitting and/or sustainable homes. For this purpose, a comprehensive survey (n = 622) was conducted across the country. The findings reveal limited public awareness as well as important socio-cultural barriers to the delivery of sustainable homes, and large scale Energy retrofitting of the existing Domestic stock.
-
Domestic Energy consumption patterns in a hot and humid climate a multiple case study analysis
Applied Energy, 2014Co-Authors: Naief Aldossary, Yacine Rezgui, Alan Shu Khen KwanAbstract:The paper analyses and discusses Domestic Energy consumption patterns in the city of Jeddah characterized by its hot and humid climate and its geographical location in a global region renowned for its high Energy consumption and carbon emission rates. The selected case studies involve three typical houses and three typical flats with the objective of analysing their average Domestic Energy consumption based on (a) monthly electricity bills, (b) user behaviour captured through interviews with the selected properties’ occupants, and (c) detailed Energy modelling and simulation using IES-VE software. Resulting high Energy consumption patterns are then discussed focussing on building design (form and fabric) and user behaviour. Based on the identified design weaknesses, regionally replicable Energy retrofitting solutions (including, shading devices, Domestic renewable Energy sources, and efficient glazing) are explored and simulated in IES-VE suggesting an Energy consumption reduction in a range from 21% to 37%. Regionally replicable recommendations are then proposed.
-
Domestic Energy consumption patterns in a hot and humid climate a multiple case study analysis
Applied Energy, 2014Co-Authors: Naief Aldossary, Yacine Rezgui, Alan Shu Khen KwanAbstract:The paper evaluates Domestic Energy consumption patterns in a hot and arid climate, using a multiple case study approach localised in Riyadh city (Saudi Arabia). Riyadh has a characteristically hot and dry climate, and is situated in a geographical region known for its high Energy consumption and carbon emission rates. Six properties were selected: three typical houses and three typical flats. The objective is to analyse the average Domestic Energy consumption of each property using data collected from monthly electricity bills; this usage is then assessed with reference to user behaviour, as captured through interviews with the occupiers of the properties, so as to assist in creating a detailed Energy use simulation model using IES-VE software. The results are discussed with reference to both the form and fabric of the selected properties and user behaviour, thereby identifying obvious design weaknesses, which then serve to highlight regionally replicable Energy retrofitting solutions (i.e. shading devices, onsite renewable Energy sources, and more efficient glazing). To explore these various solutions further, additional IES-VE simulations are conducted that suggest potential Energy consumption reductions in the range of 15%–34%. In light of these findings, recommendations that have the potential to be replicable across the region are given.
George Dimitrakopoulos - One of the best experts on this subject based on the ideXlab platform.
-
achieving Domestic Energy efficiency using micro moments and intelligent recommendations
IEEE Access, 2020Co-Authors: Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Christos Sardianos, Iraklis Varlamis, Yassine Himeur, George DimitrakopoulosAbstract:Excessive Domestic Energy usage is an impediment towards Energy efficiency. Developing countries are expected to witness an unprecedented rise in Domestic electricity in the forthcoming decades. A large amount of research has been directed towards behavioral change for Energy efficiency. Thus, it is prudent to develop an intelligent system that combines the proper use of technology with behavior change research in order to sustainably transform end-user behavior at a large scale. This paper presents an overview of our AI-based Energy efficiency framework for Domestic applications and explains how micro-moments can provide an accurate understanding of user behavior and lead to more effective recommendations. Micro-moments are short-term events at which an Energy-saving recommendation is presented to the consumer. They are detected using a variety of sensing modules placed at prominent locations in the household. A supervised machine learning classifier is then used to analyze the acquired micro-moments, identify abnormalities, and formulate a list of Energy-saving recommendations. Each recommendation is presented through the end-user mobile application. The results so far include a mobile application in the front-end and a set of sensing modules in the backend that comprise, an ensemble bagging-trees micro-moment classifier (achieving up to 99.64% accuracy and 98.8% F-score), and a recommendation engine.
-
endorsing Domestic Energy saving behavior using micro moment classification
Applied Energy, 2019Co-Authors: Abdullah Alsalemi, Mona Ramadan, Faycal Bensaali, Abbes Amira, Christos Sardianos, Iraklis Varlamis, George DimitrakopoulosAbstract:Abstract With the ever-growing rise of Energy consumption and its devastating financial and environmental repercussions, it is of utmost significance to moderate Energy usage with proper Energy efficiency tools. This is particularly applicable to Domestic Energy end-users, where an accurate profile is a prerequisite for motivating Energy saving behavior. This article presents an innovative method for accurately understanding Domestic Energy usage patterns through a classification system. It capitalizes on the emerging concept of micro-moments, short Energy-related events, and builds a comprehensive profile of end-user’s Energy activities with unprecedented accuracy. Micro-moments are classified based on a set of criteria per the given appliance. Five classifiers with different parameter settings were trained and tested on 10-fold cross-validated simulated data, with ensemble bagged trees topping with an accuracy of 88.0%. We also observed that linear classifiers lack in accuracy due to their inability to capture the dataset’s specific structure and patterns. Fused with the other components of our framework, the proposed classification system is a novel contribution to Domestic Energy profiling in an effort to step Energy efficiency up to the next level.
-
boosting Domestic Energy efficiency through accurate consumption data collection
Ubiquitous Intelligence and Computing, 2019Co-Authors: Abdullah Alsalemi, Mona Ramadan, Faycal Bensaali, Abbes Amira, Christos Sardianos, Iraklis Varlamis, George DimitrakopoulosAbstract:Domestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster Energy efficient behavior. The most important step in the process is the collection and management of comprehensive data on end-user power consumption behavior. This paper presents an appliance-based Energy data collection system for Domestic households. It revolves around the concept of micro-moments, which are short-timed and Energy-based events that form the overall Energy behavior of the end-user. The system comprises sensing modules for recording Energy consumption, occupancy, temperature, humidity, and luminosity storing recordings on a database server. Sensing parameters were tested in terms of connection stability and measurement accuracy. High stability and accuracy benchmarks have been reached with future work focused on deploying the system for multi-users in addition to enhancing overall data security and integrity.
Fateh Belaid - One of the best experts on this subject based on the ideXlab platform.
-
the determinants of Domestic Energy consumption in france Energy modes habitat households and life cycles
Renewable & Sustainable Energy Reviews, 2018Co-Authors: Jeanpierre Levy, Fateh BelaidAbstract:This article explores the question of Domestic Energy consumption. It concentrates on the example of France and using micro-data from the 2002 and 2006 National Housing Surveys conducted by INSEE (National Institute of Statistics and Economic Studies). The empirical analysis is divided into three stages: the first verifies the correspondences between modes of Energy consumption, household profiles and housing profiles, in order to classify consumer mode types; the second looks at the stabilities and variations over time of each of these types; the last seeks to identify the causes of these changes. The findings reveal sharp divergences between the factors affecting global consumption, consumption per m2 and per person. These variations can be explained by the impact of the demographic characteristics of households, residential mobility and life cycles. Therefore, these findings demonstrate the flexibility over time of Domestic Energy consumption, which is still too often approached as a static variable solely associated with building characteristics. They need to be taken further through a longitudinal and multidisciplinary approach to Energy consumption patterns.
-
understanding the spectrum of Domestic Energy consumption empirical evidence from france
Energy Policy, 2016Co-Authors: Fateh BelaidAbstract:Abstract This article focuses on residential Energy consumption in France. Using a bottom-up statistical approach, this analysis explores determinants of household Energy consumption using data from the most recent National Housing Survey. The primary objective is to tease out the impacts of various factors on the Domestic Energy consumption spectrum across different population groups. The aim of this approach is to neutralize conventional factors affecting Energy consumption (age of house, total area, etc.) to finely analyze the impact of other determinants including those relating to household characteristics and other control variables. First, we define homogeneous consumption groups of households by using multivariate statistical techniques, namely the Multiple Correspondence Analysis and Ascending Hierarchical Classification. Second, we use standard OLS regression to explore the effects of various factors on Domestic Energy consumption among homogeneous groups of households. This multivariate analysis exercise has led us to identify four main consumption typologies. Results revealed that Energy prices were the most important factors determining Domestic Energy consumption. In addition, this study showed that occupant characteristics significantly affect Domestic Energy use. Results of this research call for combine all efforts, multiple strategies and smart policies, to incorporate household and consumption behaviors in managing Domestic Energy consumption.