An investigation into energy consumption behaviour and lifestyles in UK homes: Developing a smart application as a tool for reducing home energy use

Book chapter


Shi, W., Elsharkawy, Heba and Abdalla, H. 2017. An investigation into energy consumption behaviour and lifestyles in UK homes: Developing a smart application as a tool for reducing home energy use. in: Brotas, Luisa, Roaf, Susan and Nicol, Fergus (ed.) Design to Thrive: Proceedings of the 33rd PLEA International Conference 2017 NCEUB.
AuthorsShi, W., Elsharkawy, Heba and Abdalla, H.
EditorsBrotas, Luisa, Roaf, Susan and Nicol, Fergus
Abstract

The research asserts that several domestic retrofit programmes in the UK have not achieved the expected levels of energy saving. Energy consumption is not only reliant on physical characteristics of buildings, but also on the consideration of socio-cultural and economic factors. One of the issues is that the predicted home energy use does not reflect the actual energy consumed – a phenomena acknowledged as the ‘Building Performance Gap’. This research examines the factors that impact on domestic energy performance in response to this phenomenon. It adopts a concurrent mixed-method research design where the research method is primarily questionnaires to understand occupants’ energy consumption behaviour and lifestyle and develop a viable methodology to improve this. The solution could be the development of a smart application that addresses most energy consumption habits and behaviours connected to smart meters. As a result, occupants will be advised in real-time with appropriate energy-related behaviours if inefficient energy consumption is detected. Besides, the application will also comprise of a simplified Building Energy Simulation (BES) interface to provide building energy simulation results and evaluation. It is believed that this tool could potentially increase occupants’ awareness of energy consumption behaviour and reduce the Building Performance Gap.

Book titleDesign to Thrive: Proceedings of the 33rd PLEA International Conference 2017
Year2017
PublisherNCEUB
Publication dates
PrintJul 2017
Publication process dates
Deposited11 Oct 2017
EventPLEA 2017
ISBN978-0-9928957-5-4
Web address (URL)https://plea2017.net/wp-content/themes/plea2017/docs/PLEA2017_proceedings_volume_I.pdf
Journal citation1, pp. 859-866
Accepted author manuscript
Permalink -

https://repository.uel.ac.uk/item/84v37

  • 8
    total views
  • 4
    total downloads
  • 1
    views this month
  • 1
    downloads this month

Related outputs

A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images
Van Druten, J., Sharif, S., Chan, S. S., Chong, C. and Abdalla, H. 2019. A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images. in: Proceedings: 2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE.
The Importance of Occupancy and Energy Use Patterns on Predicting Building Energy Performance: a case study of a residential building in London
Zahiri, Sahar, Elsharkawy, H. and Shi, W. 2018. The Importance of Occupancy and Energy Use Patterns on Predicting Building Energy Performance: a case study of a residential building in London. in: Proceedings of the 4th IBPSA-England Conference on Building Simulation and Optimization IBPSA: Internationl Building Performance Simulation Association. pp. 665-671
A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis
van Druten, Jacqueline, Sharif, M., Khashu, Minesh and Abdalla, H. 2019. A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis. in: Miraz, Mahdi H., Exce, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE. pp. 101-106
Neural Predictors of Gait Stability When Walking Freely in the Real-World.
Pizzamiglio, S., Abdalla, H., Naeem, U. and Turner, D. 2018. Neural Predictors of Gait Stability When Walking Freely in the Real-World. Journal of NeuroEngineering and Rehabilitation. 15 (11).
An Investigation into Energy Consumption Behaviour and Lifestyles in UK Social Housing: Reducing Operational Energy Post Retrofit
Shi, W. 2018. An Investigation into Energy Consumption Behaviour and Lifestyles in UK Social Housing: Reducing Operational Energy Post Retrofit. PhD Thesis University of East London School of Architecture, Computing and Engineering
Energy Saving of the Domestic Housing Stocks: Application Development as a Plug-In for Energy Simulation Software
Shi, W., Abdalla, H., Elsharkawy, Heba and Chandler, A. 2017. Energy Saving of the Domestic Housing Stocks: Application Development as a Plug-In for Energy Simulation Software. International Journal of Parallel, Emergent and Distributed Systems. 32 (Sup 1), pp. S114-S132.
Investigation Into ERP-Based Symbiotic Simulation Project Implentation On Ford Engine Production Line: Challenges, Opportunities and Prospects
Chiroma, Emmanuel, Ladbrook, John and Abdalla, H. 2016. Investigation Into ERP-Based Symbiotic Simulation Project Implentation On Ford Engine Production Line: Challenges, Opportunities and Prospects. in: Bruzzone, Agostino G., De Felice, Fabio, Frydman, Claudia, Massei, Marina, Merkuryev, Yuri and Solis, Adriano (ed.) Proceedings of the International Conference on Modelling and Applied Simulation 2016 DIME Università Di Genova. pp. 57-64
A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing
Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96.
Neural correlates of single- and dual-task walking in the real world
Pizzamiglio, Sara, Naeem, U., Abdalla, H. and Turner, D. 2017. Neural correlates of single- and dual-task walking in the real world. Frontiers in Human Neuroscience. 11, p. Art 460.
A Cost Effective and Light Weight Unipolar Electroadhesion Pad Technology for Adhesion Mechanism of Wall Climbing Robot
Yehya, Muhammd Irshad, Hussain, Salman, Wasim, Ahmad, Jahanza, Mirza and Abdalla, H. 2016. A Cost Effective and Light Weight Unipolar Electroadhesion Pad Technology for Adhesion Mechanism of Wall Climbing Robot. International Journal of Robotics and Mechatronics. 2 (1), pp. 1-10.
Predicting the tensile strength, impact toughness, and hardness of friction stir-welded AA6061-T6 using response surface methodology
Safeen, Wasif, Hussain, Salman, Wasim, Ahmad, Jahanzaib, Mirza, Aziz, Haris and Abdalla, H. 2016. Predicting the tensile strength, impact toughness, and hardness of friction stir-welded AA6061-T6 using response surface methodology. The International Journal of Advanced Manufacturing Technology. 87 (5-8), pp. 1765-1781.