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Estimating the potential reductions in energy demand through efficiency, control and lifestyle change in a real home

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conference contribution
posted on 2013-09-18, 09:29 authored by Paula Cosar-Jorda, Richard BuswellRichard Buswell, Val MitchellVal Mitchell
In order for the UK to generate pathways to help deliver the near and long term CO2 reduction targets set by the Committee on Climate Change, a number of future scenarios were generated to simulate consumer responses to energy price changes based on economic background, developments in technology, fuel price and other assumptions. The overall carbon reductions anticipated by these scenarios lie between 40% and 90% by 2050, the domestic sector is expected to reduce emissions by 31% by 2020 and 60% by 2050. The question is how the residential sector will respond to the anticipated changes to the supply and demand for energy. There will be potential future CO2 reductions through the introduction of more efficient appliances and the implementation of more advanced heating controls, enabled through ICT 1. What is less clear is how far the benefits of efficiency and control will get us to these goals and to what degree people will have to make changes to their chosen way of living in the home. In this paper we ask, whether the answer to significant reduction in energy consumption lies with the acquisition of equipment, or the adaptation of family life. The approach has been to take whole house energy data from a real family home in 2013 and place it in three possible landscapes that look towards 2050. This model simulates energy consumption in 2050 by applying potential interventions to determine the effects of efficiency, control and more sustainable lifestyles.

History

School

  • Architecture, Building and Civil Engineering

Citation

COSAR-JORDA, P., BUSWELL, R.A. and MITCHELL, V., 2013. Estimating the potential reductions in energy demand through efficiency, control and lifestyle change in a real home. IN: Proceedings of FutureBuild, Bath University, 4-6 September 2013, pp. 135 - 144.

Publisher

© University of Bath

Version

  • AM (Accepted Manuscript)

Publication date

2013

Notes

This is a conference paper.

Language

  • en