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Determining heat use in residential buildings using high resolution gas and domestic hot water monitoring

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conference contribution
posted on 2013-09-13, 11:00 authored by Richard BuswellRichard Buswell, Dashamir Marini, Lynda Webb, Murray ThomsonMurray Thomson
Residential buildings consume about a third of the UKs total energy and the need to reduce this as part of achieving the 2050 CO2 emissions targets driving the interest the modelling and performance simulation of homes. While simulation and modelling tools are in wide spread use, the detailed empirical data with which to understand the effect of systems and operational complexities of households on the consumption of energy is less developed than it is for commercial buildings. This paper reports some early results from a whole house monitoring trial in the UK where high resolution measurements of gas, hot water and power are being used to disaggregate heat use. The study has shown that: equipment used for domestic heat generation varies considerably between households; gas demand is highly variable at the sub-hourly level, far greater than some of the available hourly monitored data would suggest; and that the current information on hot water consumption characteristics is poor and so some new, more comprehensive data is presented.


This paper has forms part of the work produced under the LEEDR: Low Effort Energy Demand Reduction Project based at Loughborough University, UK. The work was funded through the TEDDI call managed by the RCUK Digital Economy and Energy programmes [EPSRC Grant Number EP/I000267/1].



  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)


BUSWELL, R.A. ... et al., 2013. Determining heat use in residential buildings using high resolution gas and domestic hot water monitoring. IN: Proceedings of the 13th International Conference of the International Building Performance Simulation Association, Chambery, France, 25-28 August 2013, pp. 2412 - 2419.




  • AM (Accepted Manuscript)

Publication date



This paper was presented at Building Simulation 2013: the 13th Conference of International Building Performance Simulation Association, Chambéry, France, 25-28 August 2013, http://www.bs2013.fr/


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