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Modelling and calibration of a domestic building using high-resolution monitoring data

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conference contribution
posted on 2016-06-15, 10:57 authored by Dashamir Marini, Candy He, Richard BuswellRichard Buswell, Christina Hopfe, Dru Crawley
Reducing energy consumption and managing energy supply/demand responses are key challenges facing the future built environment. The use of de-carbonised electricity to deliver space heating will make significant impact on CO2 emissions for the UK. A likely technology in UK homes is to replace conventional gas boilers with heat pumps. A high coefficient of performance may mean a reduction in energy consumed, in addition the potential to contribute to demand side response through switching controlled via pricing signals. Evaluating the likely energy demand patterns from such systems and understanding how the characteristics of such systems might affect comfort can be estimated using building simulation. This paper describes the modelling and calibration process of an UK family dwelling using high-resolution monitoring data. Monitoring data describing gas, electricity, hot water, window operation and room temperature at minutely interval are used in the process.

Funding

The work was funded through the TEDDI call managed by the RCUK Digital Economy and Energy programmes (EPSRC Grant Number EP/M006735/1).

History

School

  • Architecture, Building and Civil Engineering

Published in

Proceedings of Building Simulation and Optimization: Third Conference of IBPSA-England

Citation

MARINI, D. ... et al., 2016. Modelling and calibration of a domestic building using high-resolution monitoring data. IN: Proceedings of 2016 3rd Conference of IBPSA-England: Building Simulation and Optimization (BSO16), Newcastle, Great Britain, 12-14 September 2016.

Publisher

© International Building Performance Simulation Association (IBPSA)

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016

Publisher version

Language

  • en

Location

Newcastle University

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