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A multi-zone, fast solving, rapidly reconfigurable building and electrified heating system model for generation of control dependent heat pump power demand profiles

Lookup NU author(s): Dr Mohammad Royapoor



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


© 2021 The AuthorsThe electrification of heating is expected to grow in the UK domestic sector, and this has increased interest in the effects that this may have on low and high voltage network operation. However, Electrified heating profiles that alter with control decisions can only be obtained from dedicated building modelling that energy system modellers do not usually have the expertise to perform, yet these are required for meaningful studies. This work outlines a novel method for modelling air source and ground source heat pump power demand profiles using a multi-zone physics based building modelling framework with building fabric, thermohydraulic, and air flow subsystems. The novel setup framework allows detailed building layout, fabric and control properties to be assigned by analysts with no prior building modelling expertise. Once fully assigned, the building model can be used to generate heat pump power demand profiles at sub minute resolution. Upon testing, a single daily run of the model could be executed in 17 s. The model was then validated against real life test house data, under various control and weather conditions. A small relative error (typically within 10%) was observed between modelled and actual cycle lengths, and modelled and actual heat and electricity demands. Due to its rapid solution rate, the model is of significant value to energy efficiency and distribution network studies, where large demand profile sets that are sensitive to detailed retrofit and control considerations are often essential. The model has been made openly available.

Publication metadata

Author(s): Johnson RC, Royapoor M, Mayfield M

Publication type: Article

Publication status: Published

Journal: Applied Energy

Year: 2021

Volume: 304

Print publication date: 15/12/2021

Online publication date: 06/09/2021

Acceptance date: 18/08/2021

Date deposited: 20/09/2021

ISSN (print): 0306-2619

ISSN (electronic): 1872-9118

Publisher: Elsevier Ltd


DOI: 10.1016/j.apenergy.2021.117663


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