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Solar thermal collector component for high-resolution stochastic bottom-up domestic energy demand models

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conference contribution
posted on 29.10.2015, 11:07 by Paul Henshall, Eoghan McKenna, Murray ThomsonMurray Thomson, Philip EamesPhilip Eames
High-resolution stochastic ‘bottom-up’ domestic energy demand models can be used to assess the impact of lowcarbon technologies, and can underpin energy analyses of aggregations of dwellings. The domestic electricity demand model developed by Loughborough University has these features and accounts for lighting, appliance usage, and photovoltaic micro-generation. Work is underway at Loughborough to extend the existing model intoan integrated thermal-electrical domestic demand model that can provide a suitable basis for modelling the impact of low-carbon heating technologies. This paper describes the development of one of the new components of the integrated model: a solar thermal collector model that provides domestic hot water to the dwelling. The paper describes the overall architecture of the solar thermal model and how it integrates with the broader thermal model, and includes a description of the control logic and thermal-electrical equivalent network used to model the solar collector heat output.


This project was supported by the Engineering and Physical Science Research Council within the High Performance Vacuum Flat Plate Solar Thermal Collector for Hot Water and Process Heat project (EP/K009230/1) and the Transformation of the Top and Tail of Energy Networks project (EP/I031707/1).



  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Published in

Sustainable Energy Technology Conference 2015


HENSHALL, P. al., 2015. Solar thermal collector component for high-resolution stochastic bottom-up domestic energy demand models. IN: Rodrigues, L. (ed.), Sustainable Energy for a Resilient Future: Proceedings of the 14th International Conference on Sustainable Energy Technologies, 25-27 August 2015, Nottingham, UK. University of Nottingham: Architecture, Energy & Environment Research Group. Volume 2, pp.214-222 [Available from:; last access date 01/08/2017].


© University of Nottingham & WSSET


AM (Accepted Manuscript)

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