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Modelling of a CHP system with electrical and thermal storage

Modelling of a CHP system with electrical and thermal storage

Abunku, Mbayer and Melis, Wim J.C. ORCID: 0000-0003-3779-8629 (2015) Modelling of a CHP system with electrical and thermal storage. In: 2015 50th International Universities Power Engineering Conference (UPEC). IEEE, pp. 1-5. ISBN 978‐1‐4673‐9682‐0 (doi:

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Decentralised energy generation is increasing in popularity because it provides for higher efficiencies and is consequently more environment friendly than the current centralised solutions. Most of the inefficiencies of centralised power stations lie in the large amount of waste heat. This is largely overcome when using Combined Heat and Power systems where the heat as well as the electrical output is used, but these outputs are generally constant, while any demand would be continuously fluctuating. The only way to deal with this imbalance between supply and demand is through the use of energy storage, and therefore this paper investigates the benefits of combining energy storage systems with a CHP system to determine the potential efficiency improvements from such a combination. A full model of this system, which consisted of several sub-models to deal with the various elements of energy generation and storage was developed in Matlab/Simulink and used for simulation using some real-life demand data. The results show that through the addition of correctly sized thermal and electrical storage to a CHP system, the CHP system is able to run continuously at optimal efficiency.

Item Type: Conference Proceedings
Title of Proceedings: 2015 50th International Universities Power Engineering Conference (UPEC)
Additional Information: 50th International Universities Power Engineering Conference (UPEC 2015), 1-4 September 2015, Staffordshire University, UK.
Uncontrolled Keywords: CHP, Energy storage, Electrical storage, Thermal storage, Energy efficiency
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENN)
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Last Modified: 11 May 2019 15:03
Selected for GREAT 2016: GREAT a
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 2
Selected for REF2021: None

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