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Spatially explicit scenarios for decarbonising heat in domestic buildings

Seward, William, Canet, Alexandre and Qadrdan, Meysam 2020. Spatially explicit scenarios for decarbonising heat in domestic buildings. Presented at: 55th International Universities Power Engineering Conference (UPEC 2020), Virtual - Torino, Italy, 1-4 September 2020. 2020 55th International Universities Power Engineering Conference (UPEC). IEEE, pp. 1-6. 10.1109/UPEC49904.2020.9209775

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Abstract

This paper describes a methodology and assumptions used for developing heat decarbonisation scenarios for domestic buildings in urban settings. Compatibility with the UK net-zero goal and the consideration of local opportunities and practicalities are key features of the scenarios. Three cities in South Wales, namely: Cardiff, Newport and Swansea were chosen as case studies. By reviewing policy documents and white papers and consulting with key stakeholders including energy network companies, we identified three high-level scenarios for decarbonising heat in domestic buildings. These scenarios are: 1) ‘Hydrogen’ in which existing gas networks will be used to supply hydrogen to on-gas grid customers for heating, 2) ‘Electrification’ that assumes various types of heat pumps will provide heating to buildings either directly or through district heating networks, and 3) ‘Hybrid’ which consists of balanced share of various electricity and hydrogen for heating. For each of these high-level scenarios, the feasibility of installing appropriate low-carbon heating technologies in buildings was assessed by accounting for the existing infrastructure and the characteristics of the building stock as well as other relevant local circumstances. This determined the number, type and location of buildings installing a certain type of low-carbon heating technology, and therefore gave essential information to carry out further analysis to quantify the impacts of various scenarios on the electricity and gas/hydrogen networks.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Engineering
Publisher: IEEE
ISBN: 9781728110783
Last Modified: 02 Mar 2021 15:55
URI: http://orca.cf.ac.uk/id/eprint/135256

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