An iterative approach for optimal decarbonization of electricity andheat supply systems in the Great Britain

Haghi, Ehsan, Qadrdan, Meysam ORCID: https://orcid.org/0000-0001-6167-2933, Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602, Jenkins, Nicholas ORCID: https://orcid.org/0000-0003-3082-6260, Fowler, Michael and Raahemifar, Kaamran 2020. An iterative approach for optimal decarbonization of electricity andheat supply systems in the Great Britain. Energy 201 , 117611. 10.1016/j.energy.2020.117611

Full text not available from this repository.

Abstract

The electrification of heat supply is a widely discussed strategy for decarbonizing the heat sector in the Great Britain (GB). This impacts the electricity load duration curve and affects the optimal mix of power generation technologies. Additionally, the price of electricity and the emission from the grid determine whether the electrified heat is cost-effective and low carbon. These interdependencies necessitate adopting an integrated approach for long term planning of heat and electricity supplies to ensure cost-effective decarbonization. In this work, we have developed an iterative approach for investigating optimal mix of technologies in electricity and heat sectors considering the interactions between these sectors. This approach was applied to GB as a case study. Firstly, the capacity and operation of various technologies for electricity generation were determined to supply electricity demand (including electricity demand for heating) with a minimum annualized cost. Then, using the levelized cost of electricity calculated in the power generation mix optimization problem, the optimal heat supply mix was determined through the minimization of annualized cost. The iterative optimization of electricity and heat was continued until an equilibrium was achieved. The results were compared with a centralized optimization model that heat and electricity supply problems are solved simultaneously.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	0360-5442
Date of Acceptance:	9 April 2020
Last Modified:	07 Nov 2022 10:11
URI:	https://orca.cardiff.ac.uk/id/eprint/131422

Citation Data

Cited 7 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item