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Techno-Economic-Environmental Analysis of A Smart Multi Energy Grid Utilising Geothermal Energy Storage For Meeting Heat Demand

Lookup NU author(s): Dr Hamid Hosseini, Dr Adib Allahham

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

This paper presents an evaluation framework for the Techno-Economic-Environmental (TEE) performance of Integrated Multi-Vector Energy Networks (IMVENs) including geothermal energy. Geothermal Energy Storage (GES), offers huge potential for both energy storage and supply and can play a critical role in decarbonising heat load of Smart Multi Energy Grids. The two most common types of GES, i.e. High Temperature GES (HTGES) and Low Temperature GES (LTGES), were modelled and integrated within the framework. This framework evaluates the impact of different low carbon energy sources including HTGES, LTGES, wind and PV on the amount of energy imported from upstream, operational costs and emissions of IMVENs to meet the heat load of a region. The evaluation framework performs TEE performance analysis of any configuration of IMVEN representing future energy system pathways to provide a basis for well-informed design choices to decarbonise heat. The TEE evaluation framework was tested on a real-world case study, and several IMVEN configurations were designed and analysed. The results reveal that the most efficient, cost effective and least carbon intensive configurations for meeting the heat load of the case study are the configurations benefitting from HTGES, from a high penetration of heat pumps and from LTGES, respectively.


Publication metadata

Author(s): Hosseini SHR, Allahham A, Adams C

Publication type: Article

Publication status: Published

Journal: IET Smart Grid

Year: 2021

Volume: 4

Issue: 2

Pages: 224-240

Print publication date: 01/04/2021

Online publication date: 15/03/2021

Acceptance date: 29/01/2021

Date deposited: 29/01/2021

ISSN (electronic): 2515-2947

Publisher: IET

URL: https://doi.org/10.1049/stg2.12020

DOI: 10.1049/stg2.12020


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Funding

Funder referenceFunder name
EP/P01173/1

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