Techno‐economic‐environmental analysis of a smart multi‐energy grid utilising geothermal energy storage for meeting heat demand
Abstract This study presents an evaluation framework for the techno‐economic‐environmental (TEE) performance of the 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 cr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-04-01
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| Series: | IET Smart Grid |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/stg2.12020 |
| _version_ | 1811189059316350976 |
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| author | Seyed Hamid Reza Hosseini Adib Allahham Charlotte Adams |
| author_facet | Seyed Hamid Reza Hosseini Adib Allahham Charlotte Adams |
| author_sort | Seyed Hamid Reza Hosseini |
| collection | DOAJ |
| description | Abstract This study presents an evaluation framework for the techno‐economic‐environmental (TEE) performance of the 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 the heat load of smart multi‐energy grids. The two most common types of GES, that is, 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 Photovoltaics (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 high penetration of heat pumps and from LTGES, respectively. |
| first_indexed | 2024-04-11T14:29:29Z |
| format | Article |
| id | doaj.art-1e606cf19d044db285955be08bb94a2a |
| institution | Directory Open Access Journal |
| issn | 2515-2947 |
| language | English |
| last_indexed | 2024-04-11T14:29:29Z |
| publishDate | 2021-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Grid |
| spelling | doaj.art-1e606cf19d044db285955be08bb94a2a2022-12-22T04:18:42ZengWileyIET Smart Grid2515-29472021-04-014222424010.1049/stg2.12020Techno‐economic‐environmental analysis of a smart multi‐energy grid utilising geothermal energy storage for meeting heat demandSeyed Hamid Reza Hosseini0Adib Allahham1Charlotte Adams2School of Engineering Newcastle, University Newcastle upon Tyne NE1 7RU UKSchool of Engineering Newcastle, University Newcastle upon Tyne NE1 7RU UKDepartment of Earth Sciences Durham University Durham DH1 3LE UKAbstract This study presents an evaluation framework for the techno‐economic‐environmental (TEE) performance of the 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 the heat load of smart multi‐energy grids. The two most common types of GES, that is, 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 Photovoltaics (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 high penetration of heat pumps and from LTGES, respectively.https://doi.org/10.1049/stg2.12020cogenerationdemand side managementenergy conservationenvironmental economicsgeothermal powerheat pumps |
| spellingShingle | Seyed Hamid Reza Hosseini Adib Allahham Charlotte Adams Techno‐economic‐environmental analysis of a smart multi‐energy grid utilising geothermal energy storage for meeting heat demand IET Smart Grid cogeneration demand side management energy conservation environmental economics geothermal power heat pumps |
| title | Techno‐economic‐environmental analysis of a smart multi‐energy grid utilising geothermal energy storage for meeting heat demand |
| title_full | Techno‐economic‐environmental analysis of a smart multi‐energy grid utilising geothermal energy storage for meeting heat demand |
| title_fullStr | Techno‐economic‐environmental analysis of a smart multi‐energy grid utilising geothermal energy storage for meeting heat demand |
| title_full_unstemmed | Techno‐economic‐environmental analysis of a smart multi‐energy grid utilising geothermal energy storage for meeting heat demand |
| title_short | Techno‐economic‐environmental analysis of a smart multi‐energy grid utilising geothermal energy storage for meeting heat demand |
| title_sort | techno economic environmental analysis of a smart multi energy grid utilising geothermal energy storage for meeting heat demand |
| topic | cogeneration demand side management energy conservation environmental economics geothermal power heat pumps |
| url | https://doi.org/10.1049/stg2.12020 |
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