Open AccessTechno‐economic‐environmental analysis of a smart multi‐energy grid utilising geothermal energy storage for meeting heat demand
Author(s) -
Hosseini Seyed Hamid Reza,
Allahham Adib,
Adams Charlotte
Publication year - 2021
Publication title -
iet smart grid
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.612
H-Index - 11
ISSN - 2515-2947
DOI - 10.1049/stg2.12020
Subject(s) - smart grid , geothermal gradient , geothermal energy , environmental economics , energy storage , thermal energy storage , distributed generation , environmental science , renewable energy , grid , process engineering , wind power , photovoltaics , computer science , engineering , photovoltaic system , electrical engineering , geology , ecology , power (physics) , physics , quantum mechanics , geophysics , economics , biology , geodesy
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.