Browse by author
Lookup NU author(s): Dr Hamid Hosseini, Dr Adib Allahham, Professor Sara Walker, Professor Phil Taylor
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
This paper presents an evaluation framework for Techno-Economic-Environmental (TEE) impact ofdifferent networks integration levels and storage devices on performance of Integrated Gas and ElectricityNetworks (IGENs). Probabilistic distributions for modelling sources of uncertainty (loads, RenewableEnergy Sources (RESs), economic and environmental analysis) were sampled through Monte CarloSimulation. The framework performs the TEE operational analysis of IGENs for future possible scenariosfor different technology development status and different levels of load and RESs. Then, it calculates theenergy imported from upstream networks, operational costs, and emissions. In this way, the frameworkprovides a basis for making well-informed and risk-based decisions of design choices for meeting 2050carbon targets in the presence of aforementioned sources of uncertainty. Analysis of the results of applicationof the framework to a real-world case study shows that as the electrical renewable generation grows withrespect to the total demand, the value of integrated operation of the networks also grows as shown by thereduction in the TEE parameters. Given that demand reduction and decarbonisation of electricity and gasnetworks is a priority, the coupled configurations are likely to become more attractive between now and2050, in the presence of the considered sources of uncertainty.
Author(s): Hosseini SHR, Allahham A, Walker SL, Taylor P
Publication type: Article
Publication status: Published
Journal: Energy
Year: 2021
Volume: 222
Print publication date: 01/05/2021
Online publication date: 30/01/2021
Acceptance date: 23/01/2021
Date deposited: 29/01/2021
ISSN (electronic): 1873-6785
Publisher: Elsevier
URL: https://doi.org/10.1016/j.energy.2021.119968
DOI: 10.1016/j.energy.2021.119968
Altmetrics provided by Altmetric
