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Uncertainty Analysis of The Impact of Increasing Levels of Gas and Electricity Network Integration and Storage on Techno-Economic-Environmental Performance

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.

Publication metadata

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


DOI: 10.1016/


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