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Optimal planning and operation of multi-vector energy networks: A systematic review

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 provides a systematic review of recent publications on simulation and analysis of integrated multi- vector energy networks (rather than energy hubs) and carries this out through the lens of energy trilemma. This review is essential for energy research community to move forward in effective manner toward 2050 net zero carbon targets. This paper presents a holistic view of state-of-the-art of research in this field and identifies gaps in knowledge which should be addressed by future research urgently. Furthermore, this paper introduces a taxonomy of energy networks analysis, offering a unified description of findings of relatively large number of publications devoted to the subject. Moreover, this work analyses and classifies current research trends in the field of analysis of energy networks integration, and also identifies future trends in this field. This review serves as a guide to researchers regarding the main findings of energy networks integration evaluated through the lens of energy trilemma. The reviewed papers have been classified into three groups: (i) Operational analysis; (ii) Optimal dispatch; and (iii) Optimal planning. The focus of the paper is energy networks, since they play fundamental role in integrated energy systems and there is a lack of understanding of interactions and interdependencies between multi-vector networks. Also, focus of this paper has been on key findings of published research rather than details of individual energy models. The paper provides useful insights for energy research community by presenting several novel ideas for future research and facilitating the path to a decarbonised economy, due to the fulfilled comprehensive systematic review

Publication metadata

Author(s): Hosseini H, Allahham A, Walker S, Taylor P

Publication type: Article

Publication status: Published

Journal: Renewable and Sustainable Energy Reviews

Year: 2020

Volume: 133

Print publication date: 01/11/2020

Online publication date: 14/09/2020

Acceptance date: 04/08/2020

Date deposited: 24/11/2020

ISSN (print): 1364-0321

Publisher: Elsevier


DOI: 10.1016/j.rser.2020.110216


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