eprintid: 10097813
rev_number: 24
eprint_status: archive
userid: 608
dir: disk0/10/09/78/13
datestamp: 2020-05-20 13:49:34
lastmod: 2021-09-26 23:21:07
status_changed: 2020-05-20 13:49:34
type: article
metadata_visibility: show
creators_name: Gonzalez, JM
creators_name: Tomlinson, JE
creators_name: Harou, JJ
creators_name: Martínez Ceseña, EA
creators_name: Panteli, M
creators_name: Bottacin-Busolin, A
creators_name: Hurford, A
creators_name: Olivares, MA
creators_name: Siddiqui, A
creators_name: Erfani, T
creators_name: Strzepek, KM
creators_name: Mancarella, P
creators_name: Mutale, J
creators_name: Obuobie, E
creators_name: Seid, AH
creators_name: Ya, AZ
title: Spatial and sectoral benefit distribution in water-energy system design
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F44
divisions: C06
divisions: F61
keywords: Water-energy system design, Multi-sector benefit distribution, Multi-objective robust optimisation under uncertainty, Multi-objective evolutionary algorithms
note: © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/).
abstract: The design of water and energy systems has traditionally been done independently or considering simplified interdependencies between the two systems. This potentially misses valuable synergies between them and does not consider in detail the distribution of benefits between different sectors or regions. This paper presents a framework to couple integrated water-power network simulators with multi-objective optimisation under uncertainty to explore the implications of explicitly including spatial topology and interdependencies in the design of multi-sector integrated systems. A synthetic case study that incorporates sectoral dependencies in resource allocation, operation of multi-purpose reservoirs and spatially distributed infrastructure selection in both systems is used. The importance of explicitly modelling the distribution of benefits across different sectors and regions is explored by comparing different spatially aggregated and disaggregated multi-objective optimisation formulations. The results show the disaggregated formulation identifies a diverse set of non-dominated portfolios that enables addressing the spatial and sectoral distribution of benefits, whilst the aggregated formulations arbitrarily induce unintended biases. The proposed disaggregated approach allows for detailed spatial design of interlinked water and energy systems considering their complex regional and sectoral trade-offs. The framework is intended to assist planners in real resource systems where diverse stakeholder groups are mindful of receiving their fair share of development benefits.
date: 2020-07
date_type: published
publisher: Elsevier BV
official_url: https://doi.org/10.1016/j.apenergy.2020.114794
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1782733
doi: 10.1016/j.apenergy.2020.114794
lyricists_name: Erfani, Tohid
lyricists_name: Siddiqui, Afzal
lyricists_id: TERFA00
lyricists_id: ASIDD11
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: Applied Energy
volume: 269
article_number: 114794
issn: 0306-2619
citation:        Gonzalez, JM;    Tomlinson, JE;    Harou, JJ;    Martínez Ceseña, EA;    Panteli, M;    Bottacin-Busolin, A;    Hurford, A;                                     ... Ya, AZ; + view all <#>        Gonzalez, JM;  Tomlinson, JE;  Harou, JJ;  Martínez Ceseña, EA;  Panteli, M;  Bottacin-Busolin, A;  Hurford, A;  Olivares, MA;  Siddiqui, A;  Erfani, T;  Strzepek, KM;  Mancarella, P;  Mutale, J;  Obuobie, E;  Seid, AH;  Ya, AZ;   - view fewer <#>    (2020)    Spatial and sectoral benefit distribution in water-energy system design.                   Applied Energy , 269     , Article 114794.  10.1016/j.apenergy.2020.114794 <https://doi.org/10.1016/j.apenergy.2020.114794>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10097813/3/1-s2.0-S0306261920303068-main.pdf