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Authordc.contributor.authorGonzález, José M. 
Authordc.contributor.authorTomlinson, James E. 
Authordc.contributor.authorHarou, Julien J. 
Authordc.contributor.authorMartínez Ceseña, Eduardo A. 
Authordc.contributor.authorPanteli, Mathaios 
Authordc.contributor.authorBottacin-Busolin, Andrea 
Authordc.contributor.authorHurford, Anthony 
Authordc.contributor.authorOlivares Alveal, Marcelo 
Authordc.contributor.authorSiddiqui, Afzal 
Authordc.contributor.authorErfani, Tohid 
Authordc.contributor.authorStrzepek, Kenneth M. 
Authordc.contributor.authorMancarella, Pierluigi 
Authordc.contributor.authorMutale, Joseph 
Authordc.contributor.authorObuobie, Emmanuel 
Authordc.contributor.authorSeid, Abdulkarim H. 
Authordc.contributor.authorYa, Aung Ze 
Admission datedc.date.accessioned2020-07-02T15:10:40Z
Available datedc.date.available2020-07-02T15:10:40Z
Publication datedc.date.issued2020
Cita de ítemdc.identifier.citationApplied Energy 269 (2020) 114794es_ES
Identifierdc.identifier.other10.1016/j.apenergy.2020.114794
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/175753
Abstractdc.description.abstractThe 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.es_ES
Patrocinadordc.description.sponsorship"Future Design and Assessment of water-energy-food-environment Mega Systems" (FutureDAMS) research project ES/P011373/1es_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherElsevieres_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
Sourcedc.sourceApplied Energyes_ES
Keywordsdc.subjectWater-energy system designes_ES
Keywordsdc.subjectMulti-sector benefit distributiones_ES
Keywordsdc.subjectMulti-objective robust optimisation under uncertaintyes_ES
Keywordsdc.subjectMulti-objective evolutionary algorithmses_ES
Títulodc.titleSpatial and sectoral benefit distribution in water-energy system designes_ES
Document typedc.typeArtículo de revistaes_ES
dcterms.accessRightsdcterms.accessRightsAcceso Abierto
Catalogueruchile.catalogadorlajes_ES
Indexationuchile.indexArtículo de publicación ISI
Indexationuchile.indexArtículo de publicación SCOPUS


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile