dc.creatorGonzález, José M.
dc.creatorTomlinson, James E.
dc.creatorHarou, Julien J.
dc.creatorMartínez Ceseña, Eduardo A.
dc.creatorPanteli, Mathaios
dc.creatorBottacin-Busolin, Andrea
dc.creatorHurford, Anthony
dc.creatorOlivares Alveal, Marcelo
dc.creatorSiddiqui, Afzal
dc.creatorErfani, Tohid
dc.creatorStrzepek, Kenneth M.
dc.creatorMancarella, Pierluigi
dc.creatorMutale, Joseph
dc.creatorObuobie, Emmanuel
dc.creatorSeid, Abdulkarim H.
dc.creatorYa, Aung Ze
dc.date.accessioned2020-07-02T15:10:40Z
dc.date.available2020-07-02T15:10:40Z
dc.date.created2020-07-02T15:10:40Z
dc.date.issued2020
dc.identifierApplied Energy 269 (2020) 114794
dc.identifier10.1016/j.apenergy.2020.114794
dc.identifierhttps://repositorio.uchile.cl/handle/2250/175753
dc.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.
dc.languageen
dc.publisherElsevier
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceApplied Energy
dc.subjectWater-energy system design
dc.subjectMulti-sector benefit distribution
dc.subjectMulti-objective robust optimisation under uncertainty
dc.subjectMulti-objective evolutionary algorithms
dc.titleSpatial and sectoral benefit distribution in water-energy system design
dc.typeArtículo de revista


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