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Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model

2019-01-15Artigo científico Acesso aberto
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dc.contributor.authorMiranda, Raul
dc.contributor.authorSimões, Sofia
dc.contributor.authorSzklo, Alexandre
dc.contributor.authorSchaeffer, Roberto
dc.contributor.institutionDCEA - Departamento de Ciências e Engenharia do Ambiente
dc.contributor.institutionCENSE - Centro de Investigação em Ambiente e Sustentabilidade
dc.contributor.pblElsevier Science B.V., Amsterdam.
dc.date.accessioned2019-09-11T22:41:18Z
dc.date.available2019-09-11T22:41:18Z
dc.date.issued2019-01-15
dc.descriptionWe thank the Brazilian Federal agencies CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior) and CNPq (Conselho Nacional de Desenvolvimento Cientifico e Tecnologico) for their support for the scientific research performed at the Energy Planning Program, Universidade Federal do Rio de Janeiro. We would also like to thank the European Commission for their support to the scientific research performed jointly by the Energy Planning Program and the Center for Environmental and Sustainability Research.
dc.description.abstractOnshore wind and solar-photovoltaic-based electricity are expected to drive most of the global growth in renewable energy sources capacity until 2020. This creates a challenge for properly modelling such intermittent variable resources since: (i) their availability varies spatially and temporally and (ii) thus, their integration in power systems is determined by the configuration of transmission grids. Large energy system models usually adopt simplified approaches for modelling wind and solar photovoltaic (PV) deployment and the power grid. This paper uses the recently developed TIMES-Brazil optimisation model to study the role of transmission bottlenecks in cost-effective long-term deployment of wind and solar power in the Brazilian energy system up to 2050. The model explicitly models the grid infrastructure of 29 regions in Brazil differentiated according to existing power plants, wind and solar availabilities, future RES potentials and power demand. Three different scenarios (Free Trade, Simplified Trade and Detailed Trade), with increasingly more detail in modelling electricity transmission lines, were tested. Findings show that a more detailed transmission infrastructure significantly affects capacity deployments and electricity prices. The grid connecting the North and South of Brazil was found to be the most important bottleneck affecting the deployment of solar in the country.en
dc.description.versionauthorsversion
dc.description.versionpublished
dc.format.extent13
dc.format.extent1442322
dc.identifier.doi10.1016/j.energy.2018.11.036
dc.identifier.issn0360-5442
dc.identifier.otherPURE: 13464836
dc.identifier.otherPURE UUID: 46bafd7d-6739-4577-a081-ae5b2de466ef
dc.identifier.otherScopus: 85057140546
dc.identifier.otherWOS: 000456351800066
dc.identifier.otherORCID: /0000-0003-4304-1411/work/63726076
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85057140546&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/85057140546
dc.language.isoeng
dc.peerreviewedyes
dc.subjectCivil and Structural Engineering
dc.subjectBuilding and Construction
dc.subjectPollution
dc.subjectMechanical Engineering
dc.subjectIndustrial and Manufacturing Engineering
dc.subjectElectrical and Electronic Engineering
dc.subjectSDG 7 - Affordable and Clean Energy
dc.titleAdding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES modelen
dc.typejournal article
degois.publication.firstPage791
degois.publication.lastPage803
degois.publication.titleEnergy
degois.publication.volume167
dspace.entity.typePublication
rcaap.rightsopenAccess

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