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Introducing climate variability in energy systems modelling

2020-06Journal article Open access
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dc.contributor.authorAmorim, Filipa
dc.contributor.authorSimoes, Sofia
dc.contributor.authorSiggini, Gildas
dc.contributor.authorAssoumou, Edi
dc.date.accessioned2020-06-29T10:10:22Z
dc.date.available2021-06-27T00:30:08Z
dc.date.issued2020-06
dc.date.updated2020-06-28T17:12:53Z
dc.description.abstractABSTRACT: This paper presents the ongoing research within Clim2Power project Portuguese case study. Its main goal (as a first step) is to show the relevance of using a highly detailed spatial and temporal modeling tool of the Portuguese electricity system in order to be able to adequately capture climate variability in the planning of the system up to 2050. To do so, we consider seasonal and intraday hydro, wind and solar resources variability in a large TIMES energy system model, in the eTIMES_PT model. Existing hydro, wind and thermal powerplants are modelled individually, whereas new plants are modelled at municipality level. The importance of introducing climate variability is assessed by modeling six scenarios: a reference case and both “humid” and “dry” hydropower scenarios. Each of these is also modelled with CO2 emissions cap by 2050. Results show that hydropower electricity generation variations are within range of those referred in literature by other authors. However, in this work, we are able to capture higher variations within seasons and time of day. Also, the analysis enables to account for the combined variability of hydro, PV and wind resources. This variability will subsequently consider data from seasonal forecasts and climate projections.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAmorim, Filipa... [et.al.] - Introducing climate variability in energy systems modelling. In: Energy, 2020, Vol. 206, article nº 118089pt_PT
dc.identifier.doi10.1016/j.energy.2020.118089pt_PT
dc.identifier.issn0360-5442
dc.identifier.slugcv-prod-1957888
dc.identifier.urihttp://hdl.handle.net/10400.9/3287
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationERACS0002/2016pt_PT
dc.relationERACS0002/2016pt_PT
dc.relationEuropean Reanalysis of the Global Climate System
dc.relation.publisherversionhttps://doi.org/10.1016/j.energy.2020.118089pt_PT
dc.relation.publisherversionhttps://authors.elsevier.com/a/1bJC31H%7Ec%7EBN6W
dc.subjectRenewable energy sourcespt_PT
dc.subjectClimate changept_PT
dc.subjectEnergypt_PT
dc.subjectModellingpt_PT
dc.subjectPlanningpt_PT
dc.subjectElectricity productionpt_PT
dc.titleIntroducing climate variability in energy systems modellingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleEuropean Reanalysis of the Global Climate System
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/607029/EU
oaire.citation.titleEnergypt_PT
oaire.citation.volume206pt_PT
oaire.fundingStreamFP7
person.familyNameda Costa Redondo Cancela de Amorim
person.familyNameSimoes
person.familyNameAssoumou
person.givenNameAna Filipa
person.givenNameSofia
person.givenNameEdi
person.identifier.ciencia-id7E18-9DB1-CFE4
person.identifier.ciencia-idB013-F0D5-FF8E
person.identifier.orcid0000-0001-9815-8647
person.identifier.orcid0000-0003-4304-1411
person.identifier.orcid0000-0002-2958-5562
person.identifier.ridI-3367-2015
person.identifier.scopus-author-id24472270000
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.cv.cienciaid7E18-9DB1-CFE4 | Ana Filipa da Costa Redondo Cancela de Amorim
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication43ef3f09-e0cc-43b3-bf0c-9bd2ba76d7d2
relation.isAuthorOfPublication93a00caf-b57f-412c-bc81-22ff62db3678
relation.isAuthorOfPublication5ae3da33-bb9a-4101-a593-2016c12335fc
relation.isAuthorOfPublication.latestForDiscovery43ef3f09-e0cc-43b3-bf0c-9bd2ba76d7d2
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relation.isProjectOfPublication.latestForDiscoveryfb9fc53d-696a-49ed-9e45-efd9493726e6

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