Seasonal Forecast Climate Data and Hydropower Production in the Douro Basin, in Portugal

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Abstract

The project CLIM2POWER aims at developing a climate service including state-of-the art seasonal climate forecasts in the planning of the operation of the power systems. This work presents part of the project, addressing the forecasting of the hydropower generation in a case study area, the Portuguese part of the transboundary Douro River basin. Rainfall-runoff modelling was performed on a daily scale using three ensemble members of seasonal climate data (six months) for Portuguese territory crossed with three daily inflow scenarios from Spanish territory defined according to historical observed data. The obtained results reflect the fact that seasonal climate forecast present a wide variation of scenarios and also the fact that hydropower production in Portuguese territory is highly dependent on transboundary inflows. On the other hand, the implemented approach successfully produced consistent runoff and hydropower production results although improvements on the identification of the most probable scenarios are yet required.
Original languageEnglish
Title of host publicationThe 4th EWaS International Conference
Subtitle of host publicationValuing the Water, Carbon, Ecological Footprints of Human Activities
EditorsVasilis Kanakoudis, Evangelos Keramaris
Place of PublicationBasel
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
Number of pages7
DOIs
Publication statusPublished - 13 Oct 2020
EventThe 4th EWaS International Conference: Valuing the Water, Carbon, Ecological Footprints of Human Activities - Online
Duration: 24 Jun 202027 Jun 2020

Publication series

NameEnvironmental Sciences Proceedings
PublisherMDPI AG
Number1
Volume2
ISSN (Print)2673-4931

Conference

ConferenceThe 4th EWaS International Conference: Valuing the Water, Carbon, Ecological Footprints of Human Activities
Abbreviated titleEnviron. Sci. Proc., 2020, EWaS-4 2020
CityOnline
Period24/06/2027/06/20

Keywords

  • seasonal climate forecasting
  • hydrological modelling
  • hydropower production

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