TY - GEN
T1 - Seasonal Forecast Climate Data and Hydropower Production in the Douro Basin, in Portugal
AU - Diogo, Paulo Alexandre
AU - Beça, Pedro
AU - Simões, Sofia
AU - Amorim, Filipa
AU - Mujtaba, Babar
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FAMB%2F04085%2F2019/PT#
info:eu-repo/grantAgreement/EC/H2020/690462/EU#
The project CLIM2POWER is part of ERA4CS, an ERA-NET initiated by JPI Climate and funded by FORMAS (SE), DLR (DE), BMWFW (AT), FCT (PT), EPA (IE) and ANR (FR). MARE is financed by Fundação para a Ciência e Tecnologia.I.P., Portugal.
PY - 2020/10/13
Y1 - 2020/10/13
N2 - 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.
AB - 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.
KW - seasonal climate forecasting
KW - hydrological modelling
KW - hydropower production
U2 - 10.3390/environsciproc2020002071
DO - 10.3390/environsciproc2020002071
M3 - Conference contribution
T3 - Environmental Sciences Proceedings
BT - The 4th EWaS International Conference
A2 - Kanakoudis, Vasilis
A2 - Keramaris, Evangelos
PB - MDPI - Multidisciplinary Digital Publishing Institute
CY - Basel
T2 - The 4th EWaS International Conference: Valuing the Water, Carbon, Ecological Footprints of Human Activities
Y2 - 24 June 2020 through 27 June 2020
ER -
