The deliverable aims at evaluating the relationship existing between climate variability (as far as precipitation and temperature are concerned) and the potential productivity of 4 Enel hydropower plants located in the Cordevole river catchment, chosen as a case study. This catchment is located in the upper part of the Piave river catchment, in the eastern Alps. To capture this relationship , we provided ENEL with a 30-arc-second resolution dataset of monthly temperature and precipitation over the case study area for the past decades and for the future, based on the statistical downscaling of some ENSEMBLES RCMs. These data were used by ENEL to calibrate and validate their empirical model of plant productivity over the past, and to project it into the future, estimating the productivity evolution under an A1B scenario.
Report on past and future stream flow estimates coupled to dam flow evaluation and hydropower production potential. Project ECLISE (Enabling CLimate Information Services for Europe). Work package : WP6 : ENERGY. TASK 6.2 : Dams management in hydropower generation in Alpine and Apennines regions / M. Brunetti, C. Simolo, M. Maugeri, F. Dalla Valle, G. Galeati, R. Manfren, L. Veronese. - [s.l] : CNR/ISAC, 2014.
Report on past and future stream flow estimates coupled to dam flow evaluation and hydropower production potential. Project ECLISE (Enabling CLimate Information Services for Europe). Work package : WP6 : ENERGY. TASK 6.2 : Dams management in hydropower generation in Alpine and Apennines regions
M. MaugeriPrimo
;
2014
Abstract
The deliverable aims at evaluating the relationship existing between climate variability (as far as precipitation and temperature are concerned) and the potential productivity of 4 Enel hydropower plants located in the Cordevole river catchment, chosen as a case study. This catchment is located in the upper part of the Piave river catchment, in the eastern Alps. To capture this relationship , we provided ENEL with a 30-arc-second resolution dataset of monthly temperature and precipitation over the case study area for the past decades and for the future, based on the statistical downscaling of some ENSEMBLES RCMs. These data were used by ENEL to calibrate and validate their empirical model of plant productivity over the past, and to project it into the future, estimating the productivity evolution under an A1B scenario.File | Dimensione | Formato | |
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ECLISE_WP6_Task_6_2_Deliv_6_5_ISAC_CNR.pdf
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