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VARIABILTY OF LONG TERM ESTIMATES OF HYDRO POWER GENERATION ON A EUROPEAN SCALE

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HAL Id: hal-02317459

https://hal-mines-paristech.archives-ouvertes.fr/hal-02317459

Submitted on 16 Oct 2019

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VARIABILTY OF LONG TERM ESTIMATES OF

HYDRO POWER GENERATION ON A EUROPEAN

SCALE

Valentina Sessa, Edi Assoumou, Sílvia Carvalho

To cite this version:

Valentina Sessa, Edi Assoumou, Sílvia Carvalho. VARIABILTY OF LONG TERM ESTIMATES OF HYDRO POWER GENERATION ON A EUROPEAN SCALE. Internation Conference on Applied Energy, Aug 2019, Vasteras, Switzerland. �hal-02317459�

(2)

VARIABILTY OF LONG TERM ESTIMATES OF HYDRO POWER

GENERATION ON A EUROPEAN SCALE

Valentina Sessa

1*

, Edi Assoumou

1

, Sílvia Carvalho

2

1 MINES ParisTech, Centre de Mathématiques Appliquées (CMA), Sophia Antipolis, France.

2 Climate Change Impacts Adaptation & Modelling (CCIAM), Faculdade de Ciências da Universidade de Lisboa, Portugal

•

Hydropower is the world’s most dominant

(86%) source of renewable electrical energy.

•

It strictly depends on the geography and

weather peculiarity of locations where

power plants are settled.

•

We use machine learning techniques for

producing long term estimates of hydro

power capacity factors for all European

countries based on future climate scenarios.

Estimated capacity factor of run-of-river

hydro power generation over 2030.

METHODOLOGY

RESULTS

Annual mean of HP generation obtained by

considering the five climate models over the

year 2050.

Anomalies in the run-of-river HP generation

for the year 2050 (winter period DJF).

Variability of capacity factor over 20 years

around 2050 for Portugal.

Références

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