Development of a Decision Making Assistant for Hydropower Project Potential Evaluation and Optimization
The 2050 Energy Strategy is based on a massive development of renewable energy sources. Swiss hydropower stations are key components of this strategy considering in particular their systematic upgrade and extension. This proposed multi-disciplinary project aims to develop a numerical tool for
assessing the true hydropower renovation potential of these hydropower stations by considering both electricity generation increase and services to the grid.
The EPFL software SIMSEN already features objects to model all the components of a hydropower plant. Nonetheless, an accurate model of the hydraulic performance hill chart of hydraulic turbines currently relies on experimental model testing, which is not compatible with the proposed approach. The first work package (WP1) of this project, led by EPFL LMH, aims to provide the methodology and the associated knowledge-based inference model that yields the empirical model of the expected hydraulic performance hill chart of hydraulic turbine according to its rated characteristics. It will provide a quick and automated alternative to model testing, available at the very early stage of hydropower projects.
LMH Researchers : João Gomes Pereira Jr.; Philippe Allenbach; Loïc Andolfatto; François Avellan
Partners : EPFL LCH; EPFL DESL; Power Vision Engineering Sàrl; Groupe E SA; FMV SA
Duration : January 2017 – December 2019
Funding : CTI Project
SCCER : Supply of Electricity, Future Swiss Electrical Infrastructure