Water for Energy
High-resolution long-term predictions of streamflow influenced by global climate change are required for the efficient management of hydropower down to individual power plants. In order to successfully tackle the different challenges, HPC technologies, tools and services will be implemented in close collaboration with the transversal basis and tested in real-world settings. The specific goals are for:
- Geothermal energy to:
- Define typical residential areas and specify their particular needs in terms of heat and electrical energy supply and to predict typical sizes of geothermal plants;
- Establish a three-dimensional geological reservoir simulation model, representing all major cap rock and high-permeability layers at various depths;
- Consider the energy (electricity and heat) demands of the generic studied city quarters;
- Study alternative power plant scenarios.
- Hydropower to:
- Setup an integrated terrestrial modelling system embedded in a data assimilation framework for scenario analysis of climate change impact on hydropower generation and inform hydropower systems on the current and near term status of hydrologic states and fluxes in real-time;
- Develop suitable interfaces between hydrological models and all the models for the energy sector, land use change, biodiversity, population growth and macroeconomics (including prices and market linkages) which are mandatory for a reliable integrated assessment model (IAM) application;
- Develop new storage technologies and foster the evolution of the energy market, explored by means of a regional hydrological model.