AGRICULTURAL BIOTECHNOLOGY IN DEVELOPING COUNTRIES: WILL IT BE TECHNOLOGY TRANSFERRED THROUGH THE MARKET OR PIRACY?

Research and Development/Tech Change/Emerging Technologies,

Wind potentials for EU and neighbouring contries: Input datasets for the JRC-EU-TIMES Model

Data on the potential generation of electricity from wind is crucial information for analysing the future role of this renewable energy source. In this report, a description is presented of the methodologies used for the derivation of a dataset. The dataset consists of an estimation of (1) wind speeds accounting for high-resolution effects, (2) power production accounting for a wide range of turbine types, (3) suitable areas and (4) associated cost estimates. Wind speed information is systematically derived from 30 years of meteorological data based on the MERRA reanalysis dataset, and from the high resolution geo-spatial data based on the Global Wind Atlas. Within this project, the wind potentials and techno-economic parameters are gathered and processed into input datasets for the JRC-EU-TIMES model. This allows improved modelling of the competition and the complementarity of wind with other technologies, the key functionality of the JRC-EU-TIMES model. Moreover the datasets can also be used for the analysis of policy questions relating to the availability of wind energy

ENSPRESO - an open, EU-28 wide, transparent and coherent database of wind, solar and biomass energy potentials

Data on the potential generation of energy from wind, solar and biomass is crucial for analysing their development, as it sets the limits on how much additional capacity it is feasible to install. This paper presents the methodologies used for the development of ENSPRESO, ENergy System Potentials for Renewable Energy SOurces, an EU-28 wide, open dataset for energy models on renewable energy potentials, at national and regional levels for the 2010–2050 period. In ENSPRESO, coherent GIS-based land-restriction scenarios are developed. For wind, resource evaluation also considers setback distances, as well as high resolution geo-spatial wind speed data. For solar, potentials are derived from irradiation data and available area for solar applications. Both wind and solar have separately a potential electricity production which is equivalent to three times the EU's 2016 electricity demand, with wind onshore and solar requiring 16% and 1.4% of total land, respectively. For biomass, agriculture, forestry and waste sectors are considered. Their respective sustainable potentials are equivalent to a minimum 10%, 1.5% and 1% of the total EU primary energy use. ENSPRESO can enrich the results of any energy model (e.g. JRC-EU-TIMES) by improving its analyses of the competition and complementarity of energy technologies.</p