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The growing share of electricity production from solar and mainly wind resources constantly increases the stochastic nature of the power system. Modelling the high share of renewable energy sources – and in particular wind power – crucially depends on the adequate representation of the intermittency and characteristics of the wind resource which is related to the accuracy of the approach in converting wind speed data into power values. One of the main factors contributing to the uncertainty in these conversion methods is the selection of the spatial resolution. Although numerical weather prediction models can simulate wind speeds at higher spatial resolution (up to 1 × 1 km) than a reanalysis (generally, ranging from about 25 km to 70 km), they require high computational resources and massive storage systems: therefore, the most common alternative is to use the reanalysis data. However, local wind features could not be captured by the use of a reanalysis technique and could be translated into misinterpretations of the wind power peaks, ramping capacities, the behaviour of power prices, as well as bidding strategies for the electricity market. This study contributes to the understanding what is captured by different wind speeds spatial resolution datasets, the importance of using high resolution data for the conversion into power and the implications in power system analyses. It is proposed a methodology to increase the spatial resolution from a reanalysis. This study presents an open access renewable generation time series dataset for the EU-28 and neighbouring countries at hourly intervals and at different geographical aggregation levels (country, bidding zone and administrative territorial unit), for a 30 year period taking into account the wind generating fleet at the end of 2015. [ABSTRACT FROM AUTHOR]

The paper introduces a transparent methodology to assess new suitable locations for mini and small hydro power plants in Europe. The expansion of hydro electricity production is a policy focus not only in Europe, but in the US (Hydropower Regulatory Efficiency Act of 2013) and in the developing world as well. The analysis of the technical potential points out the exact geographical locations and their corresponding capacities instead of only a theoretical potential; therefore it can serve as a reference for the policy debate over the sustainable management of water resources. This debate is reflected already in two major European policies: the Water Framework Directive (WFD) (2000/60/EC) and the RES Directive (2009/28/EC) on the promotion of the use of energy from renewable sources. As both policies have major influence on the priorities of water use, it is important to identify water management practices capable of accommodating sustainable energy purposes while maintaining water quality objectives at the same time. As the WFD poses limitation on the further expansion of large scale hydro options in the European water bodies, the present study focuses on local mini and small hydropower options and their suitability mapping. The presented, geographically explicit method is based on geospatial analysis and the results can contribute to the prioritization of potential hydro power sites in order to improve water quality and its use for energy simultaneously. [ABSTRACT FROM AUTHOR]