Be careful what you wish for: the legal parameters of EU withdrawal

Easiness with which the political circles talk about withdrawal from the European Union is rather surprising and proves that the legal parameters of an EU exit are not treated seriously enough. In theoretical terms Article 50 TEU allows for a unilateral exit as well as for a consensual divorce. Arguably, the first is an interesting abstract proposition, which, however, in practical terms seems to be an unworkable solution. Hence, the only realistic option is a proper divorce based on a withdrawal agreement. As per Article 50 TEU, it would be negotiated by the European Union with a departing country and should cover the terms of withdrawal and “take account of future relations” between the EU and the divorcee. It is submitted that in order to avoid a legal vacuum, this agreement should not only “take account of future relations” but actually deal with them thoroughly. This will make the negotiations difficult and, most likely, time consuming. One also has to envisage a scenario whereby a country leaving the European Union would join EFTA and become a EFTA-EU Member State of the European Economic Area. Should that happen the scope of a EU withdrawal agreement would be limited to the terms of exit, while future relations between the divorcee and the European Union would be mainly covered by the EEA Agreement. This chapter unlocks the mechanics of Article 50 TEU and the withdrawal procedure it provides for. It covers the issues that should be attended to by the negotiators and provides an overview of dossiers that are likely be covered in a withdrawal agreement.

Wind resource mapping using landscape roughness and spatial interpolation methods

Energy saving, reduction of greenhouse gasses and increased use of renewables are key policies to achieve the European 2020 targets. In particular, distributed renewable energy sources, integrated with spatial planning, require novel methods to optimise supply and demand. In contrast with large scale wind turbines, small and medium wind turbines (SMWTs) have a less extensive impact on the use of space and the power system, nevertheless, a significant spatial footprint is still present and the need for good spatial planning is a necessity. To optimise the location of SMWTs, detailed knowledge of the spatial distribution of the average wind speed is essential, hence, in this article, wind measurements and roughness maps were used to create a reliable annual mean wind speed map of Flanders at 10 m above the Earth’s surface. Via roughness transformation, the surface wind speed measurements were converted into meso- and macroscale wind data. The data were further processed by using seven different spatial interpolation methods in order to develop regional wind resource maps. Based on statistical analysis, it was found that the transformation into mesoscale wind, in combination with Simple Kriging, was the most adequate method to create reliable maps for decision-making on optimal production sites for SMWTs in Flanders.