Environmental data for the planning of off-shore wind parks from the EnerGEO Platform of Integrated Assessment (PIA)

• Main Authors: Zelle, Hein, Mika, Agnes, Calkoen, Charles, Santbergen, Peter, Blanc, Isabelle, Guermont, Catherine, Ménard, Lionel, Gschwind, Benoît
• Other Authors: BMT Argoss, Centre Observation, Impacts, Énergie (O.I.E.), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), financement européen, Bernd Page, Andreas G. Fleischer, Johannes Göbel, Volker Wohlgemuth, EcoSD network, European Project: 226364,EC:FP7:ENV,FP7-ENV-2008-1,EnerGEO(2009)
• Format: Other/Unknown Material
• Language: English
• Published: HAL CCSD 2013
• Subjects: environment; assessment; impact; energy; scenario; Europe; web; envir; geo; North West Atlantic
• Online Access: https://hal-mines-paristech.archives-ouvertes.fr/hal-00858425/file/2013_enviroinfo_zelle_wind_pilot.pdf; https://hal-mines-paristech.archives-ouvertes.fr/hal-00858425

International audience The EU-sponsored EnerGEO project aims at providing decision makers with a modelling platform to assess the environmental impacts of different sources of renewable energy. One of the pillars of the project is the Wind Energy Pilot, addressing the effects of offshore wind parks on air pollution and energy use. The methods used in the pilot and the underlying environmental databases are integrated into a WebGIS client tool and made available to the public. This paper is dedicated to describing the environmental databases and supporting data incorporated in the client tool. A 27-km resolution, 11-year wind database is created using the WRF model. The wind database is used to assess the wind climate in the north-west Atlantic region and to derive the potential power output from offshore wind parks. Auxiliary data concerning water depth, distance to shore and distance to the nearest suitable port are created to aid the planning and maintenance phases. Seasonal workability conditions are assessed using a 20-year wave database. The distance at which future wind parks should be placed to exhibit different wind climates is investigated.