Spatial and temporal variability of wind energy resource and production over the North Western Mediterranean Sea: Sensitivity to air-sea interactions. (February 2017)

• Record Type: Journal Article
• Authors: Omrani, Hiba; Drobinski, Philippe; Arsouze, Thomas; Bastin, Sophie; Lebeaupin-Brossier, Cindy; Mailler, Sylvain
• Is Part Of: Renewable energy. Volume 101(2017)
• Page Start: 680
• Page End: 689
• Publication Date: 2017-02
• Subjects: Offshore wind energy -- Air-sea coupling -- Sensitivity numerical experiment; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2016.09.028
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: This work assesses the sensitivity of the offshore wind energy density and production to SST biases and air-sea feedbacks along the French and Spanish coast in the North-Western Mediterranean. It makes use of a set of three 20-years simulations from atmosphere stand-alone and atmosphere/ocean coupled models. In this numerical experiment, the effects of SST bias and air-sea feedbacks are isolated without any interference with other sources of error and uncertainty propagation, meaning that the same model and hence the same physics are used, all other things being equal. This study shows that the effects of SST bias or air-sea feedbacks on wind energy density and production estimation can reach up to 10% and 5%, respectively. Especially, accounting for air-sea coupled processes on sub-monthly time scales weakens systematically the energy density and production by 6.5% and 2.4% with respect to the configuration where these effects are neglected. The relative variability over the 20 years of simulation does not exceed 20% so the impact of air-sea feedbacks is very robust in time in terms of wind energy density and production assessment. Uncertainties up to 6.5 and 2.5% in the evaluation of the potential in terms of wind energy density and production potential can have severe consequences on the whole industry by lowering the projects profitability. This study shows that the effects of SST bias and air-sea feedbacks usually extend vertically up to the hub-height but their magnitude depends on the stability of the atmosphere. This study concludes that reducing the SST bias at the lower boundary of numerical atmospheric models and accounting for rapid interactions and feedbacks between the ocean and the atmosphere are key to improve the reliability of offshore wind energy density and production assessment. Highlights: The SST accuracy have a direct impact on the offshore wind resource assessment. The air-sea feedbacks on offshore wind are not confined near the surface but propagate to higher atmospheric level. It is essential to account for air-sea interactions in numerical atmospheric models for wind resource assessment.