A cross-European efficiency assessment of offshore wind farms: A DEA approach. (May 2020)

• Record Type: Journal Article
• Authors: Akbari, Negar; Jones, Dylan; Treloar, Richard
• Is Part Of: Renewable energy. Volume 151(2020)
• Page Start: 1186
• Page End: 1195
• Publication Date: 2020-05
• Subjects: Renewable energy -- Decision making -- Offshore wind farms -- Data envelopment analysis -- Efficiency assessment; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2019.11.130
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: Offshore wind energy is recognized as an important source of renewable energy and has experienced rapid growth in recent years especially in north-western European countries. In this paper, the efficiency of 71 offshore wind farms across five north-western European countries is assessed using the Data Envelopment Analysis (DEA) Method. The number of turbines, cost, distance to shore, and area of the wind farms are selected as the inputs and the connectivity to population centres, the produced electricity and the water depth are considered as the outputs. The results show that the average CCR efficiency score of all offshore wind farms considered in this study is 87%, and the relative median efficiency of offshore wind farms in different countries is not statistically different. This study offers a practical and holistic performance assessment to the offshore wind stakeholders and policy makers via including economic, environmental, technical and social inputs and outputs in the analysis. Highlights: A benchmark study of the current status of European offshore wind farms. The average efficiency score of 71 offshore wind farms across Europe is 87%. Median efficiency scores across countries is not statistically different.