Skip to content
Back to outputs

A cross-European efficiency assessment of offshore wind farms: a DEA approach

Research output: Contribution to journalArticlepeer-review

Standard

A cross-European efficiency assessment of offshore wind farms: a DEA approach. / Akbari, Negar; Jones, Dylan; Treloar, Richard.

In: Renewable Energy, Vol. 151, 25.11.2019, p. 1186-1195.

Research output: Contribution to journalArticlepeer-review

Harvard

APA

Vancouver

Author

Bibtex

@article{4c87a9f0bd6e4a0c951d7fff6372e133,
title = "A cross-European efficiency assessment of offshore wind farms: a DEA approach",
abstract = "Offshore wind energy is recognized as an important source of renewable energy and has experienced a 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.",
keywords = "Data envelopment analysis, Decision making, Efficiency assessment, Offshore wind farms, Renewable energy",
author = "Negar Akbari and Dylan Jones and Richard Treloar",
year = "2019",
month = nov,
day = "25",
doi = "10.1016/j.renene.2019.11.130",
language = "English",
volume = "151",
pages = "1186--1195",
journal = "Renewable Energy",
issn = "0960-1481",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - A cross-European efficiency assessment of offshore wind farms: a DEA approach

AU - Akbari, Negar

AU - Jones, Dylan

AU - Treloar, Richard

PY - 2019/11/25

Y1 - 2019/11/25

N2 - Offshore wind energy is recognized as an important source of renewable energy and has experienced a 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.

AB - Offshore wind energy is recognized as an important source of renewable energy and has experienced a 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.

KW - Data envelopment analysis

KW - Decision making

KW - Efficiency assessment

KW - Offshore wind farms

KW - Renewable energy

UR - http://www.scopus.com/inward/record.url?scp=85076246794&partnerID=8YFLogxK

U2 - 10.1016/j.renene.2019.11.130

DO - 10.1016/j.renene.2019.11.130

M3 - Article

VL - 151

SP - 1186

EP - 1195

JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

ER -

ID: 16507091