Benchmarking Wind Farm Projects by Means of Series Two-Stage DEA

This paper presents a data envelopment analysis (DEA) approach to benchmark a group of wind farm (WF) projects in Greece by employing a series two-stage structure. In the first stage, the investment performance of projects is evaluated using contract data and site wind conditions, though in the seco...

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Main Author: Ioannis E. Tsolas
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Clean Technologies
Subjects:
Online Access:https://www.mdpi.com/2571-8797/2/3/22
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author Ioannis E. Tsolas
author_facet Ioannis E. Tsolas
author_sort Ioannis E. Tsolas
collection DOAJ
description This paper presents a data envelopment analysis (DEA) approach to benchmark a group of wind farm (WF) projects in Greece by employing a series two-stage structure. In the first stage, the investment performance of projects is evaluated using contract data and site wind conditions, though in the second stage the WF operational efficiency is evaluated using data on production inputs and output. Inefficiency occurs in both the construction and operating stages, but the construction process appears to be more inefficient relative to the operating phase. Moreover, WF size is related to operating efficiency and sensitivity analysis results identify wind speed and WF installation capacity as the factors that affect the investment performance and operational efficiency, respectively. The proposed approach is an addition to the existing literature and it can be used by managers and facility operators.
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spelling doaj.art-abc5c36acab64776a891160e3d5858f22023-11-20T12:33:04ZengMDPI AGClean Technologies2571-87972020-09-012336537610.3390/cleantechnol2030022Benchmarking Wind Farm Projects by Means of Series Two-Stage DEAIoannis E. Tsolas0School of Applied Mathematics and Physics, National Technical University of Athens, 15780 Athens, GreeceThis paper presents a data envelopment analysis (DEA) approach to benchmark a group of wind farm (WF) projects in Greece by employing a series two-stage structure. In the first stage, the investment performance of projects is evaluated using contract data and site wind conditions, though in the second stage the WF operational efficiency is evaluated using data on production inputs and output. Inefficiency occurs in both the construction and operating stages, but the construction process appears to be more inefficient relative to the operating phase. Moreover, WF size is related to operating efficiency and sensitivity analysis results identify wind speed and WF installation capacity as the factors that affect the investment performance and operational efficiency, respectively. The proposed approach is an addition to the existing literature and it can be used by managers and facility operators.https://www.mdpi.com/2571-8797/2/3/22data envelopment analysiswind energywind farm projectspower sector
spellingShingle Ioannis E. Tsolas
Benchmarking Wind Farm Projects by Means of Series Two-Stage DEA
Clean Technologies
data envelopment analysis
wind energy
wind farm projects
power sector
title Benchmarking Wind Farm Projects by Means of Series Two-Stage DEA
title_full Benchmarking Wind Farm Projects by Means of Series Two-Stage DEA
title_fullStr Benchmarking Wind Farm Projects by Means of Series Two-Stage DEA
title_full_unstemmed Benchmarking Wind Farm Projects by Means of Series Two-Stage DEA
title_short Benchmarking Wind Farm Projects by Means of Series Two-Stage DEA
title_sort benchmarking wind farm projects by means of series two stage dea
topic data envelopment analysis
wind energy
wind farm projects
power sector
url https://www.mdpi.com/2571-8797/2/3/22
work_keys_str_mv AT ioannisetsolas benchmarkingwindfarmprojectsbymeansofseriestwostagedea