Skip to main content

Evaluation of Wind Resources and the Effect of Market Price Components on Wind-Farm Income: A Case Study of Ørland in Norway

Marjan, Ali, Shafiee, Mahmood (2018) Evaluation of Wind Resources and the Effect of Market Price Components on Wind-Farm Income: A Case Study of Ørland in Norway. Energies, 11 (11). Article Number 2955. ISSN 1996-1073. (doi:10.3390/en11112955) (KAR id:79738)

PDF Publisher pdf
Language: English

Download (1MB) Preview
[thumbnail of Publish.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL


This paper aims to present a detailed analysis of the performance of a wind-farm using the wind turbine power measurement standard IEC61400-12-1 (2017). Ten minutes averaged wind data are obtained from LIDAR over the period of twelve months and it is compared with the 38 years’ data from weather station with the objective of determining the wind resources at the wind-farm. The performance of one of the wind turbines located in the wind-farm is assessed by comparing the wind power potential of the wind turbine with its actual power production. Our analysis shows that the wind farm under study is rated as ‘good’ in terms of wind power production and has wind power density of 479 W/m2. The annual wind-farm’s income is estimated based on the real-data collected from the wind turbines. The effect of price of electricity and the spot prices of Norwegian-Swedish green certificate on the income will be illustrated by means of a Monte-Carlo Simulation (MCS) approach. Our study provides a different perspective of wind resource evaluation by analyzing LIDAR measurements using Windographer and combines it with the lesser explored effects of price components on the income using statistical tools.

Item Type: Article
DOI/Identification number: 10.3390/en11112955
Uncontrolled keywords: wind turbine; LIDAR; wind farm; wind resource analysis; price of electricity; green certificate; performance
Subjects: T Technology > TJ Mechanical engineering and machinery
V Naval Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Mahmood Shafiee
Date Deposited: 23 Jan 2020 19:05 UTC
Last Modified: 16 Feb 2021 14:11 UTC
Resource URI: (The current URI for this page, for reference purposes)
Shafiee, Mahmood:
  • Depositors only (login required):


Downloads per month over past year