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

Abstract

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.

Qatar’s Wind Energy Potential with Associated Financial and Environmental Benefits for the Natural Gas Industry

“…Once a wind farm is installed, further work can be done in order to compare the calculated values and the real power production and behavior of the turbines. This type of study has been done in other small wind farms, such as the analysis performed in a case study of Ørland in Norway [24].…”

Impact of Design Parameters on the Dynamic Response and Fatigue of Offshore Jacket Foundations

“…The wind turbine is attached to the jacket support structure used in phase 1 of the OC4 project. The material properties, node coordinates, and member properties are the same as in the study [4]. The four levels of X-braces are connected with the four-legged jacket, and piles have a penetration depth of 45 m. The jacket has a total height of 70.15 m, including the TP (transition piece), which is 4 m high.…”

“…The complexity and computationally expensive nature of time-series fatigue analysis force the researchers to make simplified assumptions, which impacts the accuracy of modern-day research. A complete wind resource analysis was done in [4] to describe the method of reference site selection. The study also highlighted the method of correlating short-term data with multi-year historical data to extract the environmental data for any research.…”

Future prospects research on offshore wind power scale in China based on signal decomposition and extreme learning machine optimized by principal component analysis

“…In recent years, many scholars have devoted themselves to studying the status of offshore wind energy resources in various countries, and conducted evaluation from multiple layers. The hottest research is the construction technology of wind power 3‐20 such as tower structure, unit aerodynamic performance, wind turbine blade optimization design. Ma et al 3 established the time domain coupling calculation model of floating wind turbine, and proposed the wind turbine blade combination optimization design method.…”