Offshore wind potential of west central Taiwan: A case study
Journal
Energies
Journal Volume
14
Journal Issue
12
Date Issued
2021
Author(s)
Hsu W.-K
Abstract
In this study, we present the wind distributions from a long-term offshore met mast and a novel approach based on the measure–correlate–predict (MCP) method from short-term onshore-wind-turbine data. The annual energy production (AEP) and capacity factors (CFs) of one onshore and four offshore wind-turbine generators (WTG) available on the market are evaluated on the basis of wind-distribution analysis from both the real met mast and the MCP method. Here, we also consider the power loss from a 4-month light detection and ranging (LiDAR) power-curve test on an onshore turbine to enhance the accuracy of further AEP and CF evaluations. The achieved Weibull distributions could efficiently represent the probability distribution of wind-speed variation, mean wind speed (MWS), and both the scale and shape parameters of Weibull distribution in Taiwan sites. The power-loss effect is also considered when calculating the AEPs and CFs of different WTGs. Successful offshore wind development requires (1) quick, accurate, and economical harnessing of a wind resource and (2) selection of the most suitable and efficient turbine for a specific offshore site. ? 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Subjects
Annual energy production (AEP)
Capacity factors (CFs)
Light detection and ranging (LiDAR)
Mean wind speed (MWS)
Measure–correlate–predict (MCP)
Wind-turbine generator (WTG)
Offshore oil well production
Optical radar
Weibull distribution
Wind
Wind power
Annual energy productions
Capacity factors
Light detection and ranging
Mean wind speed
Onshore wind turbine
Scale and shape parameters
Wind distribution
Wind speed variations
Offshore wind turbines
Type
journal article