Mutually Complementary Measure-Correlate-Predict Method for Enhanced Long-Term Wind-Resource Assessment
- Title
- Mutually Complementary Measure-Correlate-Predict Method for Enhanced Long-Term Wind-Resource Assessment
- Author
- 오기용
- Keywords
- measure-correlate-predict; site compliance; wind-resource assessment; wind potential prediction
- Issue Date
- 2020-10
- Publisher
- MDPI
- Citation
- MATHEMATICS, v. 8, no. 10, article no. 1795
- Abstract
- Evaluating the economic feasibility of wind farms via long-term wind-resource assessments is indispensable because short-term data measured at a candidate wind-farm site cannot represent the long-term wind potential. Prediction errors are significant when seasonal and year-on-year variations occur. Moreover, reliable long-term reference data with a high correlation to short-term measured data are often unavailable. This paper presents an alternative solution to predict long-term wind resources for a site exhibiting seasonal and year-on-year variations, where long-term reference data are unavailable. An analysis shows that a mutually complementary measure-correlate-predict method can be employed, because several datasets obtained over short periods are used to correct long-term wind resource data in a mutually complementary manner. Moreover, this method is useful in evaluating extreme wind speeds, which is one of the main factors affecting site compliance evaluation and the selection of a suitable wind turbine class based on the International Electrotechnical Commission standards. The analysis also shows that energy density is a more sensitive metric than wind speed for sites with seasonal and year-on-year variations because of the wide distribution of wind speeds. A case study with short-term data measured at Fujeij, Jordan, clearly identifies the factors necessary to perform the reliable and accurate assessment of long-term wind potentials.
- URI
- https://www.mdpi.com/2227-7390/8/10/1795https://repository.hanyang.ac.kr/handle/20.500.11754/171812
- ISSN
- 2227-7390
- DOI
- 10.3390/math8101795
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML