Study on Wind Speed Correlation between UNITEN and Meteorological Station Data for Wind Resource Assessment
Keywords:
Wind Resource, Wind Correlation, Wind Speed, Resource AssessmentAbstract
Assessing the wind speed at a target site is essential in deciding the feasibility of wind turbine installation for energy production. However, doing on-site measurement alone requires a long period of data collection to capture the annual and seasonal changes of wind speed. One of the method used to overcome to issue is by using the correlation method, by measuring a small set of data at a target site and correlating with the data at a nearby site, either a meteorological station or an airport, which usually have long-term records of wind data. This paper discusses a study done at Universiti Tenaga Nasional located in Kajang, Malaysia, on the suitability of using a nearby long-term data for its wind resource assessment. It is shown that the correlation coefficient (r) is 0.71 and its coefficient of determination (R2) is 0.51. 23 of the data recorded at the target site out of 26 data points or 88.46% shows higher wind speed compared to the reference site which is the meteorological station.
References
- J. L. Sawin, K. Seyboth, and F. Sverrisson, Renewables 2016: Global Status Report. 2016.
- Government of Malaysia, "Intended Nationally Determined Contribution of the Government of Malaysia," 2016. Online]. Available: http://www4.unfccc.int/submissions/INDC/Published Documents/Malaysia/1/INDC Malaysia Final 27 November 2015 Revised Final UNFCCC.pdf.
- T. H. Oh, S. Y. Pang, and S. C. Chua, "Energy policy and alternative energy in Malaysia: Issues and challenges for sustainable growth," Renew. Sustain. Energy Rev., vol. 14, no. 4, pp. 1241-1252, 2010.
- Government of Malaysia, "Renewable Energy Act 2011(Act 725)," pp. 1-48, 2011.
- I. E. Agency, "Renewable Energy Act establishing feed-in tariff (FIT) system (Malaysia)." Online]. Available: https://www.iea.org/policiesandmeasures/pams/malaysia/name-24984-en.php.
- Official Website, "Sustainable Energy Development Authority Malaysia." Online]. Available: http://seda.gov.my.
- L.-W. Ho, "Wind energy in Malaysia: Past, present and future," Renew. Sustain. Energy Rev., vol. 53, pp. 279-295, 2016.
- G. Dutton, J. a Halliday, M. J. Blanch, J. Halliday, N. Campbell, and J. Barnes, "The Feasibility of Building-Mounted / Integrated Wind Turbines Achieving their potential for carbon emission reductions . Final Report," Building, no. May, 2005.
- K. Sunderland, G. Mills, and M. Conlon, "Estimating the Wind Resource in an Urban Area : a Case Study of Micro Wind Generation Potential in Dublin," J. Wind Eng. Ind. Aerodyn., vol. 118, pp. 44-53, 2013.
- S. Eriksson, H. Bernhoff, and M. Leijon, "Evaluation of different turbine concepts for wind power," Renew. Sustain. Energy Rev., vol. 12, no. 5, pp. 1419-1434, 2008.
- S. Mertens, "The energy yield of roof mounted wind turbines," Wind Eng., vol. 27, no. 6, pp. 507-518, 2003.
- M. A. Heath, J. D. Walshe, and S. J. Watson, "Estimating the potential yield of small building-mounted wind turbines," Wind Energy, vol. 10, no. 3, pp. 271-287, 2007.
- I. Abohela, N. Hamza, and S. Dudek, "Effect of roof shape, wind direction, building height and urban configuration on the energy yield and positioning of roof mounted wind turbines," Renew. Energy, vol. 50, pp. 1106-1118, 2013.
- S. L. Walker, "Building mounted wind turbines and their suitability for the urban scale-A review of methods of estimating urban wind resource," Energy Build., vol. 43, no. 8, pp. 1852-1862, 2011.
- J. A. Carta, S. Velázquez, and P. Cabrera, "A review of measure-correlate-predict (MCP) methods used to estimate long-term wind characteristics at a target site," Renew. Sustain. Energy Rev., vol. 27, pp. 362-400, 2013.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRSET
This work is licensed under a Creative Commons Attribution 4.0 International License.