An Increase in the Efficiency of Electricity Generating from Wind Energy in the Year by Setting Wind Waiting Direction of Wind Turbine based on Arithmetic Mean of the Wind Direction

Main Article Content

พรวี เกิดเกตุ
Somthawin Khunkhet
Werapon Chiracharit
Jompob Waewsak

Abstract

     Nowadays, electricity generating from wind energy increases from 112 MW in 2012 to 234 MW in 2015 and becoming more and more increasing. The investment in electricity generating from wind is costly compared to other types of renewable energy. Hence, an increase in the efficiency of electricity generating from wind is an alternative way to reduce rate of returns. This study investigates the setting of wind waiting direction of wind turbine by using method of huge error for data screening in order to be in the same database. Also, arithmetic mean of wind direction is used for setting wind waiting direction to reduce the time for the adjustment of the wind turbine face to the wind direction. Normally, it takes about 5 - 10 minutes, depending on the position of the wind turbine face before stops working. Results of the study can reduce the time for the adjustment of the wind turbine face. Also, it can increase the time for electricity generating of the wind turbine. Electricity generating in January to December, 2018 increases for 1,830 minutes (7,332 kWh) or 0.172 percent compared with data from SCADA system. Therefore, the proposed method can be used for setting wind waiting direction of the wind turbine to increase the efficiency in electricity generating.

Article Details

How to Cite
[1]
เกิดเกตุ พ., S. . Khunkhet, W. . Chiracharit, and J. . Waewsak, “An Increase in the Efficiency of Electricity Generating from Wind Energy in the Year by Setting Wind Waiting Direction of Wind Turbine based on Arithmetic Mean of the Wind Direction”, J of Ind. Tech. UBRU, vol. 10, no. 2, pp. 49–60, Oct. 2020.
Section
Research Article

References

Energy Policy and Planning office (EPPO). Ministry of Energy. Power Development Plan 2015 [Internet]. 2016 [cites 2019 January 10] available from: http://www.eppo.go.th/images/POLICY/PDF/PDP_TH.pdf (in Thai)

Department of Alternative Energy Development and Efficiency. Ministry of Energy. Alternative Energy Development Plan 2015 [Internet]. 2016 [cites 2019 January 10] available from: http://www.eppo.go.th/images/POLICY/PDF/AEDP2015.pdf (in Thai)

Phattaraphorn Hiranwong and Singhaphan Singhaseni. The future of electric power in Thailand, enough but risky [Internet]. 2015 [cites 2019 January 8] available from: https://www.bot.or.th/Thai/MonetaryPolicy/ArticleAndResearch/FAQ/FAQ_102.pdf (in Thai)

Mueangmon Nethan and Amphaisak Thibunma. Analysis and testing of wind turbine power generation efficiency of 800 watts. Journal of Science and Technology. Ubon Ratchathani University. 2011; 13(1): 57-65. (in Thai)

Phinit Sangthong and Wirachai Roinarin. Study of 1.5 MW wind turbine blades with fluid dynamics program. 8th Conference on Energy Network of Thailand (E-NETT2012); 2012 May 2-4; Faculty of Engineering. Mahasarakrm University; 2012. P. 1-7. (in Thai)

Worrapong Puangkaew, Jompob Waewsak , Chuleerat Kongruang, Chana Chancham, Nirundorn Matan, Yutthana Tirawanichakul and Supawan Tirawanichakul. Assessment of Wind Energy Resource and Feasibilityof Installing 0.225-0.75 MW Wind Power Plants along the Coast of Nakhon Si Thammarat and Songkhla Provinces. Thaksin University Journal; 2009-2010; 12(3): 129-137. (in Thai)

Chatchai Promdee and Chonlatee Photong. Electric Power Generation of Savonius Wind Turbine with Double Wind Tunnels. Academic journal engineering. Ubon Ratchathani University. 2016; 9(2): 18-29. (in Thai)

Porté-Agel F, Wu YT, Chen CH. A numerical study of the effects of wind direction on turbine wakes and power losses in a large wind farm. Energies. 2013; 6: 5297–5313.

Lee KY, Tsao SH, Tzeng CW, Lin HJ. Influence of the vertical wind and wind direction on the power output of a small vertical-axis wind turbine installed on the rooftop of a building. Applied Energy. 2018; 209: 383–391.

Xiang C, Tian-qi L, Fu-jun W, Zhen-huan C, Xiao-hu L, Tie-ying G, Suilin F, Zheng F. Wind power prediction considering the layout of the wind turbines and wind direction. Asia-Pacific Power and Energy Engineering Conference (APPEEC 2012); 2012 March 27-29; Shanghai. China: Institute of Electrical and Electronics Engineers (IEEE); 2012. p. 2716-2719.

Roulston MS, Kaplan DT, Hardenberg J, Smith LA. Using medium-range weather forcasts to improve the value of wind energy production. Renewable Energy. 2003; 28: 585-602.

Senjyu T, Sakamoto R, Urasaki N, Funabashi T, Fujita H, Sekine H. Output power leveling of wind turbine Generator for all operating regions by pitch angle control. IEEE Transactions on Energy Conversion. 2006; 21(2): 467-476.

Pahasa J and Ngamroo I. Model predictive control-based wind turbine blade pitch angle control for alleviation of frequency fluctuation in a smart grid. 2014 International Electrical Engineering Congress (iEECON 2014); 2014 March 19-21; Chonburi. Thailand: Institute of Electrical and Electronics Engineers (IEEE); 2014. p. 304-307.

Ponrawee Koetket, Somthawin Khunkhet, Werapon Chiracharit, Jompob Waewsak, Tanate Chaichana, and Yingrak Auttawaitkul. Determination of Wind Waiting Direction of Turbine by Using a Statistical Method for Increasing Time Span on Electricity Generating. 14th Conference on Energy Network of Thailand (E-NETT2018); 2018 June 13-15; Faculty of Engineering Rajamangala University of Technology Thanyaburi; 2018. P. 1097-1100. (in Thai)

Nanthana Kanyanuwat and Nutnat Nakham. Guidelines for checking the validity of chemical testing methods. Bangkok: Bureau of Basic Industries Department of Primary Industries and Mines; 2012. (in Thai)