Journal Press India®

Wind Energy Potential at Different Cities of Assam Using Statistical Models

Vol 6 , Issue 1 , January - March 2018 | Pages: 68-75 | Research Paper  

https://doi.org/10.51976/ijari.611812

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Author Details ( * ) denotes Corresponding author

1. * Md Zakir Hussain, Department of Mechanical Engineering, Goalpara Polytechnic, Goalpara, Assam, India (mechazakirhussain@gmail.com)
2. Dwijendra Kumar Roy, Department of Electrical Engineering,, Goalpara Polytechnic, Goalpara, Assam, India
3. Sabah Khan, Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, Delhi, India
4. Pranjal Kumar Sharma, Department of Mechanical Engineering, Dibrugarh University, Dibrugarh, Assam, India
5. Rumi Talukdar, Lecturer of Mathematics, Goalpara Polytechnic, Goalpara, Assam, India

Energy is an important role in any country’s economy and infrastructure growth. Wind energy is renewable form of energy and environment friendly compared to conventional energy resources that pollute the environment. A proper analysis of wind speed data is an important parameter to estimate wind energy potential at a particular site. This article investigates the wind energy potential at three different cities of Assam viz. Dibrugarh, Guwahati and Tezpur of Assam, India by using statistical methods over a period of eight years from 2010-2017. The speed data revealed that the mean wind speed of Tezpur city was lower in-comparison to Dibrugarh and Guwahati. The average wind speed of Dibrugarh is highest i.e. 5.398 km/hr followed by Guwahati city 4.628 km/hr. The average monthly wind data shows that the mean wind speed for city Dibrugarh is highest in the month of April as 7.8625 km/hr. The mean test analysis between Dibrugarh and Guwahati shows that the mean speed different between two cities is significant as P<0.05. Weibull probability distribution function revealed that higher occurrence of probability at higher wind velocities for each city. The probability distribution plot shows that the 99% probability of occurance of Wind speed is 7.45093 km/hr for city Dibrugarh. The data also revealed that the average wind power density for the city Dibrugarh is 0.897451 W/m2 followed by city Guwahati 0.578349 W/m2. The above analysis shows that there is a possibility of wind power generation in the city of Dibrugarh followed by city Guwahati at these low wind speed region and the vertical axis wind turbines can be installed for power generation in cities Dibrugarh and Guwahati.

Keywords

Wind Energy; Mean Speed; Weibull probability density function; Shape factor; Wind Power Density.


  1. AK Singh, SK Parida. National electricity planner and use of distributed energy sources in India. Sustainable Energy Technologies and Assessments 2,2013, 42-54

  2. G Dwivedi, MP Sharma, M Kumar. Status and policy of biodiesel development in India. International Journal of Renewable Energy Research 4(2), 2014, 246-254

  3. https://www.ukessays.com/essays/environmental-sciences/promoting-non-conventional-energy-resources-environmental- sciences-essay.php

  4. Physical Progress (Achievements). Ministry of New and Renewable Energy, Govt. of India. 31 July 2017.

  5. Energy and energy access: Northeast India Factsheet, Centre for Science and Environment (CSE). Supported by Shakti Sustainable Energy Foundation 8,2016.

  6. http://www.assamrenewable.org/aboutaeda.html#objectives

  7. AR Sengupta, A Biswas, R Gupta. An Analysis of Wind Energy Potential of Silchar (Assam, India) by using different models I.J.E.M.S., 7 (2), 2016,100-107

  8. V Yılmaz, H Eray Çelik. A statistical approach to estimate the wind speed distribution: the case of Gelibolu region. Doğuş Üniversitesi Dergisi, 9 (1), 2008, 122-132.

  9. B Yüksel, E Ateş. Determining Balıkesir’s energy potential using a regression analysis computer program" Journal of Renewable Energy 2014 (2014)

  10. Merovci, Faton, and Ibrahim Elbatal. "Weibull rayleigh distribution: Theory and applications." Applied Mathematics & Information Sciences 9, no. 4 (2015): 2127.

  11. T. R. Ayodele,., A. A. Jimoh, J. L. Munda, and J. T. Agee. "A statistical analysis of wind distribution and wind power potential in the coastal region of South Africa." International Journal of Green Energy 10, no. 8 (2013): 814-834.

  12. T Ayodele, R Adisa A Jimoh, Josiah L Munda, JT Agee. Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parameters. Journal of Energy in Southern Africa 23(2), 2012, 30-38.

  13. R Gupta, A Biswas. Wind data analysis of Silchar (Assam, India) by Rayleighs and Weibull methods. Journal of Mechanical Engineering Research 2(1), 2010, 010-024

  14. http://www.probharat.com/india/states/maps/assam-political-map.php

  15. www.meteoblue.com

  16. https://www.weatheronline.in/weather/maps/city?

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