IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v39y2014icp530-545.html
   My bibliography  Save this article

Wind power potential assessment of 12 locations in western Himalayan region of India

Author

Listed:
  • Chandel, S.S.
  • Ramasamy, P.
  • Murthy, K.S.R

Abstract

Wind power potential of a location has to be assessed for its effective utilization. The objective of the present study is to assess the wind resource potential of the western Himalayan Indian state of Himachal Pradesh to identify potential sites along with providing inputs to policy makers for exploiting wind potential of the region for wind power generation and mechanical applications. An overview of current status of wind resource assessment studies is presented to identify suitable techniques. Wind Energy Pattern Factor (WEPF) method is used to assess the wind potential of 12 locations covering different terrains and climatic zones using wind data for the period 2008–2012. Weibull and cumulative wind distributions, Weibull parameters and Wind Power Density (WPD) are determined for these locations. The highest daily mean wind speeds are observed in summers and lowest in winters in the region. Wind shear analysis is carried out which shows that wind speeds at 30m, 50m, 80m and 100m hub heights are found to increase by 10–17%, 26%, 34% and 39% respectively than those measured at 10m height. The mean wind speed and WPD for the 12 locations are found to be in the range 3.9–4.7m/s, 4.7–5.8m/s, 5.7–7m/s, 6.2–7.7m/s and 14.09–22.15W/m2, 52.67–82.79W/m2, 97.23–152.82W/m2, 170.9–268.62W/m2, 223.37–351.1W/m2 at 30m, 50m, 80m and 100m heights respectively; thereby indicating fairly good wind potential for rooftop micro-wind turbines, battery charging, water pumping and wind power generation in western Himalayan region. WEPF method is also tested for accuracy. A correlation between measured wind data of Hamirpur and NASA wind data is developed with root mean square error as 0.3855 and R2 as 92.61% showing that the method has sufficient accuracy. The correlation is used to predict measured wind speeds and power for locations for which measured wind data are not available. Further follow-up research areas are also identified.

Suggested Citation

  • Chandel, S.S. & Ramasamy, P. & Murthy, K.S.R, 2014. "Wind power potential assessment of 12 locations in western Himalayan region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 530-545.
    • Handle: RePEc:eee:rensus:v:39:y:2014:i:c:p:530-545
    DOI: 10.1016/j.rser.2014.07.050
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032114005024
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2014.07.050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aggarwal, R.K. & Chandel, S.S., 2010. "Emerging energy scenario in Western Himalayan state of Himachal Pradesh," Energy Policy, Elsevier, vol. 38(5), pages 2545-2551, May.
    2. Jung, Jaesung & Broadwater, Robert P., 2014. "Current status and future advances for wind speed and power forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 762-777.
    3. Mirhosseini, M. & Sharifi, F. & Sedaghat, A., 2011. "Assessing the wind energy potential locations in province of Semnan in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 449-459, January.
    4. Keyhani, A. & Ghasemi-Varnamkhasti, M. & Khanali, M. & Abbaszadeh, R., 2010. "An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran," Energy, Elsevier, vol. 35(1), pages 188-201.
    5. Đurišić, Željko & Mikulović, Jovan, 2012. "A model for vertical wind speed data extrapolation for improving wind resource assessment using WAsP," Renewable Energy, Elsevier, vol. 41(C), pages 407-411.
    6. Mathaba, Tebello & Mpholo, Moeketsi & Letuma, Mosuoe, 2012. "Velocity and power density analysis of the wind at Letšeng-la-terae in Lesotho," Renewable Energy, Elsevier, vol. 46(C), pages 210-217.
    7. Foley, Aoife M. & Leahy, Paul G. & Marvuglia, Antonino & McKeogh, Eamon J., 2012. "Current methods and advances in forecasting of wind power generation," Renewable Energy, Elsevier, vol. 37(1), pages 1-8.
    8. Joselin Herbert, G.M. & Iniyan, S. & Sreevalsan, E. & Rajapandian, S., 2007. "A review of wind energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1117-1145, August.
    9. Chang, Tian Pau, 2011. "Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application," Applied Energy, Elsevier, vol. 88(1), pages 272-282, January.
    10. Lashin, Aref & Shata, Ahmed, 2012. "An analysis of wind power potential in Port Said, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6660-6667.
    11. Carvalho, D. & Rocha, A. & Santos, C. Silva & Pereira, R., 2013. "Wind resource modelling in complex terrain using different mesoscale–microscale coupling techniques," Applied Energy, Elsevier, vol. 108(C), pages 493-504.
    12. Mostafaeipour, Ali, 2010. "Feasibility study of harnessing wind energy for turbine installation in province of Yazd in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 93-111, January.
    13. Katinas, Vladislovas & Sankauskas, Donatas & Markevičius, Antanas & Perednis, Eugenijus, 2014. "Investigation of the wind energy characteristics and power generation in Lithuania," Renewable Energy, Elsevier, vol. 66(C), pages 299-304.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bahrami, Arian & Teimourian, Amir & Okoye, Chiemeka Onyeka & Khosravi, Nima, 2019. "Assessing the feasibility of wind energy as a power source in Turkmenistan; a major opportunity for Central Asia's energy market," Energy, Elsevier, vol. 183(C), pages 415-427.
    2. Murthy, K.S.R. & Rahi, O.P., 2016. "Preliminary assessment of wind power potential over the coastal region of Bheemunipatnam in northern Andhra Pradesh, India," Renewable Energy, Elsevier, vol. 99(C), pages 1137-1145.
    3. Ju-Young Shin & Changsam Jeong & Jun-Haeng Heo, 2018. "A Novel Statistical Method to Temporally Downscale Wind Speed Weibull Distribution Using Scaling Property," Energies, MDPI, vol. 11(3), pages 1-27, March.
    4. Yagang Zhang & Jingyun Yang & Kangcheng Wang & Yinding Wang, 2014. "Lorenz Wind Disturbance Model Based on Grey Generated Components," Energies, MDPI, vol. 7(11), pages 1-16, November.
    5. Izadyar, Nima & Ong, Hwai Chyuan & Chong, W.T. & Leong, K.Y., 2016. "Resource assessment of the renewable energy potential for a remote area: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 908-923.
    6. Mehr Gul & Nengling Tai & Wentao Huang & Muhammad Haroon Nadeem & Moduo Yu, 2019. "Assessment of Wind Power Potential and Economic Analysis at Hyderabad in Pakistan: Powering to Local Communities Using Wind Power," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
    7. Baseer, M.A. & Meyer, J.P. & Alam, Md. Mahbub & Rehman, S., 2015. "Wind speed and power characteristics for Jubail industrial city, Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1193-1204.
    8. Ramasamy, P. & Chandel, S.S. & Yadav, Amit Kumar, 2015. "Wind speed prediction in the mountainous region of India using an artificial neural network model," Renewable Energy, Elsevier, vol. 80(C), pages 338-347.
    9. Upma Singh & Mohammad Rizwan & Hasmat Malik & Fausto Pedro García Márquez, 2022. "Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review," Energies, MDPI, vol. 15(6), pages 1-39, March.
    10. Ayodele, T.R. & Ogunjuyigbe, A.S.O., 2016. "Wind energy potential of Vesleskarvet and the feasibility of meeting the South African׳s SANAE IV energy demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 226-234.
    11. Kazak, Jan & van Hoof, Joost & Szewranski, Szymon, 2017. "Challenges in the wind turbines location process in Central Europe – The use of spatial decision support systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 425-433.
    12. Yang, An-Shik & Su, Ying-Ming & Wen, Chih-Yung & Juan, Yu-Hsuan & Wang, Wei-Siang & Cheng, Chiang-Ho, 2016. "Estimation of wind power generation in dense urban area," Applied Energy, Elsevier, vol. 171(C), pages 213-230.
    13. Meng-Hui Wang & Mei-Ling Huang & Zi-Yi Zhan & Chong-Jie Huang, 2016. "Application of the Extension Taguchi Method to Optimal Capability Planning of a Stand-alone Power System," Energies, MDPI, vol. 9(3), pages 1-17, March.
    14. Siyavash Filom & Soheil Radfar & Roozbeh Panahi & Erfan Amini & Mehdi Neshat, 2021. "Exploring Wind Energy Potential as a Driver of Sustainable Development in the Southern Coasts of Iran: The Importance of Wind Speed Statistical Distribution Model," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    15. Parajuli, Samvid & Narayan Bhattarai, Tek & Gorjian, Shiva & Vithanage, Meththika & Raj Paudel, Shukra, 2023. "Assessment of potential renewable energy alternatives for a typical greenhouse aquaponics in Himalayan Region of Nepal," Applied Energy, Elsevier, vol. 344(C).
    16. Murthy, K.S.R. & Rahi, O.P., 2017. "A comprehensive review of wind resource assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1320-1342.
    17. Saeed, Muhammad Abid & Ahmed, Zahoor & Zhang, Weidong, 2020. "Wind energy potential and economic analysis with a comparison of different methods for determining the optimal distribution parameters," Renewable Energy, Elsevier, vol. 161(C), pages 1092-1109.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Khahro, Shahnawaz Farhan & Tabbassum, Kavita & Mahmood Soomro, Amir & Liao, Xiaozhong & Alvi, Muhammad Bux & Dong, Lei & Manzoor, M. Farhan, 2014. "Techno-economical evaluation of wind energy potential and analysis of power generation from wind at Gharo, Sindh Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 460-474.
    2. Bahrami, Arian & Teimourian, Amir & Okoye, Chiemeka Onyeka & Khosravi, Nima, 2019. "Assessing the feasibility of wind energy as a power source in Turkmenistan; a major opportunity for Central Asia's energy market," Energy, Elsevier, vol. 183(C), pages 415-427.
    3. El Alimi, Souheil & Maatallah, Taher & Dahmouni, Anouar Wajdi & Ben Nasrallah, Sassi, 2012. "Modeling and investigation of the wind resource in the gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5466-5478.
    4. Murthy, K.S.R. & Rahi, O.P., 2017. "A comprehensive review of wind resource assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1320-1342.
    5. Minaeian, Ali & Sedaghat, Ahmad & Mostafaeipour, Ali & Akbar Alemrajabi, Ali, 2017. "Exploring economy of small communities and households by investing on harnessing wind energy in the province of Sistan-Baluchestan in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 835-847.
    6. Abul Kalam Azad & Mohammad Golam Rasul & Talal Yusaf, 2014. "Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications," Energies, MDPI, vol. 7(5), pages 1-30, May.
    7. Saeidi, D. & Mirhosseini, M. & Sedaghat, A. & Mostafaeipour, A., 2011. "Feasibility study of wind energy potential in two provinces of Iran: North and South Khorasan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3558-3569.
    8. Alkhalidi, Mohamad A. & Al-Dabbous, Shoug Kh. & Neelamani, S. & Aldashti, Hassan A., 2019. "Wind energy potential at coastal and offshore locations in the state of Kuwait," Renewable Energy, Elsevier, vol. 135(C), pages 529-539.
    9. Mostafaeipour, Ali & Sedaghat, Ahmad & Ghalishooyan, Morteza & Dinpashoh, Yagob & Mirhosseini, Mojtaba & Sefid, Mohammad & Pour-Rezaei, Maryam, 2013. "Evaluation of wind energy potential as a power generation source for electricity production in Binalood, Iran," Renewable Energy, Elsevier, vol. 52(C), pages 222-229.
    10. Sergei Kolesnik & Yossi Rabinovitz & Michael Byalsky & Asher Yahalom & Alon Kuperman, 2023. "Assessment of Wind Speed Statistics in Samaria Region and Potential Energy Production," Energies, MDPI, vol. 16(9), pages 1-35, May.
    11. Seyed Reza Mirnezami & Amin Mohseni Cheraghlou, 2022. "Wind Power in Iran: Technical, Policy, and Financial Aspects for Better Energy Resource Management," Energies, MDPI, vol. 15(9), pages 1-18, April.
    12. Fazelpour, Farivar & Soltani, Nima & Soltani, Sina & Rosen, Marc A., 2015. "Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 87-99.
    13. Mostafaeipour, Ali & Jadidi, Mohsen & Mohammadi, Kasra & Sedaghat, Ahmad, 2014. "An analysis of wind energy potential and economic evaluation in Zahedan, Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 641-650.
    14. Mollahosseini, Arash & Hosseini, Seyed Amid & Jabbari, Mostafa & Figoli, Alberto & Rahimpour, Ahmad, 2017. "Renewable energy management and market in Iran: A holistic review on current state and future demands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 774-788.
    15. Mehr Gul & Nengling Tai & Wentao Huang & Muhammad Haroon Nadeem & Moduo Yu, 2019. "Assessment of Wind Power Potential and Economic Analysis at Hyderabad in Pakistan: Powering to Local Communities Using Wind Power," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
    16. Mostafaeipour, A. & Sedaghat, A. & Dehghan-Niri, A.A. & Kalantar, V., 2011. "Wind energy feasibility study for city of Shahrbabak in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2545-2556, August.
    17. Wu, Jie & Wang, Jianzhou & Chi, Dezhong, 2013. "Wind energy potential assessment for the site of Inner Mongolia in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 215-228.
    18. Yaniktepe, B. & Koroglu, T. & Savrun, M.M., 2013. "Investigation of wind characteristics and wind energy potential in Osmaniye, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 703-711.
    19. López, Germánico & Arboleya, Pablo, 2022. "Short-term wind speed forecasting over complex terrain using linear regression models and multivariable LSTM and NARX networks in the Andes Mountains, Ecuador," Renewable Energy, Elsevier, vol. 183(C), pages 351-368.
    20. Amirinia, Gholamreza & Mafi, Somayeh & Mazaheri, Said, 2017. "Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS," Renewable Energy, Elsevier, vol. 113(C), pages 915-929.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:39:y:2014:i:c:p:530-545. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.