IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v36y2011i12p3257-3267.html
   My bibliography  Save this article

A GIS based assessment of potential for windfarms in India

Author

Listed:
  • Hossain, Jami
  • Sinha, Vinay
  • Kishore, V.V.N.

Abstract

The Wind Energy Potential for India has been assessed, assuming as if the whole of the country (apart from the urban and the Himalayan areas) is covered with windfarms, by an innovative approach using GIS platform, wind speed measurements under government’s program and the NCEP/NCAR Reanalysis data.11The NCEP/NCAR Reanalysis Project is a joint project between the National Centres for Environmental Prediction (NCEP, formerly "NMC") and the National Centre for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analysis using historical data and as well to produce analysis of the current atmospheric state (Climate Data Assimilation System, CDAS). It contains the information of climate variables with different time setups. For the analysis, data has been collected from different data sources like, COADS surface marine data, the comprehensive Ocean-Atmospheric Data set includes ships, fixed buoys, drifting buoys, pack-ice buoys, near- surface data from ocean station reports. Still some work is in progress to collect all the surface marine data for 1947-79. Aircraft data, Surface land synoptic data, special sensing microwave imager data, surface wind speeds, satellite cloud drift winds, and satellite sounder data. The methodology involves setting up a grid of 1 sqkm resolution over areas other than urban settlements and Himalayan regions, computation of wind speeds at boundary layer level through vertical extrapolation of known or measured mean annual wind speed and interpolation of the extrapolated wind speeds to arrive at a mean annual wind field at boundary layer level and then computation of wind speed at the hub-height of the wind turbine. Power output from a standard wind turbine is computed and only areas showing a Plant Load Factor (PLF) higher than 15% are considered in the potential assessment. The results of this exercise indicate the potential for windfarms in India to be significantly higher than what was assumed earlier. The analysis and its revalidation using data measured at varying heights in different parts of the country establishe this approach as useful and perhaps a powerful tool to undertake wind resource potential assessments. This analysis and the results are discussed in the backdrop of the general energy scenario in India and earlier assessments of wind potential in the country.

Suggested Citation

  • Hossain, Jami & Sinha, Vinay & Kishore, V.V.N., 2011. "A GIS based assessment of potential for windfarms in India," Renewable Energy, Elsevier, vol. 36(12), pages 3257-3267.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:12:p:3257-3267
    DOI: 10.1016/j.renene.2011.04.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148111001893
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2011.04.017?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. Aras, Haydar, 2003. "Wind energy status and its assessment in Turkey," Renewable Energy, Elsevier, vol. 28(14), pages 2213-2220.
    2. Chang, Tsang-Jung & Wu, Yu-Ting & Hsu, Hua-Yi & Chu, Chia-Ren & Liao, Chun-Min, 2003. "Assessment of wind characteristics and wind turbine characteristics in Taiwan," Renewable Energy, Elsevier, vol. 28(6), pages 851-871.
    3. Jagadeesh, A., 2000. "Wind energy development in Tamil Nadu and Andhra Pradesh, India Institutional dynamics and barriers -- A case study," Energy Policy, Elsevier, vol. 28(3), pages 157-168, March.
    4. Carolin Mabel, M. & Fernandez, E., 2008. "Growth and future trends of wind energy in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1745-1757, August.
    5. Hillring, Bengt & Krieg, Roland, 1998. "Wind energy potential in southern Sweden—Example of planning methodology," Renewable Energy, Elsevier, vol. 13(4), pages 471-479.
    6. Hossain, Jami, 1993. "Grid integration of renewables in developing countries : A case study of high wind penetration in the Tamil Nadu electricity utility," Energy Policy, Elsevier, vol. 21(8), pages 868-874, August.
    7. Golait, Neeraj & Moharil, R.M. & Kulkarni, P.S., 2009. "Wind electric power in the world and perspectives of its development in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 233-247, January.
    8. Ramachandra, T.V. & Subramanian, D.K. & Joshi, N.V., 1997. "Wind energy potential assessment in Uttara Kannada district of Karnataka, India," Renewable Energy, Elsevier, vol. 10(4), pages 585-611.
    Full references (including those not matched with items on IDEAS)

    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. Neeraj Sharma & Rajat Agrawal, 2017. "Locating a Wind Energy Project: A Case of a Leading Oil and Gas Producer in India," Vision, , vol. 21(2), pages 172-194, June.
    2. Singh, Rhythm, 2018. "Energy sufficiency aspirations of India and the role of renewable resources: Scenarios for future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2783-2795.
    3. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
    4. Thapar, Sapan & Sharma, Seema & Verma, Ashu, 2018. "Key determinants of wind energy growth in India: Analysis of policy and non-policy factors," Energy Policy, Elsevier, vol. 122(C), pages 622-638.
    5. Ming-Hong Chen & Yan-Ting Lin & Pao-Hsiung Chiu & Ching-Chang Cho & Huei Chu Weng, 2020. "Wind Resources Assessment and Development of Grid Connected Wind Farm—A Case Study," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
    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. Suyash Jolly & Rob Raven, 2013. "Collective institutional entrepreneurship and contestations in wind energy in India," Working Papers 13-10, Eindhoven Center for Innovation Studies, revised Nov 2013.
    8. Bhutto, Abdul Waheed & Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2013. "Greener energy: Issues and challenges for Pakistan—wind power prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 519-538.
    9. Carolin Mabel, M. & Fernandez, E., 2008. "Growth and future trends of wind energy in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1745-1757, August.
    10. Calif, Rudy & Emilion, Richard & Soubdhan, Ted, 2011. "Classification of wind speed distributions using a mixture of Dirichlet distributions," Renewable Energy, Elsevier, vol. 36(11), pages 3091-3097.
    11. 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.
    12. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    13. Ramachandra, T.V., 2009. "RIEP: Regional integrated energy plan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 285-317, February.
    14. Ritter, Matthias & Shen, Zhiwei & López Cabrera, Brenda & Odening, Martin & Deckert, Lars, 2015. "Designing an index for assessing wind energy potential," Renewable Energy, Elsevier, vol. 83(C), pages 416-424.
    15. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    16. Jaramillo, O.A. & Borja, M.A., 2004. "Wind speed analysis in La Ventosa, Mexico: a bimodal probability distribution case," Renewable Energy, Elsevier, vol. 29(10), pages 1613-1630.
    17. Farboud Khatami & Erfan Goharian, 2022. "Beyond Profitable Shifts to Green Energies, towards Energy Sustainability," Sustainability, MDPI, vol. 14(8), pages 1-28, April.
    18. Nalan, Çiçek Bezir & Murat, Öztürk & Nuri, Özek, 2009. "Renewable energy market conditions and barriers in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1428-1436, August.
    19. Katinas, Vladislovas & Gecevicius, Giedrius & Marciukaitis, Mantas, 2018. "An investigation of wind power density distribution at location with low and high wind speeds using statistical model," Applied Energy, Elsevier, vol. 218(C), pages 442-451.
    20. Jiang, Jheng-Lun & Chang, Hong-Chan & Kuo, Cheng-Chien & Huang, Cheng-Kai, 2013. "Transient overvoltage phenomena on the control system of wind turbines due to lightning strike," Renewable Energy, Elsevier, vol. 57(C), pages 181-189.

    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:renene:v:36:y:2011:i:12:p:3257-3267. 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.journals.elsevier.com/renewable-energy .

    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.