Science Journal of Energy Engineering

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Algorithm for the Performance Evaluation of Three Selected Wind Energy Conversion Systems (WECS) for Electricity Generation in Minna, Nigeria

Received: 19 June 2019    Accepted: 18 July 2019    Published: 12 October 2019
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Abstract

Most of the wind energy conversion systems are failing in many developing countries such as Nigeria due to poor and un-appropriate site selection. Ten years (2001-2010) daily average wind speed data measured at 10m height for Minna (9.6°N, 6.6°E and 251m) were obtained from Nigerian Meteorological Agency (NIMET) and the characteristics of the three small scale wind energy conversion systems with power rating of 1, 1.5 and 3.0 kW obtained from the manufacturers websites were used in this study for the performance evaluation of three selected wind energy conversion system (WECS). The performance of the selected WECS were compared using the capacity factors obtained for the turbines from the algorithms developed, that combine the daily average wind speed and standard deviation for the location with the selected turbines characteristics provided by the manufacturers. The annual energy output for the WECS were found to be 1.37MWh, 1.23MWh and 2.53MWh with corresponding capacity factor of 18.8%, 11.2% and 8.4% respectively from e3001 (1kW), Ge-Power System 1.5SL (1.5kW) and Gv-3kW (3.0 kW). The e30001 (1kW) was observed to performed better with capacity factor of 18.8% as against 11.2% and 8.4% for Ge-Power system 1.5SL (1.5kW) and Gv-3kW (3.0 kW) respectively for Minna location.

DOI 10.11648/j.sjee.20190702.12
Published in Science Journal of Energy Engineering (Volume 7, Issue 2, June 2019)
Page(s) 29-34
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Algorithm, Wind Speed, Energy, Capacity Factor and Levelised

References
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Author Information
  • Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria

  • Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria

  • Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria

  • Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria

  • Department of Mathematics, Usmanu Danfodiyo University, Sokoto, Nigeria

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    Garba Musa Argungu, Abubakar Umar Moreh, Kabir Ahmed Dabai, Sakina Abdulazeez, Samaila Kamba Ahmad. (2019). Algorithm for the Performance Evaluation of Three Selected Wind Energy Conversion Systems (WECS) for Electricity Generation in Minna, Nigeria. Science Journal of Energy Engineering, 7(2), 29-34. https://doi.org/10.11648/j.sjee.20190702.12

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    ACS Style

    Garba Musa Argungu; Abubakar Umar Moreh; Kabir Ahmed Dabai; Sakina Abdulazeez; Samaila Kamba Ahmad. Algorithm for the Performance Evaluation of Three Selected Wind Energy Conversion Systems (WECS) for Electricity Generation in Minna, Nigeria. Sci. J. Energy Eng. 2019, 7(2), 29-34. doi: 10.11648/j.sjee.20190702.12

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    AMA Style

    Garba Musa Argungu, Abubakar Umar Moreh, Kabir Ahmed Dabai, Sakina Abdulazeez, Samaila Kamba Ahmad. Algorithm for the Performance Evaluation of Three Selected Wind Energy Conversion Systems (WECS) for Electricity Generation in Minna, Nigeria. Sci J Energy Eng. 2019;7(2):29-34. doi: 10.11648/j.sjee.20190702.12

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  • @article{10.11648/j.sjee.20190702.12,
      author = {Garba Musa Argungu and Abubakar Umar Moreh and Kabir Ahmed Dabai and Sakina Abdulazeez and Samaila Kamba Ahmad},
      title = {Algorithm for the Performance Evaluation of Three Selected Wind Energy Conversion Systems (WECS) for Electricity Generation in Minna, Nigeria},
      journal = {Science Journal of Energy Engineering},
      volume = {7},
      number = {2},
      pages = {29-34},
      doi = {10.11648/j.sjee.20190702.12},
      url = {https://doi.org/10.11648/j.sjee.20190702.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sjee.20190702.12},
      abstract = {Most of the wind energy conversion systems are failing in many developing countries such as Nigeria due to poor and un-appropriate site selection. Ten years (2001-2010) daily average wind speed data measured at 10m height for Minna (9.6°N, 6.6°E and 251m) were obtained from Nigerian Meteorological Agency (NIMET) and the characteristics of the three small scale wind energy conversion systems with power rating of 1, 1.5 and 3.0 kW obtained from the manufacturers websites were used in this study for the performance evaluation of three selected wind energy conversion system (WECS). The performance of the selected WECS were compared using the capacity factors obtained for the turbines from the algorithms developed, that combine the daily average wind speed and standard deviation for the location with the selected turbines characteristics provided by the manufacturers. The annual energy output for the WECS were found to be 1.37MWh, 1.23MWh and 2.53MWh with corresponding capacity factor of 18.8%, 11.2% and 8.4% respectively from e3001 (1kW), Ge-Power System 1.5SL (1.5kW) and Gv-3kW (3.0 kW). The e30001 (1kW) was observed to performed better with capacity factor of 18.8% as against 11.2% and 8.4% for Ge-Power system 1.5SL (1.5kW) and Gv-3kW (3.0 kW) respectively for Minna location.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Algorithm for the Performance Evaluation of Three Selected Wind Energy Conversion Systems (WECS) for Electricity Generation in Minna, Nigeria
    AU  - Garba Musa Argungu
    AU  - Abubakar Umar Moreh
    AU  - Kabir Ahmed Dabai
    AU  - Sakina Abdulazeez
    AU  - Samaila Kamba Ahmad
    Y1  - 2019/10/12
    PY  - 2019
    N1  - https://doi.org/10.11648/j.sjee.20190702.12
    DO  - 10.11648/j.sjee.20190702.12
    T2  - Science Journal of Energy Engineering
    JF  - Science Journal of Energy Engineering
    JO  - Science Journal of Energy Engineering
    SP  - 29
    EP  - 34
    PB  - Science Publishing Group
    SN  - 2376-8126
    UR  - https://doi.org/10.11648/j.sjee.20190702.12
    AB  - Most of the wind energy conversion systems are failing in many developing countries such as Nigeria due to poor and un-appropriate site selection. Ten years (2001-2010) daily average wind speed data measured at 10m height for Minna (9.6°N, 6.6°E and 251m) were obtained from Nigerian Meteorological Agency (NIMET) and the characteristics of the three small scale wind energy conversion systems with power rating of 1, 1.5 and 3.0 kW obtained from the manufacturers websites were used in this study for the performance evaluation of three selected wind energy conversion system (WECS). The performance of the selected WECS were compared using the capacity factors obtained for the turbines from the algorithms developed, that combine the daily average wind speed and standard deviation for the location with the selected turbines characteristics provided by the manufacturers. The annual energy output for the WECS were found to be 1.37MWh, 1.23MWh and 2.53MWh with corresponding capacity factor of 18.8%, 11.2% and 8.4% respectively from e3001 (1kW), Ge-Power System 1.5SL (1.5kW) and Gv-3kW (3.0 kW). The e30001 (1kW) was observed to performed better with capacity factor of 18.8% as against 11.2% and 8.4% for Ge-Power system 1.5SL (1.5kW) and Gv-3kW (3.0 kW) respectively for Minna location.
    VL  - 7
    IS  - 2
    ER  - 

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