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

Garba Musa Argungu; Abubakar Umar Moreh; Kabir Ahmed Dabai; Sakina Abdulazeez; Samaila Kamba Ahmad

doi:doi:10.11648/j.sjee.20190702.12

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

Garba Musa Argungu, Abubakar Umar Moreh, Kabir Ahmed Dabai, Sakina Abdulazeez, Samaila Kamba Ahmad

Published in Science Journal of Energy Engineering (Volume 7, Issue 2)

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.

Published in	Science Journal of Energy Engineering (Volume 7, Issue 2)
DOI	10.11648/j.sjee.20190702.12
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), 2019. Published by Science Publishing Group

Keywords

Algorithm, Wind Speed, Energy, Capacity Factor and Levelised

References

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APA Style

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://article.sciencepublishinggroup.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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Author Information

Garba Musa Argungu

Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria
Abubakar Umar Moreh

Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria
Kabir Ahmed Dabai

Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria
Sakina Abdulazeez

Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria
Samaila Kamba Ahmad

Department of Mathematics, Usmanu Danfodiyo University, Sokoto, Nigeria

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APA Style

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

Copy | Download

@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://article.sciencepublishinggroup.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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