Prospect evaluation of a wind farm project for a smart campus in the Federal University Of Kashere Gombe State

Ohakwere-Eze Michael C., . and Ombu Righteous, . and A. A. Udo, . and Shimo Mela S., . (2020) Prospect evaluation of a wind farm project for a smart campus in the Federal University Of Kashere Gombe State. [Proceedings Paper]

The sources of energy we use in our day-day activities contributes significantly to the alarming global warming which the world is currently experiencing. A technical solution to the menace of an environmental friendly sustainable and reliable energy is the peak of this research. 2014-2017 years wind speed data measured at a height of 2m were analyzed using the Weibulls distribution method. The results show that all through the studied years and seasons the mean wind speed distribution for the rainy season showed significant stability as seen from K-values. However the dry season has the highest K-value of 2.08 signifying more stable winds during the season. The monthly averages computed for height of 60m above ground level ranges between 2.15m/s and 6.42m/s with the maximum wind speed in June while the minimum wind speed occurred in September. This implies that the wind velocity of the study area tends to be lower during the end of the rainy season. Nevertheless the deviation in the mean wind speed was not significant as such wind energy can serve as a reliable energy source for the campus hence could be harvested.

Full text available from: Official URL: https://spel3.upm.edu.my/max/dokumen/green2020_E-P...

Abstract

The sources of energy we use in our day-day activities contributes significantly to the alarming global warming which the world is currently experiencing. A technical solution to the menace of an environmental friendly sustainable and reliable energy is the peak of this research. 2014-2017 years wind speed data measured at a height of 2m were analyzed using the Weibulls distribution method. The results show that all through the studied years and seasons the mean wind speed distribution for the rainy season showed significant stability as seen from K-values. However the dry season has the highest K-value of 2.08 signifying more stable winds during the season. The monthly averages computed for height of 60m above ground level ranges between 2.15m/s and 6.42m/s with the maximum wind speed in June while the minimum wind speed occurred in September. This implies that the wind velocity of the study area tends to be lower during the end of the rainy season. Nevertheless the deviation in the mean wind speed was not significant as such wind energy can serve as a reliable energy source for the campus hence could be harvested.

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Item Type:	Proceedings Paper
AGROVOC Term:	Wind energy
AGROVOC Term:	Renewable energy
AGROVOC Term:	Wind speed
AGROVOC Term:	Universities
AGROVOC Term:	Project evaluation
AGROVOC Term:	prospecting
AGROVOC Term:	Energy sources
Geographical Term:	MALAYSIA
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 05:16
URI:	http://webagris.upm.edu.my/id/eprint/13827

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