Feasibility Assessment of Wind Energy-Driven Automatic Irrigation System for Jos Plateau

Nigeria's over-reliance on rainfall agriculture is reducing crop yield and keeping farm output below demand, despite irrigation farming providing insurance for rain-fed agriculture even during rainy seasons. The location of study is Jos, Plateau State, where year-round wind speeds of 3 to 9.37 m/s make providing electricity for irrigation water pumping feasible, and the nature of the terrain which enables the pump hydro storage technology. This study explores the feasibility of a wind-powered pump hydro storage scheme for smart irrigation systems, generating electricity to pump water and charge a battery bank. The farm uses a battery storage for irrigation control, powered by a microcontroller. The system monitors farm parameters using soil moisture and water level sensors. Raw wind data was upgraded from 10m to 50m hub height for improved power generation. The S3-1000-B8 wind turbine produces enough energy to pump a minimum of 8.7 m3 and a maximum of 176 m3 of water every week. Polynomial regression was used to calculate the wind power produced by this turbine, making it appropriate for this task. The 180 m3 of irrigation water needed per week to irrigate 10,000 m2 of agriculture was provided by 20 (S3-1000-B8) wind turbines. 720m3 of stored water is required for a month of safe irrigation. Based on wind potential, a single wind turbine can pump 234.864m3 of water and provide an average of 16kWh of energy every month. Consequently, the wind farm produces about 336 kWh and pumps 4,932 m3 in total.

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Publication Details

Journal
Asian Journal of Science Technology Engineering and Art
Published
2025-02-26
DOI
https://doi.org/10.58578/ajstea.v3i2.5034
Primary Topic
Wind Turbine Control Systems
Type
article
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article

Feasibility Assessment of Wind Energy-Driven Automatic Irrigation System for Jos Plateau

Yunus Musa, Hassan Aliyu, S Daniel, Buhari Mamman et al.
Asian Journal of Science Technology Engineering and Art
Wind Turbine Control Systems
article

Feasibility Assessment of Wind Energy-Driven Automatic Irrigation System for Jos Plateau

Yunus Musa, Hassan Aliyu, S Daniel, Buhari Mamman, D. M. Nazif
article en

Abstract

Nigeria's over-reliance on rainfall agriculture is reducing crop yield and keeping farm output below demand, despite irrigation farming providing insurance for rain-fed agriculture even during rainy seasons. The location of study is Jos, Plateau State, where year-round wind speeds of 3 to 9.37 m/s make providing electricity for irrigation water pumping feasible, and the nature of the terrain which enables the pump hydro storage technology. This study explores the feasibility of a wind-powered pump hydro storage scheme for smart irrigation systems, generating electricity to pump water and charge a battery bank. The farm uses a battery storage for irrigation control, powered by a microcontroller. The system monitors farm parameters using soil moisture and water level sensors. Raw wind data was upgraded from 10m to 50m hub height for improved power generation. The S3-1000-B8 wind turbine produces enough energy to pump a minimum of 8.7 m3 and a maximum of 176 m3 of water every week. Polynomial regression was used to calculate the wind power produced by this turbine, making it appropriate for this task. The 180 m3 of irrigation water needed per week to irrigate 10,000 m2 of agriculture was provided by 20 (S3-1000-B8) wind turbines. 720m3 of stored water is required for a month of safe irrigation. Based on wind potential, a single wind turbine can pump 234.864m3 of water and provide an average of 16kWh of energy every month. Consequently, the wind farm produces about 336 kWh and pumps 4,932 m3 in total.

Asian Journal of Science Technology Engineering and ArtVol. 3(2)
Abubakar Tafawa Balewa University (NG), Sa'adu Zungur University (NG)
Openalex Percentile: Top 97%
Wind Turbine Control Systems
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Feasibility Assessment of Wind Energy-Driven Automatic Irrigation System for Jos Plateau — Yunus Musa, Hassan Aliyu, et al. · Asian Journal of Science Technology Engineering and Art (2025) | TGRS Research Map | TGRS