Feasibility Study on Automatic Irrigation Scheme on the Jos Plateau Using Wind Power
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327-348
Digital Object Identifier:
10.58578/ajstea.v3i2.4990
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Authors:Samson Daniel1, Hassan Aliyu2, Buhari Mamman3, Yarima Sa’id Musa4, Muhammad Nazif Danladi5*
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Abstract
The over-dependence on rainfall agriculture is affecting crop production in Nigeria today, reducing crop yield and keeping farm output below demand. Irrigation farming is insurance for rain-fed agriculture even during the rainy season. The target site is Jos, Plateau state, with wind speed potential of 3ms-1 to 9.37ms-1 all year round, making it viable to generate power for pumping irrigation water. And also, the nature of the terrain which will enable or support the pump hydro storage technology. In this work, the focus is on the feasibility of a wind-powered pump hydro storage scheme for smart irrigation systems. This provided weekly irrigation water. The wind turbine farm can generate electric sufficient power to pump water from a lower reservoir to a higher head reservoir and also charge a batstery bank. At the time of irrigation, water is released from the higher reservoir through a series of control valves installed in the farm. The battery storage was used as a power source for the irrigation control system which uses the microcontroller to monitor and control the farm parameters using soil moisture sensors, a water level sensor for the upper reservoir, and the outlet valve. This system is expected to be fully automatic. The raw wind data collected was upgraded from 10m to a hub height of 50m to improve power generation. The wind turbine (S3-1000-B8) generates power to pump the minimum amount of water of 8.7m3 and a maximum of 176m3 per week. The power generated from the wind by this turbine was determined using polynomial regression which makes it suitable for this work. Twenty (S3-1000-B8) wind turbines were used to supply 180m3 of irrigation water required per week to irrigate 10,000m2 of farmland. For a one-month safe irrigation period, 720m3 of storage water is needed. From the wind potential, a single wind turbine can generate an average energy of 16kWh in a month and pump 234.864m3 of water. Therefore, in total the wind form will generate 336kWh and pump equivalent of 4,932m3.
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References
Adenugba, F., & Misra, S. (2019). Smart irrigation system for environmental sustainability in Africa : An Internet of Everything ( IoE ) approach. 16(December 2018), 5490–5503. https://doi.org/10.3934/mbe.2019273
Akour, S. N., Al-Heymari, M., Ahmed, T., & Khalil, K. A. (2018). Experimental and theoretical investigation of micro wind turbine for low wind speed regions. Renewable Energy, 116, 215–223. https://doi.org/10.1016/j.renene.2017.09.076
Azad, A. K., Rasul, M. G., Islam, R., & Shishir, I. R. (2015). Analysis of wind energy prospect for power generation by three Weibull distribution methods. Energy Procedia, 75, 722–727. https://doi.org/10.1016/j.egypro.2015.07.499
Duker, A., Cambaza, C., Saveca, P., Ponguane, S., Mawoyo, T. A., Hulshof, M., Nkomo, L., Hussey, S., Van den Pol, B., Vuik, R., Stigter, T., & van der Zaag, P. (2020). Using nature-based water storage for smallholder irrigated agriculture in African drylands: Lessons from frugal innovation pilots in Mozambique and Zimbabwe. Environmental Science and Policy, 107(December 2019), 1–6. https://doi.org/10.1016/j.envsci.2020.02.010
Hyams, M. A. (2012). Wind energy in the built environment. Metropolitan Sustainability: Understanding and Improving the Urban Environment, 457–499. https://doi.org/10.1533/9780857096463.3.457
Javed, M. S., Ma, T., Jurasz, J., & Amin, M. Y. (2019). Solar-wind-pumped hydro energy storage systems: review and future perspective. Renewable Energy. https://doi.org/10.1016/j.renene.2019.11.157
Mentis, D., Hermann, S., Howells, M., Welsch, M., & Siyal, S. H. (2015). Assessing the technical wind energy potential in Africa a GIS-based approach. Renewable Energy, 83, 110–125. https://doi.org/10.1016/j.renene.2015.03.072
Ohunakin, O. S. (2011). Assessment of wind energy resources for electricity generation using WECS in. Renewable and Sustainable Energy Reviews, 15(4), 1968–1976. https://doi.org/10.1016/j.rser.2011.01.001
Ohunakin, O. S., Adaramola, M. S., & Oyewola, O. M. (2011). Wind energy evaluation for electricity generation using WECS in seven selected locations in Nigeria. Applied Energy, 88(9), 3197–3206. https://doi.org/10.1016/j.apenergy.2011.03.022
Ohunakin, O. S., & Akinnawonu, O. O. (2012). Assessment of wind energy potential and the economics of wind power generation in Jos, Plateau State, Nigeria. Energy for Sustainable Development, 16(1), 78–83. https://doi.org/10.1016/j.esd.2011.10.004
Olayide, O. E., Tetteh, I. K., & Popoola, L. (2016). Differential impacts of rainfall and irrigation on agricultural production in Nigeria: Any lessons for climate-smart agriculture? Agricultural Water Management, 178, 30–36. https://doi.org/10.1016/j.agwat.2016.08.034
Oyaniran, T. (2020). Current State of Nigeria Agriculture and Agribusiness Sector. AfCFTA Workshop, September, 1–14. https://www.pwc.com/ng/en/assets/pdf/afcfta-agribusiness-current-state-nigeria-agriculture-sector.pdf
Saras, I., Mart, G., Platero, C. A., & S, Á. (2018). Dual Frequency Regulation in Pumping Mode in a Wind – Hydro Isolated System. https://doi.org/10.3390/en11112865
Usman, H. M., Mahmud, M., Yahaya, M. S., & Saminu, S. (2024). Wind-Powered Agriculture: Enhancing Crop Production and Economic Prosperity in Arid Regions. Elektrika, 16(1), 10. https://doi.org/10.26623/elektrika.v16i1.8999