AI in E-Learning: Exploring Challenges and LimitationsA Literature Review

This study addresses the critical challenge of water scarcity and high energy costs impacting agricultural productivity in regions like Abia State, Nigeria, by proposing a sustainable solar photovoltaic (SPV) irrigation pumping system. The objective was to design and evaluate an SPV system for underground irrigation at the National Root Crops Research Institute (NRCRI), Umudike, and ensure a reliable water supply for its 5-hectare farmland. The methodology involved determining pump energy demand (36.3 kWh/day), applying three distinct SPV component sizing methods for cross-validation, and performing robust stochastic reliability and temperature-adjusted performance analysis using Monte Carlo simulation. Key results indicate that a system with 36 solar panels, 24 batteries, and a 6.0 kVA inverter can consistently meet the daily energy demand. The stochastic analysis demonstrated that while monthly solar deficits can be high in certain periods (e.g., 99.9% in August), even minimal (e.g., 1 day) battery autonomy drastically reduces the probability of energy shortfall. This research provides a practical and resilient framework for off-grid agricultural irrigation in sun-rich developing regions.

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Publication Details

Journal
Journal of Science and Technology
Published
2025-09-27
DOI
https://doi.org/10.20428/jst.v30i10.3160
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
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article

AI in E-Learning: Exploring Challenges and LimitationsA Literature Review

Journal of Science and Technology
Photovoltaic System Optimization Techniques
article

AI in E-Learning: Exploring Challenges and LimitationsA Literature Review

article en

Abstract

This study addresses the critical challenge of water scarcity and high energy costs impacting agricultural productivity in regions like Abia State, Nigeria, by proposing a sustainable solar photovoltaic (SPV) irrigation pumping system. The objective was to design and evaluate an SPV system for underground irrigation at the National Root Crops Research Institute (NRCRI), Umudike, and ensure a reliable water supply for its 5-hectare farmland. The methodology involved determining pump energy demand (36.3 kWh/day), applying three distinct SPV component sizing methods for cross-validation, and performing robust stochastic reliability and temperature-adjusted performance analysis using Monte Carlo simulation. Key results indicate that a system with 36 solar panels, 24 batteries, and a 6.0 kVA inverter can consistently meet the daily energy demand. The stochastic analysis demonstrated that while monthly solar deficits can be high in certain periods (e.g., 99.9% in August), even minimal (e.g., 1 day) battery autonomy drastically reduces the probability of energy shortfall. This research provides a practical and resilient framework for off-grid agricultural irrigation in sun-rich developing regions.

Journal of Science and TechnologyVol. 30(10)
University of Science and Technology (YE), University of Aden (YE)
Zero hunger
Openalex Percentile: Top 63%
Photovoltaic System Optimization Techniques
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AI in E-Learning: Exploring Challenges and LimitationsA Literature Review · Journal of Science and Technology (2025) | TGRS Research Map | TGRS