Techno-economic analysis of PV systems installed by using innovative strategies for smart sustainable agriculture farms

Yahya Aziz, Abdul Kashif Janjua, Muhammad Hassan (), Mustafa Anwar, Saira Kanwal and Muhammad Yousif
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Yahya Aziz: National University of Sciences and Technology (NUST)
Abdul Kashif Janjua: National University of Sciences and Technology (NUST)
Muhammad Hassan: National University of Sciences and Technology (NUST)
Mustafa Anwar: National University of Sciences and Technology (NUST)
Saira Kanwal: National University of Sciences and Technology (NUST)
Muhammad Yousif: National University of Sciences and Technology (NUST)

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 2, No 86, 5003-5024

Abstract: Abstract Hybrid renewable energy sources are sustainable and eco-friendly and challenge the alternative sources of conventional energy production facilities. Pakistan’s present energy dilemma is a serious impediment to its economic progress. This paper proposes a techno-economic analysis of commercial-scale photovoltaic (PV) systems for commercial agricultural farms in Punjab, Pakistan. A survey was conducted to gather the load data of the farms from major cities of north, center, and south Punjab. For the PV system design, the K-means approach was used to cluster data from 93 farmers into nine clusters with similar electrical consumption. A complete technical, economic, and environmental study is undertaken of the PV systems deployed in five selected cities. The most practical locations are Attock and Multan, which have the lowest Levelized Cost of Energy at 5.52 and 5.37 cents/kWh, respectively. PV installations are nevertheless technically, economically, and environmentally feasible for all cities. Throughout its lifespan, the planned PV system has the potential for Faisalabad and Chiniot to minimize 154 metric tons of emissions, resulting in a greener environment.

Keywords: Agriculture farms; Photovoltaic (PV) system; Sustainability; System advisor model (SAM) (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-02919-5

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