Sustainable energy management for indoor farming in hot desert climates

Sanfilippo, Antonio , Kafi, Abdellah , Jovanovic, Raka , Shannak, Sa'd , Ahmad, Noormazlinah , Wanik, Zamri

2024-11-01 SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS 2024   71(卷), null(期), (null页)

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Achieving food self-sufficiency in hot desert climates requires year-round farming, which is challenging due to extreme weather, water scarcity, and limited arable land. Indoor soil-less farming can mitigate these issues by reducing land and water use but increases operational complexity and electricity needs for cooling, impacting economic sustainability. This paper presents a resource management system using Artificial Intelligence of Things (AIoT) to simplify operations and optimize resources, alongside techno-economic analysis for economic viability. A case study on hydroponic tomato farming in hot deserts demonstrates that beyond a crop yield threshold (24.022 kg/m(2)), significantly more energy is required for marginal yield increases (e.g., 18% more electricity for a 0.35% yield increase). Despite higher energy use, the techno-economic analysis shows a net present value increase even with unsubsidized electricity. Thus, optimizing energy alongside water and nutrients is crucial for economic sustainability in indoor farming.