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Artificial Intelligence Applications in Dc Solar Air Coolers: Enhancing Performance, Efficiency, and User Experience

Author

Listed:
  • Aditya Gupta

    (Rajasthan Technical University, Kota-324010, Rajasthan, India)

Abstract

The merger of Artificial Intelligence (AI) and renewable energy technologies is changing the face of the sustainable cooling technology space. Among the technologies being developed in this space include DC Solar Air Coolers that are air cooling technologies that utilize Direct Current (DC) electricity that can be produced using Solar PV Panels. Solar Air Coolers are experiencing setbacks in terms of energy efficiency techniques and adaptability to environmental variability. There are also setbacks concerning maintenance and operation. The adoption of AI technologies has presented an opportunity for the development of DC Solar Air Coolers that are adaptable and fit for sustainable and efficient cooling.

Suggested Citation

  • Aditya Gupta, 2026. "Artificial Intelligence Applications in Dc Solar Air Coolers: Enhancing Performance, Efficiency, and User Experience," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 13(3), pages 446-458, March.
  • Handle: RePEc:bjc:journl:v:13:y:2026:i:3:p:446-458
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    References listed on IDEAS

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    1. Huang, Bin-Juine & Hou, Tung-Fu & Hsu, Po-Chien & Lin, Tse-Han & Chen, Yan-Tze & Chen, Chi-Wen & Li, Kang & Lee, K.Y., 2016. "Design of direct solar PV driven air conditioner," Renewable Energy, Elsevier, vol. 88(C), pages 95-101.
    2. Palomba, Valeria & Wittstadt, Ursula & Bonanno, Antonino & Tanne, Mirko & Harborth, Niels & Vasta, Salvatore, 2019. "Components and design guidelines for solar cooling systems: The experience of ZEOSOL," Renewable Energy, Elsevier, vol. 141(C), pages 678-692.
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