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IoT-Based Automation of the Prebuilt Solar Desalination System

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Intelligent Strategies for ICT (ICTCS 2023)

Abstract

For the sake of the future of civilization, the water-energy continuum is a crucial and challenging problem that needs to be tackled. Additionally, the creation of freshwater uses a lot of energy. As a result, finding a practical solution to this problem is essential. Solar energy is currently one of the finest options for desalination because it is affordable, ecologically good, and widely available. It takes a lot of human effort and time to generate soft and suitable drinking water using the various sun desalination devices that have been built. In this work, prebuilt solar desalination systems are automated using IoT techniques and sensors. The use of IoT will help to reduce the amount of labour needed to operate the system. Using an Arduino and various sensors like pH, turbidity, and total dissolved solids, the water quality is assessed by eliminating the laboratory process of monitoring water quality parameters. The results obtained using this method are at par with those obtained using laboratory methods (Kedar et al. in Int J Photoenergy 6:1–3, 2021).

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References

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Acknowledgements

The authors would like to acknowledge Cummins College of Engineering for Women, Pune, 411052 Maharashtra, India, for providing facilities to conduct pilot experiments and funding for the same.

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Correspondence to Ketaki Kshirsagar .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kshirsagar, K., Kulkarni, A., Karkhele, J., Gajare, D., Deshmukh, N., Kedar, S.A. (2024). IoT-Based Automation of the Prebuilt Solar Desalination System. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Intelligent Strategies for ICT. ICTCS 2023. Lecture Notes in Networks and Systems, vol 941. Springer, Singapore. https://doi.org/10.1007/978-981-97-1260-1_33

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  • DOI: https://doi.org/10.1007/978-981-97-1260-1_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-1259-5

  • Online ISBN: 978-981-97-1260-1

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