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Sustainable Science and Intelligent Technologies for Societal Development
Operations and Maintenance
Published in Chapter:
Sustainable Green Energy Generation From Waste Water: IoT and ML Integration
Mahendra Kumar B (Department of MCA, Dayananda Sagar College of Engineering, India), Keshav Kumar K (Department of Humanities and Mathematics, G. Narayanamma Institute of Technology and Science for Women, India), P. Sasikala (Department of Computer Science, Government Science College, Nrupathunga University, India), Boopathi Sampath (Department of Mechanical Engineering, Muthayammal Engineering College, India), B. Gopi (Department of Electronics and Communications Engineering, Muthayammal Engineering College, India), and S. Sundaram (Department of Mechanical Engineering, Muthayammal Engineering College, India)
DOI: 10.4018/979-8-3693-1186-8.ch024
Abstract
This chapter investigates the conversion of wastewater into sustainable energy through the use of novel methods such as anaerobic digestion, microbial fuel cells, geothermal desalination, and internet of things (IoT) integration. It underlines the significance of wastewater treatment and energy sustainability, as well as the need for cost-effective solutions. IoT for real-time data collecting, analysis, and control can help with sustainable wastewater treatment and energy generation. Anaerobic digestion generates biogas, whereas microbial fuel cells convert organic molecules into energy. Geothermal desalination provides low-cost energy efficiency. IoT and ML technology enhances performance, lowers energy consumption, and allows for remote monitoring and maintenance, all of which contribute to a more sustainable and resilient future.
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