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- W4362650180 abstract "Geothermal energy is rather one of the oldest forms of renewable sources ever extracted by the human race. Plenty of techniques including dry steam systems, flashing power systems, and binary cycle systems are available to harness geothermal energy to meet the growing demands. Constant upgradation is needed in all these techniques to increase the productivity of the power plants. The advent of the modern computer and the Internet of Things (IoT) created a new era because of the ability of the machine to make smart decisions, and those technologies are effectively used to increase the productivity of geothermal power plants. AI powered IoT facilitates various stages of Geothermal power processing, starting from the identification of GT field for the installation of power plants, optimization of geothermal operations till the dumping of GT waste. Real-time thermodynamic modeling of the energy cycles can also be done using AI, thereby saving manpower, time, and money. Scientific reports show that AI-powered IoT technologies, that includes artificial intelligence (AI) and machine learning (ML), can even be used for GT fluid forecasting, which is crucial in determining the lifespan of a power plant." @default.
- W4362650180 created "2023-04-07" @default.
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- W4362650180 date "2023-01-01" @default.
- W4362650180 modified "2023-09-30" @default.
- W4362650180 title "Powering the Geothermal Energy with AI, ML, and IoT" @default.
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- W4362650180 doi "https://doi.org/10.1007/978-3-031-15044-9_13" @default.
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