Use Case: Hydroelectric power generation equipment is subject to massive forces. This causes vibrations, which can wear down turbine parts and ultimately cause machine breakdowns, in some cases with disastrous results. Monitoring the vibration levels of the hydroelectric power generation equipment continuously using an online condition monitoring solution enables the operator to: - make maintenance-decisions based on the machine condition - ensure a stable production of power - safeguard on-site personnel - reduce maintenance costs - prevent serious machine damage - minimize the outage frequency - extend machine life enhance machine efficiency Monitoring is interfaced to the hydroelectric power station control systems and emergency shut down system. Monitoring the impact of Hydropower plant activities on water bodies is important for regulatory compliance and modeling purposes. Including measuring total dissolved gas (TDG) levels around Hydropower activities and monitoring temperature and dissolved oxygen upstream and downstream from plants to ensure regulatory levels are met and power production is optimal.

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Use Case: Geothermal energy power plants use the steam and hot water found underground to generate electricity through turbines. Wells are typically drilled at between 150 to 400 feet deep to access the energy. Currently, the most common geothermal energy production system is called a flash steam power plant. This type of power plant routes hydrothermal fluid from a well at temperatures over 182°C (360°F) under high pressure into a tank at the surface. The tank’s much lower pressure causes some of the fluid to quickly dissipate as vapor, which is then used to drive a turbine. IoT is used in geothermal power plants to increase energy station capacities and to catch problems with the power stations ahead of time.

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Use Case: - Wind turbines harness the wind—a clean, free, and widely available renewable energy source—to generate electric power. - Monitoring and control - To maximize wind power, it’s imperative that the data collected from sensors are analyzed quickly and turned into “actionable insights”— meaning each turbine can adjust its settings accordingly, based on data it receives from the system. A reliable connection to a control center lets a turbine continually assess and account for changes in wind speed, temperature variations, and vibration to best optimize power generation.

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Use Case: Solar energy is a renewable source of energy created by utilizing the bright light and heat from the sun using a variety of ever-changing technologies such as solar heating, solar thermal energy, photovoltaic’s. - Monitoring and optimization of performance in solar energy plants utilizing sensors attached to the transmission, generation, and distribution equipment.

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