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Reamonn Soto – Hydropower and Electric Generator Reliability

Reamonn Soto of Sensatek Propulsion Technology is enhancing the reliability of hydropower systems by rapidly assessing the conditions of electric generators and balance-of-plant.

About 

Reamonn Soto

Reamonn Soto

Sensatek Propulsion Technology

Soto is the founder and chief executive officer of Sensatek Propulsion Technology, which provides rapid condition assessments of energy infrastructure, such as wind turbines and hydroelectric turbines.

During West Gate, Soto is validating and optimizing this method by leveraging NREL's hydropower, power electronics, and modeling expertise.

Critical Need  

The rapid expansion of energy sources has forced hydropower operators to operate with greater flexibility, leading to increased operations and maintenance costs. Traditional sensor-based monitoring for hydropower components is cost prohibitive, and capital expenditures are ultimately passed on to ratepayers in regulated utility markets. More efficient, cost-effective solutions are needed to enhance predictive maintenance and reduce unplanned outages.

Potential Impact  

Sensatek's advanced vibration monitoring provides a scalable, cost-effective solution for predictive maintenance in the hydropower industry, reducing operations and maintenance costs and unplanned downtime as well as mitigating rising electricity costs. Future applications extend to other critical infrastructure sectors, including aerospace and transportation, where vibration monitoring is essential for operational efficiency.

Innovation and Advantages  

Sensatek's innovative, non-intrusive solution uses commercially available smartphone cameras to monitor hydropower components, including turbine shafts, electric generators, wicket gates, water pumps, and compressors. This framework applies video-based dynamic measurement and analysis, enabling real-time motion magnification, displacement, and vibration measurements to detect misalignment, imbalance, shaft bowing, and resonance issues. By incorporating machine learning and advanced image processing, this approach enhances predictive maintenance capabilities, reducing operations and maintenance costs while improving reliability.

Profile

Status

Commercially ready

Industry

Energy infrastructure

Potential Markets

  • Hydroelectric fleet owners
  • Nuclear energy operators
  • Natural gas-fired power plants

Looking For

  • Industry mentors
  • Funding
  • Strategic partnerships
  • Customer identification

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Last Updated April 23, 2025