Energy supports every aspect of human society wherever power is needed in forms of electricity, gasoline, or heat. The security, reliability, and resilience of energy infrastructures are critical to national security, economic growth, and individual quality-of-life. Advanced sensors combined with artificial intelligence enable real-time and predictive monitoring of structural health and environmental conditions of energy infrastructures. There have been many technological advancements in sensors and related data analytics in recent years to increase the visibility of energy infrastructure applications.
The theme of this Special Issue covers all types of advanced sensing technologies for energy infrastructures. The sensor types include, but are not limited to optical fiber sensors, active or passive wireless sensors, microfluidic sensors, flexible sensors, ultrasonic sensors, electrochemical sensors, and electromagnetic sensors. The energy infrastructure applications include, without being limited to power plants, electricity grid, oil and gas wells, oil and gas transmission pipelines, geothermal systems, nuclear reactors, solid oxide fuel cells, turbines, batteries, and CO2 storage systems.
Dr. Paul R. Ohodnicki
Dr. Ruishu F. Wright
Dr. Jeffrey K. Wuenschell