Abstract

Higher operating efficiencies, emission reductions, improved reliability, and lower operating costs are benefits that the power industry can realize with the utilization of sensors and controls. However, for the power industry to derive the maximum benefit from sensors and controls, improvements in existing technologies and novel approaches to challenging measurements are needed. Recognizing the importance of sensors and controls, the U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) sponsored a sensors and controls workshop on April 17 to 18, 2001, in Washington, DC. The workshop focused on identifying technology needs in sensors and controls for existing fossil-energy power plants as well as future facilities conceived under the Vision 21 Program. Forty-six experts from 29 organizations, including private industry, research laboratories, academia, and government agencies, attended the workshop. The meeting opened with keynote speakers from NETL and the private sector. NETL officials spoke of the Vision 21 and advanced research programs. Speakers from the Electric Power Research Institute (EPRI) and Delphi Automotive Systems Research Laboratory discussed the improvements realized with their respective operation through the use of sensors and controls. NETL keynote speakers Robert Romanosky and Carl Bauer emphasized that developing sensor and control systems plays a critical role in DOE Office of Fossil Energy Vision 21 Program, clean coal activities under the Power Plant Improvement Initiative, and the proposed Clean Coal Power Initiative. The Vision 21 Program is aimed at providing technologies for ultra-clean fossil-fuel-based energy production with 60- to 75-percent efficiencies and near zero emissions. The program also uses a modular approach to present opportunities to not only generate power, but also co-produce clean fuels, chemicals, steam, and other useful products. The ultra-high efficiency and environmental performance goals of the Vision 21 Program mean that facilities must operate at optimum conditions, while adapting in real-time to changes in load and feedstock. These are challenging performance goals. They will require advanced control and sensing systems that can be adapted and optimized in real time. To improve the overall plant performance of existing power plants, one of the most cost-effective methods is to update the sensor and control systems.

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