Projects To Develop Novel Monitoring Networks for Advanced Power Systems Selected
September 2, 2010
Dept. of Energy - The selected projects represent a total investment of $6.5 million, with nearly $5 million from DOE and the remaining $1.5 million in cost share provided by the recipients. FE’s National Energy Technology Laboratory (NETL) will manage the research. A description of the projects follows: Texas Tech University (Lubbock, Texas)—Using an innovative two-tier framework, the proposed research will establish a comprehensive methodology to determine the type, location, and number of sensors required for component condition monitoring and fault diagnosis in fossil energy systems. Algorithms will be developed and tested on a pressure-driven, plant-wide dynamic model of a coal-based integrated gasification combined cycle (IGCC) plant, and a distributed gasifier model will be used to test sensor placement for unit level condition monitoring. The result will be an integrated model-based algorithm for sensor placement in an IGCC plant that is robust and validated with a nonlinear plant-wide dynamic model. (DOE share: $757,992; recipient share: $223,821; duration: 36 months)
Five projects that will develop technologically sophisticated monitoring networks for advanced fossil energy power systems have been selected for continued research by the U.S. Department of Energy (DOE).
...
The selected projects represent a total investment of $6.5 million, with nearly $5 million from DOE and the remaining $1.5 million in cost share provided by the recipients. FE’s National Energy Technology Laboratory (NETL) will manage the research.
A description of the projects follows:
- Texas Tech University (Lubbock, Texas)—Using an innovative two-tier framework, the proposed research will establish a comprehensive methodology to determine the type, location, and number of sensors required for component condition monitoring and fault diagnosis in fossil energy systems. Algorithms will be developed and tested on a pressure-driven, plant-wide dynamic model of a coal-based integrated gasification combined cycle (IGCC) plant, and a distributed gasifier model will be used to test sensor placement for unit level condition monitoring. The result will be an integrated model-based algorithm for sensor placement in an IGCC plant that is robust and validated with a nonlinear plant-wide dynamic model. (DOE share: $757,992; recipient share: $223,821; duration: 36 months)