Engineers develop algorithms for fossil energy systems
Texas Tech University engineers are working on a project to determine the type, location and number of sensors needed for condition monitoring and fault diagnosis in fossil energy systems.
The three-year project is one of five selected by the US Department of Energy (DOE) to develop monitoring networks for advanced fossil energy power 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, while a distributed gasifier model will be used to test sensor placement for unit-level condition monitoring.
The result is expected to be an integrated model-based algorithm for sensor placement in an IGCC plant that is robust and validated with a non-linear plant-wide dynamic model.
The selected projects represent a total investment of $6.5m (£4.2m), with nearly $5m from the DOE and the remaining $1.5m in cost share provided by the recipients.
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Comment: Engineers must adapt to AI or fall behind
A fascinating piece and nice to see a broad discussion beyond GenAI and the hype bandwagon. AI (all flavours) like many things invented or used by...