DYNSTART - Startup and Transient Behaviour of Power Stations
|Project Leader:||Professor Dr-Ing Alfons Kather|
|Research Assistant:||J Braune, MSc, JC Scheffler, MSc|
To evaluate power plants under the operation regimes expected in the future, the behaviour under both part-load operation and during start-up or shut-down must be modelled. This requires to also develop control techniques suitable for these operation regimes. To raise control quality modern multivariate regulation concepts will be investigated in the project, to improve the capability of the power plant to respond to the fluctuating demands of the electricity grid. Testing of these concepts necessitates models replicating the transient behaviour of the process. The project will investigate the ability of steam power plants with and without CO2 capture to deliver balancing power, considering the current state of the art and the changing operating constraints.
In the framework of the project the potential of modern multi-variable regulation concepts will be studied, to increase the quality of control. Aim is to improve the capability of the power plants to fulfil the demands from the grid. To test these concepts necessitates the development of models describing the behaviour of transient processes.
Target of DYNSTART is to investigate the performance of fossil fuelled steam power plants with and without CCS within their overall load ranges, in order to identify limiting components. The optimisation potential of alternative process configurations will also be analysed. This includes simulation of the low load behaviour and the start-up and shut-down procedures, to study the inherent capabilities to balance renewable energies. The analysis requires a broader consideration of the control techniques required and the development of control concepts for CCS plants that do not exist yet. For modelling the new operating regimes the Modelica library ClaRaCCS will be extended further.
The project is performed in collaboration with two other Institutes of the TUHH:
with Federal Government support.