Author
Abstract
Within power plants, several physical, chemical and mechanical processes are conducted to transfer the energy, stored in fossil fuel, into electrical energy. This energy conversion is divided into several stages. Hitherto, the largest conventional power plants employ steam turbines as prime movers to drive a generator. Hence, a steam turbine is one module to convert heat energy into mechanical energy. And thus it is one link in the chain of energy conversions with the aim of generating electrical energy. Today, steam turbine industry faces numerous challenges concerning efficiency, commissioning time, start-up times, operation, availability, safety, cost-effectiveness, etc. Many of these tasks can be supported by simulating the transient operational behaviour of the turbine in advance. For example, the commissioning time can be shortened if the turbine controllers are initialized with well-tuned pre-set parameters; cost-effectiveness can be increased by setting aside unnecessary devices and exactly determining material specifications; safety may be increased by predicting the impacts of failures and thus taking the necessary precautions. Different tasks require different details regarding the employed turbine simulation model. Thus, the turbine controller may be well tuned with less complex simulation models of turbine, generator and electrical grid, whereas detailed studies of failures, mainly the transient behaviour which may lead to serious damages, may require detailed modelling of the turbine-internal thermodynamic processes. Here, a brief overview of models which simulate the transient thermodynamic behaviour of a steam turbine is presented. Three different approaches will be introduced and compared with respect to different operating situations. Also, special attention is directed towards the time dependence of critical states, mainly turbine speed and pressure development in certain areas. The first model is based on a simple, linear approach and is suitable of giving a quick overview. The second one incorporates more details and is useful if the operating point is close to the design point. Finally, the last model incorporates mass and energy balances as well as the major non-linearities. Hence it depicts the turbine behaviour over a large range of operating points.
Suggested Citation
Gerta Zimmer, 2008.
"Modelling and simulation of steam turbine processes: individual models for individual tasks,"
Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 14(6), pages 469-493, July.
Handle:
RePEc:taf:nmcmxx:v:14:y:2008:i:6:p:469-493
DOI: 10.1080/13873950802384001
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Cited by:
- Zhu, Qiannan & Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2016.
"Mathematical modeling, validation, and operation optimization of an industrial complex steam turbine network-methodology and application,"
Energy, Elsevier, vol. 97(C), pages 191-213.
- Douglas, Tamunosaki & Big-Alabo, Akuro, 2018.
"A generic algorithm of sustainability (GAS) function for industrial complex steam turbine and utility system optimisation,"
Energy, Elsevier, vol. 164(C), pages 881-897.
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