Process simulation tool development for a small gas turbine
Päivärinne, Matti (2019)
2019
Konetekniikka
Tekniikan ja luonnontieteiden tiedekunta - Faculty of Engineering and Natural Sciences
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Hyväksymispäivämäärä
2019-05-20
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201905101574
https://urn.fi/URN:NBN:fi:tty-201905101574
Tiivistelmä
Power consumption is increasing in the next decades and demands to fulfill this need are expected to turn towards cleaner and more efficient energy production. While renewables are expected to increase, their growth rate cannot compensate for the increase in power consumption alone, and gaseous fuels, such as natural gas, are expected to play a big role along renewables in this transition to produce energy cleaner and more efficiently. Demand for efficient and exact energy also drives decentralization, meaning that energy can be produced where demand is, to fulfill needs precisely and quickly. Many industrial applications also require process heat and with decentralized combined heat and power production, great efficiency increase is possible. Small gas turbines excel in this type of combined heat and power production with versatile fuels, also including natural gas. With this current continuing trend in the energy market, increase in the gas turbine installations can be expected.
Interest towards gas turbines increases the importance of gas turbine performance models. In off-design conditions, performance is significantly affected by the load and ambient conditions. With accurate models, the performance of engines can be predicted for each application and designing costs and time can be reduced. During operation, drive can be optimized to reach higher efficiencies and with engine monitoring, maintenances can be planned to be condition-based, not predictive based.
In this master’s thesis, performance prediction model was created for intercooled and recuperated gas turbine process with two spools, both spools including generator, compressor and turbine. The model was requested by the company to replace currently used model, with one which could better correspond to the company’s need. The developed model was steady-state, full range performance model which used Newton-Raphson iteration. The developed model was compared to old model and results were in-line. The new model was as requested by the company excluding some attributes which could not be included in the scope of this thesis but will be added to the model later.
Interest towards gas turbines increases the importance of gas turbine performance models. In off-design conditions, performance is significantly affected by the load and ambient conditions. With accurate models, the performance of engines can be predicted for each application and designing costs and time can be reduced. During operation, drive can be optimized to reach higher efficiencies and with engine monitoring, maintenances can be planned to be condition-based, not predictive based.
In this master’s thesis, performance prediction model was created for intercooled and recuperated gas turbine process with two spools, both spools including generator, compressor and turbine. The model was requested by the company to replace currently used model, with one which could better correspond to the company’s need. The developed model was steady-state, full range performance model which used Newton-Raphson iteration. The developed model was compared to old model and results were in-line. The new model was as requested by the company excluding some attributes which could not be included in the scope of this thesis but will be added to the model later.