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5 result(s) for "aero‐derivative"
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A Novel Integrated Control Method for an Aero-Derivative Gas Turbine of Power Generation
On account of the complexity of aero-derivative gas turbines and the much higher control requirements, it is significant and meaningful to design advanced controllers for obtaining the ideal control effect. In this paper, to improve the performance of the original controller of an aero-derivative gas turbine, a novel integrated control method is proposed by combining the original controller with a new neural network controller. It realizes the speed control by switching the two controllers during the operation process of the aero-derivative gas turbine. A tracking test and robustness test are conducted to assess the superiority of the novel integrated control method. The results show that in comparison with the original controller and the new neural network controller, the novel integrated control method has a much better speed tracking performance during the four tracking tests. When the model of the aero-derivative gas turbine changes with the ambient temperature and compressor performance degradation, the robustness of the novel integrated control method is also better than the other two controllers. Hence, the superiority of the novel integrated control method is validated.
A one-dimensional stage un-stacking approach to reveal flow angles and speeds in a multistage axial compressor at the design operating point
Stage stacking methods commonly use a one-dimensional (1D) through flow analysis at the mean line to design individual axial compressor stages and stack these to form a multistage axial compressor. This phase of design exerts a great influence on each stage's pressure and temperature ratio. The design process for an individual stage is usually guided by design values and rules developed in previous designs. This study develops a 1D stage un-stacking method (SUSM), which uses a minimal set of data from an actual axial compressor, while reducing the needed number of assumptions. Proceeding from the premise that an actual axial compressor design fulfills all thermodynamic requirements, velocity triangle requirements and design guidelines simultaneously, this proposed SUSM calculates the pressure, temperature, velocities and flow angles as a set of dependent data at each stage of the axial compressor. In approximating a possible axial compressor design for the LM2500 gas turbine that achieves the known pressure ratio distribution, the suggested stage loading coefficient (SLC) distribution is more appropriately considered an initial well-informed estimate and further improvements to this SUSM are needed to infer the actual SLC distributions used.
2 - Overview of gas turbine types and applications
Various gas turbine types have been introduced into a wide range of commercial applications. In this chapter the key performance characteristics are described for gas turbines in use for power generation, propulsion systems on land, sea and air, as well as for mechanical drives in industrial processes. Characteristic operating parameters are provided for large stationary systems (multi-MW range) down to small size (kW range) mobile systems.
Marine Propulsion Systems
The application of the aero‐derivative gas turbine to warship propulsion is described in detail. Comparisons of the different roles of the warship and aircraft are made to better understand the marine propulsion system solutions and methods of operation and control. The demanding marine environment is discussed including the effects and mitigation of salt spray, green water exposure, inlet and exhaust location relative the engine installation and the need for infrared suppression. Accommodation of the wide range of operational requirements has lead to complex machinery arrangements with boost and cruise engines operating separately or in combination together with a Controllable Reversible Propeller (CRP). Ancillary systems are described including blow‐down starting and engine washing systems, fuel supply and purification systems. The importance of modeling of the ship and its propulsion machinery as an essential tool for understanding and optimizing the various control modes and machinery combinations is emphasized. A typical control strategy is presented wherein powerplant selection to match ship requirements is automated as well as the scheduling of throttle and propeller pitch to meet immediate ship speed demands during various maneuvers.