Ability of adjusting heating/power for combined cooling heating and power system using alternative gas turbine operation strategies in combined cycle units

2018 ◽  
Vol 173 ◽  
pp. 271-282 ◽  
Author(s):  
Zhifeng Huang ◽  
Cheng Yang ◽  
Haixia Yang ◽  
Xiaoqian Ma
Keyword(s):  
Power System ◽  
Gas Turbine ◽  
Combined Cycle ◽  
Heating Power ◽  
Combined Cooling

Design and Performance Study of a Solid Oxide Fuel Cell and Gas Turbine Hybrid System Applied in Combined Cooling, Heating, and Power System

2012 ◽  
Vol 138 (4) ◽  
pp. 205-214 ◽  
Author(s):  
Hsiao-Wei D. Chiang ◽  
Chih-Neng Hsu ◽  
Wu-Bin Huang ◽  
Chien-Hsiung Lee ◽  
Wei-Ping Huang ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Power System ◽  
Solid Oxide Fuel Cell ◽  
Gas Turbine ◽  
Hybrid System ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Performance Study ◽  
And Performance ◽  
Combined Cooling

scholarly journals Mathematical Model of a 106 MW Single Shaft Heavy-Duty Gas Turbine

2020 ◽  
Author(s):  
Manuel A. Rendón ◽  
André R. Novgorodcev ◽  
Daniel De A. Fernandes
Keyword(s):  
Power System ◽  
Gas Turbine ◽  
Gas Turbines ◽  
System Analysis ◽  
Thermal Power ◽  
Combined Cycle ◽  
Sampled Data ◽  
Heavy Duty ◽  
Power System Analysis ◽  
Heavy Duty Gas Turbine

In recent years, several thermal power plants were built in Brazil and the percentage of participation of this kind of power generation increased in the local energy market. Since the 1980's, several studies developed mathematical models for gas turbines to be applied in power system analysis. These are simplified representations of static and dynamic behavior of machines. However, published works in dynamic gas turbine models represent a narrow set of machines, and most of the applications in power system analysis employ them, despite the fact that they are not accurate representations of some specific machines. This work presents the modeling procedure and validation for a 106 MW heavy-duty gas turbine working in combined cycle in a Brazilian thermal power plant. The gray-box approach, based on an existing tuned model based on real sampled data, is used, and the modeling involves a static approach in steady state, and dynamic modeling with system identification from sampled data. Sampled data were corrected to standard environmental conditions. The model was developed and validated in MATLAB®-Simulink®.

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