scholarly journals Aspen Process Flowsheet Simulation Model of a Battelle Biomass-Based Gasification, Fischer-Tropsch Liquefaction and Combined-Cycle Power Plant

10.2172/1395 ◽  
1998 ◽  
Author(s):  
Keyword(s):  
Power Plant ◽  
Simulation Model ◽  
Combined Cycle ◽  
Fischer Tropsch ◽  
Combined Cycle Power Plant ◽  
Flowsheet Simulation ◽  
Process Flowsheet

scholarly journals Data modelling and simulation control of steam heat circulation system in coal-fired power plant

2021 ◽  
Vol 25 (4 Part B) ◽  
pp. 2983-2990
Author(s):  
Shufeng Zhang
Keyword(s):  
Power Plant ◽  
Simulation Model ◽  
Real Time ◽  
Digital Simulation ◽  
Combined Cycle ◽  
Circulation System ◽  
C Language ◽  
Combined Cycle Power Plant ◽  
Time Simulation ◽  
Unit Model

To make up for the lack of domestic research on the dynamic model of the unit in a gas-steam combined cycle power plant, the thesis researched and established a real-time digital simulation model of the combined cycle power plant unit. Firstly, the theory found a non-real-time digital simulation model in MATLAB/SIMULINK environment. Then the paper converts it into C language code and uses the C Builder tool to encapsulate it into a simulation model that can run in real-time. Finally, the thesis conducted a simulation test on the model on real-time digital simulation and compared it with the field test results. The simulation results show that the combined cycle power plant unit model we have established can meet the real-time simulation requirements of the power system in terms of computational efficiency and model accuracy.

scholarly journals Solvent Screening and Feasible Study of Retrofitting CO2 Capture System for Natural Gas Combined Cycle Power Plant

2014 ◽  
Vol 63 ◽  
pp. 2394-2401
Author(s):  
Satoshi Saito ◽  
Norihide Egami ◽  
Toshihisa Kiyokuni ◽  
Mitsuru Udatsu ◽  
Hideo Kitamura ◽  
...  
Keyword(s):  
Power Plant ◽  
Natural Gas ◽  
Co2 Capture ◽  
Combined Cycle ◽  
Combined Cycle Power Plant ◽  
Natural Gas Combined Cycle ◽  
Feasible Study

Simulation and Optimization of Combined Cycle Power Cycles Through HRSG’s Heat Exchangers Arrangement and Parameters for Exergy and Cost

2012 ◽  
Author(s):  
Ravin G. Naik ◽  
Chirayu M. Shah ◽  
Arvind S. Mohite
Keyword(s):  
Power Plant ◽  
Steam Generator ◽  
Heat Exchangers ◽  
Heat Recovery ◽  
Second Law Of Thermodynamics ◽  
Combined Cycle ◽  
Heat Recovery Steam Generator ◽  
Exergetic Efficiency ◽  
Power Cycles ◽  
Combined Cycle Power Plant

To produce the power with higher overall efficiency and reasonable cost is ultimate aim for the power industries in the power deficient scenario. Though combined cycle power plant is most efficient way to produce the power in today’s world, rapidly increasing fuel prices motivates to define a strategy for cost-effective optimization of this system. The heat recovery steam generator is one of the equipment which is custom made for combined cycle power plant. So, here the particular interest is to optimize the combined power cycle performance through optimum design of heat recovery steam generator. The case of combined cycle power plant re-powered from the existing Rankine cycle based power plant is considered to be simulated and optimized. Various possible configuration and arrangements for heat recovery steam generator has been examined to produce the steam for steam turbine. Arrangement of heat exchangers of heat recovery steam generator is optimized for bottoming cycle’s power through what-if analysis. Steady state model has been developed using heat and mass balance equations for various subsystems to simulate the performance of combined power cycles. To evaluate the performance of combined power cycles and its subsystems in the view of second law of thermodynamics, exergy analysis has been performed and exergetic efficiency has been determined. Exergy concepts provide the deep insight into the losses through subsystems and actual performance. If the sole objective of optimization of heat recovery steam generator is to increase the exergetic efficiency or minimizing the exergy losses then it leads to the very high cost of power which is not acceptable. The exergo-economic analysis has been carried to find the cost flow from each subsystem involved to the combined power cycles. Thus the second law of thermodynamics combined with economics represents a very powerful tool for the systematic study and optimization of combined power cycles. Optimization studies have been carried out to evaluate the values of decision parameters of heat recovery steam generator for optimum exergetic efficiency and product cost. Genetic algorithm has been utilized for multi-objective optimization of this complex and nonlinear system. Pareto fronts generated by this study represent the set of best solutions and thus providing a support to the decision-making.

Sign in / Sign up

Export Citation Format

Share Document