Simulation and Optimization of Thermal Systems in Coal based Power Plant Cycles

2018 ◽  
Author(s):  
Pasupuleti Ravindra Kumar ◽  
Naradasu Ravi Kumar
Keyword(s):  
Power Plant ◽  
Thermal Systems ◽  
Simulation And Optimization

scholarly journals Dynamic Optimization of a Subcritical Steam Power Plant under Time-Varying Power Load

2018 ◽  
Author(s):  
Chen Chen ◽  
George M. Bollas
Keyword(s):  
Power Plant ◽  
Dynamic Optimization ◽  
Electricity Market ◽  
Optimization Problems ◽  
Optimal Time ◽  
Time Varying ◽  
Power Demand ◽  
Test Bed ◽  
Simulation And Optimization ◽  
Power Load

The increasing variability in power plant load, in response to a wildly uncertain electricity market and the need to to mitigate CO2 emissions, lead power plant operators to explore advanced options for efficiency optimization. Model-based, system-scale dynamic simulation and optimization are useful tools in this effort, and the subject of the work presented here. In prior work, a dynamic model validated against steady-state data from a 605 MW subcritical power plant was presented. This power plant model is used as a test-bed for dynamic simulations, in which the coal load is regulated to satisfy a varying power demand. Plant-level control regulates plant load to match an anticipated trajectory of the power demand. The efficiency of the power plant operating at varying load is optimized through a supervisory control architecture that performs set point optimization on the regulatory controllers. Dynamic optimization problems are formulated to search for optimal time-varying input trajectories that satisfy operability and safety constraints during the transition between plant states. An improvement in time-averaged efficiency of up to 1.8% points is shown feasible with corresponding savings in coal consumption of 184.8 tons/day and carbon footprint decrease of 0.035 kg/kWh.

Multi-Objective Thermoeconomic Optimization of Coupling MSF Desalination With PWR Nuclear Power Plant

2008 ◽  
Author(s):  
Mohammad Hasan Khoshgoftar Manesh ◽  
Majid Amidpour ◽  
Mohammad Hosein Hamedi
Keyword(s):  
Power Plant ◽  
Nuclear Power ◽  
Thermodynamic Simulation ◽  
Optimization Technique ◽  
Optimization Techniques ◽  
Feed Water ◽  
Optimization Strategy ◽  
Thermal Systems ◽  
Pressurized Water ◽  
Multi Objective

Thermodynamic simulation programs are widely used for designing complex thermal systems but most of them don’t incorporate second law optimization techniques. In this study, an efficient optimization strategy is presented, which integrates a well-known Evolutionary Algorithms optimization technique with a professional power plant and cogeneration simulator, so as perform exergoeconomic optimization of complex thermal systems and generating combined pinch and exergy representations. This paper deals with the application of an evolutionary algorithm to multi-objective thermoeconomic optimization of coupling desalination plant with pressurized water reactor. The thermodynamic simulation of this plant has been performed in THERMOFLEX simulator. An Excel Add-in called THERMOFLEX Link has been developed to calculate the exergy of each stream from a THERMOFLEX simulation results. In addition, computer code has been developed for thermoeconomic and improved combined pinch-exergy analysis in MATLAB environment. Both design configuration and the process variables are optimized simultaneously. The optimization algorithm can choose among several design options included in a superstructure of the feed water heaters and MSF desalination in dual purpose plant. For the assumptions and simplifications made in this study, a 3000 MWth PWR power plant similar to Bushehr power plant has been considered.

Sign in / Sign up

Export Citation Format

Share Document