Published May 2011 | Version v1
Journal article

Thermodynamic analysis and thermoeconomic optimization of a dual pressure combined cycle power plant with a supplementary firing unit

  • 1. Department of Mechanical Engineering, Faculty of Engineering and Applied Science, University of Ontario, Institute of Technology (UOIT), 2000 Simcoe St. North, Oshawa, ON L1H 7K4 (Canada)

Description

Research highlights: → A comprehensive study on a dual pressure combined cycle power plant with supplementary firing unit. → A new integrated thermodynamic modeling and thermoeconomic optimization. → Better performance assessment. → Utilization genetic algorithms to improve efficiency and reduce exergy destructions and cost. -- Abstract: In this paper, a combined cycle power plant (CCPP) with a supplementary firing system is first thermodynamically analyzed through energy and exergy. The optimal design of operating parameters of the plant is then performed by defining an objective function and applying a generic algorithm (GA) type optimization method. In order to optimally find the design parameters, a thermo-economic method is employed. An objective function representing the total cost of the plant in terms of dollar per second is defined as the sum of the operating cost related to the fuel consumption and the capital investment for equipment purchase and maintenance costs. Subsequently, different parts of the objective function are expressed in terms of decision variables. Finally, the optimal values of decision variables are obtained by minimizing the objective function using a GA. Moreover, the influences of changes in the demanded power and fuel cost are studied by considering three different output powers (i.e., 160, 180 and 200 MW). To validate the present model, the results of the present simulation code are compared with the actual data. The results show that the average difference between the model results and the actual data is about 1.41%. Moreover, various cases are investigated to determine how to decrease the objective function (cost, mass flowrate, etc.) for the optimized design and operating parameters (fuel cost, power output, etc.).

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2010.12.023

Additional details

Identifiers

DOI
10.1016/j.enconman.2010.12.023;
PII
S0196-8904(11)00003-3;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
52
Journal Issue
5
Journal Page Range
p. 2296-2308
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
42073850
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ALGORITHMS; CAPITAL; COMBINED-CYCLE POWER PLANTS; DESIGN; EFFICIENCY; EXERGY; FUEL CONSUMPTION; FUELS; INVESTMENT; MAINTENANCE; OPERATING COST; OPTIMIZATION; SIMULATION
Descriptors DEC
COST; ENERGY; ENERGY CONSUMPTION; MATHEMATICAL LOGIC; POWER PLANTS; THERMAL POWER PLANTS

Optional Information

Copyright
Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.