Characteristics Charts for Preliminary Design and Selection of a Gas Turbine Cogeneration Plant

1995 ◽  
Author(s):  
K. Sarabchi ◽  
G. T. Polley
Keyword(s):  
Performance Analysis ◽  
Gas Turbine ◽  
Performance Prediction ◽  
Integrated System ◽  
Performance Criteria ◽  
Preliminary Design ◽  
Cogeneration Plant ◽  
Work Efficiency ◽  
Boiler Efficiency ◽  
Selection Of

The important and well-established performance criteria for assessment of a gas turbine cogeneration plant (GTCP) were examined. It was found that expressions could be derived for these criteria in terms of two key parameters: work efficiency and boiler efficiency. Three characteristics charts were then constructed. These covered gas turbine analysis, boiler analysis and GTCP performance analysis respectively. It is then demonstrated how these charts may be used as an effective tool for both performance prediction and preliminary design analysis. Thermodynamic design of a GTCP as an integrated system is also investigated and discussed.

Thermoeconomic Analysis and Optimization of a Gas Turbine Cogeneration Unit by a Systems Approach

2005 ◽  
Author(s):  
Ryohei Yokoyama ◽  
Shinsuke Takeuchi ◽  
Koichi Ito
Keyword(s):  
Performance Analysis ◽  
Energy Conversion ◽  
Gas Turbine ◽  
Systems Approach ◽  
Differential Algebraic Equations ◽  
Performance Criteria ◽  
Flow Rates ◽  
Cost Analyses ◽  
Operation Conditions ◽  
Newton Raphson

It is important to design and operate energy conversion systems such as gas turbine cogeneration ones optimally from the thermoeconomic viewpoint. However, an energy conversion system has a complex network structure, and it takes much time to create its model for the thermoeconomic analysis and optimization. In this paper, a systems approach is presented for the performance analysis and optimization of mechanical systems with network structures, and it is applied to the thermoeconomic analysis and optimization of a gas turbine cogeneration unit. The system modeling for the performance analysis is conducted by a building block approach. Static and dynamic problems for the performance analysis are formulated as sets of nonlinear algebraic and differential algebraic equations, and are solved by the Newton-Raphson method and a hierarchical combination of the Runge-Kutta and Newton-Raphson methods, respectively. The performance optimization is conducted to determine design and operation conditions which optimize performance criteria. This problem is formulated as a nonlinear programming one and is solved by a global optimization method. In the application, the cycle analysis is conducted to determine mass flow rates, pressures, and temperatures, which is followed by the exergy and cost analyses to determine exergy flow rates and efficiencies, and capital costs, respectively. In addition, design and operation conditions are determined to maximize the exergy efficiency or minimize the annual total cost based on the results of the cycle, exergy, and cost analyses. Through a numerical study, it turns out that the proposed systems approach enables one to conduct the thermoeconomic analysis and optimization efficiently.

scholarly journals Preliminary Gas Turbine Combustor Design Using a Genetic Algorithm

1997 ◽  
Author(s):  
Arnaud Despierre ◽  
Peter J. Stuttaford ◽  
Philip A. Rubini
Keyword(s):  
Heat Transfer ◽  
Genetic Algorithm ◽  
Gas Turbine ◽  
Combustion Process ◽  
Design Procedure ◽  
Design Tool ◽  
Performance Criteria ◽  
Design Parameters ◽  
Transfer Model ◽  
Preliminary Design

A genetic algorithm, coupled with a versatile preliminary design tool, is employed to demonstrate the concept of an autonomous design procedure for gas turbine combustors with user specified performance criteria. The chosen preliminary design program utilises a network based approach which provides considerable geometric flexibility allowing for a wide variety of combustor types to be represented. The physical combustor is represented by a number of independent, though interconnected, semi-empirical sub-flows or elements. A full conjugate heat transfer model allows for convection, conduction and radiative heat transfer to be modelled and a constrained equilibrium calculation simulates the combustion process. The genetic algorithm, whose main advantage lies in its robustness, uses the network solver in order to progress towards the optimum design parameters defined by the user. The capabilities of the genetic program are demonstrated for some simple design requirements, for example zone fuel/air ratio, pressure drop and wall temperatures.

scholarly journals Fuel Profitability and the Design of Gas Turbine Cogeneration Plant

1982 ◽  
Author(s):  
I. S. Ondryas
Keyword(s):  
Gas Turbine ◽  
Industrial Plant ◽  
Cogeneration Plant ◽  
Turbine Generator ◽  
Cogeneration System ◽  
Engineering Effort ◽  
Equipment Sizing ◽  
System Layout ◽  
Cogeneration Cycle ◽  
Selection Of

This paper describes the engineering effort involved in the selection of the topping cogeneration cycle for an industrial cogeneration plant. Fuel profitability of a cogeneration plant is defined and analyzed, and used as a tool for the selection of the cogeneration cycle. The conceptual design of a gas turbine cogeneration plant is described, which includes selection of a gas turbine generator and other major plant components, equipment sizing and the typical control system layout. The paper provides tools to the industrial plant manager/engineer for the selection of the most profitable alternative of the cogeneration system.

scholarly journals Performance Criteria for Gas Turbine Cogeneration Plant

1993 ◽  
Author(s):  
K. Sarabchi ◽  
E. Khoshravan
Keyword(s):  
Gas Turbine ◽  
Waste Heat ◽  
District Heating ◽  
Performance Criteria ◽  
Cogeneration Plant ◽  
Recovery Boiler

With current gas turbine practice up to two-thirds of the energy available in the fuel is lost in the form of unused heat, By making practical use of this waste heat in a recovery boiler to produce steam for district heating or process applications it is possible to reduce the energy wastage to as little as 10 percent. In this paper different performance criteria for assessment of a gas turbine cogeneration plant (GTCP) have been defined and compared with each other, Also, the practical range of performance criteria have been determined.

Preliminary Staging Selection for Gas Turbine Driven Centrifugal Gas Compressors

1973 ◽  
Author(s):  
Leon Sapiro
Keyword(s):  
Gas Turbine ◽  
Centrifugal Compressor ◽  
Mechanical Design ◽  
Optimization Procedure ◽  
Maximum Efficiency ◽  
Preliminary Design ◽  
Axial Thrust ◽  
Selection For ◽  
Multistage Centrifugal Compressor ◽  
Selection Of

A procedure for optimizing the preliminary design of a gas turbine driven multistage centrifugal compressor package is discussed. The optimization procedure is based on the variation of single-stage centrifugal compressor adiabatic efficiency as a function of specific speed and Mach number. It permits the selection of optimum impeller diameter and the number of stages to cover a prescribed compressor market zone, indicating regions of maximum efficiency. Flow limitations resulting from decreasing efficiency at off-optimum specific speeds, as well as the mechanical design limitations following excessive seal temperatures and axial thrust, are delineated. The procedure has been successfully used at the author’s company for the preliminary selection of stage geometries for a family of multistage gas compressors.

Exergetic Performance Analysis of a Gas Turbine Cycle Integrated With Solid Oxide Fuel Cells

2007 ◽  
Author(s):  
Mikhail Granovskii ◽  
Ibrahim Dincer ◽  
Marc A. Rosen
Keyword(s):  
Performance Analysis ◽  
Natural Gas ◽  
Gas Turbine ◽  
Combined Cycle ◽  
Integrated System ◽  
Operating Conditions ◽  
Maximum Temperature ◽  
Steam Generation ◽  
Internal Reforming ◽  
Gas Turbine Cycle

This paper deals with an exergetic performance analysis of a gas turbine cycle integrated with SOFCs with internal reforming. As the efficiency of a gas turbine cycle is mainly defined by the maximum temperature at the turbine inlet, this temperature is fixed at 1573 K for the analysis. In the cycle considered, the high-temperature gaseous flow from the turbine heats the input flows of natural gas and air, and is used to generate pressurized steam which is mixed with natural gas at the SOFC stack inlet to facilitate its conversion. The application of SOFCs provides the opportunity to reduce the exergy losses of the most irreversible process in the system: fuel combustion. Depending on the SOFC stack efficiency, the energy efficiency of the combined cycle reaches 70–80% which compares well to the efficiencies of 54–55% typical of conventional combined power generation cycles. Parametric studies are also undertaken to investigate how energy and exergy efficiencies of the integrated system change with variations in operating conditions. An increase in the efficiency of SOFCs is attained by increasing the fuel cell active area. Achieving the highest efficiency of the SOFC stack leads to a significant and non-proportional increase in the stack size and cost, and simultaneously to a decrease in steam generation, reducing the steam/methane ratio at the anode inlet and increasing the possibility of catalyst coking. Accounting for these factors, likely operating conditions of the SOFC stack in combination with a gas turbine cycle are presented.

scholarly journals A Fuzzy Network DEA Approach to the Selection of Advanced Manufacturing Technology

2021 ◽  
Vol 13 (8) ◽  
pp. 4236
Author(s):  
Tim Lu
Keyword(s):  
Fuzzy Numbers ◽  
Weighted Average ◽  
Careful Consideration ◽  
Performance Criteria ◽  
Advanced Manufacturing ◽  
Weight Restrictions ◽  
Network Dea ◽  
Engineering Sciences ◽  
Fuzzy Network ◽  
Selection Of

The selection of advanced manufacturing technologies (AMTs) is an essential yet complex decision that requires careful consideration of various performance criteria. In real-world applications, there are cases that observations are difficult to measure precisely, observations are represented as linguistic terms, or the data need to be estimated. Since the growth of engineering sciences has been the key reason for the increased utilization of AMTs, this paper develops a fuzzy network data envelopment analysis (DEA) to the selection of AMT alternatives considering multiple decision-makers (DMs) and weight restrictions when the input and output data are represented as fuzzy numbers. By viewing the multiple DMs as a network one, the data provided by each DM can then be taken into account in evaluating the overall performances of AMT alternatives. In the solution process, we obtain the overall and DMs efficiency scores of each AMT alternative at the same time, and a relationship in which the former is a weighted average of the latter is also derived. Since the final evaluation results of AMTs are fuzzy numbers, a ranking procedure is employed to determine the most preferred one. An example is used to illustrate the applicability of the proposed methodology.

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