A METHOD FOR DETERMINING THE ECONOMIC EFFECTIVENESS OF GAS TURBINE UNIT SYSTEMS WITH THE CONSIDERATION OF OPTIMUM PARAMETERS,

Abstract

A method for determining the economic effectiveness of nonregenerative gas turbine units (GTU) was developed (with consideration of the thermodynamic and engineering-economic characteristics). This method was formulated for gas turbine units which operate at rated power (for generating electricity). The costs are expressed as functions of thermodynamic parameters and economic operating conditions. The optimum combination of thermodynamic properties is determined first. Various considerations involved in designing units using expensive fuel for long periods are discussed for the case when maximum operating efficiency is the main concern. For peak units running on cheap fuel, the importance of other factors increases. When the parameters are interdependent, the problem is solved by the method of Lagrange factors; when the parameters are independent, a system of partial differential equations must be solved. Balance equations for gas turbine unit shaft operations and for compression ratios are used to reduce the interdependency of parameters and to utilize the latter method. Compression ratios affecting the investment and operating costs are studied in detail. The calculated costs are found to agree well with actual costs. A final expression is obtained for annual costs in terms of the gas turbine unit parameters. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 06, 1968
Accession Number
AD0683130

Entities

People

  • A. F. Usik
  • F. T. Markovskii

Organizations

  • National Air and Space Intelligence Center

Tags

DTIC Thesaurus Topics

  • Compression
  • Compression Ratio
  • Differential Equations
  • Efficiency
  • Electricity
  • Engineering
  • Equations
  • Gas Turbines
  • Investments
  • Mathematics
  • Partial Differential Equations
  • Thermodynamic Properties
  • Turbines

Fields of Study

  • Engineering

Readers

  • Calculus or Mathematical Analysis
  • Combustion and Flow Dynamics.
  • Computational Modeling and Simulation