The Optimal Operation Criteria for a Gas Turbine Cogeneration System

Abstract

The study demonstrated the optimal operation criteria of a gas turbine cogeneration system based on the analytical solution of a linear programming model. The optimal operation criteria gave the combination of equipment to supply electricity and steam with the minimum energy cost using the energy prices and the performance of equipment. By the comparison with a detailed optimization result of an existing cogeneration plant, it was shown that the optimal operation criteria successfully provided a direction for the system operation under the condition where the electric power output of the gas turbine was less than the capacity.

Serami̇k Sektöründe Kojenerasyon Tesi̇sleri̇ İle Elektri̇k Üreti̇m Karari İçi̇n Karar Destek Si̇stemi̇

“…Bunun sonucunda enerji verimlerini %83-94, ekserji verimlerini %28-29 olarak elde etmişler ve ekserji verimliliklerinin enerji verimliliğinden daha anlamlı olduğu sonucuna varmışlardır. Ishida, Bannai, Miyazaki, Harada, Yokoyama & Akisawa (2009), yaptıkları çalışma doğrusal programlama modelinin analitik çözüme dayanan kojenerasyon sisteminin optimal çalışmasını ele almaktadır. Optimum çalışma kriterleri, enerji fiyatlarını ve ekipmanlarının performansını içermektedir.…”

A Novel Hybrid Approach for Numerical Modeling of the Nucleating Flow in Laval Nozzle and Transonic Steam Turbine Blades

“…The number of critical droplets during each step produced by the nucleation process can be calculated by knowing the modified classical nucleation rate, the fluid's solution stage travel time (δt) and the volume of the element as shown by Equations (5) and (6) [1,7,9,13,15,32]:…”

“…It should be noted that by using this innovative hybrid method, one can take advantages of both central difference scheme and upstream scheme (scalar and CUSP, respectively) at the same time in simulating complex flows in any other finite volume scheme.presence of blades of tip-section geometry, given the relatively high complexities, there is still a need for improved numerical methods with reduced numerical errors, for accurate modeling of the flow. For this purpose, one may see the derivation of a more accurate numerical method to capture condensation shock and aerodynamic shocks (flow discontinuities) with minimum fluctuations and, particularly, minimal numerical errors as one of the important challenges faced by computational fluid dynamics (CFD) [4][5][6][7].Vapor flow through the nozzles and cascade blades in the low pressure transonic steam turbine is transformed into supercooled steam due to the rapid expansion and delay in fluid condensation. The phase change of the fluid from vapor to liquid droplets results in the release of some latent heat, part of which will be stored in the droplet, thereby, increasing it's temperature.…”

“…presence of blades of tip-section geometry, given the relatively high complexities, there is still a need for improved numerical methods with reduced numerical errors, for accurate modeling of the flow. For this purpose, one may see the derivation of a more accurate numerical method to capture condensation shock and aerodynamic shocks (flow discontinuities) with minimum fluctuations and, particularly, minimal numerical errors as one of the important challenges faced by computational fluid dynamics (CFD) [4][5][6][7].…”