2009
DOI: 10.1115/1.3026562
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A Systematic Comparison and Multi-Objective Optimization of Humid Power Cycles—Part II: Economics

Abstract: The steam injected gas turbine (STIG), humid air turbine (HAT), and TOP Humid Air Turbine (TOPHAT) cycles lie at the center of the debate on which humid power cycle will deliver optimal performance when applied to an aeroderivative gas turbine and, indeed, when such cycles will be implemented. Of these humid cycles, it has been claimed that the TOPHAT cycle has the highest efficiency and specific work, followed closely by the HAT and then the STIG cycle. In this study, the systems have been simulated using con… Show more

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Cited by 5 publications
(2 citation statements)
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“…Because of the uncertainties relating to thermodynamic comparison among different energy systems, the decision for on which option to give more emphasis should be made on grounds other than thermodynamic analysis alone. Therefore, many authors worked on thermoeconomics and thermoenvironomic optimization of gas turbine systems …”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Because of the uncertainties relating to thermodynamic comparison among different energy systems, the decision for on which option to give more emphasis should be made on grounds other than thermodynamic analysis alone. Therefore, many authors worked on thermoeconomics and thermoenvironomic optimization of gas turbine systems …”
Section: Introductionmentioning
confidence: 99%
“…Therefore, many authors worked on thermoeconomics and thermoenvironomic optimization of gas turbine systems. 22,[29][30][31][32][33][34][35][36][37][38][39][40] Vieira et al 29 integrated a mathematical exergoeconomic optimization procedure with a process simulator to be used for optimizing thermal systems and gave an application to the CGAM system. Valero et al 30 presented a conventional solution for the CGAM problem and gave equations for calculating the purchase costs for the components of a gas turbine plant which are being used extensively in thermoeconomic optimization of gas turbines.…”
Section: Introductionmentioning
confidence: 99%