2015
DOI: 10.1016/j.applthermaleng.2015.08.014
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Optimization of a modified double-turbine Kalina cycle by using Artificial Bee Colony algorithm

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Cited by 35 publications
(11 citation statements)
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“…One of the modified configurations resulted in 2 % to 9.4 % higher net work output than the standard Kalina cycle power system with a throttle valve. In a similar kind of study, Sadeghi et al [167] proposed and optimized a double-turbine Kalina cycle power system with two separators using the artificial bee colony algorithm. Optimal values for the inlet temperature and pressure for one of the separators were reported for obtaining the highest thermal efficiency.…”
Section: Geothermal Heat Based Kalina Cycle Power Systemsmentioning
confidence: 99%
“…One of the modified configurations resulted in 2 % to 9.4 % higher net work output than the standard Kalina cycle power system with a throttle valve. In a similar kind of study, Sadeghi et al [167] proposed and optimized a double-turbine Kalina cycle power system with two separators using the artificial bee colony algorithm. Optimal values for the inlet temperature and pressure for one of the separators were reported for obtaining the highest thermal efficiency.…”
Section: Geothermal Heat Based Kalina Cycle Power Systemsmentioning
confidence: 99%
“…Nowadays, an optimal design of the structures plays a significant role in determining the best operating conditions, which may lead to a reduction in the final cost of the construction projects. Optimization algorithms have been broadly used during the last decade chiefly for energy system applications [22,23]. Multi-objective optimization is a method of multiple criteria decision-making that is mainly related to mathematical optimization problems including more than one objective function with equality and inequality constraints to be optimized, simultaneously [24].…”
Section: Optimizationmentioning
confidence: 99%
“…Guo et al 15 introduced a Kalina cycle, which is able to utilize the heat source's energy and is capable of reducing the exhaust temperature via a double-pressure evaporator. Sadeghi et al 16 considered a double turbine Kalina cycle, which is able to match heat sources' temperature in the range of 353.15-473.15 K properly. Their results revealed that the innovated cycle requires less amount of energy when the separator pressure increases.…”
Section: Introductionmentioning
confidence: 99%
“…Sadeghi et al. 16 considered a double turbine Kalina cycle, which is able to match heat sources’ temperature in the range of 353.15–473.15 K properly. Their results revealed that the innovated cycle requires less amount of energy when the separator pressure increases.…”
Section: Introductionmentioning
confidence: 99%