2023
DOI: 10.1016/j.energy.2022.125551
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Dynamic response assessment and multi-objective optimization of organic Rankine cycle (ORC) under vehicle driving cycle conditions

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Cited by 10 publications
(4 citation statements)
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“…Using the exhaust of internal combustion engines, ORCs can operate with efficiencies of 10–25 % at 1250 to 2800 USD/kW [ 30 ]. However, in moving vehicles, the efficiency of ORC is significantly lower [ 31 ], reducing to 6.4 % or less under road conditions, while low velocities affect safe operation [ 32 ].…”
Section: Methodsmentioning
confidence: 99%
“…Using the exhaust of internal combustion engines, ORCs can operate with efficiencies of 10–25 % at 1250 to 2800 USD/kW [ 30 ]. However, in moving vehicles, the efficiency of ORC is significantly lower [ 31 ], reducing to 6.4 % or less under road conditions, while low velocities affect safe operation [ 32 ].…”
Section: Methodsmentioning
confidence: 99%
“…The genetic algorithm (GA) is a computational model of biological evolution that simulates the natural selection and genetic mechanism of Darwinian biological evolution. At present, GA has become one of the widely used optimization algorithms and an important tool in the optimization of ORC [43,44]. This section uses the GA in the MATLAB optimization toolbox to solve the optimization problem.…”
Section: Optimization Problemmentioning
confidence: 99%
“…It is broadly categorized into two classes based on the power output mode. Organic Ranking cycles [8][9][10], vapor absorption refrigeration cycles [11][12][13], turbocharging [14,15], turbo-compounding [16,17], and Stirling engines [18,19] are the existing waste recovery systems which consume waste heat as input and create mechanical torque. On the other hand, thermionic generators [20] directly convert the heat energy into an electrical current.…”
Section: Introductionmentioning
confidence: 99%