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Optimization-based sensitivity analyses are performed to explore the neighborhood of the maximum efficiency cycle design with the aim of finding combinations of the cycle variables which lead to reduced costs and thermo-mechanical stress of the most critical components.
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To give a meaningful comparison among the thermodynamic cycles, is that the maximum efficiency belongs to the Carnot cycle [27].
The French engineer Sadi Carnot described (in 1824) a theoretical power cycle of maximum efficiency for converting thermal into mechanical energy.
A practical engine operating on the Carnot cycle has never been devised, but the Carnot cycle determines the maximum efficiency of thermal energy conversion into any form of directed energy.
The main goals of this study are the systematic optimization of the cycle for the maximum efficiency, and the quantification of the effects of the modelling assumptions and equipment performance on the optimal cycle variables and efficiency.
Additionally, pulse combustor implementation as the supplementary firing in the bottoming cycle led to the maximum efficiency of 41.8%.
With a target base level, or theoretical maximum efficiency of 35%, as to be competitive with bottoming cycle based hydrogen production technologies, identified hybrid cycles are screened with an evaluation procedure based on heat pinch analysis.
With any given resource temperature, cycle performance are optimized on both heating and cooling sides of the cycle for maximum power generation or maximum efficiency.
It is shown that even with modest device technology (e.g., turbine inlet temperature of 1650 K), maximum efficiency above 50% can be achieved in simple-cycle engines.
By optimizing the number of cycles of chemical bath deposition, a maximum efficiency of 0.263% was achieved under the illumination of one sun (AM1.5, 100 mW cm−2).
Let it run for an entire cycle to know if the adapter is working with maximum efficiency.
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CEO of Professional Science Editing for Scientists @ prosciediting.com