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4E Evolutionary Analysis in Dual Mixture Combined Cycles
4E Evolutionary Analysis in Dual Mixture Combined Cycles
118,70
131,89 €
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The fundamental purposes of this book are to study the ways to minimize the production of entropy and cycle irreversibility, increase the performance, recognize the parts within the highest exergy destruction, offer an inducer solution to increase the efficiency and coefficient of performance (COP), and reduce carbon emissions by encouraging the use of renewable energies of each proposed multi mixture thermal energy systems. Nevertheless, three different configurations of multi-mixture combined…
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The fundamental purposes of this book are to study the ways to minimize the production of entropy and cycle irreversibility, increase the performance, recognize the parts within the highest exergy destruction, offer an inducer solution to increase the efficiency and coefficient of performance (COP), and reduce carbon emissions by encouraging the use of renewable energies of each proposed multi mixture thermal energy systems. Nevertheless, three different configurations of multi-mixture combined cycles are considered, and the 2E and 4E analysis, including the Energy, Exergy, Exergoeconomic, Exergoenvironmental examination is conducted. Besides, parametric and multi-objective evolutionary algorithms are used for optimization and to achieve the highest exergy and thermal efficiencies.

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  • Author: Soheil Mohtaram
  • Publisher:
  • ISBN-10: 6138947339
  • ISBN-13: 9786138947332
  • Format: 15.2 x 22.9 x 0.7 cm, softcover
  • Language: English English

The fundamental purposes of this book are to study the ways to minimize the production of entropy and cycle irreversibility, increase the performance, recognize the parts within the highest exergy destruction, offer an inducer solution to increase the efficiency and coefficient of performance (COP), and reduce carbon emissions by encouraging the use of renewable energies of each proposed multi mixture thermal energy systems. Nevertheless, three different configurations of multi-mixture combined cycles are considered, and the 2E and 4E analysis, including the Energy, Exergy, Exergoeconomic, Exergoenvironmental examination is conducted. Besides, parametric and multi-objective evolutionary algorithms are used for optimization and to achieve the highest exergy and thermal efficiencies.

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