- We will send in 10–14 business days.
/images/books/13500438/9786203303094.jpg)
- Author: Soheil Mohtaram
- Publisher: LAP Lambert Academic Publishing
- ISBN-10: 6203303097
- ISBN-13: 9786203303094
- Format: 15.2 x 22.9 x 0.7 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
4E Evolutionary Analysis in Dual Mixture Combined Cycles (e-book) (used book) | bookbook.eu
Reviews
Description
4E Evolutionary Analysis in Dual Mixture Combined Cycles: The fundamental purposes of this book are to study the ways to minimize the production of entropy and cycle irreversibility, increase the performance, offer an inducer solution to increase the efficiency and coefficient of performance (COP), and reduce carbon emissions by encouraging the use of renewable energies. Nevertheless, three different configurations of multi mixture combined cycles are considered, and the 2E and 4E analysis, including the Energy, Exergy, Exergoeconomic, Exergoenvironmental the examination is conducted. Besides, parametric and multi-objective evolutionary algorithms are used for optimization and to achieve the highest exergy and thermal efficiencies.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 19d.10:06:35
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Soheil Mohtaram
- Publisher: LAP Lambert Academic Publishing
- ISBN-10: 6203303097
- ISBN-13: 9786203303094
- Format: 15.2 x 22.9 x 0.7 cm, softcover
- Language: English English
4E Evolutionary Analysis in Dual Mixture Combined Cycles: The fundamental purposes of this book are to study the ways to minimize the production of entropy and cycle irreversibility, increase the performance, offer an inducer solution to increase the efficiency and coefficient of performance (COP), and reduce carbon emissions by encouraging the use of renewable energies. Nevertheless, three different configurations of multi mixture combined cycles are considered, and the 2E and 4E analysis, including the Energy, Exergy, Exergoeconomic, Exergoenvironmental the examination is conducted. Besides, parametric and multi-objective evolutionary algorithms are used for optimization and to achieve the highest exergy and thermal efficiencies.
Reviews