Development of thermodynamically assisted machine learning model to select best fuel for the thermal power station

Author:

Dutta Abhijit,Datta Debabrata,Malebary Sharaf J.,Alam Mohammad Mahtab,Gorji M.R.,Eldin Sayed M.

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,Engineering (miscellaneous)

Reference24 articles.

1. Chapter 2; Coal-Fired Generation || Coal Types and the Production and Trade in Coal;Breeze,2015

2. Study on the effect of cooling water temperature rise on loss factor and efficiency of a condenser for a 210 MW thermal power unit;Dutta;Int. J. Emerg. Techn. Adv. Engg.,2013

3. An investigation of the second law performance for a condenser used in 210 MW thermal power station;Al-Mubaddel;Case Stud. Therm. Eng.,2021

4. Machine learning the thermodynamic arrow of time;Seif;Nat. Phys.,2020

5. Estimation of chemical exergy of solid, liquid and gaseous fuels used in thermal power plants;Kaushik;J. Therm. Anal. Calorim.,2014

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