Power prediction of waste heat recovery system for a cement plant using back propagation neural network and its thermodynamic modeling

Author:

Ali Ahmer1ORCID,Kamal Khurram1,Ratlamwala Tahir Abdul Hussain1ORCID,Fahad Sheikh Muhammad2,Arsalan Muhammad1

Affiliation:

1. National University of Sciences and Technology Islamabad Pakistan

2. University of Management and Technology Lahore Pakistan

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference38 articles.

1. All Pakistan Cement Manufacturer Association. July 2020. Available fromhttps://www.apcma.com/data_productioncapacity.html.

2. World Cement. September 2020. Available from https://www.worldcement.com/europe‐cis/31072013/whr_cement_conventional_rankine_cycle_76/.

3. RashidM KamalK ZafarT SheikhZ ShahA MathavanS.Energy prediction of a combined cycle power plant using particle swarm optimization trained feed forward neural network. International Conference on Mechanical Engineering Automation and Control Systems (MEACS); 2015.

4. Development of an artificial neural network-based software for prediction of power plant canal water discharge temperature

5. KayaH TufekciP GurgenFS.Local and global learning methods for predicting power of a combined gas & steam turbine. International Conference on Emerging Trends in Computer and Electronics Engineering (ICETCEE); 2012.

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