Modeling, exergy analysis and optimization of cement plant industry

  • Hossein Abutorabi
  • Ehsan Kianpour Department of Mechanical Engineering, Najafabad Branch,Islamic Azad University, Najafabad, Iran
Keywords: Exergy, Organic Rankine Cycle, Thermodynamic Analysis, Cement Plant, Genetic Algorithm


Cement is the most widely used man-made material. The global cement industry produces about 3.3 billion tons of cement annually. A lot of energy is needed to produce cement. About 200 kg of coal is used to produce each ton of cement. The cement industry also produces about five percent of the world's greenhouse gases. In order to reduce the use of fossil fuels and greenhouse gas emissions, some cement producers have the potential to recover waste heat. The method studied in this research is based on heat recovery from boilers installed at the outlet of clinker cooler and preheater of cement factory. Due to the low temperature of the gases available, three different fluids, water, R123 and R245fa are considered as the operating fluid. Also, energy and exergy analysis is performed in a Rankin cycle and the selection of optimal parameters is considered by using genetic algorithm. By selecting the decision parameters in the optimization of the genetic algorithm such as pinch temperature, evaporator pressure and operating mass flow rate, the optimal values of exergy efficiency were obtained.


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How to Cite
Abutorabi, H. and Kianpour, E. (2022) “Modeling, exergy analysis and optimization of cement plant industry”, Journal of Mechanical and Energy Engineering, 6(1), pp. 55-66. doi: 10.30464/jmee.2022.6.1.55.
Energy Engineering