Power generation by different waste heat recovery methodologies with reference to cement works in Pakistan: A case study for cement industry in Pakistan

Author(s):  
S. Ali Abbas Kazmi ◽  
M. Zahir Khan
Energy ◽  
2014 ◽  
Vol 64 ◽  
pp. 462-472 ◽  
Author(s):  
Mohammed A. Khatita ◽  
Tamer S. Ahmed ◽  
Fatma. H. Ashour ◽  
Ibrahim M. Ismail

2021 ◽  
Vol 7 ◽  
pp. 638-643
Author(s):  
Nattawut Jaiboon ◽  
Wongkot Wongsapai ◽  
Sopit Daroon ◽  
Rongphet Bunchuaidee ◽  
Chaichan Ritkrerkkrai ◽  
...  

Author(s):  
Youcef Redjeb ◽  
◽  
Khatima Kaabeche-Djerafi ◽  

This work evaluated the air bottoming cycles(ABC) as a technology for waste heat recovery (WHR) at the level of the preheater tower in a cement industry. An optimization code has been developed in MATLAB environment and linked with REFPROP database as a way to design and calculate the different parameters and points of the cycle. The theory of power maximization is adopted and the genetic algorithm is employedasa way to maximize the net power output of the cycle, while a case study of a real cement plant has been taken into consideration for the examination purpose. Results showed that the integration of the ABC cycle for energy valorization contributes to covering around 8.5% of the industry need for electrical energy, by generating an amount of power that can achieve 1.07 MW.In addition, although the cycle has shown a low efficiency, it can be a practical WHR solution especially in case of water deficiency.


2018 ◽  
Vol 30 (3) ◽  
pp. 499-521
Author(s):  
Nayeah Kim ◽  
Yun Seop Hwang ◽  
Mun Ho Hwang

The purpose of this study is to forecast the greenhouse gas reduction potential of Korea’s cement industry by applying the latest data and new reduction methods and compare them with the previously imposed reduction target, 7.1% of Roadmap 2030. The greenhouse gas emissions are estimated on two different parts of fuel combustion and industrial process emissions, and the Reference Energy System is formed based on the cement production processes in 2015. Estimated clinker productions and energy consumptions are applied to develop the BAU scenario, and the MESSAGE model is used for the reduction scenario analysis. The reduction scenarios include raw material substitution, fuel substitution, and waste heat recovery power generation. Greenhouse gas emissions of 33,775 thousand tCO2e are estimated in the BAU scenario and greenhouse gas emissions after reduction are forecasted to be 31,626 thousand tCO2e, decreased 6.4% compared to the BAU scenario. The reduction rates are expected to be 5.3% in raw material substitution, 2.9% in waste heat recovery power generation, 0.7% in fuel substitution, and 0.1% in equipment energy efficiency. Thus, we propose that raw material substitution and waste heat recovery power generation are actively utilized, to review the existing greenhouse gas reduction method and develop the new technologies and to build a cooperation system between government and industry based on mutual trust.


2022 ◽  
pp. 100180
Author(s):  
José J. Fierro ◽  
Cristian Hernández-Gómez ◽  
Carlos A. Marenco-Porto ◽  
César Nieto-Londoño ◽  
Ana Escudero-Atehortua ◽  
...  

Author(s):  
Felipe Raul Ponce Arrieta ◽  
Elviro Pereira Barbosa Junior ◽  
Cláudio Silva

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