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A Comparative Study of Computational Models for Coal Combustion in Power Generation

EasyChair Preprint no. 11586

9 pagesDate: December 19, 2023


This research paper presents a comprehensive comparative study of various computational models employed in the simulation and analysis of coal combustion processes in power generation systems. The study encompasses a range of computational approaches, including mathematical models, numerical simulations, and advanced algorithms, used to predict and analyze key aspects of coal combustion such as combustion kinetics, emissions, and heat transfer. The paper aims to evaluate the strengths and limitations of each model, considering factors such as accuracy, computational efficiency, and applicability to different combustion scenarios. The findings presented in this comparative study contribute to the ongoing efforts to enhance the predictive capabilities of computational models for coal combustion. Ultimately, this research aims to provide valuable insights for researchers, engineers, and policymakers working towards sustainable and efficient power generation through improved understanding and modeling of coal combustion processes.

Keyphrases: abc, Coal, Combustion

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Jane Smith and Thomson Jhon},
  title = {A Comparative Study of Computational Models for Coal Combustion in Power Generation},
  howpublished = {EasyChair Preprint no. 11586},

  year = {EasyChair, 2023}}
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