Performance assessment and multiobjective optimization of a biomass waste-fired gasification combined cycle for emission reduction

Hai T 1 , Alshahri AH 2 , Mohammed AS 3 , Sharma A 4 , Almujibah HR 2 , Mohammed Metwally AS 5 Show all authors , Ullah M 6

Affiliations 

  • 1 School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, Guizhou, 558000, China; School of Electronics and Information Engineering, Ankang University, Ankang, China; Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Universiti Teknologi MARA, Shah Alam, 40450, Malaysia. Electronic address: haitao@sgmtu.edu.cn
  • 2 Department of Civil Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif City, 21974, Saudi Arabia
  • 3 Department of Software and Informatics Engineering, College of Engineering, Salahaddin University-Erbil, Kurdistan Region, Iraq; Department of Computer Engineering, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, Iraq. Electronic address: amin.mohammed@su.edu.krd
  • 4 Institute of Engineering and Technology, GLA University, Mathura, UP, 281406, India
  • 5 Department of Mathematics, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia
  • 6 Graduate School of Economics and Management, Ural Federal University, Yekaterinburg, 620002, Russia
Chemosphere, 2023 Sep;334:138980.
PMID: 37207897 DOI: 10.1016/j.chemosphere.2023.138980

Abstract

The use of renewable fuels leads to reduction in the use of fossil fuels and environmental pollutants. In this study, the design and analysis of a CCPP based on the use of syngas produced from biomass is discussed. The studied system includes a gasifier system to produce syngas, an external combustion gas turbine and a steam cycle to recover waste heat from combustion gases. Design variables include syngas temperature, syngas moisture content, CPR, TIT, HRSG operating pressure, and PPTD. The effect of design variables on performance components such as power generation, exergy efficiency and total cost rate of the system is investigated. Also, through multi-objective optimization, the optimal design of the system is done. Finally, it is observed that at the final decisioned optimal point, the produced power is 13.4 MW, the exergy efficiency is 17.2%, and the TCR is 118.8 $/h.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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