Research Article

Performance assessment of a combined coal gasification and methanation system with particle swarm optimization method

Volume: 11 Number: 2 June 30, 2022
TR EN

Performance assessment of a combined coal gasification and methanation system with particle swarm optimization method

Abstract

Carbon dioxide hydrogenation is a promising method of producing alternative fuels in an environmentally friendly way. Researchers in the current literature have mainly investigated the performance of carbon dioxide hydrogenation systems that use carbon dioxide from various sources and hydrogen from water electrolysis units. In the present study, the performance of a combined coal gasification and methanation unit is investigated to produce methane and power. The carbon dioxide and hydrogen for the methanation unit are provided from the coal gasification system. A Particle swarm optimization (PSO) method is applied to optimize the carbon dioxide and hydrogen values here. Therefore, the water electrolysis unit, which needs high amounts of energy is removed from the system, effectively. The results from the studied system showed that it is possible to produce ~225 kilotons of methane annually by using ~946 kilotons of coal per year. In addition, the results revealed that annual carbon dioxide utilization of ~624.3 kilotons is possible. The system efficiency is estimated at around 49%.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

June 30, 2022

Submission Date

December 13, 2021

Acceptance Date

June 2, 2022

Published in Issue

Year 2022 Volume: 11 Number: 2

APA
Herdem, M. S., & Yalçın, S. (2022). Performance assessment of a combined coal gasification and methanation system with particle swarm optimization method. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 11(2), 490-498. https://doi.org/10.17798/bitlisfen.1036026
AMA
1.Herdem MS, Yalçın S. Performance assessment of a combined coal gasification and methanation system with particle swarm optimization method. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2022;11(2):490-498. doi:10.17798/bitlisfen.1036026
Chicago
Herdem, Münür Sacit, and Sercan Yalçın. 2022. “Performance Assessment of a Combined Coal Gasification and Methanation System With Particle Swarm Optimization Method”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11 (2): 490-98. https://doi.org/10.17798/bitlisfen.1036026.
EndNote
Herdem MS, Yalçın S (June 1, 2022) Performance assessment of a combined coal gasification and methanation system with particle swarm optimization method. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11 2 490–498.
IEEE
[1]M. S. Herdem and S. Yalçın, “Performance assessment of a combined coal gasification and methanation system with particle swarm optimization method”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 11, no. 2, pp. 490–498, June 2022, doi: 10.17798/bitlisfen.1036026.
ISNAD
Herdem, Münür Sacit - Yalçın, Sercan. “Performance Assessment of a Combined Coal Gasification and Methanation System With Particle Swarm Optimization Method”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11/2 (June 1, 2022): 490-498. https://doi.org/10.17798/bitlisfen.1036026.
JAMA
1.Herdem MS, Yalçın S. Performance assessment of a combined coal gasification and methanation system with particle swarm optimization method. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2022;11:490–498.
MLA
Herdem, Münür Sacit, and Sercan Yalçın. “Performance Assessment of a Combined Coal Gasification and Methanation System With Particle Swarm Optimization Method”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 11, no. 2, June 2022, pp. 490-8, doi:10.17798/bitlisfen.1036026.
Vancouver
1.Münür Sacit Herdem, Sercan Yalçın. Performance assessment of a combined coal gasification and methanation system with particle swarm optimization method. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2022 Jun. 1;11(2):490-8. doi:10.17798/bitlisfen.1036026

Bitlis Eren University

Journal of Science Editor

Bitlis Eren University Graduate Institute

Bes Minare Mah. Ahmet Eren Bulvari, Merkez Kampus, 13000 BITLIS

E-mail: fbe@beu.edu.tr