Process modelling and optimization of a 250 MW IGCC system: Model setup, validation, and preliminary predictions

Qilong Xu, Shuai Wang, Kun Luo, Yanfei Mu, Lu Pan and Jianren Fan

Energy, 2023, vol. 272, issue C

Abstract: Integrated gasification combined cycle (IGCC) has emerged as a clean and efficient power generation technology, yet a cost-effective tool for process modelling and optimization of industrial-scale IGCC systems is still lacking. Accordingly, this work established an integrated model to predict the efficiency of a 250 MW industrial-scale IGCC system. After comprehensive validations with the design values and experimental data, the integrated model was used to predict power generation of the IGCC system under different load conditions (i.e., 50%, 70%, and 100%), with a focus on the efficiency assessment by energy analysis and exergy analysis. The results show that the IGCC system can operate stably under wide load conditions. Under the full load condition, the total power generation of the IGCC system is 262,051 kW; The thermal efficiency of the investigated IGCC system is 45.7%, higher than the conventional IGCC systems with energy efficiency in the range of 40%–45%. The exergy analysis considering the energy quality is more reasonable to assess the efficiency of the IGCC system with energy conversion and utilization, with an exergy efficiency of 41.8%. The air separation and gasification units have high energy consumption but low efficiency, which needs to be further optimized to improve system efficiency.

Keywords: IGCC; Process modelling; Power generation; Energy analysis; Exergy analysis (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544223004346
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:272:y:2023:i:c:s0360544223004346

DOI: 10.1016/j.energy.2023.127040

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().