Energy and exergy co-optimization of IGCC with lower emissions based on fuzzy supervisory predictive control

Jinghua Xu; Tiantian Wang; Mingyu Gao; Tao Peng; Shuyou Zhang; Jianrong Tan

Energy Reports (Nov 2020)

Energy and exergy co-optimization of IGCC with lower emissions based on fuzzy supervisory predictive control

Jinghua Xu,
Tiantian Wang,
Mingyu Gao,
Tao Peng,
Shuyou Zhang,
Jianrong Tan

Affiliations

Jinghua Xu: State Key Lab of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China; Key Lab of Advanced Manufacturing Technology of Zhejiang Province, Hangzhou 310027, China; School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Tiantian Wang: School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Mingyu Gao: School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Tao Peng: Hangzhou Turbine Machinery Equipment CO., LTD, Hangzhou 310022, China
Shuyou Zhang: State Key Lab of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China; Key Lab of Advanced Manufacturing Technology of Zhejiang Province, Hangzhou 310027, China; School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China; Corresponding author.
Jianrong Tan: State Key Lab of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China; Key Lab of Advanced Manufacturing Technology of Zhejiang Province, Hangzhou 310027, China; School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China

Journal volume & issue: Vol. 6
pp. 272 – 285

Abstract

Read online

This paper presents an energy and exergy co-optimization method of integrated gasification combined cycle (IGCC) based on Fuzzy Supervisory Predictive Control (FSPC). Firstly, a green IGCC process is proposed which contains three principle couplings: air separation unit (ASU), heat recovery steam generator (HRSG) and CO2 capture/storage unit (CCS). From law of thermodynamics, using substance thermophysical parameters, the energy efficiency and exergy efficiency of IGCC are successively defined. The IGCC power station has features such as closed coupling, large time lag and non-linearity, however, faster response speed and lower overshoot are always the unremitting pursuits. Therefore, the Fuzzy Supervisory Predictive Control (FSPC) method is proposed to implement robust control under complex disturbances by pre-considering unmeasurable disturbance and measurable disturbance. The fuzzy rules extracted from historical bigdata are employed in supervisory layer to make the precise control decisions. Finally, the energy and exergy co-optimization model is built and solved for higher efficiency and economic effectiveness. Taking the large-scale (300MW) IGCC for example, after using FSPC, the efficiency of water recovery is increased from 40.7% to 62.1% with the ratio of 52.6% because of waste water recovery (WWR) system. The net efficiency of proposed IGCC system is increased from 37.6% to 41.7% with the ratio of 10.9%. The exergy efficiency of IGCC system is increased from 36.5% to 39.2% with the ratio of 7.4%. The proposed method has great significance for the energy-saving and Near-zero emissions (NZEC) IGCC with high safety and robust control under supercritical (SC) or ultra-super critical (USC) state.

Published in Energy Reports

ISSN: 2352-4847 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: http://www.journals.elsevier.com/energy-reports/

About the journal

Abstract

Keywords