Integrated Intelligent Energy ›› 2025, Vol. 47 ›› Issue (10): 60-68.doi: 10.3969/j.issn.2097-0706.2025.10.007

• New Energy and Energy Storage System Optimization • Previous Articles     Next Articles

Optimization analysis of a cogeneration system based on methanol synthesis and gas turbine combined cycle

HUANG Ziqi(), WU Zhicong(), XU Gang*(), GE Shiyu(), CHEN Heng()   

  1. Beijing Key Laboratory of Emission Surveillance and Control for Thermal Power GenerationNorth China Electric Power UniversityBeijing 102206, China
  • Received:2024-10-23 Revised:2024-12-16 Published:2025-05-28
  • Contact: XU Gang E-mail:19030821131@163.com;wuzc_ncepu@163.com;xgncepu@163.com;GSY_Ncepu@163.com;heng@ncepu.edu.cn
  • Supported by:
    National Natural Scientific Foundation of China(51821004)

Abstract:

A new system was proposed to achieve comprehensive optimization of the traditional methanol synthesis system. In this system, the purge gas from methanol synthesis system served as the feed gas for the Gas Turbine Combined Cycle (GTCC). Additionally, GTCC effectively recovered the heat generated by the methanol synthesis tower, improving overall energy efficiency and power generation capacity. A model of the new system was developed using Aspen Plus software, and its performance was compared with that of the traditional synthesis system. Thermodynamic and sensitivity analyses were conducted for both systems. Thermodynamic analysis results revealed that, compared to the conventional system, the GTCC-integrated methanol synthesis system achieved a 3.53% enhancement in energy efficiency and a 3.66% improvement in exergy efficiency. Sensitivity analysis indicated that under operating conditions with pressures ranging from 3 to 8 MPa, synthesis temperatures between 200 and 300 ℃, split ratio from 0.95 to 0.99, and an H2/CO2 molar ratio between 2.5 to 3.5, increasing pressure, adopting a higher split ratio, setting the synthesis temperature at 250 ℃, and maintaining an H2/CO2 molar ratio of 3 contributed positively to methanol production.

Key words: green hydrogen-based methanol production, purge gas optimization, energy analysis, exergy analysis, sensitivity analysis

CLC Number: