Analysis and optimisation of a mixed fluid cascade (MFC) process. (April 2017)
- Record Type:
- Journal Article
- Title:
- Analysis and optimisation of a mixed fluid cascade (MFC) process. (April 2017)
- Main Title:
- Analysis and optimisation of a mixed fluid cascade (MFC) process
- Authors:
- Ding, He
Sun, Heng
Sun, Shoujun
Chen, Cheng - Abstract:
- Highlights: Effect of key parameters on MFC process performance are investigated and presented. Configuration optimization is conducted for MFC process. Unit power consumption of MFC process is 4.205 kW h/kmol after optimization. Abstract: A mixed fluid cascade (MFC) process that comprises three refrigeration cycles has great capacity for large-scale LNG production, which consumes a great amount of energy. Therefore, any performance enhancement of the liquefaction process will significantly reduce the energy consumption. The MFC process is simulated and analysed by use of proprietary software, Aspen HYSYS. The effect of feed gas pressure, LNG storage pressure, water-cooler outlet temperature, different pre-cooling regimes, liquefaction, and sub-cooling refrigerant composition on MFC performance are investigated and presented. The characteristics of its excellent numerical calculation ability and the user-friendly interface of MATLAB™ and powerful thermo-physical property package of Aspen HYSYS are combined. A genetic algorithm is then invoked to optimise the MFC process globally. After optimisation, the unit power consumption can be reduced to 4.655 kW h/kmol, or 4.366 kW h/kmol on condition that the compressor adiabatic efficiency is 80%, or 85%, respectively. Additionally, to improve the process further, with regards its thermodynamic efficiency, configuration optimisation is conducted for the MFC process and several configurations are established. By analysing heatHighlights: Effect of key parameters on MFC process performance are investigated and presented. Configuration optimization is conducted for MFC process. Unit power consumption of MFC process is 4.205 kW h/kmol after optimization. Abstract: A mixed fluid cascade (MFC) process that comprises three refrigeration cycles has great capacity for large-scale LNG production, which consumes a great amount of energy. Therefore, any performance enhancement of the liquefaction process will significantly reduce the energy consumption. The MFC process is simulated and analysed by use of proprietary software, Aspen HYSYS. The effect of feed gas pressure, LNG storage pressure, water-cooler outlet temperature, different pre-cooling regimes, liquefaction, and sub-cooling refrigerant composition on MFC performance are investigated and presented. The characteristics of its excellent numerical calculation ability and the user-friendly interface of MATLAB™ and powerful thermo-physical property package of Aspen HYSYS are combined. A genetic algorithm is then invoked to optimise the MFC process globally. After optimisation, the unit power consumption can be reduced to 4.655 kW h/kmol, or 4.366 kW h/kmol on condition that the compressor adiabatic efficiency is 80%, or 85%, respectively. Additionally, to improve the process further, with regards its thermodynamic efficiency, configuration optimisation is conducted for the MFC process and several configurations are established. By analysing heat transfer and thermodynamic performances, the configuration entailing a pre-cooling cycle with three pressure levels, liquefaction, and a sub-cooling cycle with one pressure level is identified as the most efficient and thus optimal: its unit power consumption is 4.205 kW h/kmol. Additionally, the mechanism responsible for the weak performance of the suggested liquefaction cycle configuration lies in the unbalanced distribution of cold energy in the liquefaction temperature range. … (more)
- Is Part Of:
- Cryogenics. Volume 83(2017)
- Journal:
- Cryogenics
- Issue:
- Volume 83(2017)
- Issue Display:
- Volume 83, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 83
- Issue:
- 2017
- Issue Sort Value:
- 2017-0083-2017-0000
- Page Start:
- 35
- Page End:
- 49
- Publication Date:
- 2017-04
- Subjects:
- Mixed refrigerant -- Genetic algorithm -- Unit power consumption -- Configuration optimisation
Low temperature engineering -- Periodicals
Low temperature research -- Periodicals
536.56 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00112275 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cryogenics.2017.02.002 ↗
- Languages:
- English
- ISSNs:
- 0011-2275
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3490.150000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1007.xml