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Process simulation and energy storage performance analysis of methanol synthesis from CO2 and green hydrogen
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Guohui Song1, Longxin Liang1, Rongxin Ye1, Yiyao Ru1, Xiaobo Cui1, 2, Haiming Gu1
Renewable Energy Resources | 2024, 42(6) : 725 - 731
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Renewable Energy Resources | 2024, 42(6): 725-731
Process simulation and energy storage performance analysis of methanol synthesis from CO2 and green hydrogen
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Guohui Song1, Longxin Liang1, Rongxin Ye1, Yiyao Ru1, Xiaobo Cui1, 2, Haiming Gu1
Affiliations
  • 1 School of Energy and Power Engineering Nanjing Institute of Technology Nanjing 211167 China
  • 2 School of Energy and Environment Southeast University Nanjing 210096 China
Published: 2024-06-20
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This paper studied the simulation of methanol synthesis from CO2 and green hydrogen, and proposed an indicator of the energy storage density of CO2. Then influences of multiple variables on the performance indicators were analyzed. The results show that the systematic energy efficiency and energetic yield of methanol increase with the increase in the electrolysis efficiency, per pass CO2 conversion rate, electrolysis pressure, and initial CO2 pressure. However, these indicators decrease with the increase in the methanol synthesis pressure. The variations of the energy storage density of CO2 with these variables are opposite to the systematic energy efficiency and energetic yield. The electrolysis efficiency and per pass CO2 conversion rate are the sensitive and key variables of this process. Under the optimal conditions, the systematic energy efficiencies based on the higher and lower heating values are 68.0% and 59.6%, respectively, the energy storage density of CO2 is 6.07 kWh/kg, and the energetic yield of methanol is 0.108 kg/(kW·h), indicating the powertomethanol system using CO2 as feedstock is unsatisfactory in term of systematic energy efficiency, but has significant advantage in the energy storage density.

water electrolysis  /  CO2 utilization  /  methanol  /  process simulation  /  systematic energy efficiency  /  density of energy storage
Guohui Song, Longxin Liang, Rongxin Ye, Yiyao Ru, Xiaobo Cui, Haiming Gu. Process simulation and energy storage performance analysis of methanol synthesis from CO2 and green hydrogen[J]. Renewable Energy Resources, 2024 , 42 (6) : 725 -731 .
Year 2024 volume 42 Issue 6
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  • Receive Date:2023-02-15
  • Online Date:2025-07-22
  • Published:2024-06-20
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  • Received:2023-02-15
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    1 School of Energy and Power Engineering Nanjing Institute of Technology Nanjing 211167 China
    2 School of Energy and Environment Southeast University Nanjing 210096 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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