Multi-objective optimization of hydrogen liquefaction process integrated with liquefied natural gas system
•Energy consumption, cost, and CO2 emission of hydrogen liquefaction were optimized.•Maximum LNG usage and minimum GH2 and N2 flowrates ensure optimal energy and cost.•If cost increases 45% from the base case, total CO2 emissions could decrease 38%.•Specific energy consumption of optimized case show...
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Veröffentlicht in: | Energy conversion and management 2021-03, Vol.231, p.113835, Article 113835 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •Energy consumption, cost, and CO2 emission of hydrogen liquefaction were optimized.•Maximum LNG usage and minimum GH2 and N2 flowrates ensure optimal energy and cost.•If cost increases 45% from the base case, total CO2 emissions could decrease 38%.•Specific energy consumption of optimized case shows an increase of 0.37 kWh/kg-LH2.
Liquid hydrogen is gaining increasing attention owing to its high energy density as 10.1 MJ/L compared to gaseous hydrogen as 5.6 MJ/L at 700 bar. However, the energy required for its cryogenic processes is significant. To reduce this energy demand, liquefied natural gas (LNG) cooling was introduced in addition to a nitrogen refrigerant to the hydrogen liquefaction process. The resultant hydrogen production from the steam methane reforming process via LNG emits carbon dioxide. Therefore, it is necessary to consider both energy and CO2 emission when optimizing this system. To minimize these factors, single and multi-objective optimizations were performed, as well as a cost analysis in order to determine the optimal performance. The results of multi-objective optimization reveal that the CO2 emissions decrease by 38%, whereas the total investment cost is increased by 45% compared to the base case. The specific energy consumption is increased from 10.76 kWh/kg-LH2 to 11.13 kWh/kg-LH2. Therefore, the compromise between the cost and the CO2 emissions is made in the proposed case. These results will provide valuable insights regarding the economic demand and CO2 emission for future decision-making processes. |
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ISSN: | 0196-8904 1879-2227 |
DOI: | 10.1016/j.enconman.2021.113835 |