Comparative design, thermodynamic and techno-economic analysis of utilizing liquefied natural gas cold energy for hydrogen liquefaction processes

Wonjun Noh, Sihwan Park, Junghwan Kim, Inkyu Lee

Research output: Contribution to journalArticlepeer-review

Abstract

This study mainly focuses on determining the optimal configuration that efficiently utilizes liquefied natural gas (LNG) cold energy in hydrogen precooling for liquid hydrogen production. To achieve this goal, two different configurations are designed: (a) adding LNG cold energy to the existing hydrogen precooling cycle and (b) replacing the existing hydrogen precooling cycle with LNG cold energy. An equilibrium hydrogen model is developed to reflect the thermodynamic property of ortho-para conversion of hydrogen. Bayesian optimization is performed to determine the optimal operating conditions which minimize the specific energy consumption for all configurations. The specific energy consumption of the configuration involving hydrogen precooling with only LNG is 5.613 kWh/kg-LH2, and it is reduced by 8.13% and 3.19% from the base case design and the configuration involving hydrogen precooling with both LNG and a mixed refrigerant cycle, respectively. In addition, a techno-economic analysis is conducted. Compare to the base case design, the capital cost and operating cost of the design replacing hydrogen precooling with LNG are reduced by 31.76% and 11.55%, respectively. This study shows that the proposed design of replacing the hydrogen precooling cycle with an LNG stream can save energy consumption, moreover, it is highly effective for capital investment saving due to its simple configuration.

Original languageEnglish
Pages (from-to)12926-12947
Number of pages22
JournalInternational Journal of Energy Research
Volume46
Issue number9
DOIs
Publication statusPublished - 2022 Jul

Bibliographical note

Funding Information:
This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government (MOTIE) (20214000000140, Graduate School of Convergence for Clean Energy Integrated Power Generation) and the Korean Institute of Industrial Technology within the framework of the following projects: “Development of complex parameter smart analysis modules for color customering [grant number EH‐22‐0011].”

Publisher Copyright:
© 2022 John Wiley & Sons Ltd.

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology

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