Banijamali, Seyed Masoud, Ilinca, Adrian, Afrouzi, Ali Alizadeh and Rousse, Daniel R..
2025.
« Optimizing hydrogen liquefaction efficiency through waste heat recovery: A comparative study of three process configurations ».
Processes, vol. 13, nº 5.
Compte des citations dans Scopus : 1.
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Abstract
Hydrogen (H2) liquefaction is an energy-intensive process, and improving its efficiency is critical for large-scale deployment in H2 infrastructure. Industrial waste heat recovery contributes to energy savings and environmental improvements in liquid H2 processes. This study proposes a comparative framework for industrial waste heat recovery in H2 liquefaction systems by examining three recovery cycles, including an ammonia–water absorption refrigeration (ABR) unit, a diffusion absorption refrigeration (DAR) process, and a combined organic Rankine/Kalina plant. All scenarios incorporate 2 MW of industrial waste heat to improve precooling and reduce the external power demand. The simulations were conducted using Aspen HYSYS (V10) in combination with an m-file code in MATLAB (R2022b) programming to model each configuration under consistent operating conditions. Detailed energy and exergy analyses are performed to assess performance. Among the three scenarios, the ORC/Kalina-based system achieves the lowest specific power consumption (4.306 kWh/kg LH2) and the highest exergy efficiency in the precooling unit (70.84%), making it the most energy-efficient solution. Although the DAR-based system shows slightly lower performance, the ABR-based system achieves the highest exergy efficiency of 52.47%, despite its reduced energy efficiency. By comparing three innovative configurations using the same industrial waste heat input, this work provides a valuable tool for selecting the most suitable design based on either energy performance or thermodynamic efficiency. The proposed methodology can serve as a foundation for future system optimization and scale-up.
| Item Type: | Peer reviewed article published in a journal |
|---|---|
| Professor: | Professor Ilinca, Adrian Rousse, Daniel R. |
| Affiliation: | Génie mécanique, Génie mécanique |
| Date Deposited: | 30 Jun 2025 20:27 |
| Last Modified: | 07 Aug 2025 21:20 |
| URI: | https://espace2.etsmtl.ca/id/eprint/31077 |
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