Rapid prediction, optimization and design of solar membrane reactor by data-driven surrogate model
Wei-Wei Yang,
Xin-Yuan Tang,
Xu Ma,
Jia-Chen Li,
Chao Xu and
Ya-Ling He
Energy, 2023, vol. 285, issue C
Abstract:
Membrane reactor is a process intensification technology that enhances traditional reactions. This study investigates the optimal operating conditions and structural designs of an insert-enhanced solar methane-to-hydrogen Pd-based membrane reactor (SMMR) for more efficient conversion-reaction and separation-purification. Applying response surface methodology, a data-driven surrogate model is fitted to SMMR for rapid performance prediction, which can combine algorithms to optimize operating conditions and structures. The results indicate that operating conditions center around matching reaction kinetics to strengthen reaction, while structural parameters focus on weakening concentration polarization to enhance separation. Methane feed flow and steam-to-methane ratio are almost always the dominant factors, especially in balancing methane conversion and fuel efficiency. Moreover, SMMR under high-pressure more relies on optimized inserts’ transport enhancement to improve overall reaction-separation performance. The optimized results by single- and multi-objective optimization are similar, where the 4-helical insert delivers a comprehensive excellent methane conversion of 0.95, fuel efficiency of 0.86 and hydrogen recovery of 0.95 at 400 °C inlet temperature and 8 bar pressure. Overall, the optimization of SMMR surrogate model consumes less than 0.2 % of the single simulation CPU time and the average error of the results is about 3 %, showing high efficiency and prediction accuracy.
Keywords: Helical insert; Methane steam reforming; Multi-objective optimization; Response surface methodology (RSM); Solar membrane reactor; Transport enhancement (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544223028268
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:285:y:2023:i:c:s0360544223028268
DOI: 10.1016/j.energy.2023.129432
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).