EconPapers    
Economics at your fingertips  
 

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).

 
Page updated 2024-12-28
Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223028268