Skip to main navigation Skip to search Skip to main content

Operando Monitoring of Bubble Dynamics in PEM Water Electrolyzers Using Tilted Fiber Bragg Grating Sensors

  • Jiajin Zheng
  • , Junyu Lu
  • , Shuaipeng Xu
  • , Yuxiang Li
  • , Zhixuan Shi
  • , Shanshan Cao
  • , Xian Wei
  • , Feifei Shi
  • , Zhijian Zhang
  • , Wei Wei
  • , Kehan Yu

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding the bubble evolution dynamics under operating conditions is critical for a comprehensive performance assessment of water electrolysis systems. However, real-time microscale monitoring of bubble dynamics evolution within these systems remains a significant technical challenge, constrained by their enclosed nature and highly corrosive environments. To address this, we developed an operando monitoring system for internal bubble states in proton exchange membrane water electrolyzers (PEMWEs) utilizing a tilted fiber Bragg grating (TFBG) sensor. By inserting the miniaturized TFBG sensor into the channel of the PEMWE, we achieved monitoring of bubble nucleation, growth, and detachment states under operational conditions. This noninvasive operando monitoring approach established a quantitative relationship model between TFBG transmission spectra with bubble states and thus realized real-time tracking of bubble evolution and population change through continuous spectral inquiry of TFBG cladding-mode resonance. This study is expected to provide theoretical and experimental support for PEMWE structural design and performance optimization.

Original languageEnglish (US)
Pages (from-to)1425-1435
Number of pages11
JournalACS Sensors
Volume11
Issue number2
DOIs
StatePublished - Feb 27 2026

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Instrumentation
  • Process Chemistry and Technology
  • Fluid Flow and Transfer Processes

Fingerprint

Dive into the research topics of 'Operando Monitoring of Bubble Dynamics in PEM Water Electrolyzers Using Tilted Fiber Bragg Grating Sensors'. Together they form a unique fingerprint.

Cite this