JAMB

Problem statement

Imagine a technician sweeping a hydrogen storage facility with a handheld sensor, unaware a leak is quietly building into a flammable, invisible cloud beyond the instrument’s reach. Hydrogen is colorless, odorless, and tasteless, and diffuses through fittings and seals more readily than most gases, so a leak can spread well before anyone notices it [1]. This is not a rare event; the European Hydrogen Incident and Accident Database has logged over 700 hydrogen-related incidents, with undetected leaks and inadequately connected detection systems recurring as root causes [2]. As hydrogen use expands into refining, ammonia production, metallurgy, and the growing fuel economy, more sites face this same risk [3]. Yet detection has not kept pace. Fixed-point sensors only report a leak at the single spot where a sensor sits, and handheld detectors require someone to physically walk through the plume to find it [1]. A ground-based mobile detector only partially closes this gap. Because hydrogen’s buoyancy disperses it in three dimensions, a wheeled robot confined near ground level cannot sample the full plume or reach elevated or obstructed release points the way an aerial platform can [4]. Infrared imaging, the standard for visualizing methane leaks, cannot fill this role either, since conventional IR sensors are insensitive to hydrogen, lacking the spectral signature IR cameras rely on [5]. A laser-based imaging system sidesteps that limitation by relying on a property every gas shares, not a spectral fingerprint only some possess. Any gas whose refractive index differs from air, hydrogen included, bends and scatters coherent light passing through it, so an expanded laser and camera watching for that distortion can reveal a plume exactly where IR goes blind. Industrial utilization of hydrogen, and by extension Professor Sanders and the research supporting it, needs a way to see where a leak actually is, not just that one exists, mounted on a pole, tower, or eventually a drone to reach what ground-based detection cannot. References [1] X. Zou, S. Jiang, Z. Luo, T. Wang, F. Chen, J. Ju, S. Lin, W. Jin, J. Yin, and C. Yang, “A safe and high-precision detection method for hydrogen leakage analysis of underground gas storage based on stimulated Raman spectroscopy of micro-nanofiber,” Fuel, vol. 400, p. 135743, 2025. [2] J. X. Wen, M. Marono, P. Moretto, E.-A. Reinecke, P. Sathiah, E. Studer, E. Vyazmina, and D. Melideo, “Statistics, lessons learned and recommendations from analysis of HIAD 2.0 database,” International Journal of Hydrogen Energy, vol. 47, no. 38, pp. 17082-17096, 2022. [3] R. Ramachandran and R. K. Menon, “An overview of industrial uses of hydrogen,” International Journal of Hydrogen Energy, vol. 23, no. 7, pp. 593-598, 1998. [4] A. Francis, S. Li, C. Griffiths, and J. Sienz, “Gas source localization and mapping with mobile robots: A review,” Journal of Field Robotics, vol. 39, pp. 1341-1373, 2022. [5] M. W. Qanbar and Z. Hong, “A Review of Hydrogen Leak Detection Regulations and Technologies,” Energies, vol. 17, no. 16, p. 4059, 2024.