Prediction of permeation-related hydrogen losses in pipelines based on machine learning
Date Issued
2025-06
Author(s) USM
DOI
10.1016/j.egyr.2025.04.048
Abstract
Green hydrogen plays a crucial role in the transition toward a sustainable energy matrix, with transport through pipelines representing an important part of this transition. Fiber-reinforced polymers hold promise for pipe construction but are gas-permeabl
