An Overview of the Recent Advances in Composite Materials and Artificial Intelligence for Hydrogen Storage Vessels Design

Abstract

The environmental impact of CO2 emissions is widely acknowledged, making the development of alternative propulsion systems a priority. Hydrogen is a potential candidate to replace fossil fuels for transport applications, with three technologies considered for the onboard storage of hydrogen: storage in the form of a compressed gas, storage as a cryogenic liquid, and storage as a solid. These technologies are now competing to meet the requirements of vehicle manufacturers; each has its own unique challenges that must be understood to direct future research and development efforts. This paper reviews technological developments for Hydrogen Storage Vessel (HSV) designs, including their technical performance, manufacturing costs, safety, and environmental impact. More specifically, an up-to-date review of fiber-reinforced polymer composite HSVs was explored, including the end-of-life recycling options. A review of current numerical models for HSVs was conducted, including the use of artificial intelligence techniques to assess the performance of composite HSVs, leading to more sophisticated designs for achieving a more sustainable future.

Prediction of Fatigue Life of Polyetherimide/Carbon Fiber Particulate Composites at Various Maximum Stresses and Filler Contents

“…Sets of required physical and mechanical properties of the PCMs can include up to several dozen different parameters. Despite the fact that the number of commercially available PCMs is quite large, their characteristics gradually cease to meet the ever-tightening requirements as technologies are improved, prompting the development of new grades [ 1 , 2 , 3 , 4 , 5 ].…”

Nanomaterials: paving the way for the hydrogen energy frontier

“…Notably, nanomaterials are employed in improving the structural strength and durability of hydrogen storage tanks and pipelines. Composite materials incorporating carbon nanotubes and graphene exhibit promising results in enhancing hydrogen storage and transport, addressing challenges such as hydrogen embrittlement [ 13 ]. Furthermore, nanomaterials contribute to the development of highly sensitive and selective hydrogen sensors, mitigating the challenges associated with detecting the colorless and odorless nature of hydrogen gas [ 14 , 15 ].…”

Winding Pattern Planning and Control of a Filament Winding Machine for Gas-Cylinders

“…In terms of optimized design, Colombo and Vergani [12] proposed the selection of parameters, such as fiber matrix, fiber volume fraction, and winding angle, in the design phase to obtain the optimal manufacturing parameters for glass-fiber-reinforced composite light tubes. With the development of artificial intelligence, learning-based related methods were also applied to winding machines [13,14]. The improvement of winding quality through sensor integration by machine learning was also discussed in [15].…”