A Sustainable Approach to Vehicle LNG Tank Design Using MOPSO and 3D Modeling

Transportation constitutes a major source of global greenhouse gas emissions. As a low-carbon fuel alternative, the design efficiency and performance of Liquefied Natural Gas (LNG) storage tanks for vehicles are critically important. However, traditional design methods have a low degree of automation and lack standardized assessment, which can easily lead to repetitive design modifications, causing resource waste and restricting the process of green development. Based on the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm and three-dimensional modeling technology, this study proposes an intelligent design and automated modeling method for vehicle LNG storage tanks oriented towards sustainable design. The results demonstrate that this method completes both tank parameter design and model generation within 30 min. Compared to traditional designs, the proposed method achieves an 8.992% reduction in heat dissipation, a 26.015% reduction in inner vessel compressive deformation, with a trade-off of a 14.452% increase in total weight. This design approach significantly enhances material utilization efficiency and environmental benefits by optimizing resource allocation and performance balance, providing effective technical support for strengthening the sustainability of LNG storage tank design.