English: With the global transition toward sustainable and low-carbon energy, both traditional and renewable energy systems are facing increasing challenges in enhancing efficiency, reducing emissions, and achieving effective system integration. Accurate numerical simulation and advanced optimization techniques are essential for the design, analysis, and operation of these complex systems. This session focuses on recent advances in modeling and simulation methods applied to a wide range of energy technologies, including conventional fossil-based systems, renewable energy applications, and energy storage solutions. Particular attention is given to various forms of energy storage, such as latent heat thermal energy storage (LHTES), thermochemical energy storage, and compressed air energy storage (CAES). The session also welcomes contributions on hydrogen storage technologies, carbon capture and storage (CCS), and the simulation and optimization of oil and natural gas transportation systems. The objective is to foster interdisciplinary collaboration and support the development of next-generation simulation and optimization tools for intelligent, efficient, and reliable energy systems.

中文: 随着全球向可持续和低碳能源转型，传统能源系统和可再生能源系统在提高效率、减少排放和实现有效系统集成方面都面临着越来越多的挑战。精确的数值模拟和先进的优化技术对于这些复杂系统的设计、分析和运行至关重要。本论坛聚焦于建模和仿真方法在广泛能源技术中的最新进展，包括传统化石能源系统、可再生能源应用和储能解决方案。特别关注各种形式的储能，如潜热储能（LHTES）、热化学储能和压缩空气储能（CAES）。论坛也欢迎关于氢储能技术、碳捕集与封存（CCS）以及石油天然气运输系统仿真与优化的研究成果。目标是促进跨学科合作，支持开发新一代用于智能、高效和可靠能源系统的仿真与优化工具。

We welcome high-quality research papers, case studies, and review articles that address emerging challenges in the modeling and optimization of energy systems and technologies. / 我们欢迎针对能源系统与技术建模和优化中新出现挑战的高质量研究论文、案例研究和综述文章。