Path Catalog
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正在从 AllPath API 加载 Path Catalog…
Path Catalog
列表数据实时取自 GET /api/v1/paths，仅包含存在已发布版本的 Path。
共 7800 条 Path · 第 207 / 780 页
A graduate-level learning path covering the design of energy storage systems for microgrid applications. It progresses from microgrid fundamentals and storage technologies through sizing methodologies, control strategies, and resilience considerations, culminating in a capstone design project.
This advanced graduate-level path provides a systematic understanding of hydrogen-based energy storage systems, covering production via electrolysis, storage and compression, reconversion through fuel cells, system efficiency, and practical applications. Learners will develop the analytical skills to evaluate and design hydrogen storage systems.
This learning path equips undergraduate engineering students with the knowledge to design thermal energy storage systems for building HVAC applications. It covers chilled water storage, ice storage, PCM integration, and optimization within HVAC systems, building from fundamentals to application-level design.
This learning path equips undergraduate engineering students with the knowledge to design behind-the-meter battery storage systems for buildings. It covers the fundamentals of battery technology, key system components, design considerations for self-consumption and backup power, economic analysis including peak shaving and incentives, and practical implementation steps.
This learning path equips undergraduate engineering students with the knowledge to analyze utility-scale battery energy storage systems (BESS). It covers battery fundamentals, system architecture, power conversion, grid integration, safety, and economics, providing a structured approach to understanding plant design and operation.
This learning path equips undergraduate engineering students with the knowledge to analyze electric vehicle battery systems, covering electrochemistry, battery pack design, thermal management, safety, charging, and range estimation. It progresses from fundamental battery concepts to system-level analysis, emphasizing practical applications and safety considerations.
This graduate-level path equips learners with the mathematical and computational tools to formulate and solve energy storage sizing problems, balancing capacity, power, cost, and reliability. It progresses from foundational optimization and storage fundamentals through advanced modeling and solution techniques, culminating in practical case studies.
This advanced graduate-level path equips learners with the knowledge and skills to model and manage battery thermal behavior. It covers heat generation, thermal runaway, cooling strategies, and thermal management design, integrating advanced heat transfer and programming.
This advanced graduate-level path equips learners with the rigorous thermodynamic principles and heat transfer analysis needed to design phase change materials (PCMs) for thermal energy storage. It covers phase equilibrium, latent heat fundamentals, melting and freezing kinetics, and heat transfer enhancement strategies, culminating in a comprehensive design framework.
This graduate-level path equips learners with the knowledge and skills to apply physics-based and empirical models for predicting battery performance. It covers equivalent circuit models, electrochemical models (P2D), thermal models, and aging models, along with essential electrochemistry and numerical methods. The path emphasizes hands-on implementation and validation against experimental data.