Path Catalog
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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 228 / 780 页
A graduate-level learning path applying momentum, heat, and mass transfer principles to energy conversion systems. It builds from foundational mathematics and fluid mechanics through conservation laws, convective heat transfer, and boundary layer theory, culminating in applications to energy systems.
This graduate-level learning path equips learners with the analytical tools to model radiative heat transfer in energy systems, covering blackbody radiation, surface exchange, participating media, and solar radiation. It builds from fundamental physics and calculus through advanced solution methods, culminating in practical applications in energy conversion and thermal management.
A graduate-level learning path that builds from classical thermodynamics and statistical mechanics to nonequilibrium thermodynamics, focusing on Onsager relations, entropy production, and thermoelectric energy conversion. Learners will develop the conceptual and mathematical tools to analyze and optimize energy systems operating away from equilibrium.
This learning path equips graduate students and researchers with the skills to apply economic analysis to energy projects. It covers foundational finance concepts, project evaluation metrics, and the unique economic considerations of energy systems, including externalities and pricing.
This graduate-level path equips learners with the knowledge and skills to conduct and critically evaluate life cycle assessments of energy technologies. It covers LCA methodology, system boundaries, impact categories, and key energy metrics like energy payback time and carbon footprint, grounded in energy systems and statistics.
A comprehensive graduate-level learning path that guides learners from foundational energy systems concepts through advanced modeling techniques, scenario analysis, and practical application using tools like EnergyPLAN and MARKAL. The path emphasizes systems thinking, model formulation, and the interpretation of model results to inform energy policy and planning.
A systematic learning path for advanced undergraduate and graduate students to master the analysis of advanced thermodynamic cycles. It covers fundamental thermodynamics, component modeling, and advanced cycle configurations including Rankine, Brayton, combined, supercritical CO2, and organic Rankine cycles, with an emphasis on performance evaluation and optimization.
This learning path guides advanced undergraduate and graduate students through the principles of exergy analysis, from fundamental thermodynamic prerequisites to the evaluation of thermal, mechanical, and chemical exergy, exergy destruction, and exergy efficiency. It emphasizes the use of exergy as a measure of energy quality and provides a systematic framework for applying exergy analysis to real-world energy systems.
A systematic learning path for undergraduate engineering students to apply energy efficiency and conservation principles. It covers fundamental thermodynamics, efficiency metrics, energy audits, and efficiency strategies in buildings and industry, including demand-side management and economic analysis.
This learning path introduces undergraduate engineering students to the fundamental principles of transmitting and distributing electrical energy. It covers essential electrical engineering concepts, transformers, transmission lines, AC vs. DC systems, grid losses, and energy transport via pipelines. The path is designed for systematic learning, progressing from basic electrical principles to advanced grid and pipeline concepts.