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 223 / 780 页
This graduate-level path equips learners with the advanced electrochemical theory needed to understand and apply principles to renewable energy devices such as PEM fuel cells, SOFCs, and electrolyzers. It covers thermodynamics, kinetics, transport phenomena, and device-specific applications, emphasizing the Nernst equation, overpotential, and ion transport.
This advanced graduate-level path equips learners with the theoretical and computational foundations needed to model wind farm aerodynamics, focusing on atmospheric turbulence, wake interactions, and optimization via large eddy simulation. It builds from fluid mechanics and turbulence theory through numerical methods to practical wind farm modeling and optimization techniques.
This graduate-level path equips learners to apply and adapt solar radiation models for predicting direct, diffuse, and global irradiance. It builds from foundational atmospheric science and mathematics through clear-sky models, cloud effects, and anisotropic sky models, culminating in practical application and evaluation.
An advanced graduate-level learning path that builds from core microeconomic and renewable energy foundations to the specialized tools used to analyze renewable energy economics and policy. Learners will master LCOE, subsidy design, carbon pricing, feed-in tariffs, renewable portfolio standards, and the social cost of carbon, culminating in a capstone policy analysis project.
A comprehensive graduate-level learning path covering the science and engineering of advanced biofuels, from biomass chemistry through biochemical and thermochemical conversion to biorefinery integration. Learners will analyze first-, second-, and third-generation biofuel technologies, with emphasis on lignocellulosic ethanol, algal biofuels, and sustainable biorefinery concepts.
This learning path guides graduate students and researchers through the essential concepts and methods for applying optimization to hydropower systems. It starts with foundational knowledge in water resources and optimization, progresses through deterministic and stochastic optimization techniques, and culminates in advanced topics such as multi-objective optimization, environmental constraints, and flood management. The path emphasizes practical application through case studies and modeling tools.
This advanced graduate-level path equips learners with the theoretical and practical knowledge to apply aerodynamic principles to wind turbine design. It covers the full chain from fluid dynamics fundamentals through blade element momentum theory, wake models, control strategies, and rotor design, culminating in a capstone design project.
This path provides a systematic, graduate-level exploration of advanced photovoltaic materials and device architectures, covering fundamental semiconductor physics, advanced materials, and cutting-edge device designs. It builds from foundational concepts to specialized topics such as tandem cells, quantum dots, organic photovoltaics, and perovskite solar cells, with a focus on the underlying materials science and engineering principles.
A systematic learning path for undergraduate engineering students covering microgrid architecture, islanding, control, protection, economic dispatch, and applications in remote areas. It builds from fundamental power systems concepts to advanced microgrid design and operation.
This learning path guides undergraduate engineering students through the systematic design of hybrid renewable energy systems, covering solar, wind, and diesel technologies, system sizing, optimization, reliability, and control strategies. It progresses from foundational knowledge to advanced design and analysis, culminating in a capstone project that integrates all concepts.