Path Catalog
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Path Catalog
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共 7800 条 Path · 第 218 / 780 页
This advanced graduate path develops the detailed balance formalism for calculating radiative efficiency limits in solar cells. It begins with essential semiconductor and photovoltaic concepts, then derives the Shockley-Queisser limit, and extends to multi-junction and hot-carrier upper bounds. The path emphasizes rigorous physical reasoning and mathematical derivation.
A graduate-level learning path that builds from foundational semiconductor physics through advanced device theory to the analysis of solar cells, including recombination statistics, surface recombination, and degradation mechanisms. Learners will develop a systematic understanding of how semiconductor device theory explains solar cell operation and failure.
This graduate-level learning path equips learners with the knowledge and skills to model and simulate concentrating solar power (CSP) systems. It covers solar field modeling, power block simulation, thermal energy storage, off-design performance, and annual yield prediction, with a strong foundation in advanced thermodynamics and heat transfer.
This learning path equips graduate students and researchers with the knowledge to apply advanced characterization techniques to solar cells. It covers the physics of solar cells, key measurement methods including IV, spectral response, impedance spectroscopy, and imaging, and emphasizes data interpretation and cross-technique correlation.
This learning path provides a systematic, graduate-level understanding of organic photovoltaics (OPVs) and dye-sensitized solar cells (DSSCs). It covers the underlying chemistry and physics, from semiconductor fundamentals and charge transfer to device architecture and performance analysis. The path emphasizes the critical roles of conducting polymers, fullerenes, dyes, TiO2 photoanodes, and redox electrolytes.
A systematic graduate-level path covering the fundamental science and technology of perovskite solar cells, from crystal structure and synthesis to device physics, stability, and scaling. Learners will build a strong foundation in semiconductor physics and materials science before diving into advanced topics.
This graduate-level learning path explores advanced solar cell concepts that push beyond the Shockley-Queisser limit. It covers multi-junction, hot carrier, quantum well, intermediate band, and up/down conversion technologies, grounded in advanced semiconductor physics. The path is designed for systematic learning, ensuring a solid foundation in semiconductor physics before diving into cutting-edge device concepts.
This learning path guides undergraduate engineering students through the economic principles and financial metrics essential for analyzing solar energy projects. It covers foundational finance concepts, solar resource assessment, cost structures, incentive mechanisms, and financial modeling, culminating in a comprehensive project evaluation.
A systematic learning path for undergraduate engineering students to analyze solar resource variability and apply forecasting methods. It covers solar irradiance fundamentals, variability sources, statistical and NWP forecasting techniques, and practical model evaluation, building from basic concepts to applied forecasting.
This learning path guides undergraduate engineering students through the fundamentals of photovoltaic system design, from solar resource assessment to component selection and performance modeling. It covers both grid-connected and off-grid systems, emphasizing load analysis, sizing, and system optimization.