Showing 1 - 20 results of 20 for search '"National Renewable Energy Laboratory"', query time: 0.06s Refine Results
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    Mooring Line Damping Estimation for a Floating Wind Turbine by Dongsheng Qiao, Jinping Ou

    Published 2014-01-01
    “…This study investigates the estimation of mooring line damping on the basis of the National Renewable Energy Laboratory 5 MW offshore wind turbine model that is mounted on the ITI Energy barge. …”
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    Article
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    Active Fault-Tolerant Control for Wind Turbine with Simultaneous Actuator and Sensor Faults by Lei Wang, Ming Cai, Hu Zhang, Fuad Alsaadi, Liu Chen

    Published 2017-01-01
    “…The effectiveness of the design strategy is verified by implementing the controller in the National Renewable Energy Laboratory’s 5-MW nonlinear, high-fidelity wind turbine model (FAST) and simulating it in MATLAB/Simulink.…”
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    Solar parking lot capacity: an abundant dual-use alternative to meet demand for the renewable energy transition by Scott Markwith

    Published 2025-01-01
    “…Parking lot area and potential generating capacity was calculated for canopy and carport designs using standard and premium efficiency panels, and annual electricity production was estimated using the National Renewable Energy Laboratory’s PVWatts Calculator. Premium efficiency canopy designs can meet ∼100% of demand in some large car dependent low to medium density municipalities. …”
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    A Solar Photovoltaic Performance and Financial Modeling Solution for Grid-Connected Homes in Zambia by Katundu Imasiku

    Published 2021-01-01
    “…This study conducts a solar photovoltaic performance and financial analysis for grid-connected homes in Zambia to investigate the role of solar energy as an enabler for energy security in Zambia using the National Renewable Energy Laboratory (NREL) System Advisor Model (SAM) simulation method. …”
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    Forecasting US data center CO2 emissions using AI models: emissions reduction strategies and policy recommendations by Rohan Jha, Rishabh Jha, Mazhar Islam

    Published 2025-01-01
    “…To estimate CO2 emissions, we applied three forecasted power demands for data centers and applied 56 NREL (National Renewable Energy Laboratory) power mixes and policy scenario cases using 11 AI models. …”
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