Essays about: "SCADA-data"
Showing result 1 - 5 of 15 essays containing the word SCADA-data.
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1. Improvement of Wind Power Forecasting and Prediction of Production Losses Caused by Ice Formation on Wind Turbine Blades : - A Machine Learning Approach
University essay from Umeå universitet/Institutionen för fysikAbstract : In the ongoing climate crisis, transitioning to renewable energy sources is essential to manage the increasing energy demand. One such renewable energy source is the weather-dependent energy source, wind power. Many wind farms are located in Cold Climate (CC) regions, known for their vast potential for wind power production. READ MORE
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2. Optimization of Grid Connection Capacity for Onshore Wind Farms
University essay from Uppsala universitet/ElektricitetsläraAbstract : This thesis investigates if the profitability of a wind farm can be increased by reducing itscontracted grid capacity. Two years of SCADA data is cleaned from non- and partialperformance which is used to estimate a wake reduced annual power time series. READ MORE
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3. QUANTIFYING ERRORS IN PITCH ANGLE POSITION USING BEM THEORY
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : The wind industry is always seeking ways to better understand the performance of a wind turbine and improve its efficiency. During the operation phase and maintenance, wind turbines go through regular optimization. Due to the regular change in wind speed and direction, wind turbines need to be regulated and positioned accordingly. READ MORE
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4. Determining and analysing production losses due to ice on wind turbines using SCADA data
University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikAbstract : Wind turbines are becoming a more common sight and a more important part in the power grid. The benefits are mainly that wind energy is a renewable energy source and a single wind turbine can produce enough electricity to cover several households’ annual electricity need and not producing carbon dioxide as a rest product. READ MORE
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5. PREDICTION OF WIND TURBINE BLADE FATIGUE LOADS USING FEED-FORWARD NEURAL NETWORKS
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : In recent years, machine learning applications have gained great attention in the wind power industry. Among these, artificial neural networks have been utilized to predict the fatigue loads of wind turbine components such as rotor blades. READ MORE
