Wind Power Production Forecasting
SEDAM IT Ltd. ·Croatia
About this project
<p><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif"><span style="font-size: 12pt"><span style="font-family: "Verdana", sans-serif"><span style="color: #000000">Sedam IT is a leading provider of ICT solutions and services on Croatian market, with headquarters in Zagreb. Their main areas of work include:<br> 1. Development, implementation and servicing proprietary software solutions,<br> 2. ICT infrastructure solutions and services.</span></span></span></span></span></p> <p><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif"><span style="font-size: 12pt"><span style="font-family: "Verdana", sans-serif"><span style="color: #000000">This project aims to develop a wind power production forecasting solution (based on the static and dynamic inputs), which will be adjusted for the specific wind conditions along the Dinara mountain range and custom tailored to the characteristics of regional wind power plants. The solution will use historic and near real time data from wind power plants, and weather forecast data from Croatian Meteorological and Hydrological Service and/or other forecast data (e.g. weather research and forecast model from US National Center for Atmospheric Research and University Corporation for Atmospheric Research). Prediction will be presented through the visualization module.<br> <br> Using advanced machine learning tools and the in-depth knowledge of the project partners Sedam IT and Energy Institute Hrvoje Požar, the solution will decrease the root-mean-square deviation (forecast error) of the production forecast, leading to a lower balancing energy cost. </span></span></span></span></span></p> <p><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif"><span style="font-size: 12pt"><span style="font-family: "Verdana", sans-serif"><span style="color: #000000">Solution has confirmed its functionality in lab conditions and this project is aiming at finishing its development and bringing it to the market.</span></span></span></span></span><br> </p> <p><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif"><span style="font-size: 12pt"><span style="font-family: "Verdana", sans-serif"><span style="color: #000000">Reduction of forecasting errors increases the necessary system capacity for balancing, thereby allowing a larger share of intermittent power plants (wind and solar) in the energy mix. Furthermore, lower costs of balancing for wind farms is also additional motive to invest capital into wind farms. With lower operating costs of wind power plants when compared to fossil fuel power plants, the share of fossil fuel power plants in the energy mix gets reduced, thereby contributing to less CO2 emissions from fossil fuel power plants.</span></span></span></span></span></p>
Project partners
- Energy Institute Hrvoje Pozar Project partner· Croatia