In one of Lloyd’s Register’s most recent wind energy efforts, second-year students in the Department of Computer Science at the University of Bristol will work to create and enhance wind speed analysis and data for trend comparisons through Lloyd’s Register’s “windiness dashboard.” Investors, developers, owners, and operators of present wind farms can use this tool to evaluate and forecast energy output at every project stage, from planning and construction through operation.
‘Windiness Dashboard’ to Improve Industry Wind Speed Prediction
Wind farm owners, investors, and developers are impacted by wind speed patterns. Users will be able to examine, evaluate, and forecast the effectiveness and energy output from a wind farm with the use of Lloyd’s Register’s “windiness dashboard.” In order to comprehend the siting issues for wind farm projects, the data given will aid in constructing year-over-year patterns. It will offer a trustworthy and high-quality index of wind data.
The University of Bristol and Lloyd’s Register effort offers the industry a distinctive platform to research trends in wind speed and wind farm production. It presents the possibility of advancements in wind energy production forecasting.
Wind speed unpredictability is still one of the most urgent problems facing wind farm operators and developers. This initiative will enhance awareness of the risks involved and foster better decision-making by facilitating access to the precise, understandable, and succinct information the industry expects. According to David Pullinger, Technical Lead of Energy Resource Services at Lloyd’s Register, the goal of this effort with the University of Bristol is to research, test, and provide industry with a distinctive platform.
It is a project that is generating interest in a sector that is thirsty for fresh, inventive goods and chances to bring in new talent for the wind industry.
The undertaking has begun and will go through April 2018. In May 2018, Lloyd’s Register and the University of Bristol will release the initiative’s results and preliminary conclusions. By joining the list at http://www.lr.org/en/wind/list-subscribe.aspx, you may get updates on the initiative’s progress.
The data we can offer through the “windiness dashboard” will be useful for a variety of future offshore and onshore wind farms thanks to our solutions-based approach to increasing predictability and dependability. We are eager to collaborate on this intriguing initiative with our partner, the University of Bristol, and its students, Pullinger said.