Capture the most value from investments in renewable energy projects with superior historical wind and solar data.
Vaisala Historian for renewable energy offers project managers, asset owners, and developers critical information about historic wind and solar conditions for both specific sites and regions to maximize future output, minimize risk, and make better business decisions moving forward.
Based on almost two decades of satellite imagery, multiple decades of global weather data, and cutting-edge weather simulation technology, Vaisala’s data is not only supported by science but by hundreds of customers around the world.
Historian includes a full suite of tools that draw upon Vaisala’s commitment to superior data quality. The tools include Time Series Tools and GIS data for wind and solar, solar Climate Variable Analysis (CVA), and Solar Performance Reconciliation. Each tool delivers valuation historical data that meet a wide range of needs and use cases.
High-quality historical data yields an accurate baseline that is useful for predicting future project success. Year-over-year comparisons ensure that existing projects are operating at optimal levels.
Comparing decades worth of past data with current information allows project managers to quickly spot underperforming assets and quickly determine the cause of the problem for targeted troubleshooting.
Get the most out of renewable energy investments with superior wind and solar data from Vaisala’s Historian tools. Contact us to learn more.
Capturing the most value from investments in wind and solar energy projects with a thorough understanding of the location’s past weather patterns and trends.
Vaisala makes its resource maps broadly available to illustrate the potential of renewable energy around the globe. The maps are regularly published for a wide variety of media, academic, governmental, and commercial purposes.
Outline of standard practices followed to ensure accurate solar assessment, along with Vaisala's methodology to continually update our global solar dataset.
Case study presenting results of an independent validation exercise using data from solar observation stations in the U.S.