Vaisala Historian for renewable energy
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Product Spotlight www.vaisala.com Vaisala Historian for renewable energy High-quality historical data for informed decisions for renewable energy projects Key benefits Trusted, tested data 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 ranging from project developers and operators, the financial community — and renewable energy consultants. Accurate predicator of project success High-quality historical data yields an accurate baseline useful for predicting project success. Capturing the most value from investments in wind and solar energy projects depends not only on reliable information about the site’s current and future conditions, it also depends on a thorough understanding of the location’s past weather patterns and trends. Vaisala Historian for renewable energy offers asset owners, developers, and project managers access to long-term historical wind and solar data in a variety of forms to drive decisions, create valuable comparisons reports, and analyze output year over year. Vaisala Historian for renewable energy consists of a suite of tools that draw upon Vaisala’s commitment to superior data quality to drive decisions and streamline operations for renewable energy projects. Designed to meet a wide range of needs and use cases, Historian solutions include Time Series Tools and GIS data for wind and solar, solar Climate Variable Analysis (CVA), and solar Performance Reconciliation. Each of these tools delivers valuable historical data to renewable energy asset owners, operators, and managers to maximize output, minimize risk, and make better business decisions. Quickly identify and fix problems Basing initial projections and ongoing comparisons on decades worth of data, instead of just weeks or months, enables earlier detection and analysis of underperformance and other problems for faster resolution. Easy to integrate The data is delivered in data files that are easy to access and integrate, via FTP

Time Series Tools for wind and solar A subscription-based service providing access to high-quality wind and solar datasets Applications • Minimize investment risk and improve energy output estimates for exact locations. Subscription service allows users to compare up to five different models for any site through a dashboard that enables side-by-side analysis of long-term trends. • Increase understanding of trends and maximize profit margins. • Decrease dramatic shifts in project value and year-over-year variations. Multiple datasets offer users the ability to perform resource risk...

GIS data for wind and solar (“Maps”) Map visualization of wind and solar GIS data Applications • Reliable historical GIS data to guide operation, management, and maintenance of solar and wind energy assets. Available as 3km monthly or annual irradiance spatial data (GHI, DNI, or DIF) and 5km monthly or annual average wind speed data (10, 20, 50, 80, 140-meter hub height). • Selection of optimal asset placement for maximal output. Additional available datasets include wind rise, power density, power capacity, Weibull distributions, and temperatures. Solar Climate Variable Analysis (CVA)...

Solar Performance Reconciliation Updated solar irradiance and weather time series data at a single location or across your entire portfolio Applications • Ensures existing projects are operating at optimal levels and enables diversification of portfolio assets. Based on actual quarter- or half-hour high-resolution satellite imagery observations processed to hourly GHI, DNI, and DIF values. • Streamlines pipeline management for proposed sites. Algorithms contain parameters and coefficients based on empirical fits to observational data. Time series data is based on regularly updated global...