Solar Performance Reconciliation


    Product Description

     Product Description

    Manage ​​a Portfolio of Solar Projects​​​​​​

    Solar Performance Reconciliation helps you manage your pipeline of proposed sites, diversify your portfolio of assets, and make sure existing projects are operating at optimum levels. Vaisala delivers an updated solar irradiance and weather time series at either a single project or across your entire portfolio of locations. Time series easily integrate into your own internal processes and are based on our updated global solar dataset, which includes nearly two decades of hourly solar values.​​​​​

    Optimize Operations

    Once a project is built, it is critical to monitor how it is performing compared to initial projections. Weather adjusted production information makes it possible to understand when over or underperformance is caused by environmental conditions, ongoing equipment issues, or a simple lack of maintenance. Recognizing and resolving underperformance issues as early as possible helps maximize energy production, optimize operations, and proactively restructure financial and capacity obligations.

    Manage Your Project Pipeline

    What if you had nearly two decades of data at all of your development sites? In the assessment phase, Solar Performance Reconciliation enables you to know earlier which sites are most promising and regularly evaluate and re-prioritize your entire portfolio of projects. Now you can justify investments and base vital decisions about capital deployment, equipment choices, and project priorities on scientifically derived data at near real-time.​​

    Technical Overview

     Technical Overview

    Product Features​

    Updated solar and weather data for the previous day, month, or year at all of your sites delivered on an ongoing basis for easy integration with your existing performance monitoring systems.

    Available variables include: GHI, DNI, DIF, temperature, wind speed, relative humidity, accumulated precipitation, and a flag for daily snow.

    Optional Features

    • Long-term time series from Vaisala’s archive for benchmarking a site
    • TMY data for added context
    • API delivery

    Delivery Method​

    Unless optional features are requested, solar resource information is delivered for each location via a data file in an easily integrated CSV file format either via FTP or API.


    Vaisala's 3TIER Services produced the first global solar irradiance map and time series dataset at roughly three times the resolution of previous U.S. solar datasets and at thirty times the resolution of global datasets available from NASA and continuously updated. Based on almost two decades of satellite imagery and cutting-edge technology, our uniform methodology is supported by a large scientific and research community.

    The dataset is based on actual, quarter- or half-hourly, high-resolution visible satellite imagery observations via the broadband visible wavelength channel at a 2 arc minute resolution. These data have been processed to hourly GHI, DNI, and DIF values. Vaisala processes the satellite images based on a combination of in-house research and algorithms published in peer-reviewed scientific literature. These algorithms contain parameters and coefficients that are based on empirical fits to observational data. Weather variables are gathered from the ECMWF forecasting grids available globally. ​​

    RegionsSatellitesTemporal Coverage
    Western HemisphereGOES 8 - 13January 1997 – last month
    South Asia & Middle EastMeteosat 5, Meteosat 7January 1999 – last month
    East Asia & OceaniaGMS 5, GOES 9, MTSAT 1-2December 1998 – last month
    Europe & AfricaMeteosat 7, Meteosat 9July 1998 – last month

    If you are unfamiliar with the technical terminology on this page, please visit our Glo​​ssary for more information.​