2014 PV Performance Modeling Workshop: SolarAnywhere: WebWeb-Accessible Irradiance Measurement Software: Skip Dise, Clean Power Research
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The document outlines features of the solaranywhere® software that provides web-accessible solar irradiance data and analytical tools, including access to the latest Perez models and independent measurements. It emphasizes a reliable and scalable SaaS application with no IT involvement required and integration via a standards-based API. Additionally, the document includes contact information for the product manager and other team members at Clean Power Research.
2014 PV Performance Modeling Workshop: SolarAnywhere: WebWeb-Accessible Irradiance Measurement Software: Skip Dise, Clean Power Research
- 1. SolarAnywhere® Web-Accessible Irradiance Measurement Software Skip Dise Product Manager, SolarAnywhere May 13, 2014
- 2. Outline Product Features • Access to the latest Perez models • Widely vetted • Independently measured • Compatible and seamless software, by design SolarAnywhere product demo • SolarAnywhere on the web • SolarAnywhere API integrated downloads
- 3. SolarAnywhere Irradiance data Historical satellite-derived time-series data from 1998 through latest hour Forecasts up to 7-days in advance by combining cloud motion vector and NWP approaches Web-accessible solar irradiance data & analytical tools
- 5. Exclusive access to the latest Perez model
- 6. Most widely vetted data set in North America
- 7. Independent Measurements No uncertainty due to regional ground station data
- 8. Built & Maintained by Clean Power Research Hosted software-as-a-service (SaaS) application No IT involvement required Reliable, secure access Fast set-up Highly scalable Highly available Integration via standards- based API
- 9. Product Demo
- 11. Pick a location and resolution
- 12. Zoom into the map
- 13. Select your tile, date range and model version
- 14. Pick data sets, format and download method
- 15. SolarAnywhere API Use – for quick, multiple tile access Documentation and code support for common platforms: MS Excel, Python, Matlab
- 16. Copyright © 2011 Clean Power Research, L.L.C. The information herein is for informational purposes only and represents the current view of Clean Power Research, L.L.C. as of the date of this presentation. Because Clean Power Research must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Clean Power Research, and Clean Power Research cannot guarantee the accuracy of any information provided after the date of this presentation. CLEAN POWER RESEARCH, L.L.C. MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION. Thank You Skip Dise Product Manager Clean Power Research skipdise@cleanpower.com +1425-242-4174 x7007 Mark McKahan-Jones Senior Account Manager Clean Power Research mmj@cleanpower.com +1425-242-4174 x7027 Adam Kankiewicz Solar Research Specialist Clean Power Research adamk@cleanpower.com +1425-242-4174 x7014