Patrick Keelin | Sep 18, 2018
Until now, SolarAnywhere® has offered two types of data: time-series and typical year (TGY). Today we’ve added a third option, probability of exceedance, or PXX for short. The “XX” refers to the probability that the level of irradiance will be exceeded in a given...
Morgan Putnam | Apr 13, 2017
On March 30, 2017, the Minnesota Department of Commerce along with its core team, kicked off its Department of Energy-funded MN Solar Pathways project aimed at finding the least-risk, best-value solutions for MN to achieve its solar energy goals. Clean Power Research...
Morgan Putnam | Feb 20, 2014
In Part 1 in our series on the solar value proposition, we looked at a new approach to valuing PV. With this new approach, there is a need to quantify deferred and avoided generation, as well as transmission and distribution capacity increases through peak-load...
Mark Liffmann | Jan 23, 2014
Financing has been with solar since its earliest days. Before the lease and the power purchase agreement (PPA), residential solar customers would often purchase systems with cash. Cash payments are a form of financing, as the customer is choosing to purchase a solar...
Brian Boler | Dec 5, 2013
In keeping with our mission of powering intelligent energy decisions, Clean Power Research is introducing a 10 km Typical Meteorological Year (TMY) dataset for use in Clean Power Research API services. Programmatic access to this high-resolution dataset and the...
Jeff Ressler | Sep 6, 2012
SPI is next week in Orlando! Six of us will be there from our Kirkland, WA and Napa, CA offices. If you’re attending, please stop by Clean Power Research at booth #4058, right next to the “Energy Networking Station” in Hall B. Areas of emphasis for Clean...