The product vision for the energy storage software update is to give Energy Toolbase users the ability to model, optimize, and propose the economics of any type of behind-the-meter energy storage project in both the residential and commercial market.
LOS ANGELES, Calif. (September 5, 2017) - Energy Toolbase, a software platform for modeling the economics of solar and energy storage projects, recently launched a major software update that revolutionizes the platforms energy storage modeling capabilities. The new release enables users to transparently quantify the dollar savings for any type of behind-the-meter (BTM) energy storage project. This empowers developers in both the residential and commercial market to identify the best storage use-cases, more efficiently focus their development resources, and close deals.
Energy Toolbases new release was designed to take an objective, third-party approach to quantifying the savings for different types of energy storage system providers. Below is a summary of the key project variables users can define in Energy Toolbases new release:
• Distributed Energy Resource (DER) combinations: modeling a standalone storage project, pairing storage with solar PV, or retrofitting storage onto a meter that already has PV.
• Storage system hardware: the electrical characteristics of the battery and inverter, such as kW power, kWh energy capacity, max depth of discharge, and charge/discharge efficiency.
• Software control strategies: the value stream(s) the software is targeting: "peak-demand shaving," "Time-of-use (TOU) arbitrage," or "self-consumption."
• Software controls restrictions: constraints on how the controls software operates, such as requiring the battery to charge from PV or preventing battery exports to the grid.
• Customer load profile: the amount of power a customer uses at different times throughout the day and year.
• Utility rate assumptions: demand charges, TOU price differentials, rate switch scenarios, and Net Energy Metering (NEM) 2.0 assumptions.
The BTM energy storage market is forecasted to scale up rapidly in the next few years. According to the "U.S. Energy Storage Monitor: Q1 2017" report published by GTM Research and the Energy Storage Association, the BTM segment will grow from 44 MWs of deployments in 2016 to 1,352 MWs of deployments in 2022. This market ramp-up is driving demand for trustworthy software applications for energy storage sales and savings analysis.
"Were seeing very strong demand from our user base for the ability to quantify and propose the economics of energy storage projects," said John Gurski, Energy Toolbase Founder and CEO. "The storage manufacturers and developers that were talking with want third-party savings analysis tools they can trust. Thats exactly what weve designed and built."
Since launching in 2014, Energy Toolbase has grown to become a leader in third-party savings analysis of distributed energy projects. More than one thousand distributed energy organizations across the United States now use the Energy Toolbase software-as-a-service (SaaS) platform to perform utility rate and avoided cost analyses for their solar and energy storage projects.
Energy Toolbase will be exhibiting at the Solar Power International (SPI) conference September 10 - 13 in Las Vegas, Nevada. Visit booth #608 to see a live demo of their new release. Interested parties can sign up for a 14-day free trial of the Energy Toolbase platform at www.energytoolbase.com.
About Energy Toolbase:
Energy Toolbase is a software platform that specializes in modeling and proposing the economics of solar and energy storage projects. Over one thousand distributed energy organizations nationwide use the SaaS platform to accurately, objectively, and transparently analyze their projects. Clients include leading residential and commercial installers, project developers, EPCs, ESCOs, financiers, policy organizations, and utility companies. To see a product demo or sign up for a free trial, visit www.energytoolbase.com. Follow Energy Toolbase on LinkedIn, Twitter, Facebook, and Vimeo.