An open source software tool to help developers and other stakeholders in the US to analyse the viability of their energy storage system projects has been released by Sandia National Laboratories.
Sandia this week launched QuESt v1.2, which it describes as “open source software for energy storage valuation”, based on the computer programming language Python – which as one expert told Energy-Storage.news – as a quick and versatile system for writing code.
The main software suite performs energy storage system modelling and analysis. In a recent article for PV Tech Power, reproduced as a Guest Blog for this site, commercial provider Pason Power wrote about the growing importance of economic modelling to ensure the solidity of the business case for energy storage projects.
In the latest release, Sandia has emphasised the growth in interest in behind-the-meter (BTM), customer-sited energy storage systems. The new application suite includes QuESt BTM, a brand new modelling app that specifically helps stakeholders analyse BTM systems – before they begin deployment.
Try Premium for just $1
- Full premium access for the first month at only $1
- Converts to an annual rate after 30 days unless cancelled
- Cancel anytime during the trial period
Premium Benefits
- Expert industry analysis and interviews
- Digital access to PV Tech Power journal
- Exclusive event discounts
Or get the full Premium subscription right away
Or continue reading this article for free
Raking across data from the US’ different utility markets and their rate structures, QuESt BTM allows users to estimate cost savings from their storage systems, which can vary hugely across the different regulated markets in the States. Time-of-use utility rates and net metering policies can impact the overall economic case for energy storage. The software assesses the economics of shifting the load to times of lower demand across the network or peak shaving, using storage.
Using simulated load profiles for a range of commercial and residential buildings across the US, the software “leverages a database of US utility rate structures to allow users to select the rate structure most pertinent to his or her project,” Sandia said in a press release.
Given the growth in solar-plus-storage in recent times, QuESt BTM is also designed to analyse and compare simulated solar energy production profiles when co-located or combined with energy storage facilities.
The software application suite also looks to help developers and others to ‘size’ their projects correctly. As mentioned in Pason Power’s recent article, sizing of energy storage systems can have a big impact on the overall economics, due to the relatively high Capex involved in deploying them.
“A grossly oversized storage system will do the job but never pay off or meet the internal rate of return (IRR) requirement. An undersized storage system will not do the job and suffer a similar economic fate,” Pason Power CEO Enrico Ladendorf wrote in that article, ‘The smarts behind the storage’.
