software

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Rooftop solar panels get boost from Sandia tool that previews a year on grid in minutes

By Kristen Meub | Photo by Randy Montoya Homeowners and businesses may now have an easier time getting solar panels on rooftops thanks to software developed at Sandia. The new software can run a detailed, second-by-second simulation, known as quasi-static time series analysis, that shows utility companies how rooftop solar panels at a specific house [...]

By | 2019-07-03T14:56:56+00:00 July 3rd, 2019|Energy, News, News & Events, Partnership, Renewable Energy, Solar|Comments Off on Rooftop solar panels get boost from Sandia tool that previews a year on grid in minutes

Sandia Releases QuESt v1.2

The latest version of QuESt, Sandia's open source software for energy storage valuation, has been released. QuESt v1.2 features the debut of QuESt BTM, an application aimed at providing analysis tools for behind-the-meter energy storage. The first of these tools estimates the cost savings provided by energy storage for time-of-use and net energy metering customers. [...]

By | 2019-04-23T16:58:30+00:00 April 23rd, 2019|Energy Storage, Energy Storage Systems, News, News & Events|Comments Off on Sandia Releases QuESt v1.2

Initial Release of QuESt: Optimizing Energy Storage

QuESt, a Python-based, open source energy storage software suite, has been released by the Sandia energy storage software tool team that developed it. QuEST is an open source, Python-based software application suite for energy storage simulation and analysis. It is designed to give users access to models and analysis for energy storage used and developed [...]

By | 2018-10-15T19:01:40+00:00 October 15th, 2018|Energy, Energy Storage, Energy Storage Systems, News|Comments Off on Initial Release of QuESt: Optimizing Energy Storage

Open Source Software for Sensor Placement Optimization Available for Download

CHAMA, the Sandia-developed Python package which can optimize sensor placement, is now available for download. Continuous or regularly scheduled monitoring can quickly identify changes in the environment. However, even with low-cost sensors, only a limited number of sensors can be deployed. The physical placement of deployed sensors, sensor technology, and operating conditions, can significantly impact [...]

By | 2018-10-01T15:34:30+00:00 March 21st, 2018|News, Research & Capabilities|Comments Off on Open Source Software for Sensor Placement Optimization Available for Download