SBIR/STTR Research Award

A Commercial-Grade, Scalable Support and Training Services Platform

Award identifier 7bae249bc71f34e1c2e3c441ef5413410cc4c11d2d06b83261167fcd3ea1e659Awarding agency Department of Energy

Award amount

$149,554

Program and phase

SBIR · Phase I

Award year

2014

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
BIG LADDER SOFTWARE LLC
Proposal award date
2014-06-09
Contract end date
2015-03-08
UEI
NGVFMQHYSXK8
Solicitation number
DE-FOA-0001046
Topic code
03c

Research abstract

The Department of Energy has funded the development of two industry-leading simulation enginesEnergyPlus and Radiancewhich are regarded in the US as the state of the art in modeling capabilities and accuracy. Despite being the most powerful engines in their respective areas, both are lagging behind in adoption compared to less capable tools. One significant factor limiting widespread adoption is a lack of high-quality, readily-available support and training services for both engines. The objective in Phase I is to research, develop, and pilot a prototype platform for providing commercial-grade, scalable support and training services for EnergyPlus and Radiance. The overall approach is to develop a platform composed of standardized systems and processes that leverage automation and web-based resources in order to deliver services at a low cost. Several support tasks will be researched and developed including a subscription-based support service, web-based documentation resources, and a question- and-answer web site. Several training tasks will be researched and developed including a new training workshop for EnergyPlus, a train-the-trainer program, and a web-based training resource. Commercial Applications and Other Benefits: The primary commercial application is to market for-pay services under a subscription model or pay-per-event model. Organizations will benefit from a decrease in the cost of modeling. The nation will benefit from increased uptake and adoption of accurate, powerful modeling engines that lead to identifying more opportunities for saving energy.

Technology keywords

Not reported

Awards with the same topic code

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Agency intelligence

Department of Energy

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