SBIR/STTR Research Award

pCloud: A Cloud-Based Power Market Simulation Environment

Award identifier edb3e3ef2903635d9da0aef28d645bf1f4e98ec5a769751d7cf247903153fea7Awarding agency Department of Energy

Award amount

$147,346

Program and phase

SBIR · Phase I

Award year

2012

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
Newton Energy Group LLC
Proposal award date
2012-02-20
Contract end date
2012-11-19
UEI
WLL5ZHP4JVU9
Solicitation number
DE-FOA-0000577
Topic code
02 a

Research abstract

In the electric power industry, power market simulators are widely used by market participants, power system planners, project developers, investors and consulting companies. These simulators are complex, highly CPU intensive, expensive to use and are limited to companies that can afford to pay high licensing fees, support hardware infrastructure and maintain dedicated professional staff. Use of cloud computing will drastically reduce the cost and increase computational performance of these simulators which will benefit the power industry and general public. We propose to develop pCloud, a power market simulation environment organized around the Software as a Service (SaaS) concept. pCloud will provide clients with standardized access to power market solvers offered by third parties and support data structures and post processing tools organized in one of the commercially available cloud environments. Taking advantage of the computational power available on the cloud, users will enjoy computational performance of up to three orders of magnitude above what is presently available with existing simulators. Commercial Applications and Other Benefits: Development of pCloud will create significant technical, economic and social benefits to the power industry, to all industry stakeholders and to the general public as everyone consumes electricity. pCloud users will be able to improve system design, investment, trading and policy decisions over time horizons ranging from hours to years. They will be able to thoroughly model uncertainty and operational characteristics of variable generating resources (represented by wind and solar), real-time price responsive behavior of consumers, fuel-price volatility, planned and forced outages of generation and transmission facilities, addition and retirement of new generation units, and implications of future environmental policies. The service will be charged on a per processor hour basis making it affordable to a wide range of users while development and maintenance costs will be recovered through increased utilization. Use of pCloud will lead to a more transparent power industry and more precise decision supporting tools will lead to more liquid and efficient electricity markets.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2012–2015). Reported award amounts total $297,346. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Energy

Agency intelligence

Department of Energy

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