SBIR/STTR Research Award

Prognostic and Health Management Technology for MHK Devices MHKPHM)

Award identifier a73e6bfd20981efd1b556415e2909c6cf058f325dd4ca3c552c6822ff9cd9684Awarding agency Department of Energy

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2015

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
FRONTIER TECHNOLOGY INC
Proposal award date
2015-06-08
Contract end date
2016-03-07
UEI
P7SFAJZ6M9J6
Solicitation number
DE-FOA-0001227
Topic code
18b

Research abstract

The Department of Energy estimates the maximum theoretical electric generation produced from waves, tidal and riverine currents and ocean thermal energy gradients in US waters to be approximately 2,116 terawatt hours per year - more than half the nations total annual electricity usage. Commercial-scale marine hydrokinetic energy MHK) converters that can provide this energy are large, highly dynamic devices operating in a harsh marine environment. Reliable and predictable MHK converters will increase the US use of renewable energy sources in the near future on a predictable cost basis. However, ensuring reliable operation and servicing these devices at sea is a difficult and costly operation. The application of Prognostic and Health Management PHM) technology to MHK devices minimizes unplanned failures and optimizes maintenance resulting in improved reliability and availability and reduced maintenance costs and levelized cost of energy. Frontier Technology, Inc. FTI) will develop and demonstrate an innovative monitoring and predictive analytics capability for MHK devices MHKPHM) that can monitor devices in real-time, on the device itself or at a central management facility, detect indicators of degradation and future failure, diagnose the underlying cause of potential failures, predict time to failure, determine corrective actions, and report status. MHKPHM technology relies only on data currently available and requires no changes in equipment, sensors or data sources. It applies advanced statistical methodologies to create models of a system in a nominal state. Actual data is compared to model predictions to detect variances that, while small, are statistically significant departures from normal and foreshadow potential failures. A metric -- the Probability of Abnormality -- indicates if the system is operating normally or is in an unexpected, degrading or failed state. Pattern matching technology isolates the underlying cause of failure with a low probability of false alarm. MHKPHM then associates corrective actions with the identified fault. The projected time to failure and confidence level is determined based on the failure modes, history and past performance characteristics. Reporting functions that inform the operations team of status and future performance characteristics. MHKPHM also has the ability to cause command sequences at the MHK device to mitigate the effects of abnormal or degrading conditions. MHKPHM proof of concept will be demonstrated at the completion of Phase I and a prototype capable of transition to operations will be available at the completion of Phase II. The software resulting from this project can be licensed to government and commercial enterprises for incorporation into or external monitoring of real-time energy converter systems using renewable sources including water and wind. Targets for commercialization include developers, manufacturers, operators and maintainers of MHK energy converters as well as any energy generation equipment that operates in a dynamic environment and is difficult to service and where consistent operation is critical to reliable energy production. The broad application of PHM technology which accurately predicts the source and corrective action for future equipment failures optimizes their operation and maintenance, increases availability, and ensures a continuous source of energy.

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

158 SBIR/STTR records share this UEI (1986–2022). Reported award amounts total $52,237,604. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Commerce, Department of Energy

Contractor profile

FRONTIER TECHNOLOGY INC

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

Agency intelligence

Department of Energy

NAICS intelligence

This classification comes from the contractor profile, not from the SBIR award record.

Contractor industry classification NAICS 541512

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