Data Platform Enabling Wave Energy Converter Performance and Sensor Optimization: Wave Energy Converters Impact Wave Data and What to do about it?
Award amount
$199,999Program and phase
SBIR · Phase IAward year
2023Award details
- Awarding agency
- Department of Energy
- Branch
- Not reported
- Recipient company
- OCEAN MOTION TECHNOLOGIES INC
- Proposal award date
- 2023-07-10
- Contract end date
- 2024-04-09
- UEI
- FCRSDH7CFUT1
- Solicitation number
- DE-FOA-0002903
- Topic code
- C56-14a
Research abstract
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.
- SBIR Phase II: Utilizing Reinforcement Learning to Optimize Ocean Wave Energy Capture
- Data Platform Enabling Wave Energy Converter Performance and Sensor Optimization: Wave Energy Converters Impact Wave Data and What to do about it?
- Leveraging Co-Development for the Energy Capture Subsystem of a Small-Scale Adaptive Wave Energy Converter
- Impactful Implementation of Next-Generation Ocean Data Infrastructure through Scalable Community and Stakeholder Engagement Programs
- SBIR Phase I:Utilizing Reinforcement Learning to Optimize Ocean Wave Energy Capture
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Remote Lidar Methane Sensor
- Developing a Novel AI/ML Approach for High-efficiency, High-fidelity Marine Wave Energy Characterization and Assessment for Powering the Blue Economy (PBE)
- Remote Lidar Methane Sensor (RELMS)
- Sea Surface Shape: Topological Feature Assimilation for Marine Energy Resource Assessment
Research funding history
9 SBIR/STTR records share this UEI (2020–2024). Reported award amounts total $6,405,488. Reported amounts are not federal obligations.
Phases: Phase II, Phase I
Agencies: Department of Energy, National Science Foundation