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Background, Interest,
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| | PCCI | Matthew Schubert | Chief Naval Architect |
Small Business
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System Validation and Risk Reduction
| Tidal Energy | PCCI has many years of project experience in the offshore wind design, development, and costing with both government and commercial arena. We currently have of have completed contracts with DOE, BSEE, and BOEM from initial design to decommissioning. |
| VA |
| | CrossLink Composites | Connie Jackson | CTO |
Small Business
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Market Barrier Removal
| Advanced Manufacturing | We apply our proprietary technology to make the world’s first and only high-performance low-cost carbon fiber, serving automotive, wind energy, civil infrastructure, marine, aerospace and transportation markets. We also pultrude composite products and produce oxidized PAN fiber (OPF). We don’t have standardized products but rather we work with large-volume customers to tailor products to their specific applications. Our revolutionary, patent-pending processes enable the lowest cost carbon fiber products available in today's market. Our technology also reduces by two thirds the carbon fiber manufacturing emission levels.
We frequently work with grant recipients to produce specific carbon fiber, OPF or composite products for their research projects. We have received multiple NSF SBIR and DoE grants ourselves and are familiar with federal grants and associated requirements.
Our founder and CTO Connie Jackson is an industry veteran with senior level experience running CF and pultrusion operations. Previously she ran operations for Oak Ridge National Laboratory’s Carbon Fiber Technology Facility. |
| TN |
| | Clemson University | Sez Atamturktur Russcher | Provost Distinguished Professor |
Academic
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System Validation and Risk Reduction
| Topic Area 5: Floating Offshore Wind Center of Excellence | Computer models of wind turbine drivetrains could expedite verification and validation (V&V) of new drivetrain designs. Confidence in the ability of a simulation model to make realistic predictions, however, must first be gained by (i) validating model predictions against a reference to reality, generally provided by a suite of assembly level test campaigns, and (ii) assessing and quantifying prediction uncertainty, whether it originates from experimental variability, parametric variability, or modeling uncertainty. For example, gearboxes, while meeting or exceeding IEC 61400-4 design criteria as specified in current standards by the gear, bearing, and wind turbine industries and by third-party certifications, do not always achieve their expected design life in the field. Validated computer models could be used for root causes analysis of premature failures. However, developing accurate models of the planetary section of wind turbine gearboxes is a nontrivial task where increased fidelity could lead to not only prohibitive modeling time but also increased parametric uncertainty. Further, for wind turbine design, the concepts of model validation must be extended to the notion of predictive assessment over a design domain, which requires conducting multiple physical experiments for configurations that span the expected range of operational conditions in the field. As performing multiple experiments can rapidly become cost prohibitive, design of experiment techniques are usually applied to select configurations that are the most informative for model calibration and validation for the purpose of the analysis. Similarly, when the numerical simulation is computationally demanding, prohibiting the execution of a large number of computational runs, computer experiments can be designed through statistical sampling techniques to reduce computational efforts. As the validation of computational models inherently involves multiple physical experiments and an even greater number of computational runs, statistical analysis techniques are widely adapted to analyze the measurements and simulations. |
| SC |
| | Fedsprout | Aalap Shah | President and CEO |
Small Business
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Market Barrier Removal
| Community Benefits, Project Planning, and Project Reporting | Fedsprout helps businesses and non-profits secure government funding and provide support during project execution. We help strategize, plan, and ensure successful projects when working with the federal government, especially when it comes to clean energy and other DOE initiatives.
Area of Technical Expertise: Community Benefits Planning for Proposals, Community Engagement, Implementation of Community Benefits Plans, Clean Energy Demonstration Planning. We are experts in community engagement, workforce development, DEIA, and Justice 40. We have technical experts that have been a part of many DOE proposal submissions and projects.
Brief Description of Capabilities: We help write, strategize, and implement community benefits plans for proposals and projects. We provide planning and strategy for successful government-funded projects. Our experts are familiar with federal regulations, budgeting, and compliance.
Area of Interest: Partnering for Community Benefits, Successful Demonstration Planning, Project Reporting, and other aspects from proposal preparation through project completion |
| NJ |
| | Bat Conservation International | Michael Whitby | Dir. Bats and Wind Energy |
Non-Profit
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System Validation and Risk Reduction
| Bats | Team experienced in finding scalable solutions that reduce wind energy impacts on bats. Experience in bat acoustics, thermal videography, offshore sampling, fatality monitoring, research design, etc. |
| TX |
| | American Bureau of Shipping (ABS) | Domenic Carlucci | Vice President |
Non-Profit
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System Validation and Risk Reduction
| Cross Cutting | The American Bureau of Shipping (ABS) is the not-for-profit marine classification, standards/certification, and research organization based in the U.S. ABS provides advanced analytical and technical advisory support as well as classification/certification support for maritime/offshore industry related to offshore, wind and marine energy applications. ABS also provides New Technology Qualification and Approval-in-Principle reviews/approvals of new/novel technology. ABS is pleased to partner with any organization working on maritime applications. |
| TX |
| | Rutgers University | Onur | Associate Professor |
Academic
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Advanced Turbine Components
| Topics: 1, 3, 5 | Modeling and Design Optimization of Offshore Wind Turbines, Adaptive Rotor Systems: I specialize in system-level modeling, system identification (theoretical and experimental) and design optimization of multi-physics systems. Applications include floating offshore wind turbines, shape-adaptive smart rotor systems for wind turbines and multi-rotor drones, morphing aircraft, piezoelectric material actuators, sensors and energy harvesters. |
| NJ |
| | Georgia Southern University | Hossein Taheri | Assistant Professor and Director of LANDTIE Lab |
Academic
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Advanced Turbine Components
| | The Laboratory for Advanced NonDestructive Testing, In-situ monitoring and Evaluation (LANDTIE) is a research lab in Department of Manufacturing Engineering at Georgia Southern University in Statesboro, GA. The lab was founded in 2018 with a focus on research projects on Nondestructive Testing and Evaluation, In-line monitoring, and Metrology for Advanced Manufacturing and Materials. |
| GA |
| | Thornton Tomasetti | Emily Kunkel | Vice President – Applied Science |
Large Business
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System Validation and Risk Reduction
| | "Thornton Tomasetti has worked on many projects across the US and UK in the wind energy sector.
• Thornton Tomasetti, in partnership with the National Renewable Energy Laboratory (NREL) and the University of Maine, evaluated the use of the FAST code for the simulation of a 1/50th scale model of the NREL reference turbine supported on a tension leg platform (TLP). The project identified potential improvements in FAST for application to floating wind turbine systems.
• For EO.N, issues arose at Robin Rigg , Scotland’s first offshore wind farm, with the transition pieces grouted connections failing. To support the investigation and remedy for this issue we conducted finite element analysis in order to establish how different connection failure modes will affect the overall dynamic response of monopile turbines to identify possible continuous monitoring schemes that could be employed for the purposes of integrity assurance. This included analysis of sea bed scour and resulting impact on the stability of the turbine structure.
• A study to evaluate and compare the API and IEC standards for offshore wind turbine support structures was carried out for NREL. The study evaluated the levels of structural reliability produced for common structures designed following the requirements of either standard. The results of this study were to provide all stakeholders with specific guidance for the design of offshore wind turbine support structures in U.S. waters.
• Completion of a concept development study aimed at assessing the state of the practice in offshore wind systems, and developing new support structures to expand their range of applicability, given deeper water and harsher environmental conditions (Confidential client).
• Offshore farm foundation assessment for GE Wind Energy.
• Assessing new technologies and requirements for building larger wind systems in deeper water locations and at greater distances from shore (working with NREL).
• Development of software (WEP-View) for the US Bureau of Ocean Energy Management (BOEM) – a tool to determine the electricity and revenue generation potential for offshore wind farms.
• We developed a tool for the UK Health & Safety Executive enable risk assessments to be undertaken for onshore wind farms. This software has been used for clients to understand the risk (e.g., blade failure, ice throw etc.) when wind farms are located in close proximity to occupied buildings, power lines and pipelines." |
| IL |