Teaming Partners

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Organization 
Investigator Name 
Organization Type 
Area of Expertise 
Background, Interest,
and Capabilities
 
Contact Information 
State 
 
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 HEWE Energy GroupDennis H. Chu Small Business Power Generation: Renewable HEWE Energy Group is working on its second prototype of a patent pending Vertical Axis Dual-Airfoils wind turbine. CFD and JavaFoil simulations have shown that our Dual-Airfoils concept can improve the efficiency of conventional wind turbine over 38%.
Website: N/A

Email: dennischu97@hotmail.com

Phone: 323-646-07680

Address: 2160 College View Dr., Monterey Park, CA, 91754, United States
CA
 Kinetic AnalyticsNeil Gupta Small Business Other Energy Technologies Kinetic Analytics designs, analyzes and manufactures carbon fiber composite structures for a variety of customers. Our composite shop creates parts using autoclave processing of prepregs, resin infusion of dry carbon laminates and heating press molding. We have experience on previous SBIR's around wind turbine blade manufacturing and large composite infusions. Our engineers work with our clients to determine requirements, develop component deigns and laminate schedules. We have a complete machine shop and experience with ablatives, metal matrix composites and a variety of high strength and high temp alloys. We have NASTRAN linear and nonlinear analysis capabilities as well as open Foam CFD software. We can take a concept through prototyping and production in a short time frame with very little overhead all enabled by our vertical integration of our facilities. Let us know how we can help.
Website: www.kineticanalytics.com

Email: Neil@kineticanalytics.com

Phone: 714-372-3838

Address: 12570 Industry St, Garden Grove, CA, 92841, United States
CA
 San Diego State University, Dynamic Systems and Control Lab.Dr. Peiman Naseradinmousavi Academic Building Efficiency Peiman Naseradinmousavi research focus is on nonlinear modeling, dynamic analysis, and optimization in all aspects of design, operation, and control of electro-magneto-mechanical-fluid systems. The systems include, but are not limited to, smart flow distribution networks, robots, and cyber-physical systems, with ATLANTIS-relevant experiences:

· He formulated an interconnected nonlinear mathematical model for a multi-agent network of actuated valves.

· Using powerful nonlinear dynamic analysis tools, form Lyapunov exponents to Melnikov theory, he could capture harmful responses of the network from transient chaos to hyperchaos yielding constraints for optimization efforts.

· Using a variety of global optimization schemes, from Simulated Annealing to Particle Swarm, he could optimize both the design and operation of the flow network subject to stability and geometrical constraints.

· He also implements deep learning (R-CNN) for electromechanical systems, including high-DOF robotic manipulators, to carry out autonomous obstacle-avoidance path planning through image processing and HSV-based approach; based on an NSF grant.

1. https://peimannm.sdsu.edu/cnd20182.pdf
2. https://peimannm.sdsu.edu/CND-16-1518_FP.pdf
3. https://peimannm.sdsu.edu/J_2016_3.pdf
4. https://peimannm.sdsu.edu/ASME_2016_J_2.pdf
5. https://peimannm.sdsu.edu/J_ASME_2016_1.pdf
Website: https://peimannm.sdsu.edu/

Email: pnaseradinmousavi@sdsu.edu

Phone: 4848040384

Address: Dept. of Mechanical Engineering, E-323C, San Diego, CA, 92182-1323, United States
CA
 UC San DiegoProfessor Miroslav Krstic Academic Power Generation: Renewable Miroslav Krstic is an expert in adaptive and nonlinear control, with ATLANTIS-relevant experiences in (1) a 6-year ONR contract on heave and other motion controls for air-cushioned vehicles in high sea states and (2) MPPT for wind turbines using extremum seeking, as exemplified by the following DOWNLOADABLE publications:

- H. Basturk and M. Krstic, “Adaptive wave cancellation by acceleration feedback for ramp-connected air cushion-actuated surface effect ships,” Automatica, vol. 49, pp. 2591-2602, 2013. (http://flyingv.ucsd.edu/papers/PDF/175.pdf)

- A. Ghaffari, M. Krstic, and S. Seshagiri, “Power optimization and control in wind energy conversion systems using extremum seeking,” IEEE Transactions on Control Systems Technology, vol. 22, pp. 1684-1695, 2014. (http://flyingv.ucsd.edu/papers/PDF/198.pdf)
Website: http://flyingv.ucsd.edu/

Email: krstic@ucsd.edu

Phone: (858) 534-5670

Address: Department of Mechanical & Aero. Eng. University of California, San Diego, La Jolla, CA, 92093-041, United States
CA
 University of Texas at ArlingtonKamesh Subbarao Academic Other Energy Technologies The main objective of the Aerospace Systems Laboratory (ASL) is to conduct research in modeling, simulation, control and estimation of mechanical and aerospace systems from a systems perspective. Over the past few years, we have looked at diverse mechanical and aerospace systems. Our theoretical contributions, numerical simulations, algorithms and software span several applications:

Flight dynamics and control; unmanned vehicle systems; morphing wing aircraft structures; air traffic management; reduced order modeling of fluid-structure interactions; cooperative control of large scale interconnected systems subject to communication delays; multi-sensor fusion applied to aircraft guidance and spacecraft navigation; bipedal locomotion; and uncertainty characterization in orbital mechanics.

Of specific relevance to this program is our expertise in autonomous performance seeking control approaches, that blend model predictive approaches with optimization, and inverse solutions to poorly observed phenomena. We utilize novel observability measures based sensor tasking approaches to allocate sensors for collecting actionable data, then utilizing this to close the loop. We have applied these methodologies in source localization of atmospheric plumes, sweet-spot identification in formation flight, virtual aerodynamic shaping of aircraft wings, aeroelastic tailoring, hypersonic inlet shape optimization, and uncertainty quantification and propagation.
Website: http://wweb.uta.edu/faculty/subbarao

Email: subbarao@uta.edu

Phone: 8172727467

Address: 710 S. Nedderman Ave., Arlington, TX, 76019, United States
TX
 Principle Power IncSam Kanner Small Business Power Generation: Renewable Principle Power is an innovative technology and services provider for the offshore deep water wind energy market. PPI’s proven technology, the WindFloat - a floating wind turbine foundation – enables a change in paradigm for the industry in terms of reduced costs and risks for the installation and operations of offshore wind turbines. Principle Power sells the WindFloat as a technology solution and acts as service provider to developers, utilities and independent power producers, being present from the overall system design throughout fabrication, installation and commissioning, and providing support to customers during the operation life cycle of the platform.

Principle Power's mission is to make the WindFloat the most competitive, safe, reliable and environmentally friendly technology for deep-water offshore wind projects while enabling global offshore wind markets to reach their full potential.

Commercial advantages for floating offshore wind that are uniquely facilitated by the WindFloat solution include:

Lower Costs and Risk in installation and operations – WindFloat allows for on-shore platform assembly, offshore turbine installation and major repairs, eliminates the need for specialized and expensive installation vessels, and has minimal environmental and ecological impact to the sea-bed;
Location and depth constraint mitigation – WindFloat allows arrays to be optimally located in deep water with varied underwater landscapes, accessing the higher quality wind resources while eliminating negative visual impact.
The breadth of experience, expertise, and proven track record of Principle Power’s management team are commensurate with the demands of a successful technology developer and service provider to the industry. Based in the US, Principle Power is promoting adoption of the WindFloat globally.

Sam Kanner, is the R&D lead at Principle Power Inc, based in the Emeryville, CA office.
Website: http://principlepowerinc.com/en

Email: skanner@principlepowerinc.com

Phone: 5102805180

Address: 5901 Christie Avenue, Suite 303, Emeryville, CA, 94608, United States
CA
 University of CincinnatiMichael Alexander-Ramos Academic Transportation My background is in the area of multidisciplinary design optimization (MDO) and combined optimal design and control (co-design) as it relates to automotive and aerospace system design. In particular, I have worked on projects concerning the co-design of hybrid-electric propulsion systems for both plug-in hybrid-electric vehicles (PHEVs) as well as unmanned aerial vehicles (UAVs). Prior to becoming a faculty member, I worked as a senior hybrid systems researcher at General Motors Research and Development Center in Warren, Michigan. In that role, I performed applied research related to the reduced-order dynamic system modeling, design, and control of hybrid-electric and electric vehicle powertrains.

Although much of my research interests and capabilities lie in the area of automotive vehicle design, I also have many theoretical research interests and capabilities that mesh well with the FOA. Specifically, my research team and I have developed an improved decomposition-based co-design strategy using traditional MDO methods and an optimization strategy known as multidisciplinary dynamic system design optimization (MDSDO) for large-scale, complex dynamic systems. We are also the first researchers to propose and implement a robust formulation of MDSDO for the co-design of stochastic dynamic systems, and we also have developed preliminary versions of reliability-based MDSDO formulations that use rigorous probabilistic analysis of constraints in their solution. Finally, to support all of these co-design methods, we have a wealth of knowledge and capability in the areas of reduced-order dynamic system modeling and surrogate modeling/metmodeling for design optimization.
Website: https://ceas.uc.edu/research/centers-labs/integrated-vehicle-design-laboratory.html

Email: michael.alexander-ramos@uc.edu

Phone: 5135566402

Address: 688 Rhodes Hall, 2851 Woodside Drive, Cincinnati, OH, 45221, United States
OH
 CCLS, Columbia UniversityAlbert Boulanger Individual Other Energy Technologies In a book I coauthored, Computer-Aided Lean Management for the Energy Industry, a group of seasoned energy pioneers in oil and gas and electric power presented the opportunities of using machine learning for Computer Aided Lean Management or CALM in the energy industry product lifecycle. A prepublication 2008 tutorial on CALM is available at http://leanenergy.org/docs/CALM-Tutorial.pdf
We showed how an Integrated Systems Model (ISM) of the energy system built and improved during conceive and design stages can be used with machine learning, especially reinforcement learning, to optimize lean processes throughout the product lifecycle.
Areas of ML application we have studied capabilities and interested in:

•CALM methods to manage risk on huge CAPEX projects – ultradeep oil and gas and large scale renewable energy;
•Simulation-based optimization using the ISM with reinforcement learning (RL);
•Parametric optimization and automated discovery using RL (dynamic treatment regimes);
•Real Options using reinforcement learning for more accurate financial valuation of flexible operation throughout the product lifecycle;
•O&M policy optimization using portfolio management and ML;
•Failure prediction based on asset attributes. ML-based survival analysis;
•Threat avoidance and mitigation (ThreatSim) using the ISM and RL;
•Grid operation optimization using Smart Grid technology incorporating RL and ML;
•Forecasting (nowcasting), short term (days) and long term (years) using ML coupled with RL for flexible “fly-by-wire”, robust, cost-efficient, optimized operations and planning.
•Smart grid, minigrid, macrogrid and microgrid optimizing controllers for large penetration renewables;
•Function approximation and dimensionality reduction using encoders/decoder networks: fast AC powerflow (DeepFlow);
•Inverse problem solutions using Generative Adversarial Networks (GANs): OPF;
•Convolutional networks for nowcasting using satellite or radar data
•Gaming-the-system detection using the ISM, ML, and RL.

One point to make is that with lean energy, planning and operations become integrated.

My interest is in the application of GANs, RL, and inverse RL for the multistage optimization and inverse problems that occur in co-design
Website: http://smartgrid.info

Email: aboulanger@ldeo.columbia.edu

Phone: 2128701276

Address: 475 Riverside Drive, Rm 850, MC 7717, New York, NY, 10115, United States
NY
 Texas A&M UniversityDr. Shima Hajimirza Academic Power Generation: Renewable -Assistant Professor of Mechanical Engineering and Director of Energy, Control and Optimization lab (ECOlab) at Texas A&M University
-Expert in statistical modeling, optimization and control of dynamic systems, particularly those related to renewable energy generation and distribution.
- Expert in statistical inverse design and black-box optimization.

-Successful research background in developing prediction algorithms for solar irradiance and solar power plants energy generation.

-Solid research background in developing novel macro and micro models for estimating solar panel dust and pollution coverage and power loss.

-Successful research background in designing innovative tilt angle and voltage control algorithms for optimal power point operation (supply-demand balance) in the presence of environmental uncertainties and stochastic demand.

- Highly experienced in using numerical and statistical methods for micro/nano-scale energy conversion modeling and design.

-Expert in heat transfer, radiation, numerical optimization, statistical learning and control theory.

-Published more than 19 Journal papers and 30 conference proceedings on modeling, optimization and fabrication of thin film solar cells, and energy systems design and control.
Website: https://www.ecolab.tamu.edu/

Email: shima.hm@tamu.edu

Phone: 9798454280

Address: 3123 Tamu, College Station, TX, 77843, United States
TX
 University of Massachusetts Amherst Wind Energy CenterMatthew Lackner, Sanjay Arwade, James Manwell, Krish Sharman, Don DeGroot Academic Power Generation: Renewable The faculty members in the UMass Wind Energy Center have diverse expertise in the area of floating offshore wind energy, including:
• Aerodynamic analysis and aero-elastic blade design optimization of floating wind turbines.
• Structural control techniques of floating offshore wind turbines for fatigue and extreme load reduction using innovative damper systems.
• Structural reliability engineering and extreme events.
• Offshore wind energy design standards and loads analysis.
• Offshore geotechnical site investigation methods; offshore geostatistics; foundation and anchorage systems
• Model testing, experimentation and data analysis
• Floating offshore wind turbine sub-structure and mooring design, stability and dynamics.
Website: https://www.umass.edu/windenergy/

Email: lackner@umass.edu

Phone: 413-545-4713

Address: 160 Governors Dr, Amherst, MA, 01003, United States
MA
 Siemens Corporate TechnologyXiaofan Wu Large Business Grid Siemens Corporate Technology contributes to the company's success in many functions, including its technology and innovation strategy, research and development in the areas of electrification, automation and digitalization, cooperation with universities, patents and business excellence. Siemens’ central research and development arm sees itself as a strategic partner to the company’s businesses. It plays a key role in achieving and maintaining leading competitive positions in the fields of electrification and automation while at the same time helping Siemens fully tap into the growth field of digitalization.

Interests:
- Computer tools and methods for Control Co-Design of FOWTs.
- Develop Co-Optimization algorithms for designing controller and system parameters, including fluid dynamics, aerodynamics, mechanics, system of systems, control design and etc.
- Integration of optimization methods like topology optimization and structured controller synthesis into one unified framework.
- Provide a path to commercialization of a control-driven systems development using Siemens’ expertise in both system design and control engineering software.

Capabilities:
- Joint optimization of hardware and controller parameters for large-scale systems using structured controller synthesis.
- Multi-physics generative system design optimization using Siemens’ commercial software tools like NX, Simcenter, and Amesim.
- Experience with floating wind turbines in operations through Siemens Gamesa Renewable Energy.
Website: https://new.siemens.com/global/en/company/innovation/corporate-technology.html

Email: xiaofan.wu@siemens.com

Phone: 609-608-5145

Address: 755 College Road E, Princeton, NJ, 08540, United States
NJ
 University of Massachusetts, AmherstBlair Perot Academic Power Generation: Renewable Patented Turbine Augmenters that: (1) remove wake losses in wind farms, (2) stabilize floating wind turbine platforms.

30 years experience writing CFD codes for supercomputers.

Performed CFD simulations of full rotating wind turbine blade assembly (NREL Phase VI 6 test case at NASA-Ames).

Early GPU adopter (2009), and expert in hardware acceleration with FPGAs and analogy computers.

Operate a 4 ft square and 40 mph open wind tunnel facility.
Website: http://www.ecs.umass.edu/mie/tcfd/

Email: perot@umass.edu

Phone: 4135453925

Address: 135 Lincoln Ave, Amherst, MA, 01002-2009, United States
MA
 otherlabsaul griffith Small Business Power Generation: Renewable Prototyping anything.
Testing and Instrumentation.
Energy Data.
Custom Software and Simulation.
Design tools.
Robotics (mostly soft)
Compliant mechanisms
Precision machine design.

Otherlab is a small company that commercializes internally developed new technologies in "hard tech" through spin out companies.
We have successfully bought these technologies into the world :
www.sunfolding.com
www.kestrelmaterials.com
www.canvas.build
www.roamrobotics.com
www.3dfablight.com
www.voluteinc.com
Website: www.otherlab.com

Email: saul@otherlab.com

Phone: 4152253618

Address: 3101 20th st, San Francisco, CA, 94110, United States
CA
 Resolved AnalyticsStewart Bible Small Business Power Generation: Renewable Resolved Analytics is a computational engineering consulting firm specializing in numerical modeling (MATLAB), CFD, FEA and multi-physics simulations. Our mission is to lower the barriers between our partners and the insights that can be attained through computational engineering. We have specific expertise in optimizing control functions for renewable power generation technologies including wind and wave devices and numerical modeling thereof.

Ideally we are interested in teaming with both academic or industrial partners who have component architectures in mind but not the numerical modeling background and tools needed to optimize the control thereof.
Website: https://www.resolvedanalytics.com

Email: stewart@resolvedanalytics.com

Phone: 704 559 9560

Address: 810 Vickers Ave, Durham, NC, 27701, United States
NC
 University of Maine: Wind-Wave (W2) Ocean Engineering LaboratoryAnthony M Viselli Academic Power Generation: Renewable The University of Maine: Wind-Wave (W2) Ocean Engineering Laboratory is a 100,00ft2 laboratory with 180 engineers, scientists, technicians, and support staff established in 1996 by the US National Science Foundation. The organization is a world leader in the development and commercialization of new material and structural systems for a variety of industries including floating offshore wind turbines. UMaine's team of engineers and technicians are currently finalizing the design and permitting of a DOE-funded 12 MW floating wind turbine Advanced Technology Demonstration Project, the first in the US, after a decade long research effort. UMaine has received a $39.9 Million grant from the DOE to help construct the $160 Million demonstration project south of Monhegan Island, 14 miles off the Maine coast. the project utilizes a UMaine developed floating concrete foundation technology.

Beyond this first demonstration project, UMaine continues to develop and evaluate new offshore wind technologies using its team of engineers and world class facilities including a wind/ wave basin purpose built to conduct scaled model testing of floating offshore wind turbines. The facility is a deep multi-paddle (16 in total) wave basin with an integrated, rotatable wind tunnel that permits simultaneous application of scaled wind and wave environments for sophisticated floating body model tests. The facility offers a full range of instrumentation, stock scale model turbines with active blade pitch control, standard wind profiles, and wave environments. The facility is uniquely suited to evaluate new technologies proposed under the expected ARPA-E FOA.

Additionally, UMaine also has developed a scaled testing site offshore Castine, Maine where it deployed already a 1/8 geometric scale prototype of a 6 MW turbine platform system funded by the US Department of Energy in 2013-2014. The site produces with a high probability scale wind and wave conditions that closely match scaled far offshore design conditions. This site could also be utilized for intermediate scale tests and trials.
Website: https://composites.umaine.edu/key-services/offshore-model-testing/

Email: anthony.viselli@maine.edu

Phone: 2075812828

Address: 35 Flagstaff Road, Orono, ME, 04469-5793, United States
ME
 Evergreen Innovations LLCJohannes Spinneken Small Business Power Generation: Renewable Evergreen Innovations is a controls and offshore hydrodynamics specialist, with a focus on assisting developers implementing their technology solutions. Our engineers have backgrounds in civil engineering, mechanical engineering, electrical engineering and control systems, all with a special focus on offshore renewables. We have previously worked with technology developers, academic partners, and large corporations such as DNVGL. Our expertise covers diverse topics, from development of second-order wave loading models to cloud-based software integration using Docker & AWS. Our team thrives in particular in developing hardware, software and embedded control systems for challenging energy system solutions. We combine our specialist offshore expertise with land-based grid-integration work, most recently contributing to a novel cloud-based asset management software for large distributed battery assets.

Johannes Spinneken (lead investigator) holds a Master’s degree in Electrical & Mechanical Engineering, and a PhD in Fluid Dynamics & Control from Imperial College London. Johannes has been working on control & hydrodynamics for 16 years, including work on absorbing wavemakers for Edinburgh Designs (e.g. system installed at U.S. Navy MASK basin at Carderock). He has been instrumental in driving specialist control solution for several offshore technology developers, where the co-design of control and hydrodynamic performance has often been key to technology success. Johannes currently leads the IEC TC114/62000 efforts, which recently led to the publication of IEC TS 62600-103:2018, “Guidelines for the early stage development of wave energy converters”.

Evergreen Innovations is actively involved in several US Department of Energy Water Power Program projects. Via our UK partner, Evergreen Innovations Ltd based in London, we also have strong ties to the UK offshore sector. For this potential FOA, we would like to collaborate with strong partners dedicated to driving offshore energy innovation. We can contribute: (i) strong understanding in offshore hydrodynamics, (ii) hands-on control implementation with many years of experience in making real-time control work for offshore applications, and (iii) co-design experience via our previous involvement in both academic and industrial projects. Please contact Johannes via the contact information provided below – we are really excited about carrying this opportunity forward.
Website: www.evergreeninnovations.co

Email: johannes@evergreeninnovations.co

Phone: 916 266 3709

Address: 2725 57th Street, Sacramento, CA, 95817, United States
CA
 University of Maryland, Baltimore CountyGang Li Academic Power Generation: Renewable Dr. Gang Li is a post-doc in the Department of Mechanical Engineering at the University of Maryland, Baltimore County, and the lead researcher of its Dynamic Systems and Vibrations Laboratory and Laser Vibrometry Laboratory. He works on drivetrain design for wind and tidal turbines with geared infinitely-variable speed converters and variable electromotive-force generators. His interests include the design and dynamic analysis of vertical axis wind turbines and gear transmission design.
Website: https://www.linkedin.com/in/gang-li-034368b2/

Email: gangli@umbc.edu

Phone: 3013327468

Address: 1000 Hilltop Cir, Baltimore, MD, 21250, United States
MD
 University of MichiganDr. Grzegorz Filip Academic Power Generation: Renewable - Assistant Research Scientist at the Department of Naval Architecture & Marine Engineering (NA&ME)
- Graduate degrees in NA&ME and Energy Systems Engineering
- Background in naval architecture, hydrodynamics, fluid-structure interaction, computational fluid dynamics (CFD), numerical methods, high-fidelity simulation, parallel computing, extreme events, stochastic analysis
Website: http://cshl.engin.umich.edu/

Email: gfilip@umich.edu

Phone: 5868640551

Address: 2600 Draper Dr, Ann Arbor, MI, 48109, United States
MI
 Eyedro Green Solutions IncTrevor Orton Large Business Other Energy Technologies Monitoring, analysis, presentation, and reporting of energy generation, consumption and costs.
Website: Eyedro.com

Email: torton@eyedro.com

Phone: 226-499-0944 x220

Address: 201-130 Weber St W, Kitchener, ON, N2H4A2, Canada
ON
 GE Global ResearchRogier S. Blom Large Business Power Generation: Renewable GE is a major globally operating OEM of products and services in Renewable Energy Generation, including Onshore and Offshore Wind Turbine products. GE Global Research has supported the GE Renewables business for 15+ years by pushing the boundaries of technology for their Wind Turbine systems, including co-design of advanced wind turbine controls, rotor aerodynamics optimization, structural & manufacturing technologies and electrical power conversion technologies.

The GE Global Research main campus in the US is located on a 600-acre site in Niskayuna, New York. The various R&D buildings contain more than 1.25 million square feet of laboratory, library, and office space. The Niskayuna site includes over 1,000 staff scientists, engineers, and technicians with over 600 holding Ph.D. degrees.

Pertinent to this ARPA-e program, GE Global Research has a strong interest in advancing radically new turbine designs and technologies and the use of control co-design to enable such designs to realize a proven step change in LCOE.
Website: https://www.ge.com/research/

Email: blom@ge.com

Phone: 518 387 6217

Address: 1 Research Circle, Niskayuna, NY, 12309, United States
NY
 University of VirginiaEric Loth Academic Power Generation: Renewable extreme-scale turbines including SUMR (Segmented Ultralight Moprhing Rotor) concept, downwind turbines, fluid-structure interaction, additive manufacturing for blades, gravo-aeroelastic scaling, wind energy storage concepts, and cost of energy analysis
Website: https://engineering.virginia.edu/faculty/eric-loth

Email: loth@virginia.edu

Phone: 434-924-3046

Address: 122 Engineer's Way, Charlottesville, VA, 22904, United States
VA
 Aquanis, IncNeal Fine Small Business Power Generation: Renewable Aquanis is a world leader in active load control for wind turbines. Our primary technology features an on-blade, segmented, active load control system that allows wind turbines to react rapidly to changes in the wind. We have expertise in aeronautical engineering, marine engineering, aerodynamics and hydrodynamics, mechanical design, control system design and analysis, computational fluid dynamics, and experimental methods (including experience with wind tunnels). We are also developing a novel blade coating that will improve the performance of wind turbine lightning protection systems.
Website: www.aquanisinc.com

Email: nfine@aquanisinc.comm

Phone: 4015957379

Address: 42 Ladd Street, Suite 106, East Greenwich, RI, 02818, United States
RI
 PowerDocks LLCAnthony Baro Small Business Power Generation: Renewable Capabilities: Floating Electric Utility Infrastructure, Energy Storage, Renewable Energy Generation and Power Distribution, Smart Grids
Interests: Teaming with Ocean Engineering Design Build Firms
Website: www.blue-isles.com

Email: abaro@power-docks.com

Phone: 4014892273

Address: 151 Martine Street Suite 107, Fall River, MA, 02723, United States
MA
 Iowa State UniversityOssama Abdelkhalik Academic Other Energy Technologies Bio:
Associate Professor, Department of Aerospace Engineering, Iowa State University.
Education: PhD, Aerospace Engineering, Texas A&M University, 2005.
Published about 42 articles in peer-reviewed journals, and 45 articles in reputed conferences.
Graduated 5 PhDs and 9 MS, currently advising 3 PhD and 3 MS.

Research Expertise:
Control and Optimization of Dynamic systems with applications in ocean wave energy converters, Control Co-Design in wave energy converters including Co‐optimization for the plant configuration and controller design to leverage configuration-based nonlinear phenomena, consensus estimation and collective control in arrays of wave energy converters, Modelling, bio-inspired global optimization for systems architecture optimization, Optimal control of wave energy converters.
Website: https://www.aere.iastate.edu/directory/profile/ossama

Email: ossama@iastate.edu

Phone: 5152943613

Address: 2241 Howe Hall, 537 Bissell Rd, Ames, IA, 50011, United States
IA
 eWind ConsultantsAndrew D Zalay, P.E. Individual Power Generation: Renewable Background:
Professional MIT engineer with 34 years of wind energy experience including technical and commercial co-design (CCD) of floating offshore wind turbines (FOWT);
-Developed concrete/basalt floating foundation with 50% lower cost
-Conducted wave tank tests on concrete floating foundations at largest wave tank in the world at MARIN to confirm seakeeping for Hawaii met/ocean conditions
-Applied for over 1.7GW of FOWT sites including BOEM MA 502 and 503 and NY Fairways South and Great Lakes
-Assembled team for 400MW Blue Hawaii™ FOWT offshore project
-Owners Representative on over 3GW of windfarms,
- Developed advanced WTGs for NREL including “dynamic inducer” and 2-bladed WTG with torque limiting gearbox
-Commercialized 2-bladed WTG with torque limiting gearbox

Interest:
-Advance and commercialize concrete/basalt floating foundation with 50% lower cost by erecting FOWT and floating foundation in port on a barge using local equipment and resources
-Develop and commercialize FOWT’s with lowest LCOE ($/MWh)

Capabilities:
-Aeronautical Engineering (BS and MS from MIT)
-Mechanical /Structural/Civil Engineering (licensed PE CA and AZ)
-Marine Engineering
-Field Testing
-Construction
Website: under construcion

Email: zalaype@gmail.com

Phone: 9493780807

Address: PO Box 7560, Laguna Niguel, CA, 92607, United States
CA
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