Advanced Laboratory and Field Arrays (ALFA)/Lab Collaboration Project (LCP) for Marine Energy (Final Scientific/Technical Report)
- Oregon State Univ., Corvallis, OR (United States); Oregon State University
- Oregon State Univ., Corvallis, OR (United States)
- Univ. of Washington, Seattle, WA (United States)
- Univ. of Alaska, Fairbanks, AK (United States)
The objective of the Advanced Laboratory and Field Arrays (ALFA) project was to reduce the Levelized Cost of Energy (LCOE) of Marine and Hydrokinetic (MHK) energy by leveraging research, development, and testing capabilities at Oregon State University, University of Washington, and the University of Alaska, Fairbanks. ALFA is a project within the Pacific Marine Energy Center (PMEC; formerly NNMREC), a multi-institution entity with a diverse funding base that focuses on research and development for marine renewables. The ALFA project aimed to accelerate the development of next-generation arrays of wave energy conversion (WEC) and tidal energy conversion (TEC) devices through a suite of field-focused R&D activities spanning a broad range of strategic opportunity areas identified in the Funding Opportunity Announcement: • Device and/or array operation and maintenance (O&M) logistics development; • High-fidelity resource characterization and/or modeling technique development and validation; • Array-specific component technology development (e.g. moorings and foundations, transmission, and other offshore grid components); • Array performance testing and evaluation; and • Novel cost-effective environmental monitoring techniques and instrumentation testing and evaluation. The objective of the Lab Collaboration Project (LCP) was to accelerate the development of next-generation marine energy conversion systems. The LCP aimed to achieve these project objectives in collaboration with the national laboratories by: • Developing concept generation and assessment tools; • Improving access to existing testing resources; • Validating collision risk models between fish and turbines; and • Advancing analysis and simulation capabilities for wave-WEC interactions and PTO analysis in nonlinear ocean waves. The ALFA portion of the project was comprised of six overarching technical tasks: • Task 1: Debris Modeling, Detection and Mitigation; • Task 2: Autonomous Monitoring & Intervention; • Task 3: Resource Characterization for Extreme Conditions; • Task 4: Robust Models for Design of Offshore Anchoring and Mooring Systems; • Task 5: Performance Enhancement for Marine Energy Converter (MEC) Arrays; and • Task 6: Evaluating Sampling Techniques for MHK Biological Monitoring. The LCP was divided into four overarching technical tasks: • Task 7: Project Management and Reporting • Task 8: Novel Design and Assessment Methodologies for Wave Energy Converter Design (Wave- SPARC) • Task 9: Testing Access for Commercial Marine Renewable Energy Technology Developers • Task 10: Quantifying Collision Risk for Fish and Turbines • Task 11: Nonlinear Ocean Waves and PTO Control Strategy Each ALFA/LCP task listed above functioned as a separate and discreet project. A final Technical Report was written for each individual task and these reports were uploaded to OSTI, after receiving DOE approval. The following document is a compilation of each of these final, approved reports arranged as individual chapters.
- Research Organization:
- Oregon State Univ., Corvallis, OR (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
- DOE Contract Number:
- EE0006816
- OSTI ID:
- 2461599
- Report Number(s):
- DOE-OSU--06818
- Country of Publication:
- United States
- Language:
- English
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16 TIDAL AND WAVE POWER
AUV
Anchoring and Mooring System Performance
Array Optimization
AutoAMP
Autonomous Underwater Vehicle
Biological sampling techniques
Buoy Data
Commercialization
Conceptual design methods
Cost-Effective Design
Cross-flow turbine arrays
Design process evaluation
Environmental monitoring
Extreme Events
Generalized Extreme Value Techniques
Genetic Algorithm
Hinsdale Wave Research Laboratory
Industrial partners
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MHK industry
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Technological Performance Level
User-centered methodology
Wave Energy Converters
Wave Forecast System
Wave Metrics
autonomous intervention
autonomous manipulation
autonomous monitoring
autonomous navigation
challenging marine environments
computational modeling
debris diverter
debris mitigation measures
debris statistics
emersal fish
field testing
floating REC platform
marine hydrokinetic arrays
mechanical debrisdetection device
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pelagicfish
remote sensing techniques
river hydrokinetic energy project
riverine debris
sAUV
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