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At least 541 records · Page 30

Cost Efficiency of Environmental DNA as Compared to Conventional Methods for Biodiversity Monitoring Purposes at Marine Energy Sites

The installation of marine energy systems may affect marine environments, and by extension, marine fish communities. Therefore, biomonitoring is an integral part of assessing impacts on species. Environmental DNA (eDNA) provides a noninvasive alternative to conventional monitoring surveys and the possibility of a more accurate assessment of species richness. Yet, its cost efficiency compared to traditional methods of monitoring is relatively unknown, especially when applied to monitoring around tidal, wave, and offshore wind energy installations. For this study, 202 peer-reviewed journal articles were dissected to inventory the diversity of supplies used for collecting and processing eDNA samples and to compile the average cost of eDNA surveys. Information collected included the type, volume, and brand of containers used in sampling; material, size, and brand of filters; and extraction methods. Cost information was gathered for the most common supplies, and a total cost was estimated for a hypothetical eDNA survey in Sequim Bay, WA, to compare with traditional methods of surveying such as beach seining and scuba surveys. The results showed a higher-than-expected diversity of supplies to collect and process eDNA samples. The most common supplies were 1 L Nalgene bottles at an average cost of 7.96 USD for collecting samples, 0.45 µm glass fiber Merck Millipore filters at an average cost of 1.51 USD for filtering samples, and the Qiagen DNeasy Blood and Tissue kit at 3.54 USD per sample for extracting DNA. When compared to beach seine and scuba surveys, eDNA surveys undertaken by senior researchers are less expensive for both initial surveys with all new materials as well as for follow-up surveys reusing some of the supplies. However, when surveys are done solely by students, eDNA surveys are more expensive than scuba surveys when no prior supplies are available and more than both beach seine and scuba surveys for follow-up surveys reusing supplies. In a professional sphere, where surveys are less often conducted by teams of students only, eDNA surveys are an effective and less-costly alternative to conventional methods. We anticipate that the development and refinement of eDNA methodology will continue to decrease surveying costs.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Feasibility Study for Renewable Energy Technologies in Alaska Offshore Waters

This study assesses the feasibility of ocean-based renewable energy sources for decarbonizing the energy supply, increasing coastal resilience, and building energy security and independence in Alaska with a focus on the Outer Continental Shelf (OCS) areas south of the Bering Strait and approximately east of the 169th meridian. Alaska's OCS holds vast renewable energy resource potential including, but not limited to, offshore wind, tidal and wave energy. However, most of this energy resource is "stranded" far from load centers (populations or industrial facilities) that could use the power. Therefore, developing these resources would also require monetizing the resource in some way. In this study we investigate hydrogen production as one monetizing opportunity, and we briefly discuss other possible markets for electricity.

08 HYDROGEN↗

Nonexhaustive Taxonomy of Hydropower and Pumped Storage Hydro Facilities [Slides]

The National Renewable Energy Laboratory (NREL) has published benchmark technical reports and presentations that disaggregate major product components for a variety of technologies, including land-based and offshore wind, photovoltaic, and battery energy storage systems. NREL has partnered with staff from the Pacific Northwest National Laboratory (PNNL) and members of the U.S. Department of Energy's Water Power Technology Office (WPTO) to create a non-exhaustive taxonomy of the major products and components of hydropower and pumped storage systems.

13 HYDRO ENERGY↗

Manufacturing and Additive Design of Electric Machines by 3D Printing (MADE3D) (Final Technical Report)

As the U.S clean energy transition hinges on the growth of offshore wind, this is expected to be a major driver for innovations in manufacturing, material and design advancements to enable robust and cost-competitive wind turbines. The race to build larger and taller turbines rated 10 megawatts (MW) and beyond, has intensified pressure on OEMs in terms of logistics of handling and transporting large wind components, securing critical raw material as well as scaling up necessary domestic production infrastructure to meet the demand. There is increased interest in building lightweight, more efficient, and high-power dense drivetrains that will ease the burden on installation, minimize the raw material demand, increasing domestic sourceability. Despite good efficiency and reliability, existing drivetrain technologies such as direct-drive permanent magnet generators are heavy (> 300 tons), expensive, and often rely on large quantities of rare-earth permanent magnets (PMs), steel and copper.

17 WIND ENERGY↗

Use Case Specification

Over the past three years, the Use Case Specification project has provided scenarios that have driven the development of key E-COMP capabilities and demonstrated their application to problems that the electric power industry is facing. These scenarios have provided the basis for which each Thrust has performed technical work, tying together E-COMP work under a common umbrella. Documented in this report is a summary of the background, motivations, and work – completed or proposed – under the three E-COMP use cases pursued to date: Offshore Wind, Remote Communities on the Olympic Peninsula, and Large Electric Loads.

24 POWER TRANSMISSION AND DISTRIBUTION↗

2024 Incubator Final Report: Active Hybrid Mooring

This Incubator project has defined and developed a representation of an active hybrid mooring (AHM) system in Simulink to assess whether the speed and accuracy of AHM is sufficient to warrant further investigation in a larger project. We first built a representative mooring system for the VolturnUS-S 15MW floating offshore wind turbine (FOWT) in 1,000-meter water depth to provide baseline loads and displacements needed in the AHM system, with the results showing off-the-shelf actuators would be practical. We then defined model configurations for the numerical and physical substructures, using standalone MoorDyn v2 with a novel input strategy and chained hydraulic actuators represented in Simulink Simscape, respectively. The remainder of the project has focused on verifying the existing models for speed and accuracy against OpenFAST simulations, increasing their complexity to enable six degree of freedom (6DOF) operation, and connecting the numerical and physical substructures into a single holistic model. The verification phase of the project has shown promising results, though further refinement is needed to resolve accuracy discrepancies and for robust performance across a wider range of metocean conditions. The numerical model we developed is computationally stable and operates faster than real time using a time step of 0.01 seconds or shorter, indicating the model is likely fast enough for our AHM design to operate successfully. Additionally, the Simscape model of a hydraulic actuator operates with less than 0.3% relative error when actuating mooring loads from an OpenFAST simulation of the VolturnUS-S 1,000-meter mooring system. The aforementined refinements will be performed in the next year as a Continuing Incubator, with key remaining tasks include programming the predictor-corrector loop to minimize movement error, testing against more complex nonlinear wave cases, and expanding to enable loads from connected shared mooring lines.

17 WIND ENERGY↗

Coastal Data Information Program (CDIP) Buoy 028

The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves and beaches along the coastlines of the United States. The buoy primarily collects wave and sea surface temperature information. These data are collected as a part of an observational database to support the floating offshore wind research and industry along the coast of California within the ORACLE project funded by DOE-WETO.

17 WIND ENERGY↗

NDBC Buoy 46011

The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are a part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.

17 WIND ENERGY↗

Surface Meteorological Station McKinleyville, CA

These data are collected as part of an observational database developed to support the floating offshore wind research and industry under the ORACLE project funded by DOE WETO. The surface meteorological data are collected by NOAA (https://psl.noaa.gov/data/obs/datadisplay), and here only data within the state of California are part of the database.

17 WIND ENERGY↗

NDBC Buoy 46012

The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.

17 WIND ENERGY↗

NDBC Buoy 46013

The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.

17 WIND ENERGY↗

NDBC Buoy 46014

The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are a part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.

17 WIND ENERGY↗

NDBC Buoy 46022

The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.

17 WIND ENERGY↗

NDBC Buoy 46025

The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.

17 WIND ENERGY↗

NDBC Buoy 46026

The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.

17 WIND ENERGY↗

NDBC Buoy 46027

The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.

17 WIND ENERGY↗

NDBC Buoy 46028

The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.

17 WIND ENERGY↗

NDBC Buoy 46042

The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.

17 WIND ENERGY↗