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At least 19 records

National Wind Tunnel Complex (NWTC)

The National Wind Tunnel Complex (NWTC) Final Report summarizes the work carried out by a unique Government/Industry partnership during the period of June 1994 through May 1996. The objective of this partnership was to plan, design, build and activate 'world class' wind tunnel facilities for the development of future-generation commercial and military aircraft. The basis of this effort was a set of performance goals defined by the National Facilities Study (NFS) Task Group on Aeronautical Research and Development Facilities which established two critical measures of improved wind tunnel performance; namely, higher Reynolds number capability and greater productivity. Initial activities focused upon two high-performance tunnels (low-speed and transonic). This effort was later descoped to a single multipurpose tunnel. Beginning in June 1994, the NWTC Project Office defined specific performance requirements, planned site evaluation activities, performed a series of technical/cost trade studies, and completed preliminary engineering to support a proposed conceptual design. Due to budget uncertainties within the Federal government, the NWTC project office was directed to conduct an orderly closure following the Systems Design Review in March 1996. This report provides a top-level status of the project at that time. Additional details of all work performed have been archived and are available for future reference.

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NWTC Dynamometer and Controllable Grid Interface Commissioning and Testing of General Electric Wind Turbine Drivetrain: Cooperative Research and Development Final Report, CRADA Number CRD 14-551

This CRADA (1) facilitates commissioning of the new NWTC 5MW dynamometer facility while testing a General Electric (Participant) 2.75MW wind turbine drivetrain under loaded conditions, (2) facilitates commissioning of the new NWTC the Controllable Grid Interface (CGI) as part of testing the GE 2.75MW drivetrain, (3) facilitates further wind turbine drivetrain testing utilizing the commissioned dynamometer and CGI test facilities.

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Structural Validation at the NWTC Helps Improve Component Design and Increase System Reliability

Since 1990, the National Wind Technology Center (NWTC) at the National Renewable Energy Laboratory (NREL) has validated more than 150 wind turbine blades, as well as blades and components for marine energy devices. Researchers at the NWTC can experimentally validate full-scale and subcomponent articles, conduct data analyses, and provide engineering expertise to optimize design practices. Structural evaluation of turbine blades enables designers, manufacturers, and owner operators t o assess designs and structural performance under specific extreme loading and dynamic conditions. Rigorous structural validation can reveal design and manufacturing problems at an early state of development that lead to improvements in component design and increase system reliability.

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LandRAY PTO Testing Utilizing the NREL NWTC 5MW Dynamometer

The overarching project objective is to demonstrate the feasibility of using an innovative PowerTake-Off (PTO) Module in Columbia Power's utility-scale wave energy converter (WEC). The PTO Module uniquely combines a large-diameter, direct-drive, rotary permanent magnet generator; a patent-pending rail-bearing system; and a corrosion-resistant fiber-reinforced-plastic structure

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NWTC Site 4.0 - NREL ASSIST (SN10) / Thermodynamic retrievals TROPoe

This dataset contains daily files with thermodynamic profiles retrieved with the optimal estimation physical retrieval TROPoe v0.12 (Turner and Löhnert 2014; Turner and Blumberg 2019; Turner and Löhnert 2021). The profiles are retrieved every 10 minutes from instantaneous observations from the NREL ASSIST-II (SN 10) infrared spectrometer. Observations are noise-filtered but not averaged in time to minimize errors due to non-uniform clouds. Additional input data in TROPoe are cloud base height from a Vaisala CL51 ceilometer. The full pipeline for running the retrieval is available at https://github.com/StefanoWind/TROPoe_processor. Met data were not ingested. In addition to these temporally resolved input data, TROPoe requires an a priori dataset (prior) that provides mean climatological estimates of thermodynamic profiles and specifies how temperature and humidity covary with height as an input (for details see, e.g., Djalalova et al. 2022). The prior is a key component of the retrieval and provides a constraint on the ill-posed inversion problem. A monthly prior was computed from operational radiosonde launches at Denver, CO.

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NWTC Site 3.2 - NREL ASSIST (SN12) / Thermodynamic retrievals TROPoe

This dataset contains daily files with thermodynamic profiles retrieved with the optimal estimation physical retrieval TROPoe v0.12 (Turner and Löhnert 2014; Turner and Blumberg 2019; Turner and Löhnert 2021). The profiles are retrieved every 10 minutes from instantaneous observations from the NREL ASSIST-II (SN 12) infrared spectrometer. Observations are noise-filtered but not averaged in time to minimize errors due to non-uniform clouds. Additional input data in TROPoe are cloud base height from a Vaisala CL51 ceilometer. The full pipeline for running the retrieval is available at https://github.com/StefanoWind/TROPoe_processor. Met data were not ingested. In addition to these temporally resolved input data, TROPoe requires an a priori dataset (prior) that provides mean climatological estimates of thermodynamic profiles and specifies how temperature and humidity covary with height as an input (for details see, e.g., Djalalova et al. 2022). The prior is a key component of the retrieval and provides a constraint on the ill-posed inversion problem. A monthly prior was computed from operational radiosonde launches at Denver, CO.

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Title NWTC Site 3.2 - NREL ASSIST (SN11) / Thermodynamic retrievals TROPoe

This dataset contains daily files with thermodynamic profiles retrieved with the optimal estimation physical retrieval TROPoe v0.12 (Turner and Löhnert 2014; Turner and Blumberg 2019; Turner and Löhnert 2021). The profiles are retrieved every 10 minutes from instantaneous observations from the NREL ASSIST-II (SN 11) infrared spectrometer. Observations are noise-filtered but not averaged in time to minimize errors due to non-uniform clouds. Additional input data in TROPoe are cloud base height from a Vaisala CL51 ceilometer. The full pipeline for running the retrieval is available at https://github.com/StefanoWind/TROPoe_processor. Met data were not ingested. In addition to these temporally resolved input data, TROPoe requires an a priori dataset (prior) that provides mean climatological estimates of thermodynamic profiles and specifies how temperature and humidity covary with height as an input (for details see, e.g., Djalalova et al. 2022). The prior is a key component of the retrieval and provides a constraint on the ill-posed inversion problem. A monthly prior was computed from operational radiosonde launches at Denver, CO.

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National Wind Technology Center-Characterization of Atmospheric Conditions

Data provided by the instrumentation located at the National Wind Technology Center (NWTC) is compiled below for the purposes of characterizing the atmospheric operating conditions at the National Renewable Energy Laboratories (NREL) wind site. Conditions are presented conditioned on month of the year to show seasonal variation, and based on characteristic quantities seen in the atmospheric flow including, bulk wind speed, direction, and atmospheric stability. All data reported and analyzed in the following document were collected from instrumentation mounted on the 135 m-tall masts erected at the NWTC near Boulder, Colorado. Each of the two met-masts (named M4 and M5) were sited specifically to measure the inflow wind to several of the utility-scale turbines at the NWTC. The construction, operation, and maintenance of the masts has been supported since their commissioning in 2011 by the Department of Energy, Office of Energy Efficiency and Renewable Energy, Wind and Water Power Program. Data from the masts are publicly available for download or basic visualization, hosted on NREL's website (https://nwtc.nrel.gov/135mData). Data from the masts have been used in the past for a wide range of projects including wind turbine power performance measurements, high fidelity model development and validation, and atmospheric science research. An interactive visualization platform has been developed on NREL's Open Energy Information platform and can be used to reproduce many of the graphics included in the current work. This report describes in detail the atmospheric conditions recorded by M5, the inflow mast for the DOE-owned GE 1.5 MW wind turbine. The report focuses on data recorded from August 2012 to May 2018 and includes: an introduction to the wind climate at the NWTC; a physical description of the met masts; a review of installed instrumentation; and data collection, processing, and quality control methods. In addition to a concise description of the instrumentation from the met masts and the data channels they provide, this report characterizes the behavior of the atmospheric resource first in a cumulative sense, discussing mainly the distributions wind speeds, flow directions and thermodynamic properties at several heights along the towers. Periodicity in atmospheric conditions is then detailed through analysis of diurnal and annual cycles of the data streams. Periods of both low turbulence and extreme atmospheric events that are of interest in terms of wind turbine operation and wind energy research are detailed in the final chapter of this report. Low turbulence events are somewhat rare at the NWTC and are of interest from the perspective of validating the operation of new wind turbine and blade designs. Similarly, the NTWC is known for a relatively higher rate of occurrence of extreme weather events.

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Wildlife and Vegetation Monitoring Report at the National Wind Technology Center

As part of the five-year monitoring update of its natural resources, the National Renewable Energy Laboratory (NREL) contracted with ERO Resources Corporation (ERO) to conduct avian, small mammal, bat, carnivore, big game, amphibian, and vegetation surveys at the National Wind Technology Center (NWTC). This update to the baseline survey conducted in 2010-2011 will be used to evaluate and support National Environmental Policy Act (NEPA) analyses and assist in the management of natural resources at NWTC. NWTC is located on the boundary of Boulder and Jefferson Counties in Colorado (project area) and is part of the National Renewable Energy Laboratory (NREL), a laboratory of the U.S. Department of Energy (DOE). NWTC is operated by the Alliance for Sustainable Energy, LLC.

54 ENVIRONMENTAL SCIENCES↗

Fixed Point Raptor Migration Survey at the National Wind Technology Center: April 2010

The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) conducts a variety of research projects concerning wind energy research at the National Wind Technology Center (NWTC) located approximately 8 miles south of Boulder, Colorado, in northern Jefferson County. The NWTC provides a location with consistent winds and high speed gusts suitable for testing wind turbine technologies. Currently the NWTC houses a variety of structures on the 123 hectare (310 acre) site, including 13 operating turbines and 24 meteorological (met) towers. This report details the results of a migratory raptor field survey conducted at the NWTC during the month of April, 2010 as part of the larger study of site use by birds, and the site's effects on birds and bats.

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Avian Monitoring and Mortality Report at the National Wind Technology Center: January 2010 - February 2011

Tetra Tech EC, Inc. (Tetra Tech) conducted an avian monitoring and bird and bat mortality surveys at the National Wind Technology Center (NWTC) for NREL in 2010-2011. The purpose of the study was to quantify local avian use in the NWTC and vicinity and to estimate potential impacts to avian and bat species associated with the wind turbines and associated meteorological (met) towers at NWTC. Several different types of wind turbines are present on the NWTC with different capacities for energy production (1 kilowatt-3 megawatts [MW]; varying hub heights and turbine blade lengths) and met towers (guyed and unguyed) that vary in height (9.1-135 meters [m]). In a U.S. Department of Energy (DOE) review of three large turbine installations, DOE requested monitoring of avian and bat mortality be conducted, so that mitigation measures could be developed if needed.

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Florida Atlantic University-Southeast National Marine Renewable Energy Center: Cooperative Research and Development Final Report, CRADA Number CRD-10-377

Florida Atlantic University's Southeast National Marine Renewable Energy Center (SNMREC) and the National Renewable Energy Laboratory's National Wind Technology Center (NWTC) will collaborate to advance research and development (R&D) of marine and hydrokinetic (MHK) renewable energy technology, specifically renewable energy captured from oceanic currents such as the Florida Current. SNMREC is endeavoring to establish infrastructure and capabilities that will form the base of a marine energy technology testing center focused on energy production from open-ocean currents and ocean thermal resources. As part of this effort, SNMREC is also aiming to create technology development tools and an experimental hydrokinetic device to operate in the Florida Current. NWTC has experience in developing testing infrastructure and modeling tools. SNMREC has expertise in ocean engineering and operations, a large inventory of ocean instrumentation, and ready access to the ocean. NWTC and SNMREC will therefore work together on numerical modeling, technology design review and testing, the development of standardized MHK instrumentation, field testing, establishing testing protocols, and moving the SNMREC testing capability through A2LA accreditation.

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Vegetation and Wildlife Surveys at the National Renewable Energy Laboratory, National Wind Technology Center: July 2010-May 2011

This year-long wildlife and vegetation study was conducted to update the National Wind Technology Center (NWTC) vegetation and wildlife baseline conditions. These updated baseline conditions will be used to support future National Environmental Policy Act (NEPA) analyses. NWTC is a laboratory center of the National Renewable Energy Laboratory (NREL), a national laboratory of the U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy, and operated by the Alliance for Sustainable Energy, LLC. The current effort involved conducting four seasons of vegetation and wildlife surveys beginning in July 2010 and ending in May 2011. This report presents the results of these surveys. Concurrent avian monitoring studies by Tetra Tech, Inc. were conducted beginning January 2010 to September 2011. The results of these surveys are presented in a separate report. Prior to the current study, Plantae (2000) completed a site characterization of vegetation communities and noxious weeds, Monahan (1996) conducted a raptor study, and Schmidt et al. (2003) conducted a bird and bat use and fatality study. More recently, Walsh conducted a bat study in 2010.

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Southwest Wind Power R&D Test Site Development at the National Wind Technology Center (CRADA CRD-12-00472 Final Report)

Southwest Windpower, Inc. (SWWP) has been designing and distributing small wind turbines for more than 22 years and is the recognized global leader in the design, manufacturing and distribution of small wind systems (400-3000 watts). The company has been a pioneer in the development of wind technology and has built and shipped more than 170,000 wind turbines to over 120 countries worldwide. Headquartered in Flagstaff AZ, SWWP has sales representatives in over 88 countries. Applications for SWWP systems include residential homes, commercial properties, micro grids, remote cabins, telecom transmitters, offshore platforms, water pumping and sailboats. In addition, U.S. Department of Defense uses SWWP’s products in Forward Operating Bases (FOB’s), USGS uses them for remote monitoring of glacier movements and the CIA uses them to provide power seismic monitoring. Today, SWWP plans development of new technologies to address distributed energy market needs and become even more aggressive in international markets. This strategy includes extensive Research, Development, Demonstration & Deployment (RDD&D) activities to improve existing production line into more simple, reliable, and cost-effective wind turbine systems. Important part of such activities is the field testing of the new systems, which should provide: (i) validation of the reliable operation of hardware and software; (ii) validation of numerical models of the system and its components; (iii) field comparison of various control and optimization strategies; (iv) customized reliability testing; (v) customized monitoring and analysis testing; and (vi) IEC certification testing (vii) filed demonstration of system performance and reliability. Such field testing facility should encompass multiple towers and appropriate data acquisition systems. SWWP is exploring to move part of the engineering department to Colorado, and execute its RDD&D strategies in this new location. Partnership with NREL will provide great insights into SWWP’s RDD&D processes and more efficient commercialization by utilizing NWTC as the field testing site, and working close with NREL personnel. NWTC is ideally suited to strain the design. NREL is very experienced with customized and IEC testing. During this project, Southwest Windpower aims to improve the value proposition of distributed renewable energy, and make it a competitive choice in the energy markets. As of today, more then 170,000 small wind turbines, manufactured in the U.S., are installed in more then 180 countries. With the improved value proposition, Southwest Windpower wants to create and address new market needs, substantially increase its sales domestically and internationally, which should have positive impact on the creation of American jobs, competitiveness of U.S. economy, export or U.S. products, and the use of renewable energy.

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Acoustic Tomography System (CRADA Final Report)

NREL will install the CU/CIRES acoustic tomography array at the National Wind Technology Center (NWTC). The system consists of 9 freestanding towers of 9.1m height that are currently located at the NWTC. On these towers are installed a series of microphones and speakers. One center tower holds a sonic anemometer and temperature probe. The purpose of the acoustic tomography system is to measure complex flow fields surrounding wind turbine arrays that influence wind farm energy production and reliability. There is currently no funding to test and research the system (just install it), but NREL and CU researchers will write proposals that will fund the actual research with this unique measurement technology.

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Turbines, Wind Tunnels, and Teamwork: The 2017 Collegiate Wind Competition Technical Challenge

Ten college teams put their turbines to the test at the U.S. Department of Energy’s 2017 Collegiate Wind Competition Technical Challenge, held April 20–22 at the National Wind Technology Center (NWTC). The competition showcased a wide variety of turbine designs and highlighted the competitors’ brilliance, agility, and ingenuity. College students weren’t the only future wind energy experts at the NWTC that weekend: elementary and middle school students tested their turbines—crafted creatively from materials like soda bottles and aluminum foil—in the Colorado KidWind Challenge.

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Mesoscale to Microscale Coupling for a Wind Ramp Case over Complex Terrain

Within the wind energy community, it has become increasingly important to simulate realistic weather events at high fidelity in order to improve wind turbine design, wind farm efficiency, and power forecasting. One of the major difficulties in simulating atmospheric events with numerical models at high fidelity is in accurately transitioning from the mesoscale to the microscale. The mesoscale flow, when input into the large-eddy simulation (LES) domain, will be free of resolved turbulence; needing sufficient time and space (known as fetch) for resolved-scale turbulence to develop. In order to reduce this fetch, several methods exist in which the temperature field, wind field, or both, are stochastically perturbed in order to accelerate the generation of turbulence. However, for cases involving complex terrain, it remains unclear if these perturbation processes are necessary, and if the interaction of the flow over the terrain, alone, is sufficient to generate adequate turbulence. In this study, a wind ramp event observed at the National Wind Technology Center (NWTC) outside of Boulder, CO is simulated first with a mesoscale model and then, using the simulated mesoscale solution as initial and boundary conditions, within a microscale LES solver. The mesoscale solution generated by the Weather Research and Forecasting (WRF) model accurately captures the wind ramp event with only a slight temporal shift and a small temperature bias when compared to the meteorological towers in the NWTC site. This information is then taken as the initial and boundary conditions within the Simulator for Wind Farm Applications (SOWFA) microscale LES model with varying terrain inputs. These inputs include the high-resolution (roughly 30 m grid spacing) terrain data from the Shuttle Radar Topography Mission (SRTM) (Figure 1a), as well as, three intermediate terrain resolution data sets produced by applying a uniform convolution window to the SRTM data with varying window sizes (Figure 1b-d). These are compared to the WRF terrain data interpolated to the high-resolution microscale grid (Figure 1e) in order to determine the impact of low-resolution (about 1 km grid spacing) terrain data on turbulence generation. The wind field is compared at several heights and distances along the dominant wind flow axis between each of the terrain cases. It is found that the development of turbulence across the domain is accelerated as terrain information increases in fidelity. Further, because this ramp event at the location of interest is largely influenced by the interaction of the short-wave trough with the terrain, as the topographic information decreases in fidelity the accuracy of the ramp event is decreased. To make generalizations and describe the benefits and shortcomings of this approach, several of the existing perturbation techniques are employed and compared to that of turbulence generation through topographic features.

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