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At least 73 records · Page 4

Ice nucleating particle concentrations measured by the PNNL-CFDC during the AGINSGP field experiment

Real-time, immersion mode ambient ice nucleating particle (INP) concentrations were measured at ARM’s Southern Great Plains (SGP) site during the AGINSGP field experiment using a continuous flow diffusion chamber (CFDC) from Pacific Northwest National Laboratory (PNNL). The PNNL-CFDC is an ice-thermal gradient diffusion chamber that optically detects the freezing of single aerosol particles (Kulkarni et al. 2020). The instrument was located in the guest instrument facility (GIF) and measured INP concentrations from April 8th to April 29th. Air was drawn into the GIF through custom aluminum stack inlets (6” inner diameter) attached vertically to the outer GIF wall and the GIF outside platform. A blower pulled air through the stacks at a velocity of 1 m/s. Aerosol instruments subsampled via wall ports, through either 3/8” or 1/4" copper lines, depending on sample flow of the instrument. Kulkarni, G., Hiranuma, N., Möhler, O., Höhler, K., China, S., Cziczo, D. J., & DeMott, P. J. (2020). A new method for operating a continuous-flow diffusion chamber to investigate immersion freezing: Assessment and performance study. Atmospheric Measurement Techniques, 13(12), 6631–6643. https://doi.org/10.5194/amt-13-6631-2020.

54 ENVIRONMENTAL SCIENCES↗

PNNL Supports Hanford Waste Treatment

For more than 40 years, technical assistance from PNNL has supported the operations and processing of Hanford tank waste. Our expertise in tank waste chemistry, fluid dynamics and scaling, waste forms, and safety bases has helped to shape the site’s waste treatment baseline and solve operational challenges. The historical knowledge and unique scientific and technical expertise at PNNL are essential to the success of the Hanford mission.

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗

PNNL Strategic Goods Testbed: A Data Library for Illicit Nuclear Trafficking

Pacific Northwest National Laboratory (PNNL) has put significant effort into nonproliferation activities as an institution, both in terms of the classical nuclear material focused approach and in the examination of other strategic goods necessary to implement a nuclear program. To assist in these efforts, several projects in the Analysis in Motion (AIM) and Signature Discovery (SDI) Initiatives at PNNL are developing machine learning methodology for human-computer interaction in real time environments to assist analysts in this domain. All of these technical projects require access to data – whether it is in terms of detector data, shipping records, financial information, company relations, or other communications. The first question that mathematical and computational researchers come up with when asked to build analyst assist or automated tools is “What does the data look like? ” They become frustrated when basic questions like this can not be easily answered and this can have the effect of pushing researchers away from the nuclear trafficking domain, especially in strategic commodity and export control areas where data sets can not easily be generated through standard experimental techniques. For small projects that are building a proof of concept for their methodology, obtaining this data can be arduous and expensive. To relieve the burden of data collection from these projects and grow a lab-wide capability, the Strategic Goods Testbed Team has taken over data collection and placed subscriptions and access to flat data files in a centralized location so that all projects can benefit from these items. We have collected shipping data in the form of PIERS records, judicial information about export control cases, NAC data on the nuclear fuel industry, and financial data from Dun and Bradstreet and our data sets are continuing to expand. With a single access agreement, researchers in data-mining and other fields can utilize all of the records that have been downloaded, make requests through subscription services, and interact with other researchers through our interface. Our testbed team provides more than a simply static repository by working with researchers to refine their data needs and insure data quality as well as quantity. We are currently working with laboratory and initiative specific management to examine effective ways for continuing data growth and sustainability.

data capability↗

A Look into PNNL’s New Way of Making Metal Organic Framework Materials (MOFs)

Metal organic framework materials are used in many energy-efficient and green technologies. PNNL researchers may bring their commercial use a step closer to reality by developing a new way to create these materials in larger quantities, better qualities, and more quickly than ever before. This video is a step-by-step look at how our PNNL scientists create MOFs with 80% efficacy.

36 MATERIALS SCIENCE↗

PNNL Report: New Study Validates Color-Rendition Specification Criteria Based on TM-30

Pacific Northwest National Laboratory (PNNL) has released the results of a study – published in Lighting Research & Technology – that validates color-preference specification criteria based on ANSI/IES TM-30-18. The result provides additional data to support TM-30 Annex E (in press), which will include tiers of recommended specification criteria for different goals (color preference, color vividness, and color fidelity), among other information related to color rendition specification. Standardized methods for evaluating the color rendition of light sources have progressed rapidly in the past five years, beginning with the publication of IES TM-30-15, followed by the adoption of CIE 224:2017, and culminating with the issuance of ANSI/IES TM-30-18 (which revised TM-30-15, made it a national standard, and unified the calculation framework of CIE 224 and IES TM-30). Importantly, none of these documents provided guidance on how to specify color rendition using the included measures; that is, no value or combination of values was identified that leads to any desired quality of the light. Dozens of experiments over the past 60 years have examined subjective evaluations of color quality—such as preference, naturalness, or vividness—although the focus has traditionally been on developing a single-number color quality metric rather than specification criteria. Further, many of these pre-LED and pre-TM-30 studies were limited in their ability to vary the lighting characteristics, preventing them from generating a complete and accurate picture of what influences color rendering quality in architectural spaces. A renewed emphasis in this area of research over the past four years has yielded a growing consensus about how measures of color fidelity (Rf), gamut area (Rg), and red chroma (Rcs,h1) can be used in combination to effectively describe several important perceptual attributes. In the new study, which was the third in a series conducted at PNNL, 90 lighting conditions with systematically varied color rendition and chromaticity were evaluated by 25 participants, who provided ratings for normalness, saturation, preference, and acceptability. The lighting conditions were specifically designed to test the bounds of previously proposed color preference criteria, while simultaneously verifying the applicability of the criteria across different values of CCT and Duv. In line with the preceding work, there were substantial differences in ratings based on color rendition, but minimal differences based on chromaticity. The tested criteria performed well, although after the experiment, some small adjustments in lower limits provided more effective divisions between tiers of performance. The adjusted criteria are: • Level 1: Rf = 78, Rg = 95, -1% = Rcs,h1 = 15% • Level 2: Rf = 74, Rg = 92, -7% = Rcs,h1 = 19% • Level 3: Rf = 70, Rg = 89, -12% = Rcs,h1 = 23%. These criteria were concurrently checked against the results from other, independent experiments, and will be included in ANSI/IES TM-30 Annex E as the specifications for color preference. The new criteria will be a valuable tool for improving lighting quality and balancing the tradeoff between color rendition and energy efficiency.

Royer, Michael P.↗

PNNL-Sequim Campus Radionuclide Air Emissions Report for Calendar Year 2024

The U.S. Department of Energy Office of Science’s Pacific Northwest Site Office has oversight and stewardship duties associated with the Pacific Northwest National Laboratory (PNNL) Sequim campus. Facility operations include radiological operations with the potential to emit low levels of radioactive materials.

54 ENVIRONMENTAL SCIENCES↗

Wetlands Delineation Report and Classification: PNNL – Sequim (formerly MSL) Wetland Delineation for the Water and Sewer Line

A wetlands delineation report summarizes the wetland delineation on the southern portion of PNNL-Sequim campus to support campus development, maintenance, and potential research activities. The delineation was conducted in accordance with state and federal wetland regulations and summarizes the potential jurisdiction. This will used to support biological reports, NEPA documents, and permit applications.

54 ENVIRONMENTAL SCIENCES↗

Retrospective neutron spectrum determination of a (30 MeV D, Be) source using the multi-foil activation technique and STAYSL-PNNL [Characterization of neutron spectra from a (30 MeV d, Be) source using the multi-foil activation technique]

Retrospective characterization of a (30 MeV D, Be) neutron source was performed employing multi-foil activation and STAYSL-PNNL. Experimental reaction rates were calculated from gamma spectroscopy measurements of irradiated foils and MCNP provided the guess spectrum. Adjusted spectra were evaluated through activation calculations for a stainless-steel target using FISPACT-II. Adjusted spectra showed limited dependence on the dosimetry reactions and provided minor improvements in activation calculations. Omitting reflected neutrons in the guess spectrum generated poor activation results and the limited number of dosimetry reactions introduced doubt in the adjusted spectra. Furthermore, a dedicated neutron spectrometry experiment and a more detailed simulation is required.

42 ENGINEERING↗

Evaluation of Cellular Shades in the PNNL Lab Homes

This report examines the energy performance of cellular shade window coverings in a matched pair of all-electric, factory-built “Lab Homes” located on the Pacific Northwest National Laboratory (PNNL) campus in Richland, Washington. The 1500-square-foot homes were identical in construction and baseline performance, which allowed any difference in energy and thermal performance between the baseline home and the experimental home to be attributed to the retrofit technology installed in the experimental home. To assess the performance of high efficiency window attachments in a residential retrofit application, the building shell air leakage, energy use, and interior temperatures of each home were compared during the 2015 -2016 winter heating and summer cooling seasons. Hunter Douglas Duette® Architella® Trielle™ opaque honeycomb “cellular” shades were installed over double-pane clear-glass, aluminum-frame primary windows in the experimental home and were compared to identical primary windows with no window coverings and with standard typical white vinyl horizontal blind window coverings in the baseline home.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Testing the Performance and Dynamic Control of Energy-Efficient Cellular Shades in the PNNL Lab Homes

This report describes the experimental design and results of testing the energy performance of Hunter Douglas double-cell cellular shades under various control schemes in the Pacific Northwest National Laboratory’s (PNNL) Lab Homes. The results of both heating and cooling season experiments are presented, where testing is designed to assess the heating, ventilation, and air conditioning (HVAC) savings resulting from the thermal insulating properties as well as the automated and dynamic control strategies of shading devices. Control schemes tested include common “connected home” strategies where controls are integrated and coordinated between the window shading device, building thermostats, and external sensors.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

PNNL Sequim Campus Radionuclide Air Emissions Report for Calendar Year 2020

The U.S. Department of Energy Office of Science (DOE-SC) Pacific Northwest Site Office has oversight and stewardship duties associated with the Pacific Northwest National Laboratory Sequim Campus. Some research projects have the potential to emit low levels of radioactive materials. This report is prepared to document compliance with the Code of Federal Regulation, Title 40, Protection of the Environment, Part 61, National Emission Standards for Hazardous Air Pollutants, Subpart H, “National Emission Standards for Emissions of Radionuclides Other than Radon from Department of Energy Facilities” and Washington Administrative Code Chapter 246-247, "Radiation Protection–Air Emissions." Compliance is indicated by comparing the estimated effective dose equivalent (EDE) to the maximally exposed individual (MEI) member of the public with the 10 millirem per year (mrem/yr) U.S. Environmental Protection Agency (EPA) standard. The PNNL Sequim Campus has only fugitive emissions sources. Despite the fact that the regulations are intended for application to point source emissions, fugitive emissions are included with regard to complying with the EPA standard. The EDE to the Campus MEI due to routine operations in 2020 was 3.5E-05 mrem (3.5E-07 mSv). No non-routine emissions occurred in 2020. The Sequim Campus is in compliance with the federal and state 10 mrem/yr standard.

40 CFR 61 Subpart H↗

PNNL Sequim Campus Radionuclide Air Emissions Report for Calendar Year 2021

The U.S. Department of Energy Office of Science (DOE-SC) Pacific Northwest Site Office has oversight and stewardship duties associated with the Pacific Northwest National Laboratory Sequim Campus. Some research projects have the potential to emit low levels of radioactive materials. This report is prepared to document compliance with the Code of Federal Regulation, Title 40, Protection of the Environment, Part 61, National Emission Standards for Hazardous Air Pollutants, Subpart H, “National Emission Standards for Emissions of Radionuclides Other than Radon from Department of Energy Facilities” and Washington Administrative Code Chapter 246-247, "Radiation Protection–Air Emissions." Compliance is indicated by comparing the estimated effective dose equivalent (EDE) to the maximally exposed individual (MEI) member of the public with the 10 millirem per year (mrem/yr) U.S. Environmental Protection Agency (EPA) standard. The PNNL Sequim Campus has only fugitive emissions sources. Despite the fact that the regulations are intended for application to point source emissions, fugitive emissions are included with regard to complying with the EPA standard. The EDE to the Campus MEI due to routine operations in 2021 was 5.4E-05 mrem (5.4E-07 mSv). No non-routine emissions occurred in 2021. The Sequim Campus is in compliance with the federal and state 10 mrem/yr standard.

40 CFR 61 Subpart H↗

PNNL-Sequim Campus Radionuclide Air Emissions Report for Calendar Year 2023

The U.S. Department of Energy Office of Science (DOE-SC) Pacific Northwest Site Office has oversight and stewardship duties associated with the Pacific Northwest National Laboratory Sequim campus. Some research projects have the potential to emit low levels of radioactive materials. This report is prepared to document compliance with the Code of Federal Regulation, Title 40, Protection of the Environment, Part 61, National Emission Standards for Hazardous Air Pollutants, Subpart H, “National Emission Standards for Emissions of Radionuclides Other than Radon from Department of Energy Facilities” and Washington Administrative Code Chapter 246-247, "Radiation Protection–Air Emissions." Compliance is indicated by comparing the estimated effective dose equivalent (EDE) to the maximally exposed individual (MEI) member of the public with the 10 millirem per year (mrem/yr) U.S. Environmental Protection Agency (EPA) standard. The PNNL-Sequim campus has only fugitive emissions sources.

40 CFR 61 Subpart H↗

PNNL Scanning Lidar (184) / Reviewed data - with calibrated azimuth

These data include scanning Doppler lidar measurements from the deployment of the PNNL HALO XR+ (s/n 184) at the Nantucket site. The measurements include calibrated beam azimuth angles, radial velocity, backscatter, signal to noise ratio per each line of sight, and range-gate. The data are provided in NetCDF.

17 WIND ENERGY↗

PNNL Superfund Research Program Analytics (srpAnalytics Data Release v.1.0)

The OSU/PNNL superfund Research Program represents a longstanding collaboration to quantify Polycyclic Aromatic Hydrocarbons at various superfund sites in the Pacific Northwest and assess their potential impact on human health. To link the chemical measurements to biological activity, we describe the use of the zebrafish as a high-throughput developmental model of human exposure that provides quantitative measurements of the biological ramifications of exposure to toxicants. The PNNL Superfund have implemented a dose-response modelling pipeline to calculate benchmark dose parameters that enable the comparison of potency across chemicals and phenotypes. Our portal provides public access to this dataset and an interactive web site designed to enable exploration and re-use of this data by the scientific community at http://srp.pnnl.gov.

OSU-PNNL Superfund Research Program Center SRP↗

PNNL Radiation Detection for Nuclear Security Summer School

PNNL's Radiation Detection for Nuclear Security Summer School gives graduate and advanced graduate students an understanding of how radiation detectors are used in national security missions.

98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL P↗

PNNL Fish Telemetry: Improving the Sustainability of Hydropower One Tag at a Time

Evaluating the environmental impact of hydropower is critical to the growth, development, and maintenance of this vital energy source. Operators, developers, and regulators often turn to animal telemetry to measure the effect of dams on fish populations. PNNL’s tagging portfolio consists of a range of tags suitable for a variety of applications from active tags slightly larger than a grain of rice to larger tags that power themselves via a fish’s natural movement.

13 HYDRO ENERGY↗

pnnl-predictive-phenomics/csc009-gem

Genome-Scale Metabolic Model of CarbStore Community member Curtobacterium (csc009) Continuous Validation with Memote These repositories contain the continuous validation environment for an organism-specific genome-scale metabolic model (GEM) using Memote. Memote is a software tool that provides a suite of tests to ensure the quality and consistency of metabolic models. By integrating Memote into a continuous integration (CI) workflow, we can automatically validate updates to the GEM, ensuring that model modifications improve or maintain the model's integrity

Lin, Tesia↗