Evaluation of passage and sorting of adult Pacific salmonids through a novel fish passage technology
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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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The transformative possibilities of smart manufacturing, which is defined by digitization, enhanced connectivity, advanced analytics, and integrated cyber-physical systems in manufacturing processes and systems, have been extensively discussed in the literature. Potential benefits underscored include cost reduction, production flexibility, shorter product times-to-market, energy efficiency, environmental impact reduction, and increased productivity. Scant attention has been given to formal methods for quantifying and analyzing energy productivity to aid a broad range of manufacturing industries in evaluating the merits of adoption. Here we present a strategic analysis framework to estimate cost-effective improvements in energy efficiency and productivity that may be realized through smart manufacturing. The framework uses the cost of conserving energy (CCE) as a complementary measure to determine the feasibility of a set of smart manufacturing interventions in the context of a specific factory, firm, or entire industry. Guided by a function-driven approach based on key performance indicators, the CCE measure accounts for system-wide changes in direct and indirect costs and total energy use relative to the same manufacturing system without smart manufacturing interventions. These changes include cost of cyber-physical systems, which include components such as sensors, controllers, smart equipment, and information and communication technology (ICT) equipment. Additionally, cost and savings are accounted from changes in primary and intermediate inputs, production time, off-spec production, and waste. Energy calculations include upstream energy use of the cyber-physical systems. For complex processes with significant circularity and/or feedbacks, we propose the use of input-output models to characterize elements of the CCE. The framework is discussed in the context of recent efforts in craft breweries to use smart manufacturing for reducing energy intensity and increasing product yield.
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This report documents the survey used to determine the robotics technology alternatives in the electric power industry.
Sandia National Laboratories (SNL) and the Monsanto Company (Monsanto) collaborated to develop advanced high throughput analytical detection and sensing technologies to improve the product discovery and development of healthy and nutritious food products for the U.S. marketplace. This benefits U.S. growers, consumers and other stakeholders in U.S. agriculture.
The objective of this CRADA is to facilitate cooperation among Tri-State Generation and Transmission Association, Inc. and collaborators of the Institute for the Design of Advanced Energy Systems (IDAES), including the National Energy Technology Laboratory, Sandia National Laboratories, and Lawrence Berkeley National Laboratory. The goal is to develop steady-state and dynamic optimization models of power plants. Tri-State will provide data related to the design and operation of power plants, which will be used to validate the IDAES team’s models and tools. These models will provide insight into potential improvements which could improve heat rate, reduce operations and maintenance costs, and/or improve reliability of the existing fleet of coal plants in the United States.
The Pacific Northwest National Laboratory (PNNL) located in Richland, Washington, hosted and administered Phase II Flaw Detection Performance Tests in August 2018 that allowed the newly matured ultrasonic guided wave phased-array (GWPA) air-slot NDE sensor—“Hanford-Probe A”—developed by Guidedwave to be evaluated for its flaw detection capability and repeatability. A portion of the Phase II Flaw Detection Performance Tests was performed on a subset of test flaws on which the original GWPA sensor was evaluated during Phase I Sensor Effectiveness Testing (SET) to facilitate a comparison in flaw detection performance between Hanford-Probe A and the original GWPA sensor demonstrated in Phase I. The objective of the performance comparison was to determine the extent to which GWPA sensor design changes impacted the flaw detection performance upon which selection of the sensor technology was originally based for the purpose of determining whether the flaw detection performance of the newly matured Hanford-Probe A GWPA air-slot NDE sensor is at least equal to that of the original GWPA sensor evaluated under Phase I SET. This technical letter report presents the results produced by the new Hanford-Probe A on the Phase I test flaws and the results of the flaw detection performance comparison between Hanford-Probe A and the original GWPA sensor demonstrated in Phase I.
KIER and NETL will collaborate to study hydrate-based technologies to enhance desalination, gas separation, and hydrocarbon flow through pipelines and wellbores. With optimized selections of hydrate formers and reactors, gas hydrates can be effective and economic mechanisms of separation for solid-water and gas mixtures, and gas hydrate formation or dissociation can be significantly delayed or expedited with suitably selected additives. Comprehensive laboratory studies, including identifying novel hydrate formers or inhibitors to control temperature and pressure requirements and understanding their working mechanism or developing reactor systems for production of large quantities of hydrates, will be performed at both KIER and NETL either parallelly or serially.
The Exascale Computing Project (ECP) Capability Assessment Report for Software Technologies at Sandia National Laboratories is provided. The projects are now aggregated to include Kokkos, Kokkos Kernels, VTK-m Operating Systems, and On-Node Runtime efforts. Key challenges and solution strategies are presented for each.
The National Energy Technology Laboratory (NETL) and NuIonic will collaborate in the development and commercial scaling of low-temperature and pressure ammonia synthesis using microwaves. Ammonia is one of the largest used chemicals in the world and is currently manufactured with a high temperature and pressure Haber-Bosch process. The current economical production scale of ammonia using Haber-Bosch (HB) synthesis is too large for the deployable scale of renewables (from 1 to 150 MW). Scaling down a HB process to 170,000 ton/year would increase production costs by a factor of 2-3. This collaboration will facilitate the deployment of a non-HB process for ammonia production that can directly interface and provide storage for intermittent renewable energy.
The major purpose of this project is to enable the development of compressors specifically designed for compatibility with low–global warming potential (GWP) refrigerants (with GWP values below 150). These compressors are intended for applications in residential and light commercial air-conditioning and heat pump systems. This report contains an exhaustive review of the existing literature with the intention of discerning the most efficacious methodologies currently in use for compressor modeling. This fundamental stage was designed to foster a comprehensive understanding of the intricate dynamics and mechanics of compressors. As a result, a model (PDSim) was selected to simulate scroll, rotary and linear compressor technologies.
Technology development plan, and optical instrument for Apollo project
Optical technology development plan and experiment design for Apollo extension program
Operation of NASA technology utilization regional dissemination center
Aerospace technology applications to civilian sector, noting spinoff and benefits
Refractory metal alloys metallurgy and technology - Conference, Washington, D.C., April 1968