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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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At least 1,621 records · Page 90
All sourcesNASA NTRSDOE OSTI
DOE OSTI2017

Redox and plating electrode systems for an all-iron hybrid flow battery

A system for a flow cell for a hybrid flow battery, comprising: a redox plate comprising a plurality of electrolyte flow channels; conductive inserts attached to the redox plate between adjacent electrolyte flow channels; a redox electrode attached to a surface of the redox plate; a plating electrode, comprising: a plurality of folded fins with an oscillating cross-section, the plurality of folded fins comprising: a first planar surface; a second planar surface, parallel to the first planar surface; a plurality of ridges intersecting the first and second planar surfaces such that the plurality of ridges divide the first planar surface into a first plurality of strips, and divide the second planar surface into a second plurality of strips; and a membrane barrier. In this way, the capacity and performance of hybrid flow batteries may be maximized, through decreasing the reaction kinetics, mass transport and ohmic resistance losses at both electrodes.

Evans, Craig↗
DOE OSTI2019

Wargames as experiments: The Project on Nuclear Gaming’s SIGNAL framework

What can we learn from the Peloponnesian War that will help us deal with the intersection of cyber and nuclear conflict? What does World War I teach us about the role of nuclear-capable hypersonic weapons in warfare? Here, the short answer to both questions is—probably not much. While extensive scholarship on nuclear warfare and strategy exists, empirical data on the impact of emerging technologies such as cyber weaponry, advanced intelligence, surveillance, and reconnaissance tools, and precision-guided munitions are lacking. Here, given the importance of policy-relevant research to equip decision-makers with tools to understand nuclear deterrence and reduce the likelihood of nuclear war, the scarcity of data available to analysts remains a critical gap.

45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEF↗
DOE OSTI2019

Exploring Energy-Efficient and Sustainable Urban Mobility Strategies: An Initial Framework to Curate Data/Models, Measure Performance, and Diffuse Innovation: Preprint

Many cities across the United States seek to understand the maturity of data and models that are available to help manage challenges, opportunities, and uncertainties associated with the shifts in technologies, human behaviors and sustainable urban mobility strategies. One key question identified for smart city action planning includes how to best shape continuous improvements for urban populations at the intersection of mobility, energy, and quality of life? With the emerging megatrends of urbanization (more than 70% of world population in cities by 2050), on-demand shared mobility, vehicle electrification, and automated vehicles, initial 'urban science' studies to date have demonstrated the potential and need for maturing the related data and model ecosystems and on-going performance measurement across multiple urban system goals: e.g., from more mobility, clean and efficient energy use, accessibility and safety to less air pollution, traffic, and resource-intensive urban sprawl. To build on emerging literature and understand city responses to disruptive change, this initial study engages researchers and practitioners across four smart city finalists (Columbus, Denver, Austin and Portland) that competed in the U.S. Department of Transportation (DOT) Smart City Challenge. The initial results emphasize the need for a suite of datasets and diverse analytical approaches that support U.S. Department of Energy (DOE) relevant research with cities. Considering desirable energy and mobility outcomes as a first step to advancing smart city solutions strategies, we systematically review approaches of and shortcomings in four U.S. cities, and suggest improvements in three areas: measurement, modeling effectiveness of new mobility technologies, and data-driven governance.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗
DOE OSTI2019

DeepCMB: Lensing Reconstruction of the CMB with Deep Neural Networks

Next-generation cosmic microwave background (CMB) experiments will have lower noise and therefore increased sensitivity, enabling improved constraints on fundamental physics parameters such as the sum of neutrino masses and the tensor-to-scalar ratio r. Achieving competitive constraints on these parameters requires high signal-to-noise extraction of the projected gravitational potential from the CMB maps. Standard methods for reconstructing the lensing potential employ the quadratic estimator (QE). However, the QE performs suboptimally at the low noise levels expected in upcoming experiments. Other methods, like maximum likelihood estimators (MLE), are under active development. In this work, we demonstrate reconstruction of the CMB lensing potential with deep convolutional neural networks (CNN) - ie, a ResUNet. The network is trained and tested on simulated data, and otherwise has no physical parametrization related to the physical processes of the CMB and gravitati onal lensing. We show that, over a wide range of angular scales, ResUNets recover the input gravitational potential with a higher signal-to-noise ratio than the QE method, reaching levels comparable to analytic approximations of MLE methods. We demonstrate that the network outputs quantifiably different lensing maps when given input CMB maps generated with different cosmologies. We also show we can use the reconstructed lensing map for cosmological parameter estimation. This application of CNN provides a few innovations at the intersection of cosmology and machine learning. First, while training and regressing on images, we predict a continuous-variable field rather than discrete classes. Second, we are able to establish uncertainty measures for the network output that are analogous to standard methods. We expect this approach to excel in capturing hard-to-model non-Gaussian astrophysical foreground and noise contributions.

79 ASTRONOMY AND ASTROPHYSICS↗
DOE OSTI2019

Reconstruction and Selection Tools for Charged-Current Muon Neutrino Cross Sections in SBND

SBND Near detector for the Short-Baseline Neutrino program [1] searching for sterile neutrinos in the Booster Neutrino Beam. Data taking starts in 2020. Primary detector is a liquid argon time projection chamber with a central cathode and two drift regions (TPCs). Ionization caused by charged particles is drifted in a strong electric field and detected on wire planes. Readout triggered by the neutrino beam timing and the photon detector system (PDS). Equipped with a suite of cosmic ray taggers (CRTs) [2] surrounding the central detector. Cross-sections and backgrounds SBND will provide world leading neutrino-argon cross-sections with 7,000,000 neutrino events in three years. Charged-current muon neutrino interactions will be the most abundant. The detector is on the surface with a small overburden so there is a high flux of cosmic rays (mostly muons). Cosmic ray muons can be significant background because the electron drift velocity is slow. Reconstruction Charged deposited in the TPC is reconstructed into track and shower objects with calorimetry and interaction topology information [3]. Unambiguous cosmic rays are removed. Particle-CRT intersections are reconstructed as CRT hits, trajectories of through-going particles are reconstructed as CRT tracks. Cosmic background removal SBND will see 2-3 cosmic muon interactions in the TPC for every neutrino interaction after reconstruction and initial cosmic rejection. A number of selection cuts utilizing TPC, CRT and PDS information have been developed to further reduce this background. Particles in the detector before or after the trigger time will have a shifted reconstructed X-position, most rejection methods involve finding the true crossing time (t0).

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
DOE OSTI2019

EVALUATION OF ALTERNATIVE FIBERS TO REPLACE NARC-RAYON FOR THE PRODUCTION OF CBCF

A unique Carbon Bonded Carbon Fiber (CBCF) insulation was developed to provide thermal protection to the isotopic fuel in Radioisotope Power Systems. The microstructure of CBCF is comprised of chopped and carbonized rayon fibers bonded at intersections by carbonized phenolic resin. Production of CBCF insulation at ORNL has been sustained for the past three decades by a single lot of rayon purchased from North American Rayon Corporation (NARC) of Elizabethton, TN in 1987. NARC ceased operations in 1996. Although ORNL has a seven-to-ten-year supply of rayon at the current rate of consumption, an effort has been initiated to identify a new source to meet long-range needs. A summary of findings from the ongoing search for a fiber to replace NARC rayon for production of CBCF is presented.

Gallego, Nidia↗
DOE OSTI2019

Renewable Energy Technologies for the Energy Transition

Advances in renewable energy technologies have enabled the U.S. energy mix to begin a remarkable transition. This presentation highlights renewable energy technology trends and potential advances in how renewable energy intersects with other sectors, including oil & gas, hydrogen, agriculture, and material recovery.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗
DOE OSTI2018

Predicting Hydraulic Fracture Trajectory Under the Influence of a Mine Drift in EGS Collab Experiment I

Experiment I of the EGS Collab project entails drilling largely horizontal wellbores in phyllite of the Precambrian Poorman formation, at the Sanford Underground Research Facility (SURF), located at the former Homestake Gold Mine, in Lead, South Dakota, and creating/stimulating hydraulic fractures from one of the wellbores. The stimulation well was drilled from the old mine drift at the 4850 level (4850 feet deep from ground surface) along the minimum in situ principal stress direction and the fracture initiation point is approximately 40 m from the drift. An essential component of the experiment design is to predict the trajectory of the hydraulic fractures so that the production and monitoring wells can be drilled accordingly and precautionary measures can be taken to prevent the fracture from intersecting the drift. Through thermo-hydro-mechanical (THM) coupled simulation of the cooling and drainage history experienced by the drift, we calculate the temperature, pore pressure, and stress distributions around the drift. The calculated temperature is validated against measurements along existing vertical wells. The simulation results suggest that the cooling of the rock around the drift has caused very significant thermal stress with magnitudes up to several MPas near the fracture initiation point. The minimum principal stress decreases rapidly from this point toward the drift. A fully coupled hydraulic fracturing simulation indicates that the fracture would have a strong tendency to propagate toward the drift, driven by the radial gradient of the minimum principal stress. The fracture will remain planar until it curves and becomes parallel to the drift when the fracture front is a few meters from the drift. The role of these simulation results is twofold in the EGS Collab experiment: they guide experiment designs and will be used to validate the simulation codes against the actual experiment results.

Hydraulic fracturing, enhanced geothermal system, ↗
DOE OSTI2019

Clean Energy Technologies for Oil & Gas Industry Operations

The declining prices of renewable energy technologies is an opportunity to potentially provide clean power and heat to industrial sectors, such as oil and gas, enabling more efficient production and use of resources. This presentation covers energy technology markets and JISEA programs on the intersection of renewable energy and oil and gas operations, including upstream extraction, midstream delivery, and refining.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗
DOE OSTI2019

Receivers for concentrating solar power generation

A device is describe for collecting energy in electromagnetic radiation, where the device includes a first panel that includes a first height, a first end, and a second end such that a first length is defined between the first end and the second end. The device further includes a second panel that includes a second height, a third end, and a fourth end such that a second length is defined between the third end and the fourth end. In addition, the first height and the second height are substantially parallel to a reference axis, the first end and the third end intersect to form a leading edge that is substantially parallel to the reference axis, and the first panel and the second panel form a channel positioned between the first panel and the second panel. Further, the channel is configured for the flow of a first heat-transfer medium through the channel, and at least a part of the first panel and at least a part of the second panel are configured to absorb electromagnetic radiation to transfer energy from the electromagnetic radiation to the first heat-transfer medium.

Ma, Zhiwen↗
DOE OSTI2019

Integrating Data Science Methods and Life Cycle Assessment (LCA): Application to the Power Sector - ISSST2019

This work was presented at the International Symposium on Sustainable Systems and Transportation (ISSST) 2019 Conference in Portland, OR on June 26, 2019. Data science is radically transforming the scientific landscape. Data-intensive frameworks such as LCA can uniquely benefit from the establishment of large-scale and national datasets, and the use of data-science methods. Additionally, the synthesis and application of these data repositories in LCA can aid in improving emissions inventories, technological characterization of product systems, and uncertainty quantification. In this work, a series of case studies are used to explore the intersection of data science and LCA of the power sector. The objective of this work is to provide a broad cross-section of data sources, methods, and approaches that have been applied to characterize the life cycle of power systems, but are generalizable across multiple LCA research domains.

Littlefield, James↗
DOE OSTI2019

Energy storage device and related methods

The present disclosure relates to energy storage devices having: a sealed container configured to house a plurality of energy storage devices and enable electrical communication via terminals of the sealed container and a vent located on a periphery of the sealed container. The vent generally comprises a vent panel; a countersink located adjacent the vent panel; at least one score located in the countersink; a buckling initiator at least partially located on the countersink, where the buckling initiator is configured to intersect with the at least one score; and a hinge portion attached to the vent panel, where the hinge portion is positioned opposite the buckling initiator.

Jarvis, Glenn W.↗
DOE OSTI2019

Circuit arrangement and technique for setting matrix values in three-terminal memory cells

A method for programming substantially simultaneously more than one of the three-terminal memory cells that represent the values of a matrix to be multiplied by a vector is disclosed. Programming may be achieved by controlling the gate-drain voltage for more than one cell simultaneously to change each such cell's physical state and hence its effective resistance. Illustratively, the gates of each row of the cells corresponding to the matrix are coupled together and each coupled row is coupled to a respective controllable voltage source while the drains of each column of the cells of the matrix are coupled together and each coupled column is coupled to a respective controllable voltage source. The controllable voltage sources are arranged so that at the intersection of a row and a column, a cell experiences one of three conditions: increase effective resistance, decrease effective resistance, or substantially no change.

97 MATHEMATICS AND COMPUTING↗
DOE OSTI2019

Emerging Technologies: Integrating with the Power Grid of Tomorrow

Traditional interactions between the built environment and the electric utility industry are changing rapidly. Rather than a one-way flow of electricity where utilities produce and transmit the electricity that buildings then consume, buildings are becoming efficient energy consumers that can dynamically adjust loads to ensure grid-provided energy is used effectively. Buildings are transitioning to now be at the intersection of forecasting loads and demand response, forecasting and control of output from distributed generation and renewable energy systems, and the optimal dispatch of energy storage. Because residential and commercial buildings consume 74.7% of the electricity generated in the United States, grid-integrated buildings represent an important solution to addressing challenges facing the power sector. In addition to the electric power grid, buildings will be increasingly interactive with water, transportation, and telecommunications networks, and will also more strongly affect surrounding buildings and other civic infrastructure.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2020

A Convergence of Public-Private Benefits in Denver: Surveys and Analyses to Inform Urban Mobility-, Energy-, Infrastructure- and Behavior-Related Innovation: Preprint

Cities, public transit agencies, and new private ride hailing services seek to understand emerging traveler dynamics, the shifting demographics of urban travelers,and new energy-efficient mobility opportunities. This includes exploring how new infrastructure investments, public and private mobility services, and smart-phone mobility apps are reshaping behaviors, demands (e.g. mobility-on-demand services), travel experiences and energy-efficient urban travel preferences. Currently, cities and metropolitan regions are providing and experimenting with many new mobility options, technologies, and personalized information services at the intersection of urban mobility, energy, and infrastructure systems (e.g., new commuter rail). To date, technology alone has not been able to crack the nut of 'creating faster trip times, less congestion, safer streets, and cleaner air for its citizens through fewer cars on the road'. This paper focuses on this gap by offering new concepts and potential for integrated approaches. Accommodating more vehicles miles traveled in cities, without increases in person miles traveled (PMT), could be costly, generating: 1) tremendous demands for new infrastructure, land, road space, materials, and energy; 2) higher traffic fatality risks; and 3) worsening air quality. Therefore, this study focuses on reducing single occupancy vehicle use by enhancing integrated mobility, helping transit and ridehailing increase occupancy in ways that also reduce energy use, and improve quality of life for urban travelers and communities. This study focuses on a survey of urban travelers in Denver, as a representative case study for metropolitan regions experiencing rapid growth, ageing populations, increased urban sprawl, traffic-related delays, and inefficient energy use per PMT.

24 POWER TRANSMISSION AND DISTRIBUTION↗
DOE OSTI2019

From Theory to Practice: Lessons Learned from an Advanced M&V Commercial Pilot

Advanced measurement & verification (M&V), or M&V 2.0, is an energy data analysis method using advanced metering infrastructure (AMI) data in combination with analytics to quantify energy efficiency project savings. Advanced M&V is viewed as an enabler for underutilized behavioral, retrocommissioning, and holistic multi-measure efficiency efforts, as quantifying savings for these programs with existing methods has typically been very challenging. Despite its promise, there are still several unanswered questions about the use of advanced M&V such as: How accurately can these tools quantify energy savings? How can advanced M&V satisfy regulatory requirements for rigorous savings estimates? Where and how does advanced M&V intersect with traditional impact evaluation and the principles of ‘embedded’ evaluation, measurement & verification (EM&V)? Pilots are being pursued in various regions and program contexts to address these research questions. However, results from these pilots are rarely made public, meaning that lessons may not be widely shared and the scope of analyses varies widely. The paper presents encouraging results from a recent advanced M&V pilot and discusses key process-related aspects such as managing AMI data and refining analysis methodologies. An approach to reviewing and classifying projects based on savings characteristics and magnitude is demonstrated, as a potential risk management tool. The authors also demonstrate how advanced M&V can identify underperforming projects and non-routine events in a timely manner. The paper also outlines lessons learned from this and other recent pilot activity and barriers to be overcome in moving toward the goal of widespread adoption of holistic meter-based programs.

Crowe, Eliot↗
DOE OSTI2019

A Research Agenda for Transforming Separation Science

Separation science plays a critical role in maintaining our standard of living and quality of life. Many industrial processes and general necessities such as chemicals, medicines, clean water, safe food, and energy sources rely on chemical separations. However, the process of chemical separations is often overlooked during product development and this has led to inefficiency, unnecessary waste, and lack of consensus among chemists and engineers. A reevaluation of system design, establishment of standards, and an increased focus on the advancement of separation science are imperative in supporting increased efficiency, continued U.S. manufacturing competitiveness, and public welfare. A Research Agenda for Transforming Separation Science explores developments in the industry since the 1987 National Academies report, Separation and Purification: Critical Needs and Opportunities. Many needs stated in the original report remain today, in addition to a variety of new challenges due to improved detection limits, advances in medicine, and a recent emphasis on sustainability and environmental stewardship. This report examines emerging chemical separation technologies, relevant developments in intersecting disciplines, and gaps in existing research, and provides recommendations for the application of improved separation science technologies and processes. This research serves as a foundation for transforming separation science, which could reduce global energy use, improve human and environmental health, and advance more efficient practices in various industries.

Chemical separation↗
DOE OSTI2018

The Center for Applied Physics and Superconducting Technologies (CAPST)

The Department of Energy’s Fermi National Accelerator Laboratory and Northwestern University have established a new collaboration that enhances both institutions’ scientific research portfolios. The Center for Applied Physics and Superconducting Technologies (CAPST) focuses on the science and applications of superconductivity, with expected advances in the fields of particle physics, solid-state physics, materials science, medicine, energy and environmental sciences. CAPST formally recognizes a broad intersection of scientific pursuits and complementary state-of-the-art facilities. The center lays the groundwork for the cross-utilization of technical expertise, facilities, and equipment and establishes a partnership that will foster joint scientific research, mentorship, and new opportunities for researchers, graduate students, and postdoctoral fellows.

36 MATERIALS SCIENCE↗