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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 1,495 records · Page 83
All sourcesNASA NTRSDOE OSTI
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↗
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? 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 OSTI2020

The Floating Chameleon: Floating Nuclear Power Plants and the Nexus of Maritime and Nuclear Security Law

During the 63rd regular session of the International Atomic Energy Agency (IAEA) General Conference, as part of Norway's statement to the General Conference, Mr. Auden Halvorsen, State Secretary for Norway, made the following statement about transportable nuclear power plants (TNPPs): "Deployment of transportable nuclear power plants—TNPPs—demands our attention. The Agency must intensify its conversations of all aspects of the safety and security of such facilities. . . . The scope and applicability of existing requirements and instruments need to be clarified and developed including dialogue with the International Maritime Organization [IMO]." Ensuring the security of TNPPs is essential for their deployment and implementation. TNPPs may be floating nuclear power plants (FNPPs), which bring together elements of nuclear security related to the nuclear power plant with elements of maritime security. Insofar as an FNPP weds the principles of nuclear and maritime security, it also weds the two domains, the ancient traditions and contemporary practices of maritime law with the contemporary practices of nuclear law. Fundamentally, this raises the question, what are the legal requirements for the security of a FNPP? Although both maritime law and nuclear law have established regimes for security through various legal instruments, does an FNPP expose gaps between the current international legal instruments? The previous question of whether international legal regimes define requirements for the security of FNPPs, but a threshold question remains: what is an FNPP? For purposes of nuclear and maritime security, is an FNPP a facility, is an FNPP a vessel and therefore a transport, or does an FNPP change its status based upon temporal and spatial considerations such as when it is docked at a port generating power or in transit to its destination? This set of questions, and others addressed later in this article, highlights that the issue is not merely a question about security but intersects elements of safety whether an FNPP is in uncharted waters of the international regime for both nuclear and maritime law. Here, this paper addresses many of the questions posed above related to the security regulations for an FNPP.

98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL P↗
DOE OSTI2020

A Review on Machine Learning for Neutrino Experiments

Neutrino experiments study the least understood of the Standard Model particles by observing their direct interactions with matter or searching for ultra-rare signals. The study of neutrinos typically requires overcoming large backgrounds, elusive signals, and small statistics. The introduction of state-of-the-art machine learning tools to solve analysis tasks has made major impacts to these challenges in neutrino experiments across the board. Machine learning algorithms have become an integral tool of neutrino physics, and their development is of great importance to the capabilities of next generation experiments. An understanding of the roadblocks, both human and computational, and the challenges that still exist in the application of these techniques is critical to their proper and beneficial utilization for physics applications. This review presents the current status of machine learning applications for neutrino physics in terms of the challenges and opportunities that are at the intersection between these two fields.

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
DOE OSTI2020

Spanning the Nexus: Integrated Energy Research on Agriculture & Water Challenges

This presentation will explore the land, food, water, and energy implications of changing energy systems. With an increase in solar development, there are potential conflicts between land use for solar and agricultural. Under the DOE’s InSPIRE project, researchers are gathering data and performing experiments for the co-location of solar development and the agricultural production of crops, pollinator habitat, and grazing. Initial findings from this project highlight mutual benefits for both farmers and the PV installation themselves, all while providing an avenue to reduce land use conflicts. Also, in this presentation, the intersection of water and energy systems will be explored. Energy production requires water and water treatment and transport requires energy. This presentation will highlight past work examining oil and gas water use and detail upcoming water treatment research within the National Water Alliance for Innovation (NAWI).

agriculture↗
DOE OSTI2019

Vectoring into Potential Blind Geothermal Systems in the Granite Springs Valley Area, Western Nevada: Application of the Play Fairway Analysis at Multiple Scales

The Great Basin region of the western USA is capable of generating much greater amounts of geothermal energy than currently produced. Most geothermal resources in this region are blind, and thus the favorable characteristics for geothermal activity must be synthesized and methodologies developed to discover new commercial-grade systems. The geothermal play fairway concept involves integration of multiple parameters indicative of geothermal activity as a means of identifying promising areas for new development. In the Nevada play fairway project, nine geologic, geochemical, and geophysical parameters were initially synthesized to produce a new geothermal potential map of 96,000 km2. Granite Springs Valley in western Nevada is a particularly promising site selected for detailed study. It contains several favorable structural settings, including terminations of major Quaternary normal faults and fault intersections. Geologic, geophysical, and geochemical techniques were employed to define the most likely sites for high permeability and select drilling targets for temperature-gradient holes. Local and intermediate permeability models were revised to reflect results of detailed analyses and generate new detailed play fairway maps of the area. The most promising site lies in the northeastern part of the basin directly east of Adobe Flat, where the horse-tailing termination of a major normal fault (as revealed by new gravity data), opaline sinter deposits, warm shallow wells, and a low-resistivity anomaly are collocated. Geothermometry suggests a blind system with temperatures as high as ~130°C in this area. Four new temperature-gradient holes document temperatures of ~80°C at ~150 m depth. Lessons learned in the detailed studies of this project include: 1) initially identified sites commonly include multiple favorable settings at a finer scale; 2) promising sites in Cenozoic basins cannot be well defined without detailed geophysical surveys; and 3) play fairway analysis is critical at multiple scales, providing a means to select regional prospects as well as vectoring into drilling targets at individual sites.

15 GEOTHERMAL ENERGY↗
DOE OSTI2018

Geophysical Investigations of a Blind Geothermal System in Southern Gabbs Valley, Nevada

Southern Gabbs Valley in west-central Nevada, is a blind geothermal system located 5 km north of the Gabbs Valley Range and ~15 km southeast of the Don A. Campbell geothermal power plant. Previous geologic, geophysical, and geochemical studies in the Nevada play fairway project had identified a favorable setting for a blind geothermal system, documented elevated subsurface temperatures, and established the structural framework of the area. Further high resolution geophysical surveys were therefore conducted to aid in characterizing both the intrabasinal structure of the area and potential geothermal system. A total of 480 gravity stations, 300 km of ground magnetic data, and 24 magnetotelluric (MT) stations were collected. These data support the previous interpretation that the thermal anomaly occurs at the intersection of two faults bounding an intra-basin gravity high, and also show that a conductive zone (potential cap) and magnetic low coincide with this anomaly. If the magnetic low is a result of hydrothermal alteration that has demagnetized the surrounding rock, this would suggest that this is a relatively long lived geothermal system, adding to the viability of the resource.

15 GEOTHERMAL ENERGY↗
DOE OSTI2017

A play fairway approach to geothermal exploration in Crescent Valley, Nevada

Crescent Valley received one of the highest favorability scores in phase I of the DOE-sponsored Nevada play fairway analysis project and was therefore selected for detailed study in phase II. As part of the detailed study, geological, geochemical, and geophysical data were collected, synthesized, and analyzed to identify favorable structural settings for geothermal fluids in the basin. A total of eight favorable structural settings were identified. Two host known geothermal systems, and six could potentially host blind geothermal systems. In phase II a predictive geothermal potential model was conducted for each favorable structural setting. The highest-ranking areas in Crescent Valley are in the Dann Hot Springs step-over (relay ramp), followed by the two northern step-overs along the Cortez Mountains front, as well as a fault intersection at Hot Springs Point.

15 GEOTHERMAL ENERGY↗