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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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This profile provides a snapshot of the energy landscape of Antigua and Barbuda, an independent nation in the Leeward Islands in the eastern Caribbean Sea. Antigua and Barbuda’s utility rates are approximately $0.37 U.S. dollars (USD) per kilowatt-hour (kWh), which is above the Caribbean regional average of $0.33 USD/kWh.
This profile provides a snapshot of the energy landscape of Guadeloupe, an overseas region of France located in the eastern Caribbean Sea. Guadeloupe’s utility rates are approximately $0.18 U.S. dollars (USD) per kilowatt-hour (kWh), below the Caribbean regional average of $0.33 USD/kWh.
This profile provides a snapshot of the energy landscape of Haiti, an independent nation that occupies the western portion of the island of Hispaniola in the northern Caribbean Sea. Haiti’s utility rates are roughly $0.35 U.S. dollars (USD) per kilowatt-hour (kWh), above the Caribbean regional average of $0.33 USD/kWh.
This profile provides a snapshot of the energy landscape of Guam, an island territory of the United States located in the western Pacific Ocean. Guam’s electricity rates for residential customers start at $0.21 U.S. dollars (USD) per kilowatt-hour (kWh), above the average U.S. rate of $0.13 USD/kWh.1,2 Like
This profile provides a snapshot of the energy landscape of Palau, an independent island nation geographically located in the Micronesia region. Palau’s residential electricity rates are approximately $0.28 U.S. dollars (USD) per kilowatt-hour (kWh), more than twice the average U.S. residential rate of $0.13 USD/kWh.
This profile provides a snapshot of the energy landscape of American Samoa, the southernmost territory of the United States. American Samoa’s residential electricity rates are approximately $0.29 U.S. dollars (USD) per kilowatt-hour (kWh), more than twice the average U.S. residential rate of $0.13 USD/kWh.
This profile provides a snapshot of the energy landscape of the Commonwealth of the Northern Mariana Islands (CNMI), a commonwealth in political union with the United States that is located in the northern Pacific Ocean. CNMI’s electricity rates for residential customers range from $0.19 to $0.33 U.S. dollars (USD) per kilowatt-hour (kWh), above the average U.S. residential rate of $0.13 USD/kWh.
This profile provides a snapshot of the energy landscape of the Federated States of Micronesia, a sovereign nation and U.S.-associated state in the western Pacific Ocean. The Federated States of Micronesia’s electricity rates for residential customers exceed $0.48 U.S. dollars (USD)/per kilowatt-hour (kWh), nearly four times the average U.S. residential rate of $0.13 USD/kWh.
Efficient product purchases can really add up. In a single year, they could save the Federal Government almost a half billion dollars worth of energy. Every day, Federal employees and contractors make product choices. With each choice comes an opportunity to capture ongoing savings through the purchase of energy-efficient products. By purchasing products that exceed required efficiency levels, you save the government even more energy and money.
Today, the United States is faced with a national imperative to address the enormous challenge presented by climate change and to seize upon the multi-trillion dollar economic opportunity that a transition to a global clean energy economy will provide.
Climate change related extreme events (such as flooding, storms, and drought) are already impacting millions of people globally at a cost of billions of dollars annually. Hence, there are urgent needs for urban areas to develop adaptation strategies that will alleviate the impacts of these extreme events. However, lack of appropriate decision support tools that match local applications is limiting local planning efforts. In this paper, we present a quantitative analysis and optimization system with customized decision support modules built on geographic information system (GIS) platform to bridge this gap. This platform is called Urban Climate Adaptation Tool (Urban-CAT). For all Urban-CAT models, we divide a city into a grid with tens of thousands of cells; then compute a list of metrics for each cell from the GIS data. These metrics are used as independent variables to predict climate impacts, compute vulnerability score, and evaluate adaptation options. Overall, the Urban-CAT system has three layers: data layer (that contains spatial data, socio-economic and environmental data, and analytic data), middle layer (that handles data processing, model management, and GIS operation), and application layer (that provides climate impacts forecast, adaptation optimization, and site evaluation). The Urban-CAT platform can guide city and county governments in identifying and planning for effective climate change adaptation strategies.
The multibillion-dollar photovoltaic (PV) industry sells products by the watt; the calibration labs measure this parameter at the cell and module level with the lowest possible uncertainty of 1-2 percent. The methods and procedures to achieve a measured 50 percent efficiency on a thin-film solar cell are discussed. This talk will describe methods that ignore procedures that increase the uncertainty. Your questions will be answered concerning 'Everything you Always Wanted to Know about Efficiency Enhancements But Were Afraid to Ask.' The talk will cover a step-by-step procedure using examples found in literature or encountered in customer samples by the National Renewable Energy Laboratory's (NREL's) PV Performance Characterization Group on how to artificially enhance the efficiency. The procedures will describe methods that have been used to enhance the current voltage and fill factor.
In a single year, energy-efficient product purchases could save the federal government almost a half billion dollars worth of energy. By purchasing products that exceed the minimum required efficiency levels, buyers can save the government even more energy and money. Federal employees and contractors must take an active role in ensuring that the government receives products that meet efficiency requirements. This document provides an overview of product purchasing requirements and shows you how to write compliant contracts, find funding, and confirm product compliance.
Industrial biotechnology is at a pivotal point, with tremendous and ongoing growth in technology contributing to a rich pipeline of opportunities: new products; new and more sustainable ways to make established products; and improvements to existing products and processes. The trillion-dollar questions are: When will there be a commercial breakout in industrial biotech as there has been in biopharma and ag biotech? What advances in technology are needed to make that happen? This article is drawn from the Workshop on Technology Challenges and Opportunities in Commercializing Industrial Biotechnology, sponsored by AIChE’s Society for Biological Engineering (SBE) and held Sept. 28–29, 2015, in San Diego. The workshop brought together industrial biotech stakeholders to share — through presentations, case studies, interactive discussions, and exhibits — perspectives on the state of industrial biotech, as well as to address key areas for technology advancement to benefit commercialization.
SCinet is the purpose-built network that operates during the International Conference for High Performance Computing,Networking, Storage and Analysis (Super Computing or SC). Created each year for the conference, SCinet brings to life a high-capacity network that supports applications and experiments that are a hallmark of the SC conference. The network links the convention center to research and commercial networks around the world. This resource serves as a platform for exhibitors to demonstrate the advanced computing resources of their home institutions and elsewhere by supporting a wide variety of applications. Volunteers from academia, government and industry work together to design and deliver the SCinet infrastructure. Industry vendors and carriers donate millions of dollars in equipment and services needed to build and support the local and wide area networks. Planning begins more than a year in advance of each SC conference and culminates in a high intensity installation in the days leading up to the conference. The SCinet architecture for SC16 illustrates a dramatic increase in participation from the vendor community, particularly those that focus on network equipment. Software-Defined Networking (SDN) and Data Center Networking (DCN) are present in nearly all aspects of the design.
At the Hanford site, radioactive waste stored in underground tanks is slated for vitrification for final disposal. A comprehensive knowledge of the glass batch melting process will be useful in optimizing the process, which could potentially reduce the cost and duration of this multi-billion dollar cleanup effort. We are developing a high-fidelity heat transfer model of a Joule-heated ceramic lined melter to improve the understanding of the complex, inter-related processes occurring with the melter. The glass conversion rates in the cold cap layer are dependent on promoting efficient heat transfer. In practice, heat transfer is augmented by inserting air bubblers into the molten glass. However, the computational simulations must be validated to provide confidence in the solutions. As part of a larger validation procedure, it is beneficial to split the physics of the melter into smaller systems to validate individually. The substitution of molten glass for a simulant liquid with similar density and viscosity at room temperature provides a way to study mixing through bubbling as an isolated effect without considering the heat transfer dynamics. The simulation results are compared to experimental data obtained by the Vitreous State Laboratory at the Catholic University of America using bubblers placed within a large acrylic tank that is similar in scale to a pilot glass waste melter. Comparisons are made for surface area of the rising air bubbles between experiments and CFD simulations for a variety of air flow rates and bubble injection depths. Also, computed bubble rise velocity is compared to a well-accepted expression for bubble terminal velocity.
DOE EE002875 Technical Report Public Release. The objective was to leverage ICM’s pre-existing corn to ethanol pilot plant to build and to commission a fully functional pilot integrated cellulosic biorefinery. ICM’s Integrated Biorefinery (IBR) project was designed to achieve four major objectives. These primary goals were achieved during the performance period from December 2009 – August 2015. The design and construction phase took place from December 2009 until August 2011, with an increase in budget of nearly 4 million dollars. This increased cost was offset by operational changes, so the amount spent for the overall project increased by less than $500,000. There were three 1,000-hour performance test conducted, which produced cellulosic feedstock.
The Department of Energy (DOE) is currently investing millions of dollars annually into various modeling and simulation tools for all aspects of nuclear energy. An important part of this effort includes developing applications based on the open-source Multiphysics Object Oriented Simulation Environment (MOOSE; mooseframework.org) from Idaho National Laboratory (INL). Through the DOE and outside collaborators, MOOSE includes a large set of physics modules, including phase field, level set, heat conduction, tensor mechanics, Navier-Stokes, and porous media, among others. The phase-field module, in particular, is well-suited for micro-structure evolution simulations, including solidification, as shown in the figure. It was also used, in conjunction with the heat conduction module, to build a multiscale snow model (Pika) as presented at the 2014 International Snow Science Workshop (Slaughter et al., 2014). The snow science community should learn from the nuclear industry, and harness the enormous effort underway to build simulation tools that are open, modular, and share a common framework. In particular, MOOSE-based multi-physics solvers are inherently parallel, dimension agnostic, adaptive in time and space, fully-coupled, and capable of interacting with other applications. The snow science community must build on existing tools to enable collaboration between researchers and practitioners throughout the world, and advance the state-of-the-art in line with other scientific research efforts.