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The purpose of this special briefing paper is to support the objective by providing information about current and upcoming efforts being conducted by U.S. standards and model code developing organizations, specifically code changes associated with the 2018 Group B International Codes (I-Codes) of the International Code Council (100)2 that are relevant to Energy Storage System Safety (ESS)s .
An overview is given in the following areas: mission, vessel descriptions, current hemispherical needs, contract overview and structure, qualifications necessary, technical requirements summary, timeline, and contacts.
Over the last decade, Machine Learning (ML) technologies have slowly made their way into the accelerator community. Rapid advances in recent years in deep learning, particularly reinforcement learning for control system applications and the accessibility of deep learning in embedded hardware, have generated renewed interest and spawned a number of applications. The Fermilab Accelerator Complex, shown in Fig. 1, has provided High Energy Physics (HEP) experiments with proton beams for nearly fifty years. The current focus of the laboratory is its world-class experimental program at the intensity frontier. While increasing beam intensity certainly presents its own challenges, preserving beam size while minimizing beam losses – particles lost through interactions with the beam vacuum pipe – turns out to be, in many ways, the main challenge. The accelerator is controlled via a complex system of hundreds of thousands of devices. Enabling fine tuning and real-time optimization of their parameters using ML methods and stepping beyond experience-based reasoning of human operators are key to the success of future intensity upgrades. Our objective will be to integrate ML into accelerator operations and furthermore, provide an accessible framework, which can also be used by a broad range of other accelerator systems with dynamic tuning needs.
Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. The Laboratory strives to enhance national security and make the world safer through research and advances in innovative science and technology. The Lab inspires the talent of its workforce and the region to solve problems related to defense, energy, environment, infrastructure, health, and global security concerns. LANL currently employs 11,700 and anticipates hiring 1000 plus people this year. The LANL mission is critical to meeting military requirements to ensure the U.S. nuclear deterrent is modern, responsive, and resilient. LANL is designated by NNSA as the nation’s Plutonium Center of Excellence. LANL has an experienced and skilled workforce, high-hazard nuclear facilities and associated infrastructure, and unique plutonium processing, fabrication, and experimental capabilities.
This report summarizes current knowledge of natural and cultural resources associated with potential land use changes within an 81-acre (32.8-hectare) parcel, termed SSP-2A, on the US Department of Energy’s (DOE’s) Oak Ridge Reservation (ORR) in Oak Ridge, Tennessee (Figure 1). A primary goal for the work presented here was to evaluate potential impacts to sensitive resources within the SSP-2A parcel that might result from land disturbance and construction of the Oak Ridge Enhanced Technology and Training Center (ORETTC). In addition to on-the-ground surveys of the ORETTC footprint and SSP-2A parcel during summer 2020 (Figure 1), this report leverages historical (pre-1995) and contemporary (1995–present) data from additional sources such as the Tennessee Department of Environment and Conservation (TDEC). The individuals who obtained and compiled the data that are presented here are familiar with and routinely assess, manage, and research sensitive resources on the ORR. This report should facilitate more environmentally sound decisions during planning and development of the ORETTC, provide a foundation for further assessment of sensitive and cultural resources associated with the broader SSP-2A parcel (should additional actions take place), and help project managers address regulatory guidance and DOE policy on sustainable development. Those who reference this report must consider that the timing of surveys does not permit complete delineation of resources. Data deficiencies are indicated where possible. Additional surveys may be required to account for seasonal patterns of various threatened and endangered species (e.g., bats), and additional assessment will be required if activities extend beyond the ORETTC site (Figure 2).
10 CFR Part 830, Subpart B, Appendix A, Table 2 lists acceptable methodologies for development of a Documented Safety Analysis (DSA) for various types of nuclear facilities. The acceptable methodology listed for a DOE reactor is U.S. Nuclear Regulatory Commission Regulatory Guide 1.70, Standard Format and Content of Safety Analysis Reports for Nuclear Power Plants, or successor document. This document was developed for large commercial light-water power reactors. The difference between the Transformational Challenge Reactor (TCR) and commercial reactors in power output, radiological source term, fuel type and composition, and operational life span makes application of the Regulatory Guide to the TCR overly burdensome relative to the value added.
Niowave, Inc., is a domestic supplier of medical and industrial isotopes from uranium (U) and radium (Ra). The company has recently entered into a cooperative agreement with the U.S. Department of Energy’s National Nuclear Security Administration (NNSA) and plans to deploy a superconducting electron accelerator (LINAC) to fission U for molybdenum-99 ( 99 Mo) production without the need for a nuclear reactor or highly enriched uranium (HEU). NNSA provided funding to the Savannah River National Laboratory (SRNL) to support Niowave in this effort. SRNL evaluated the application of the solvent washing process for Niowave.
The Main Shutter at HB4 will serve two purposes after the HFIR Beryllium Reflector Replacement planned to take place in 2024. First as the primary certified safety control controlling the passage of neutrons from the cold source in the HFIR pressure vessel into the cold guide hall, and second as the first set of reflecting surfaces used to guide neutrons from the source and into the individual guide starts for each instrument in the cold guide hall.
This document describes results from a grant studying the role of fire in the Earth system, as a source of nutrients to land and marine ecosystems. Iron is a nutrient that often limits plant growth in the oceans. Wildfires, as well as the combustion when we are burning fossil fuels, releases iron to the atmosphere that can later be deposited on the oceans, fueling plant growth.
The purpose of this book is to profile, chapter by chapter, each of the 18 Nobel laureates who contributed to the laboratory’s wartime efforts. Through narrative, nonfiction profiles with fascinating historical photos and documents, readers will learn who these scientists were, what they accomplished, and why it mattered. The goal of this book is to educate readers by creating a published chronicle of this important history based on documents and photographs that are a part of the Los Alamos National Laboratory’s National Security Research Center. These 18 scientists have two things in common: their wartime work at Los Alamos and their Nobel Prizes. For the first time ever, both are presented as one story.
The purpose of this book is to profile, chapter by chapter, each of the 18 Nobel laureates who contributed to the laboratory’s wartime efforts. Through narrative, nonfiction profiles with fascinating historical photos and documents, readers will learn who these scientists were, what they accomplished, and why it mattered. The goal of this book is to educate readers by creating a published chronicle of this important history based on documents and photographs that are a part of the Los Alamos National Laboratory’s National Security Research Center. These 18 scientists have two things in common: their wartime work at Los Alamos and their Nobel Prizes. For the first time ever, both are presented as one story.
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Isocontours of Q-criterion with velocity visualized in the wake for two NREL 5-MW turbines operating under uniform-inflow wind speed of 8 m/s. Simulation performed with the hybrid-Nalu-Wind/AMR-Wind solver.
The goal of the ExaWind project is to enable predictive simulations of wind farms comprised of many megawatt-scale turbines situated in complex terrain. Predictive simulations will require computational fluid dynamics (CFD) simulations for which the mesh resolves the geometry of the turbines, capturing the thin boundary layers, and captures the rotation and large deflections of blades. Whereas such simulations for a single turbine are arguably petascale class, multi-turbine wind farm simulations will require exascale-class resources.
Identifying and planning preservation and curation activities associated with geospatial data will improve the ability of the U.S. Department of Energy Office of Legacy Management (LM) to support their core mission of protecting human health and the environment. This report documents the development LM's strategy for preserving and curating geospatial data within the context of LM's data-lifecycle-management framework. The strategy consists of preservation and curation elements, specific activities, and key enabling factors that ensure LM's geospatial data is maintained. Preservation elements enable the effective preservation of LM's geospatial data and recognizes that strategies need to be flexible to adapt to ongoing changes in scale, technology, and standards. Key enabling factors are intended to highlight critical data management responsibilities that must be addressed by LM to meet its preservation and curation objectives. A summary of best practices for geospatial data preservation is provided as part of the strategy.