Implementation Plan for NSE-wide-deployment of GRANTA Materials Intelligence: Proposed 4-year plan, plus capability support
Abstract not provided.
36 MATERIALS SCIENCE↗
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SECARB Phase III Anthropogenic Test Site Implementation Plan
As part of the Southeastern Regional Carbon Sequestration Partnership’s (SECARB) Phase III initiative, a test site and anthropogenic carbon dioxide (CO 2 ) source have been selected for a large-scale demonstration of CO 2 separation, capture and sequestration in southwestern Alabama. The project, referred to as the Anthropogenic Test, represents a major step toward demonstrating the viability of integrating carbon capture and storage to mitigate climate change. The CO 2 storage project will inject CO 2 captured from Alabama Power's1 Plant Barry, equivalent to emissions from 25 megawatts of generating capacity. The CO 2 will be captured at the plant, transported via a short pipeline to Citronelle oilfield, and injected into brinesaturated Paluxy Formation sandstones at depths of approximately 9,400 to 10,500 ft. The Citronelle field is a working and actively maintained oilfield and provides the project team with a wealth of geophysical information as well as a pre-existing infrastructure to the project. However, completion practices employed in the field eliminates the use of a pre-existing well as the project’s primary injection well. This report outlines the major components of field operational activity and corresponding planning development for safe and reliable project performance: - Existing Infrastructure and Surface Facilities Construction; - Well Construction and Operations; - CO2 Injection; - Area of Review; - Monitoring, Verification and Accounting; - Project Closure.
01 COAL, LIGNITE, AND PEAT↗
ASC FY2023 Implementation Plan Revision 0
The DOE National Nuclear Security Administration (NNSA) Stockpile Stewardship Program (SSP) is an integrated technical program for maintaining the safety, security, and reliability of the U.S. nuclear stockpile. The SSP incorporates nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. The suite of data analyzed comes from activities including previous nuclear tests, stockpile surveillance, experimental research, and development and engineering programs. This integrated national program requires the continued use of experimental facilities and the computational capabilities to support the SSP missions. These component parts, in addition to an appropriately scaled production capability, enable NNSA to support stockpile requirements. The ultimate goal of the SSP, and thus of the Advanced Simulation and Computing (ASC) Program, is to ensure that the U.S. maintains a safe, secure, and effective strategic deterrent.
97 MATHEMATICS AND COMPUTING↗
Equitable Solar Access Project: Implementation Plan for Low- and Moderate-Income Community Solar Deployment in Minnesota
This report serves as a plan of action to guide the development of an innovative community solar model which will be accessible to and inclusive of low- and moderate-income Minnesotans.
14 SOLAR ENERGY↗
Wisconsin’s Inclusive Solar Community Offering (WISCO): Implementation Plan Designed to Bring Community Solar Options to Low- and Moderate-Income Communities in Wisconsin
This report serves as a plan of action to guide the development of an innovative community solar model that is accessible to and inclusive of low- and moderate-income Wisconsinites.
14 SOLAR ENERGY↗
Advanced Simulation and Computing: ASC FY24 Implementation Plan
The DOE National Nuclear Security Administration (NNSA) Stockpile Stewardship Program (SSP) is an integrated technical program for maintaining the safety, security, and reliability of the U.S. nuclear stockpile. The SSP incorporates nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. The suite of data analyzed comes from activities including previous nuclear tests, stockpile surveillance, experimental research, and development and engineering programs. This integrated national program requires the continued use of experimental facilities and the computational capabilities to support the SSP missions. These component parts, in addition to an appropriately scaled production capability, enable NNSA to support stockpile requirements. The ultimate goal of the SSP, and thus of the Advanced Simulation and Computing (ASC) program, is to ensure that the U.S. maintains a safe, secure, and effective strategic deterrent. The ASC program is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification process, study advanced nuclear weapons design and manufacturing processes, analyze accident scenarios and weapons aging, and provide the tools to enable stockpile Life Extension Programs (LEPs) and the resolution of Significant Finding Investigations (SFIs). This work requires a balance of resources, including technical staff, hardware, simulation software, and computer science solutions. The ASC program focuses on increasing the predictive capabilities in a three-dimensional (3D) simulation environment while maintaining support to the SSP. The Program continues to improve its unique tools for understanding and solving progressively more difficult stockpile problems (sufficient resolution, dimensionality, and scientific details), and quantifying critical margins and uncertainties. Resolving each issue requires increasingly difficult analyses because the aging process has progressively moved the stockpile further from the original test base. While the focus remains on the U.S. nuclear weapons program, where possible, the Program also enables the use of high-performance computing (HPC) and simulation tools to address broader national security needs, such as foreign nuclear weapon assessments and nuclear counterterrorism. The 2022 Nuclear Posture Review (NPR) calls for NNSA to “deliver a modern, adaptive nuclear security enterprise based on an integrated strategy for risk management, production-based resilience, science and technology innovation, and workforce initiatives.” Furthermore, “NNSA will establish a Science and Technology Innovation Initiative to accelerate the integration of science and technology (S&T) throughout its activities.” Executing this strategy necessitates the continued emphasis on developing and sustaining high-quality scientific and engineering staff, as well as supporting computational and experimental capabilities. These components constitute the foundation of the nuclear weapons program. The continued success of the SSP and LEPs is predicated upon the ability to credibly certify the stockpile, without a return to underground nuclear tests (UGTs). Shortly after the nuclear test moratorium entered into force in 1992, the Accelerated Strategic Computing Initiative (ASCI) was established to provide an extensive simulation capability to underpin stockpile certification. While computing and simulation have always been essential to the success of the nuclear weapons program, the program goal of ASCI was to execute NNSA’s vision of using these tools in support of the stockpile stewardship mission. The ASCI program was essential to the successful demonstration of the SSP, providing critical nuclear weapons simulation and modeling capabilities. ASCI officially evolved into the ASC program in fiscal year (FY) 2005, but the mission remains essentially the same: provide the simulation and computational capabilities that underpin the ability to maintain a safe, secure, effective nuclear weapon stockpile, without returning to underground nuclear testing. The capabilities that the ASC program provides at the national laboratories play a vital role in the nuclear security enterprise and are necessary for fulfilling the stockpile stewardship and life extension requirements outlined for NNSA. The Program develops modern simulation tools that provide insights into stockpile aging issues, provide the computational and simulation tools that enable designers and analysts to certify the current stockpile and life-extended nuclear weapons, and inform the decision-making process when any modifications in nuclear warheads or the associated manufacturing processes are deemed necessary. Furthermore, ASC is enhancing the predictive simulation capabilities that are essential to evaluate weapons effects, design experiments, and ensure test readiness. The ASC program continues to improve its unique tools to solve stockpile problems— with a focus on sufficient resolution, dimensionality, and scientific detail—to enable Quantification of Margins and Uncertainties (QMU) and to resolve the increasingly difficult analyses needed for stockpile stewardship. The needs of the Stockpile Management and Production Modernization programs (formerly Directed Stockpile Work) also drive the requirements for simulation and computational resources. These requirements include planned LEPs, stockpile support activities, and mitigation efforts against the potential for technical surprise. All of the weapons within the current stockpile are in some stage of the life extension process. The simulation and computational capabilities are crucial for successful execution of these life extensions and for ensuring NNSA can certify these life-extended weapons without conducting a UGT.
97 MATHEMATICS AND COMPUTING↗
Los Alamos National Laboratory Transit Service Implementation Plan
In 2021, Los Alamos National Laboratory (LANL) partnered with Nelson\Nygaard Consulting Associates to conduct the LANL Transit Options Study in preparation for Laboratory expansion plans. When the study started, LANL was expected to grow by 3,000 employees over the next several years. Most of that growth has already taken place. Sixty percent of employees commute from outside of Los Alamos County, and with limited housing capacity in Los Alamos, most of the new employees are expected to live outside of Los Alamos County as well.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DARHT Capability eXpansion (DCX): Overview of Strategy, Implementation Plan, and Upcoming Activities
Explore the source record for details and available documents.
Laity, George Russell↗
Advanced Simulation and Computing: FY25 Implementation Plan
The DOE National Nuclear Security Administration (NNSA) Stockpile Stewardship Program (SSP) is an integrated technical program for maintaining the safety, security, and reliability of the U.S. nuclear stockpile. The SSP incorporates nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. The suite of data analyzed comes from activities including previous nuclear tests, stockpile surveillance, experimental research, and development and engineering programs. This integrated national program requires the continued use of experimental facilities and the computational capabilities to support the SSP missions. These component parts, in addition to an appropriately scaled production capability, enable NNSA to support stockpile requirements. The ultimate goal of the SSP, and thus of the Advanced Simulation and Computing (ASC) program, is to ensure that the U.S. maintains a safe, secure, and effective strategic deterrent.
97 MATHEMATICS AND COMPUTING↗
Material protection, accounting and control technologies (MPACT): implementation plan
Abstract Not Provided
29 ENERGY PLANNING, POLICY, AND ECONOMY↗
SNL Capabilities Update and Integration with the Implementation Plan.
Abstract not provided.
Cipiti, Benjamin B.↗
IMPLEMENTATION PLAN FOR THE AMS AND NRPA JOINT SURVEY
To be used for results and report discussion with Norwegian team in beginning of June 2019
99 GENERAL AND MISCELLANEOUS↗
K-AREA SIX-YEAR AUTOMATION IMPLEMENTATION PLAN
Explore the source record for details and available documents.
KOENIG, RICHARD E.↗
Prioritizing Acquisition Pathways in the State Level Concept
The International Atomic Energy Agency's (IAEA) Department of Safeguards has launched a project to further develop the State-level concept for the planning, implementation, and evaluation of safeguards activities. In order to further evolve the safeguards system an emphasis is placed on integrating inspection-related activities and the State evaluation process to draw safeguards conclusions in the most efficient way. The credible implementation of acquisition pathway analysis is central to the success of the IAEA's State-level concept. NNSA's Office of Nuclear Safeguards and Security (NA-241) The Next Generation Safeguards Initiative (NGSI) is sponsoring Los Alamos National Laboratory (LANL) to produce a study that will examine the use of acquisition pathway analysis in: (1) Developing a State-specific, State-level approach (SLA) and Annual Implementation Plan (AIP); (2) Maximizing the utility of the physical model; and (3) Supporting resource allocation decisions through a pathway prioritization. To deal with the challenge of developing an effective and efficient SLA, this study looks at: (1) Prioritizing proliferation pathways based on an assessment of a State's capabilities and assumed proliferation strategies; and (2) Relevant State behavior (e.g., transparency, cooperation, etc.) while avoiding subjective judgments about States themselves. The study makes use of case studies and concrete examples in order to illustrate how new concepts and approaches will be implemented, and how they may differ from more traditional safeguards approaches.
29 ENERGY PLANNING, POLICY, AND ECONOMY↗
EM Program Expectations on Implementation of DOE O 458: Radiation Protection of Public/Environment - 19553
DOE Order 458.1, Radiation Protection of the Public and Environment, was issued in 2011. DOE sites were given 18 months to implement. The revised Order promulgates requirements for property clearance actions and independent verification. DOE Order 458.1 allows for preapproved authorized limits for the clearance of property. However, when property with the potential to contain residual radioactive material does not meet preapproved authorized limits, an authorized limits package must be developed. The Order contains a range of requirements for demonstrating with reasonable assurance that dose constraints are met for any actual or likely future use of the property to be released. EM has developed a draft guidance document that provides the elements of an authorized limits package. These elements are used to review all authorized limits packages that are submitted to EM. Expected elements include property description and process knowledge documentation, current and likely future use, the conceptual site model, dose modeling methodologies, specific authorized limits, dose- or concentration-based constraints, collective dose estimate to the potentially exposed population, stakeholder communications, description of the As Low As Reasonably Achievable (ALARA) analysis, implementation plan, evaluation of difficult to assess surfaces, and independent verification plan. The draft guidance document also provides further explanation of the desired elements of an independent verification (IV) plan. An IV plan should describe the planning phase, implementation phase, assessment phase, and decision phase of an activity. The planning phase includes scope and cost, concurrent with cleanup contractor procurement, and review and approval of site radiological survey clearance program and IV program plans. The implementation phase assures sufficient collection of data and adjustment can be made as necessary. During the assessment phase, data and reports are reviewed, and coordination between the clean-up contractor and IV personnel occurs. A decision of whether or not the clearance actions need to be altered occurs during the decision phase. IV certification that the clearance action is complete also occurs during the decision phase. Issuance of the final guidance document is meant to improve the consultation process and minimize iterative interactions with EM. Standardizing and formalizing property clearance and IV actions also helps assure that cleanup actions are transparent and sustainable for future scrutiny. (authors)
12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗
2016-2020 Strategic Plan and Implementing Framework
The 2016-2020 Strategic Plan and Implementing Framework from the Office of Energy Efficiency and Renewable Energy (EERE) is the blueprint for launching the nation’s leadership in the global clean energy economy. This document will guide the organization to build on decades of progress in powering our nation from clean, affordable and secure energy.
Strategic, Plan, Framework, Vision, Clean Energy, ↗