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Systematic Analysis of Drivers and Barriers of Cross-Sectorial Learning Between Nuclear and Oil and Gas Decommissioning Projects - 20139
Project and megaproject management in the energy sector have historically focused on the planning and delivery of the construction of infrastructure. Therefore, policies are predominantly oriented to support the construction of infrastructure rather than its decommissioning. However, globally, several facilities have reached (or will soon reach) their end-of-life and need to be decommissioned. These facilities span across the energy sector, including nuclear power plants and oil and gas rigs, whose decommissioning present unprecedented techno-socio-economic challenges. Moreover, globally, their decommissioning cost is estimated to reach hundreds of billions of US dollars and this budget keeps increasing, with limited knowledge-transfer across industries to mitigate the spiraling increase of this figure. Cross-sectorial knowledge-transfer is a way to tackle this matter and improve the planning and delivery of decommissioning and waste management projects. The aim of this research is to build a road-map based on cross-sectorial industrial experience, designed to promote the sharing of good practices between projects both within and across industries dealing with major decommissioning and waste management challenges. To reach this aim, the tacit knowledge of senior practitioners on several large scale nuclear and oil and gas decommissioning projects is made explicit by the means of semi-structured interviews, systematically analyzed through directed content analysis. The results of this analysis include a list of good practices that could and should be transferred to nuclear decommissioning projects, including the need to promote the adoption of incentives explicitly linked to the project deliverables, and to develop long-term plans to support smooth transition from operations to decommissioning. Suggestions about how the knowledge-transfer can be promoted within and across organizations are also discussed. In this way, this research provides practical guidance for project managers and policymakers on how to support the planning and delivery of projects with improved performance. (authors)
Malcolm: Lowering the Barrier to Entry for Establishing a Secure Cybersecurity Posture
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Additive Manufacturing of ODS Steel Claddings with an Integral Diffusion Barrier
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Low Cost, High Performance SiC Junction Barrier Schottky Diodes for Grid Applications
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Object Detection of Components in a Radiograph for Treaty Verification Behind an Information Barrier
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Advancing Ceramic Matrix Composites and Environmental Barrier Coatings for Hydrogen Turbines: Challenges and Opportunities
The work highlights the need for new materials for efficient utilization of hydrogen in utility land-based power generation turbines. The article outlines key challenges and opportunities for further R&D along the innovation continuum to address challenges.
Ultrathin alkaline membranes with excellent hardness and gas barrier properties to achieve low ionic resistance and mechanical failure in high temperature water electrolyzers with low electrolyte
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Eliminating Commercialization Barriers of Affordable Vacuum Windows
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Real-time patch-clamp sensing of transport across a barrier tissue
The present disclosure relates to methods, apparatuses, and systems to measure one or more electrical signals from a cultured cell layer. In some embodiments, such electrical signals can be indicative of transport or lack of transport of an agent through the cell layer.
Thermal barrier coatings with CMAS resistance
A coating on a substrate is disclosed having layers including yttrium aluminum garnet (YAG) and yttrium aluminum monoclinic (YAM).
Progress Towards the Development of a Modular Reprogrammable Information Barrier for Arms Control Applications
Manuscript for INMM conference.
A Software-Based Information Barrier for Nuclear Arms Control
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Improving Trust in Information Barriers through Separate Provisioning of Hardware and Firmware
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Multicomponent Ceramic Barrier Coatings for Hydrogen Turbines
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Breaking the System Noise Barrier at Exascale
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FCCI Barrier Coating on U-10Zr Fuel
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Digital-Threat Bias and Psychological Distance: Barriers to Foundational Digital-Security Improvement
Modern life is held together by a web of digital dependencies that enable and provide delivery of critical services and functions—think the provision of utilities such as electricity and water, as well as our dependency on digital services for social and economic services (internet, communication, etc.). As this dependency grows, the complexity related to the delivery of these critical services increases as well. As complexity increases, the understanding of the risk and impact associated with potential disruption, degradation, or destruction—due to either malicious or non-malicious events of those digitally enabled functions—decreases. One potential explanation for the difficulty to 1) understand the risks faced and 2) address them appropriately and effectively is the abstractness and psychological distance assigned to “digital threat.” The complexity of these digitally enabled services creates a perceived complicatedness; as a result, digital threats are treated differently than similarly devasting (but more easily understood) kinetic or physical threats. How we categorize these threats also matters. Acts of cyber-enabled sabotage to critical infrastructure need to be defined as irregular warfare. By inadequately defining the threat, we compound the problem. Acknowledging this digital-threat bias is foundational to improving the ability to protect critical infrastructure. Using construal-level theory and psychological-distance concepts provides an intriguing starting point to address these issues, to reframe the challenges faced, and pursue more effective critical infrastructure security and defense policy.