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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 541 records · Page 30
All sourcesNASA NTRSDOE OSTI
DOE OSTI2021

Environmentally-Friendly Fixatives with Embedded Intelligence for Dust Management at Contaminated Sites – 21266

Wind or rain can potentially spread loose hazardous contaminants from piles of rubble and soil waiting to be trucked to a landfill site for disposal. Water, which is plentiful near remediation sites, is the traditional dust suppressant during demolition, post-demolition sizing and encapsulation as well as soil trucking activities. However, water can mobilize the toxic metal contaminants in the soil into the ground water. Ground water is highly regulated and contaminant removal is costly. InnoSense LLC (ISL) is developing DustSafe™ as a cost-effective alternative to water for various decontamination & decommissioning (D&D) applications. It is a sprayable dust abatement solution designed to actively trap, remediate, and aid in visualizing hazardous materials while preventing their dispersion by wind, water or impact. Aside from application as a dust suppressant to trap airborne toxic and radiological hazards during demolition activities, with customization DustSafe can be used to locate/characterize and remediate hazards prior to D&D activities.

54 ENVIRONMENTAL SCIENCES↗
DOE OSTI2022

The Lab-Embedded Entrepreneurship Program (LEEP)

Addressing climate change, sustainability, and social justice cannot be based solely on deployment of existing technologies. New innovations, derived from massive U.S. investments in basic and applied energy research at universities and the national labs, are critically needed to achieve net-zero carbon missions by 2050.

LEEP, Chain Reaction Innovations, Innovation Cross↗
DOE OSTI2022

Case Study - Intentional Inclusion: How embedding inclusion into the fabric of Idaho National Laboratory positioned the organization for a sustainable future

Idaho National Laboratory, a Department of Energy national laboratory headquartered in Idaho Falls, Idaho, set out to embed inclusion into every aspect of its organization. The goal was to ensure the laboratory is a place where everyone feels they are valued, belong and can bring their best selves to work each day. The laboratory viewed inclusion as a journey in which a consistent, collective commitment to intentional decision-making and incremental progress ultimately achieves amazing results. INL’s intentional inclusion strategy has allowed the organization to: • Retain and build a next-generation workforce to transform the world’s energy future and secure the nation’s most critical infrastructure. • Lead inclusively through individual, team-based, and labwide actions that elevate organizational effectiveness. • Grow laboratory cultural acumen by establishing a clear connection between inclusion and mission success. This case study shares how INL brought employees along on the inclusion journey and inspired everyone to keep moving forward together.

99 GENERAL AND MISCELLANEOUS↗
DOE OSTI2022

Development and Validation of Resistance-Capacitance Model (RCM) for Phase Change Material (PCM) Embedded in 3D Periodic Structures

The low thermal conductivity of Phase Change Materials (PCM) can be improved with extended surfaces such as additively manufactured 3D periodic lattice structures. Three different aluminum alloy-based lattices (base sizes 10, 20, and 40 mm) with average porosity of 0.95 filled with paraffin wax, with a nominal phase change temperature of 55°C, were experimentally investigated. In this work, a computationally efficient 2D Resistance Capacitance-based model (RCM) was developed for predicting the thermal characteristics of these geometries. Non-uniform porosity in the PCM-metal domain was estimated using image processing and served as model input. The solver does not solve for higher-order physics as in CFD but still can provide a good prediction of thermal resistance and energy storage at a very low computational cost. The simulation-to-real-time factor for this geometry is of the order of 10-4, while CFD simulations typically have a real-time factor greater than 1. The model was validated against the experimental data for melting under three different heat fluxes (6250 W/m2, 12500 W/m2, and 18750 W/m2). The mean deviation of the predicted average PCM temperature was between 1.34 K-2.81 K for different cases. The maximum average temperature deviation of 5.45 K was observed for the 20 mm geometry at the highest heat flux test condition. The effects of natural convection were neglected in the model, but the predicted PCM temperature and energy storage still showed good agreement with the experimental data.

25 ENERGY STORAGE↗