Green and durable engineered cementitious composites (GD-ECC) with recycled PE fiber, desert sand, and carbonation curing: Mixture design, durability performance, and life-cycle analysis
Not provided.
SEARCH · Engineering Papers
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.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Not provided.
Not Available
Not Available
Not provided.
Accurate model hindcast of wave climate in complex estuarine systems is challenging because high-resolution wave model and wind forcing are required. In this study, a modeling approach using the unstructured-grid Simulating WAves Nearshore and wind product from a high-resolution regional Weather Research and Forecasting hindcast was used to simulate the swell and wind-sea climate in the Salish Sea, a large estuary with many interconnected waterways on the Pacific Northwest coast of North America. The model hindcast was validated with observed data at four wave buoys in the Salish Sea. Spatial distribution and seasonal variations of wave climate in the Salish Sea were analyzed. Of the three major basins in the Salish Sea, the Strait of Juan de Fuca has the largest waves and is dominated by swells propagated from the Pacific Ocean. Significant wave heights in the Strait of Georgia have spatial and seasonal distribution patterns similar to those found in the Strait of Juan de Fuca. Waves in Puget Sound are small and primarily dominated by the wind-sea climate. Strong seasonal variations are observed in the Strait of Juan de Fuca and Strait of Georgia, but there is little seasonality of wave climate in Puget Sound. The high-resolution wave hindcast conducted in this study provides a comprehensive and important data set for better understanding the role of wave climate in coastal processes and natural hazards assessment in the Salish Sea.
Explore the source record for details and available documents.
Not provided.
Not Available
Not Available
Not provided.
Not provided.
Waste-to-energy (WTE) technologies provide opportunities to use waste materials beneficially in producing power, transportation fuels, and chemicals. Using a suite of economic models, this study estimates prices of four WTE resources: food waste; fats, oils, and greases (FOG); animal manure; and sewage sludge. Some of these materials are commoditized (e.g. FOG) thus their price is determined by market demand. For the materials regarded as waste, the study relates price to the avoided cost of disposal through waste management alternatives such as landfilling. This study finds that significant amounts of these feedstocks could be available at negative prices, meaning that a potential bioenergy facility could receive these materials for free or be paid to accept them in some locations. It is estimated that about 61% of sewage sludge, 27% of manure, and 7% of food waste may be available at negative prices. These negative price feedstocks are not uniformly distributed and are most likely to occur in areas with organic waste disposal bans, high population densities, and high landfill tipping fees. This study intends to open an initial discussion into how stakeholders view and value these materials, and how this view is evolving as their potential as WTE feedstocks is realized.