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Photovoltaic module performance and durability following long-term field exposure (open access)

Photovoltaic module performance and durability following long-term field exposure

Our investigations of both new and field-aged photovoltaic modules have indicated that, in general, today's commercially available modules area highly reliable product. However, by using new test procedures, subtle failure mechanisms have also been identified that must be addressed in order to achieve 30-year module lifetimes. This paper summarizes diagnostic test procedures, results, and implications of in-depth investigations of the performance and durability characteristics of commercial modules after long-term field exposure. A collaborative effort with U.S. module manufacturers aimed at achieving 30-year module lifetimes is also described.
Date: September 8, 1998
Creator: Ellibee, D. E.; Hansen, B. R.; King, D. L.; Kratochvil, J. A. & Quintana, M. A.
System: The UNT Digital Library
On-loom, real-time, noncontact detection of fabric defects by ultrasonic imaging. (open access)

On-loom, real-time, noncontact detection of fabric defects by ultrasonic imaging.

A noncontact, on-loom ultrasonic inspection technique was developed for real-time 100% defect inspection of fabrics. A prototype was built and tested successfully on loom. The system is compact, rugged, low cost, requires minimal maintenance, is not sensitive to fabric color and vibration, and can easily be adapted to current loom configurations. Moreover, it can detect defects in both the pick and warp directions. The system is capable of determining the size, location, and orientation of each defect. To further improve the system, air-coupled transducers with higher efficiency and sensitivity need to be developed. Advanced detection algorithms also need to be developed for better classification and categorization of defects in real-time.
Date: September 8, 1998
Creator: Chien, H. T.
System: The UNT Digital Library
Using Artificial Neural Networks to Assess Microbial Communities (open access)

Using Artificial Neural Networks to Assess Microbial Communities

We are evaluating artificial neural networks (ANNs) as tools for assessing changes in soil microbial communities following exposure to metals. We analyzed signature lipid biomarker data collected from two soil microcosm experiments using an autoassociative ANN. In one experiment, the microcosms were exposed to O, 100, or 250 ppm of metals, and in the other experiment the microcosms were exposed to O or 500 ppm of metals. The ANNs were able to distinguish between microcosms exposed and not exposed to metals in both experiments.
Date: September 8, 1998
Creator: Almeida, J. S.; Brand, C. C.; Palumbo, A. V.; Pfiffner, S. M. & Schryver, J. C.
System: The UNT Digital Library
Electrochemical Decontamination of Painted and Heavily Corroded Metals (open access)

Electrochemical Decontamination of Painted and Heavily Corroded Metals

The radioactive metal wastes that are generated from nuclear fuel plants and radiochemical laboratories are mainly contaminated by the surface deposition of radioactive isotopes. There are presently several techniques used in removing surface contamination involving physical and chemical processes. However, there has been very little research done in the area of soiled, heavily oxidized, and painted metals. Researchers at Los Alamos National Laboratory have been developing electrochemical procedures for the decontamination of bare and painted metal objects. These methods have been found to be effective on highly corroded as well as relatively new metals. This study has been successful in decontaminating projectiles and shrapnel excavated during environmental restoration projects after 40+ years of exposure to the elements. Heavily corroded augers used in sampling activities throughout the area were also successfully decontaminated. This process has demonstrated its effectiveness and offers several advantages over the present metal decontamination practices of media blasting and chemical solvents. These advantages include the addition of no toxic or hazardous chemicals, low operating temperature and pressure, and easily scaleable equipment. It is in their future plans to use this process in the decontamination of gloveboxes destined for disposal as TRU waste.
Date: September 8, 1998
Creator: Marczak, S.; Anderson, J. & Dziewinski, J.
System: The UNT Digital Library