Josh Peterson

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Few means currently exist for home occupants to learn about their water consumption: <i>e.g.</i>, where water use occurs, whether such use is excessive and what steps can be taken to conserve. Emerging water sensing systems, however, can provide detailed usage data at the level of individual water fixtures (<i>i.e., disaggregated</i> usage data). In this(More)
The authors designed an electronic database of clinical questions (CQs) and medical evidence and implemented it in 2001-02 at Duke University Medical Center and the Veterans Administration Medical Center in Durham, North Carolina. This Web-based data collection system is called the Critical Appraisal Resource (CAR) and is still in operation. This report is(More)
A new publicly available data set was completed for use in validating models that estimate the performance of flat-plate photovoltaic (PV) modules. The data were collected for one-year periods at three climatically diverse locations (Cocoa, Florida; Eugene, Oregon; and Golden, Colorado) and for PV modules representing all technologies available in 2010 when(More)
Terrain patterns play an important role in determining the nature of water resources and related hydrological modelling. Digital Elevation Models (DEMs), offering an efficient way to represent ground surface, allow automated direct extraction of hydrological features (Garbrecht and Martz, 1999), thus bringing advantages in terms of processing efficiency,(More)
Methodology is described that uses relative measurements to estimate the degradation rates of PV modules in the field. The importance of calibration and cleaning is discussed. The number of years of field measurements needed to measure degradation rates with data from the field is cut in half using relative comparisons.
The direct normal spectral responsivity of the LI-COR photodiode pyranometer is examined, using DNI spectral data from a PMOD Spectroradiometer and the generic spectral response of a LI-COR pyranometer. The spectral responsivity is found to vary over the day as more blue light is scattered as the air mass increases. The SMARTS2 model is used to examine the(More)
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