Authors: J. Carland, A. Oberbeck, M. Umeda, J. Cumming, T. Wilkey, M. Fripp, A. Kuh, D. Garmire
Affilation: University of Hawaii at Manoa, United States
Pages: 762 - 765
Keywords: wireless sensor networks, smart grid
Existing electrical grid infrastructure designs cannot reliably handle large intermittent power production fluctuations. Providing an autonomous, self-powered, and easily deployable meteorological sensor network can provide the tools to help mitigate this issue. With proper data at a high enough spatial and temporal resolution, it can be possible to model and predict weather patterns in areas containing a high penetration of solar photovoltaic installations. When coupled with a battery or another energy storage technology, this predictive capability can lessen the effects of the peak load on a system and provide the consumer with feedback on when to conserve. Through utilizing rapid prototyping techniques, specifically in-house 3D printing and open-source technologies, a sensor module connected in a self-contained wireless network is reported. Parameters analyzed include temperature, pressure, humidity and solar irradiance. The modules are inexpensive, portable, and self-powered. Data is transferred on a selfcontained radio mesh network.
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