Wireless Meteorological Sensor Network

dc.contributor.author Carland, Justin Jeremiah
dc.date.accessioned 2016-05-02T22:46:45Z
dc.date.available 2016-05-02T22:46:45Z
dc.date.issued 2013-12
dc.description M.S. University of Hawaii at Manoa 2013.
dc.description Includes bibliographical references.
dc.description.abstract 1.1 History and motivation of the project In the spring of 2012, I was brought on the Wireless Meteorological Sensor Project as a research assistant under Dr. Anthony Kuh. My task was to be project manager for a team of undergraduates and continue the work of previous students, John Hirano and Trevor Wilkey. Our team consisted of students from both the electrical engineering department and the computer science department including Adam Oberbeck, Jimmy Cumming, and Monica Umeda. Our goal was to bring a proof of concept circuit design to a field deployable prototype sensor module. This module would measure various meteorological parameters such as barometric pressure, temperature, relative humidity, solar irradiance, and eventually wind speed and direction. These modules would potentially number 100+ modules wirelessly connected in a ZigBee mesh network. The purpose of the sensor network is to monitor in real time and data log the aforementioned parameters for weather modelling and prediction. Predicting weather parameters would assist in dealing with hurdles associated with the future installation of a multi MW solar array on University of Hawaii campus. Due to the intermittent nature of solar energy, it is important to assist our local utility, Hawaiian Electric Company (HECO) and UH campus facilities with the unpredictable fluctuation of power production from solar. By predicting weather conditions, it may be possible to anticipate the reduction and subsequent return of power production from the solar array. With this knowledge, electricity consumption could potentially be reduced in concert with the reduced local electricity production. These data would be useful in helping to solve many of the hurdles involved in the transition of the existing electrical grid to smart grid characteristics.
dc.identifier.uri http://hdl.handle.net/10125/100676
dc.language.iso eng
dc.publisher [Honolulu] : [University of Hawaii at Manoa], [December 2013]
dc.relation Theses for the degree of Master of Science (University of Hawaii at Manoa). Electrical Engineering.
dc.subject concept circuit design
dc.subject sensor module
dc.title Wireless Meteorological Sensor Network
dc.type Thesis
dc.type.dcmi Text
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