Please use this identifier to cite or link to this item:
Wireless Meteorological Sensor Network
|Carland Justin r.pdf||Version for non-UH users. Copying/Printing is not permitted||2 MB||Adobe PDF||View/Open|
|Carland Justin uh.pdf||Version for UH users||2.08 MB||Adobe PDF||View/Open|
|Title:||Wireless Meteorological Sensor Network|
|Authors:||Carland, Justin Jeremiah|
|Keywords:||concept circuit design|
|Date Issued:||Dec 2013|
|Publisher:||[Honolulu] : [University of Hawaii at Manoa], [December 2013]|
|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.|
|Description:||M.S. University of Hawaii at Manoa 2013.|
Includes bibliographical references.
|Appears in Collections:||
M.S. - Electrical Engineering|
Please email email@example.com if you need this content in ADA-compliant format.
Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.