Green Intelli Campus Using Radio Frequency Technology

Abstract

To strategically reduce the carbon foot print of a chosen campus using RFID tags to monitor and manage the daily energy consumption pattern of the campus. In today’s world, the need of the hour is to reduce the carbon foot print (CFP) in our day to day activities since higher carbon foot print means more global warming and green house gas (GHG) accumulation over a period of time. From fossil fuels to bio fuel/solar and wind, from public transport to sustainable metro transit grid, from a dream home to dream community and from a energy intense campus to a green and eco friendly campus. As one can see today many educational institutions have campuses which have activities which are isolated in terms of communication with its members. The objective of this proposal is to bring a sustainable integrated eco system model through innovative and CFP reducing processes. To work on this model an intelligent communication channel is established the efficiency of the campus and its potential is increased exponentially through a dynamic bi-directional feedback system. The system proposed here is perhaps affordable, accessible and adaptable and can be applied to about 5k – 10k population in an 8 hour cycle. The purpose is that an established system gives a constant feedback to each of its members on various multifarious activities. When a member of the campus wearing the RFID tag enters the campus, the person is immediately updated of the day’s events via a text message. The same applies for when the student walks into a specific department. However in these systems the reliability and confidentiality and the management of the database is critical. By incorporating cycling and validating and sustaining it through an automated system the use of fossil fuel based locomotives can be greatly reduced. Further validation can be done by RFID tags coupled with sensors of high precision and accuracy and reproductively. The number of hours a student logs in for reducing the carbon credit will also be acknowledged. All this can be done using the CCRA (Carbon credit reducing algorithm) which is explained in the following sections.