Karbon Footprinting

Overview

The Karbon Footprinting Demonstrator will provide a platform collaboration across a number of different groups within the core CLARITY CSET, as well as providing an opportunity for existing and new partners to participate in a substantial development opportunity.

The overall aim of the demonstrator is to provide a opportunity for small to medium scale carbon footprinting. In brief, a wide range of sensor technologies will be used to measure and analyse the energy consumption, activity, and waste management profiles of individuals and groups of individuals in both home and small-office environments.

The primary output will include a software platform that is designed to work with a variety of expandable set of readily available sensor types, allowing the real-time harvesting and analysis of sensor information. In addition, a number of application prototypes will be developed to explore different ways in which the resulting information can be presented to end users with a view to communicating their personal carbon footprint in order to encourage engagement between individuals on this key environmental topic.

 Landscapes of Energy

Queries for Live data from the Episensor deployment at UCD

CLARITY DCU Network Screenshot

Google Gadgets for CLARITY Energy Monitoring

CLARITY In-Home Energy Display

REcognition of Appliances Activity in Real-time (REAR)

People:

1.    Energy Usage (Antonio Ruzzelli, UCD; Cathal Gurrin, DCU)
    a.    EpiSensor Electricity Monitoring

2.    Episensor communication framework ( Mauro Dragone, UCD; Antonio Ruzzelli, UCD)

    a. EpiSensor DB management and servlet

    b. Dynamic XML and RSS feeds

    c. Live Queries through JDBC (Java DB connection)

3.    Environmental (Stephen Beirne, DCU, Paul Kenny UCD)
    a.    Air Quality Monitoring (CO/CO2 sensing)
    b.    Temperature / Relative Humidity
    c.    Ambient light
    d.    Waste generation / recycling
    e.    Additional sensor modalities may be suggested/provided by Urban Institute

4.    Activity (Mike Bennett, Brian Caulfield, UCD)
    a.    Personal activity sensors.
    b.    Social sensing from the Campaign trial.