By He Zhang, Lin Liu (Tsinghua University, Beijing, China), Sheikh Iqbal Ahamed, and Farzana Rahman (Marquette University, WI, USA)

Excerpt: As climate change becoming an important global issue, more and more people begin to pay attention to reduce greenhouse gas emissions. Reducing GHG emissions needs to measure the emissions in specific areas, and to identify the major GHG emitting activities. Based on the knowledge of the major emitting activities and their impact on the environment, domain experts could build quantitative models and propose solid mitigation strategies and plans. To measure personal or household carbon dioxide emission, there are already plenty of carbon footprint calculators available on-line. Most of these calculators use quantitative models to estimate carbon emission caused by the user’s activities. Although the calculators can promote public awareness of the carbon emission from individual behavior, there are also concerns about the consistency and transparency of the existing carbon calculators [Padgett,1997]. Apart from a small group of smart phone carbon footprint calculation applications, most of the existing carbon calculators require users to input the data manually. This not only provides poor user experience, but also makes the calculation less accurate. In this paper we are going to propose our approach to design of an open calculation platform for individual users. The platform maintains a model registry for quantitative human activity-carbon emission models used for calculation, and it uses on-line data services and sensor data as major source of input. In the following section, we’ll introduce the data structure of the model repository and the carbon footprint calculation mechanism.