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Sustainability

Don’t Forget: Take the Commuting Survey by Nov. 2nd

You’ve got a few more days to provide your input! How we commute to campus appears to be a significant ‘chunk’ of our overall campuswide greenhouse gas emissions, contributing approximately 27% of our total emissions.  For comparison purposes, our greenhouse gas emissions resulting from burning natural gas to heat the entire campus for a year’s period is 19% of our total emissions (FY2012 data). However, our commuting emissions are based on older data and that’s where we need your help!

Please take this short survey to update our data set. In addition, please provide feedback on Zimride, the ridesharing/commuting website that helps you find a ride to share with someone else – commuting or one-way trips (zimride.uwgb.edu).  We are halfway through our contract with Zimride and want to get a sense of participation and usage of the program which targets reducing solo trips in a vehicle, thus reducing emissions.

 Tracking and measuring the impact of “Eco-U” through an annual greenhouse gas inventory helps us better understand our progress and is a requirement of our participation in the American College and University President’s Climate Commitment.

 Thank you for taking the time to help us better understand where we’re at in working to make Eco-U greener.

 UWGB Sustainability Committee

PepsiCo launches new Facebook-inspired carbon calculator

 By Alison Moodie, GreenBiz.com, 10-9-2012

For a company like PepsiCo, which oversees more than 20 brands and hundreds of different products around the world, calculating the carbon footprint of just one of its products can take weeks, and at a signficant cost to the company. To save time and money, PepsiCo teamed up with researchers from Columbia University’s Earth Institute to create a tool that can measure the carbon footprint of thousands of products all at once.

The calculator, which lacks an official name, can calculate the carbon emissions of different materials and activities in a company’s supply chain and operations, and within minutes pinpoint which of these carries the largest carbon footprint.

‘The objective was to give companies several capabilities at once with only a single effort,’ said Christoph Meinrenken, the tool’s lead researcher and associate research scientist at the Earth Institute.

The calculator was developed to follow publicly known carbon footprinting standards such as the GHG Protocol Life Cycle Analysis (LCA) standard and PAS20:2011. The methodology and software helps businesses identify which materials or activities in their supply chain and operations have the biggest effect on the total carbon footprint of one of their products, product lines, brands or regions. The calculator also reveals the accuracy of this information and how this accuracy can be improved so a company can make better business decisions.

“We saw the opportunity to use our carbon/greenhouse gas analysis as a base for building a broader decision-making tool that could help us identify other efficiency opportunities throughout our supply chian, drive innovation and improve our overall operations,” said Rober terKuile, PepsiCo’s senior director of environmental sustainability.

The tool also provides certifiable product footprints to be used in ecolabeling and for environmental measuring groups such as The Sustainability Consortium and GoodGuide. This certification requires an intensive, bottom-up assessment of each product’s entire life cycle in order to provide the required microscopic level of detail and to be auditable outside the company, said Meinrenken.

The tool is not the first of its kind. Earlier this year, Danone announced it had developed a system, in partnership with SAP, that can calculate the carbon emissions of individual products. Meinrenken said the inner workings of the Danone tool hadn’t been made public, so it was hard to adequately compare the two. He said PesiCo’s tool was developed before Danone unveiled its calculator.

The PepsiCo tool takes inspiration from sites like Facebook and Netflix, which mine huge swaths of data to figure out what users like. It analyzes data already stored in a company’s database to infer information, like what materials are in a product and where they come from. This process saves a company time and money, said Meinrenken.

‘This is just a general argument of being smart and efficient with companies’ existing data to mine and ‘milk’  it if you will, to learn additional things from the same data, rather than hiring additional staff and building up new data,’ he said.

To learn more about this approach to carbon footprinting, finish reading the article HERE.