Carbon Footprint of an IBM Server: Measuring the Yardstick
Researchers at Carnegie Mellon have taken on the task of walking a mile in the shoes of Product Carbon Footprint (PCF) measurement standards, in the paper (via SmartPlanet) ‘Uncertainty and Variability in Carbon Footprinting for Electronics: Case Study of an IBM Rack-mount Server.’
“The use of carbon footprinting in both policy and labeling has assumed that the techniques of carbon footprinting are capable of producing precise point estimates or at least estimates with small enough uncertainties to allow comparative assessment. However, it remains to be proven whether this level of precision is possible given large but poorly understood limitations in both methodology and data,” writes the paper’s author Christopher Weber, assistant research professor at the university.
Weber’s case study of the IBM rack-mount server found that the production phase of the product was measurable with a low degree of uncertainty, but at the use phase, accounting for 94% of the total greenhouse gas emissions associated with the product, had only predictive measurements since it was not possible to clearly determine “how and for how long the product would be used.”
Additionally, Weber brings in the variability of mix in electricity markets, delivery methods and other factors to complicate accuracy of PCF studies. Altogether, his conclusions assigned a +/- 15% range for production, a +/- 25% range for the delivery phase a +/-50% range for the use phase, and +/-35% range for the cradle to grave carbon footprint.
“This finding confirmed the importance of IBM’s ongoing efforts to increase energy efficiency of its server products and the data centers where servers are used,” said Weber, since energy efficiency in the use phase is the product attribute most likely to lower the product’s carbon footprint. He also recommends that standards writers should dictate when to use regional, country or multinational electricity mixes in future PCF standards.
Weber acknowledged that the study was based on only two “both relatively old” available data sets, but that a +/-15% margin is not an ignorable amount for a method that is already being used to set policy and make comparative environmental product declarations.
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