@article{6f9c92d2dada4bce9632632a2f6e4402,
title = "Product carbon footprinting: A proposed framework to increase confidence, reduce costs and incorporate profit incentive",
abstract = "Limiting the effects of global climate change requires reductions in anthropogenic GHG emissions. However, without regulations mandating decarbonization of industrial society, emission reduction strategies must provide opportunities for generating profit. Product carbon footprinting (PCF) has emerged as a means to identify emission reduction opportunities for all economic activity by analyzing the full life cycle of goods and services. The detailed emissions inventories obtained through PCF can facilitate identification of areas in a supply chain where GHG emissions can be reduced with a positive return on investment. Despite recent efforts to standardize PCF, a lack of data and data uncertainty remain barriers to restructuring supply chains and manufacturing processes to achieve cost-effective emissions reductions. We provide a basic framework to conceptually demonstrate how data gaps can be filled and uncertainty in PCF can be more accurately assessed, while simultaneously reducing the costs of conducting PCF and yielding positive return on investment.",
author = "Waddell, {Chase J.} and Hurteau, {Matthew D.} and Deborah Huntzinger",
note = "Funding Information: Frameworks for public data sharing and aggregation have been discussed by previous authors for Life Cycle Inventories (LCI) [103] and are commonly termed {\textquoteleft}open source LCI{\textquoteright}. A similar model can be used for PCF. Several open access data sources are available and work to expand open access data has been underway for some time [26]. Examples include the National Renewable Energy Laboratory{\textquoteright}s LCI database [104], Carnegie Mellon{\textquoteright}s EIO LCA tool [105] and the European Commission Joint Research Centre{\textquoteright}s European Reference Life Cycle Database [106], among others. These data sources are important first steps in the open source LCI/open PCF process, and incorporation of uncertainty information has already begun [29,21]. However, the open source LCI/open PCF process and all data resources could benefit from increased uncertainty analysis and precise, brand-specific information on the individual producer level. To facilitate data sharing and ease of accessibility, individual producers could post their cradle-to-gate and gate-to-gate PCF to individual websites for use by downstream producers. The data could also be deposited in a central repository for open access on the web. However, these data would require third-party verification to ensure their validity prior to posting.",
year = "2011",
month = dec,
doi = "10.4155/cmt.11.68",
language = "English (US)",
volume = "2",
pages = "645--657",
journal = "Carbon Management",
issn = "1758-3004",
publisher = "Future Science",
number = "6",
}