12 research outputs found

    Strengths-Weaknesses-Opportunities-Threats analysis of carbon footprint indicator and derived recommendations

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    ABSTRACT: Demand for a low carbon footprint may be a key factor in stimulating innovation, while prompting politicians to promote sustainable consumption. However, the variety of methodological approaches and techniques used to quantify life-cycle emissions prevents their successful and widespread implementation. This study aims to offer recommendations for researchers, policymakers and practitioners seeking to achieve a more consistent approach for carbon footprint analysis. This assessment is made on the basis of a comprehensive Strengths-Weaknesses-Opportunities-Threats or SWOT Analysis of the carbon footprint indicator. It is carried out bringing together the collective experience from the Carbonfeel Project following the Delphi technique principles. The results include the detailed SWOT Analysis from which specific recommendations to cope with the threats and the weaknesses are identified. In particular, results highlight the importance of the integrated approach to combine organizational and product carbon footprinting in order to achieve a more standardized and consistent approach. These recommendations can therefore serve to pave the way for the development of new, specific and highly-detailed guidelines

    The Role of Scale and Technology Maturity in Life Cycle Assessment of Emerging Technologies: A Case Study on Carbon Nanotubes

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    Summary: Life cycle assessment (LCA) has been applied for assessing emerging technologies, where large-scale production data are generally lacking. This study introduces a standardized scheme for technology and manufacturing readiness levels to contextualize a technology's development stage. We applied the scheme to a carbon nanotube (CNT) LCA and found that, regardless of synthesis technique, CNT manufacturing will become less energy intensive with increased levels of readiness. We examined the influence of production volume on LCA results using primary data from a commercial CNT manufacturer with approximately 100 grams per day production volume and engineering design of a scaled-up process with 1 tonne per day production capacity. The results show that scaling up could reduce 84% to 94% of its cradle-to-gate impacts, mainly as a result of the recycling of feedstock that becomes economically viable only beyond certain minimum production volume. This study shows that LCAs on emerging technologies based on immature data should be interpreted in conjunction with their technology and manufacturing readiness levels and reinforces the need of standardizing and communicating information on these readiness levels and scale of production in life cycle inventory practices
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