scholarly journals A critical analysis of the carbon neutrality assumption in life cycle assessment of forest bioenergy systems

2018 ◽  
Vol 26 (1) ◽  
pp. 93-101 ◽  
Author(s):  
Weiguo Liu ◽  
Zhen Yu ◽  
Xinfeng Xie ◽  
Klaus von Gadow ◽  
Changhui Peng

This study presents a critical analysis regarding the assumption of carbon neutrality in life cycle assessment (LCA) models that assess climate change impacts of bioenergy usage. We identified a complex of problems in the carbon neutrality assumption, especially regarding bioenergy derived from forest residues. In this study, we summarized several issues related to carbon neutral assumptions, with particular emphasis on possible carbon accounting errors at the product level. We analyzed errors in estimating emissions in the supply chain, direct and indirect emissions due to forest residue extraction, biogenic CO2 emission from biomass combustion for energy, and other effects related to forest residue extraction. Various modeling approaches are discussed in detail. We concluded that there is a need to correct accounting errors when estimating climate change impacts and proposed possible remedies. To accurately assess climate change impacts of bioenergy use, greater efforts are required to improve forest carbon cycle modeling, especially to identify and correct pitfalls associated with LCA accounting, forest residue extraction effects on forest fire risk and biodiversity. Uncertainties in accounting carbon emissions in LCA are also highlighted, and associated risks are discussed.

2021 ◽  
Vol 64 (6) ◽  
pp. 1717-1733
Author(s):  
Valentina Prado ◽  
Jesse Daystar ◽  
Steven Pires ◽  
Michele Wallace ◽  
Lise Laurin

HighlightsCottonseed oil (CSO), a cotton byproduct, has advantages for climate change compared to other seed oils.Results show that the cultivation phase is the main impact driver for all vegetable oils analyzed in this study.Refined CSO (U.S.) can reduce climate change impacts by up to 83% as compared to the other oils analyzed.Abstract. Edible vegetable oils are a major source of climate change impacts and an environmental concern in the processed food industry. This study consists of a cradle-to-grave life cycle assessment (LCA) of refined U.S. cottonseed oil (CSO), global soybean oil, U.S. canola oil, and palm oil sourced from Indonesia and Malaysia. Considering the oils equivalent for deep frying, they are compared on a 1 kg of oil basis. Analysis includes sensitivity analyses for modeling allocation choices and oil mixes as well as uncertainty analysis. Results show that the cultivation phase is the main impact driver for all vegetable oils analyzed, which favors CSO (U.S.) because it is a co-product. Refined CSO (U.S.) can reduce climate change impacts by up to 83%. Overall, refined CSO (U.S.) was a top performer in six of the eight impact categories evaluated. When ranking the oils, refined CSO (U.S.) was the preferred choice. Despite being the preferred choice, there are tradeoffs with CSO, such as water scarcity. In the context of global-scale commercial frying applications, e.g., McDonald’s daily French fry production of 9 million tons per day, switching the frying oil to refined CSO (U.S.) represents potential savings of 1,130 to 2,188 tons of CO2-eq d-1. For fast-food chains seeking to reduce their climate change impacts, refined CSO (U.S.) may be useful in frying applications. However, opportunities may exist for improvement in water use efficiency in the cultivation phase, which reinforces the need for continuous improvements in agriculture. Keywords: Comparative life cycle assessment, Canola oil, Cottonseed oil, Cotton sustainability, Fast-food industry, LCA, Palm oil, Soybean oil, Vegetable frying oils.


Author(s):  
Daniel Felipe Rodriguez-Vallejo ◽  
Antonio Valente ◽  
Gonzalo Guillén-Gosálbez ◽  
Benoit Chachuat

Reducing the contribution of the transport sector to climate change calls for a transition towards renewable fuels. Polyoxymethylene dimethyl ethers (OMEn) constitute a promising alternative to fossil-based diesel. This article...


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