scholarly journals Review and Meta-Analysis of EVs: Embodied Emissions and Environmental Breakeven

2020 ◽  
Vol 12 (22) ◽  
pp. 9390 ◽  
Author(s):  
Kevin Joseph Dillman ◽  
Áróra Árnadóttir ◽  
Jukka Heinonen ◽  
Michał Czepkiewicz ◽  
Brynhildur Davíðsdóttir

Electric vehicles (EVs) are often considered a potential solution to mitigate greenhouse gas (GHG) emissions originating from personal transport vehicles, but this has also been questioned due to their high production emissions. In this study, we performed an extensive literature review of existing EV life-cycle assessments (LCAs) and a meta-analysis of the studies in the review, extracting life-cycle GHG emission data combined with a standardized methodology for estimating GHG electrical grid intensities across the European Economic Area (EEA), which were used to estimate a set of environmental breakeven points for each EEA country. A Monte Carlo simulation was performed to provide sensitivity analysis. The results of the review suggest a need for greater methodological and data transparency within EV LCA research. The meta-analysis found a subset of countries across the EEA where there is a potential that EVs could lead to greater life-cycle GHG emissions than a comparable diesel counterpart. A policy discussion highlights how EV policies in countries with contrasting GHG electric grid intensities may not reflect the current techno-environmental reality. This paper emphasizes the importance for researchers to accurately depict life-cycle vehicle emissions and the need for EEA countries to enact policies corresponding to their respective contextual conditions to avoid potentially enacting policies that could lead to greater GHG emissions.

2021 ◽  
Vol 13 (9) ◽  
pp. 5250
Author(s):  
Roberta Olindo ◽  
Nathalie Schmitt ◽  
Joost Vogtländer

LCAs of electric cars and electrolytic hydrogen production are governed by the consumption of electricity. Therefore, LCA benchmarking is prone to choices on electricity data. There are four issues: (1) leading Life Cycle Impact (LCI) databases suffer from inconvenient uncertainties and inaccuracies, (2) electricity mix in countries is rapidly changing, year after year, (3) the electricity mix is strongly fluctuating on an hourly and daily basis, which requires time-based allocation approaches, and (4) how to deal with nuclear power in benchmarking. This analysis shows that: (a) the differences of the GHG emissions of the country production mix in leading databases are rather high (30%), (b) in LCA, a distinction must be made between bundled and unbundled registered electricity certificates (RECs) and guarantees of origin (GOs); the residual mix should not be applied in LCA because of its huge inaccuracy, (c) time-based allocation rules for renewables are required to cope with periods of overproduction, (d) benchmarking of electricity is highly affected by the choice of midpoints and/or endpoint systems, and (e) there is an urgent need for a new LCI database, based on measured emission data, continuously kept up-to-date, transparent, and open access.


1996 ◽  
Vol 4 (3-4) ◽  
pp. 149-157 ◽  
Author(s):  
Ole Jørgen Hanssen ◽  
Odd Andreas Asbjørnsen

Materials ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 714
Author(s):  
Firoozeh Foroughi ◽  
Erfan Rezvani Ghomi ◽  
Fatemeh Morshedi Dehaghi ◽  
Ramadan Borayek ◽  
Seeram Ramakrishna

The huge plastic production and plastic pollution are considered important global issues due to environmental aspects. One practical and efficient way to address them is to replace fossil-based plastics with natural-based materials, such as cellulose. The applications of different cellulose products have recently received increasing attention because of their desirable properties, such as biodegradability and sustainability. In this regard, the current study initially reviews cellulose products’ properties in three categories, including biopolymers based on the cellulose-derived monomer, cellulose fibers and their derivatives, and nanocellulose. The available life cycle assessments (LCA) for cellulose were comprehensively reviewed and classified at all the stages, including extraction of cellulose in various forms, manufacturing, usage, and disposal. Finally, due to the development of low-carbon materials in recent years and the importance of greenhouse gases (GHG) emissions, the proposed solutions to make cellulose a low carbon material were made. The optimization of the cellulose production process, such as the recovery of excessive solvents and using by-products as inputs for other processes, seem to be the most important step toward making it a low carbon material.


2020 ◽  
Author(s):  
Sylvia Sleep ◽  
Zainab Dadashi ◽  
yuanlei chen ◽  
Adam R. Brandt ◽  
Heather L. MacLean ◽  
...  

Life cycle assessments can help to inform decision-making about greenhouse gas (GHG) emission reduction opportunities but are often not embraced by stakeholders associated with industries where study results are highly scrutinized and often contentious. This project was motivated by stakeholder interest in understanding open source life cycle models (the Oil Production Greenhouse Gas Emissions Estimator, OPGEE, and the Petroleum Refinery Life Cycle Inventory Model, PRELIM) and how accurately they can estimate emissions for existing oil sands projects and emerging technologies. We evaluate the robustness of these models and improve them using data from three existing oil sands projects (mining + upgrading, mining + dilution, and steam assisted gravity drainage, SAGD, + dilution). The models are then applied to estimate the GHG emissions reduction potential for two emerging in situ oil sands technologies. We find that, when boundaries are aligned, OPGEE can generate upstream GHG emissions estimates for the projects modeled within 1-4% of company reported GHG emissions data. Extending the boundary to include indirect (life cycle) emissions can lead to a doubling in upstream GHG emissions intensity. The two emerging technologies evaluated in the study can reduce upstream emissions by 14-19% compared to a SAGD project operating at the same reservoir, or 1.4-1.9% on a well-to-wheel basis. This work contributes a revised process of conducting LCAs that includes stakeholder input throughout and results in more robust and transparent estimations of emissions from deploying existing and emerging technologies.<br>


Polymers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1854
Author(s):  
Erfan Rezvani Rezvani Ghomi ◽  
Fatemeh Khosravi ◽  
Ali Saedi Saedi Ardahaei ◽  
Yunqian Dai ◽  
Rasoul Esmaeely Neisiany ◽  
...  

The massive plastic production worldwide leads to a global concern for the pollution made by the plastic wastes and the environmental issues associated with them. One of the best solutions is replacing the fossil-based plastics with bioplastics. Bioplastics such as polylactic acid (PLA) are biodegradable materials with less greenhouse gas (GHG) emissions. PLA is a biopolymer produced from natural resources with good mechanical and chemical properties, therefore, it is used widely in packaging, agriculture, and biomedical industries. PLA products mostly end up in landfills or composting. In this review paper, the existing life cycle assessments (LCA) for PLA were comprehensively reviewed and classified. According to the LCAs, the energy and materials used in the whole life cycle of PLA were reported. Finally, the GHG emissions of PLA in each stage of its life cycle, including feedstock acquisition and conversion, manufacturing of PLA products, the PLA applications, and the end of life (EoL) options, were described. The most energy-intensive stage in the life cycle of PLA is its conversion. By optimizing the conversion process of PLA, it is possible to make it a low-carbon material with less dependence on energy sources.


2021 ◽  
pp. 53-59
Author(s):  
Dennis G. A. B. Oonincx

Abstract This chapter discusses the environmental impact of insect rearing. Direct greenhouse gas (GHG) emissions from insects used as feed or food are discussed and data from life cycle assessments (LCAs) on commercially farmed insects are discussed per species. The relevance of the utilized feed on the environmental impact of insects and their derived products, including suggestions to lower this impact are also discussed. It is concluded that land use associated with insect production generally seems low, compared to conventional feed and food products. The EU (expressed as fossil fuel depletion) of insect production is often high compared to conventional products. To a large extent this is because several LCAs have been conducted for systems in temperate climates, which require extensive climate control.


2020 ◽  
Author(s):  
Sylvia Sleep ◽  
Zainab Dadashi ◽  
yuanlei chen ◽  
Adam R. Brandt ◽  
Heather L. MacLean ◽  
...  

Life cycle assessments can help to inform decision-making about greenhouse gas (GHG) emission reduction opportunities but are often not embraced by stakeholders associated with industries where study results are highly scrutinized and often contentious. This project was motivated by stakeholder interest in understanding open source life cycle models (the Oil Production Greenhouse Gas Emissions Estimator, OPGEE, and the Petroleum Refinery Life Cycle Inventory Model, PRELIM) and how accurately they can estimate emissions for existing oil sands projects and emerging technologies. We evaluate the robustness of these models and improve them using data from three existing oil sands projects (mining + upgrading, mining + dilution, and steam assisted gravity drainage, SAGD, + dilution). The models are then applied to estimate the GHG emissions reduction potential for two emerging in situ oil sands technologies. We find that, when boundaries are aligned, OPGEE can generate upstream GHG emissions estimates for the projects modeled within 1-4% of company reported GHG emissions data. Extending the boundary to include indirect (life cycle) emissions can lead to a doubling in upstream GHG emissions intensity. The two emerging technologies evaluated in the study can reduce upstream emissions by 14-19% compared to a SAGD project operating at the same reservoir, or 1.4-1.9% on a well-to-wheel basis. This work contributes a revised process of conducting LCAs that includes stakeholder input throughout and results in more robust and transparent estimations of emissions from deploying existing and emerging technologies.<br>


2015 ◽  
Vol 20 (4) ◽  
pp. 743-763 ◽  
Author(s):  
Christian Wolf ◽  
Daniel Klein ◽  
Gabriele Weber-Blaschke ◽  
Klaus Richter

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