Guillaume Majeau-Bettez's Publications
2025
Rognan M S; Margni M; Majeau-Bettez G
SSELF: A Specific SEmiautomated Lifecycle Footprinting framework to go beyond generic data in LCA Journal Article
In: Journal of Industrial Ecology, pp. 1-17, 2025, ISSN: 1088-1980.
@article{Rognan2025,
title = {SSELF: A Specific SEmiautomated Lifecycle Footprinting framework to go beyond generic data in LCA},
author = {Marit Salome Rognan and Manuele Margni and Guillaume Majeau-Bettez},
url = {https://doi.org/10.1111/jiec.70056},
doi = {10.1111/jiec.70056},
issn = {1088-1980},
year = {2025},
date = {2025-01-01},
journal = {Journal of Industrial Ecology},
pages = {1-17},
abstract = {<p>Advancements in life cycle assessment (LCA) and environmentally extended input–output analysis enable quick generic estimations of the environmental footprint of almost any product and service. However, going beyond a generic estimate to an assessment based on actual, specific supply chain data remains costly and impracticable and demands significant sharing of proprietary data between supply chain actors and the LCA practitioner. Achieving widespread specificity in LCA requires fundamentally changing the way inventory and emission data are collected, stored, and exchanged. This research develops the SSELF (Specific SEmiautomated Lifecycle Footprinting) framework to go beyond generic data in LCA in a way that can scale up, while safeguarding sensitive data. A key feature of the framework is decentralizing inventory collection and footprint calculations. Thus, production functions remain private and upstream impacts are calculated using an iterative approach with a database of unique product identifiers and the footprints reported by other users, capturing changes in the footprints of suppliers. Although this substantially reduces the effort of footprint assessments, implementing the framework in practice presents new challenges, which are identified and discussed in this paper along with recommendations on how they can be addressed and their implications. This work provides important insight into how to get to a point where every product and service has its unique footprint. Broad access to footprints with more specificity is necessary to help consumers reduce their consumption‐based impacts and make companies take accountability for, and reduce, their indirect impacts.</p>},
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<p>Advancements in life cycle assessment (LCA) and environmentally extended input–output analysis enable quick generic estimations of the environmental footprint of almost any product and service. However, going beyond a generic estimate to an assessment based on actual, specific supply chain data remains costly and impracticable and demands significant sharing of proprietary data between supply chain actors and the LCA practitioner. Achieving widespread specificity in LCA requires fundamentally changing the way inventory and emission data are collected, stored, and exchanged. This research develops the SSELF (Specific SEmiautomated Lifecycle Footprinting) framework to go beyond generic data in LCA in a way that can scale up, while safeguarding sensitive data. A key feature of the framework is decentralizing inventory collection and footprint calculations. Thus, production functions remain private and upstream impacts are calculated using an iterative approach with a database of unique product identifiers and the footprints reported by other users, capturing changes in the footprints of suppliers. Although this substantially reduces the effort of footprint assessments, implementing the framework in practice presents new challenges, which are identified and discussed in this paper along with recommendations on how they can be addressed and their implications. This work provides important insight into how to get to a point where every product and service has its unique footprint. Broad access to footprints with more specificity is necessary to help consumers reduce their consumption‐based impacts and make companies take accountability for, and reduce, their indirect impacts.</p>
Kaddoura M; Majeau-Bettez G; Amor B; Margni M
Global sensitivity analysis reduces data collection efforts in LCA: A comparison between two additive manufacturing technologies Journal Article
In: Science of The Total Environment, vol. 975, 2025, ISSN: 18791026.
@article{Kaddoura2025,
title = {Global sensitivity analysis reduces data collection efforts in LCA: A comparison between two additive manufacturing technologies},
author = {Mohamad Kaddoura and Guillaume Majeau-Bettez and Ben Amor and Manuele Margni},
doi = {10.1016/j.scitotenv.2025.179269},
issn = {18791026},
year = {2025},
date = {2025-01-01},
journal = {Science of The Total Environment},
volume = {975},
publisher = {Elsevier B.V.},
abstract = {Accounting for the environmental impacts in the design of technologies is becoming a necessity for manufacturers. Life cycle assessment (LCA) is a well-established method to quantify the environmental impacts of products and services through a holistic perspective and is increasingly used to support the eco-design of products and technologies. However, LCA generally faces an inherent issue with data availability. Given the constraints on both time and cost for collecting inventory data to feed the LCA model, a trade-off between data cost robustness is required with an efficient data collection strategy. The objective of this study is to develop a framework to prioritize data collection efforts in LCA using uncertainty analysis. This starts with a screening life cycle inventory analysis systematically informing all input parameters with uncertainty ranges. Monte Carlo analysis is then used to propagate the uncertainty through the model. Stochastic results are then compared with an acceptable confidence level set by the decision maker. This is followed by a global sensitivity analysis using Sobol' indices to rank different input parameters based on their contribution to the variability of the results. This paves the way for an iterative process prioritizing further data collection focusing on the most sensitive parameters. A case study comparing cold spray and wire arc additive manufacturing illustrates how to operationalize the framework. Learnings from the case study highlight the importance of defining the uncertainty ranges and the convergence criterion, where more work is needed in that domain.},
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Accounting for the environmental impacts in the design of technologies is becoming a necessity for manufacturers. Life cycle assessment (LCA) is a well-established method to quantify the environmental impacts of products and services through a holistic perspective and is increasingly used to support the eco-design of products and technologies. However, LCA generally faces an inherent issue with data availability. Given the constraints on both time and cost for collecting inventory data to feed the LCA model, a trade-off between data cost robustness is required with an efficient data collection strategy. The objective of this study is to develop a framework to prioritize data collection efforts in LCA using uncertainty analysis. This starts with a screening life cycle inventory analysis systematically informing all input parameters with uncertainty ranges. Monte Carlo analysis is then used to propagate the uncertainty through the model. Stochastic results are then compared with an acceptable confidence level set by the decision maker. This is followed by a global sensitivity analysis using Sobol' indices to rank different input parameters based on their contribution to the variability of the results. This paves the way for an iterative process prioritizing further data collection focusing on the most sensitive parameters. A case study comparing cold spray and wire arc additive manufacturing illustrates how to operationalize the framework. Learnings from the case study highlight the importance of defining the uncertainty ranges and the convergence criterion, where more work is needed in that domain.
2024
Duval L; Majeau-Bettez G; Saunier F; Maréchal F; Margni M
Optimization of the end‐of‐life tire repartition within the European treatment system to minimize its environmental impacts Journal Article
In: Journal of Industrial Ecology, 2024, ISSN: 1088-1980.
@article{Duval2024,
title = {Optimization of the end‐of‐life tire repartition within the European treatment system to minimize its environmental impacts},
author = {Lisa Duval and Guillaume Majeau-Bettez and François Saunier and François Maréchal and Manuele Margni},
doi = {10.1111/jiec.13474},
issn = {1088-1980},
year = {2024},
date = {2024-01-01},
journal = {Journal of Industrial Ecology},
abstract = {<p>This study contrasts two different approaches to inform European‐scale decision‐making to mitigate the environmental impacts of the end‐of‐life tires (ELT) management system. The first analysis is a traditional life cycle assessment (LCA) that compares the environmental performances of the 12 main available European end‐of‐life (EOL) technologies in ELT processing while restricting the boundaries to the EOL stage. The second analysis has a broader scope, addressing the optimization of the ELT distribution within the 12 considered pathways to minimize the environmental impacts of the total tire use in Europe under present capacity and constraints. The results of the traditional LCA show that, except for landfill, all the tested EOL routes present environmental benefits. Material recovery pathways bring the most environmental credits, whereas civil engineering pathways are the least promising. The LCA results that emerged from the optimization of ELT management technologies yield two optimal technological mixes that maximize the quantity of ELT recycled in molded objects production: such results represent a hypothetical case with no constraints. When considering constraints, that is, limitations on maximum quantities of ELT that can undergo retreading, pyrolysis, or recycling in synthetic turfs, in molded objects and in production, the number of optimal technology mixes increases to five. The type of technologies favored depends on the minimized impact categories (climate change, fossil and nuclear energy use, human health, and ecosystem quality). A comparison between constrained and unconstrained scenarios shows that achieving the best environmental performances is conditional to the accessibility of the EOL technologies as well as their individual environmental impacts.</p>},
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<p>This study contrasts two different approaches to inform European‐scale decision‐making to mitigate the environmental impacts of the end‐of‐life tires (ELT) management system. The first analysis is a traditional life cycle assessment (LCA) that compares the environmental performances of the 12 main available European end‐of‐life (EOL) technologies in ELT processing while restricting the boundaries to the EOL stage. The second analysis has a broader scope, addressing the optimization of the ELT distribution within the 12 considered pathways to minimize the environmental impacts of the total tire use in Europe under present capacity and constraints. The results of the traditional LCA show that, except for landfill, all the tested EOL routes present environmental benefits. Material recovery pathways bring the most environmental credits, whereas civil engineering pathways are the least promising. The LCA results that emerged from the optimization of ELT management technologies yield two optimal technological mixes that maximize the quantity of ELT recycled in molded objects production: such results represent a hypothetical case with no constraints. When considering constraints, that is, limitations on maximum quantities of ELT that can undergo retreading, pyrolysis, or recycling in synthetic turfs, in molded objects and in production, the number of optimal technology mixes increases to five. The type of technologies favored depends on the minimized impact categories (climate change, fossil and nuclear energy use, human health, and ecosystem quality). A comparison between constrained and unconstrained scenarios shows that achieving the best environmental performances is conditional to the accessibility of the EOL technologies as well as their individual environmental impacts.</p>
Kaddoura M; Majeau-Bettez G; Amor B; Poirier D; Margni M
Estimating and reducing dissipative losses in thermal spray: A parametrized material flow analysis approach Journal Article
In: Journal of Cleaner Production, vol. 450, pp. 141978, 2024, ISSN: 09596526.
@article{Kaddoura2024,
title = {Estimating and reducing dissipative losses in thermal spray: A parametrized material flow analysis approach},
author = {Mohamad Kaddoura and Guillaume Majeau-Bettez and Ben Amor and Dominique Poirier and Manuele Margni},
doi = {10.1016/j.jclepro.2024.141978},
issn = {09596526},
year = {2024},
date = {2024-01-01},
journal = {Journal of Cleaner Production},
volume = {450},
pages = {141978},
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Provost-Savard A; Majeau-Bettez G
Substitution modeling can coherently be used in attributional life cycle assessments Journal Article
In: Journal of Industrial Ecology, 2024, ISSN: 1088-1980.
@article{Provost-Savard2024,
title = {Substitution modeling can coherently be used in attributional life cycle assessments},
author = {Arianne Provost-Savard and Guillaume Majeau-Bettez},
doi = {10.1111/jiec.13480},
issn = {1088-1980},
year = {2024},
date = {2024-01-01},
journal = {Journal of Industrial Ecology},
abstract = {<p> Most life cycle assessment (LCA) studies use the attributional methodology. This approach attributes a share of global environmental impacts to one or multiple functions provided by a normatively circumscribed system. Multifunctional systems that are not technologically subdivisible between co‐functions are frequently encountered in LCA studies. It then becomes necessary to resort to co‐production modeling techniques, like the substitution approach. The use of substitution modeling in attributional LCA (ALCA) is, however, discouraged amongst practitioners, due to the alleged violation of central requirements of the attributional methodology. The objective of this research is to shed light on common misconceptions about the compatibility of substitution with ALCA. The first misconception is that the use of substitution in ALCA violates the conservation of total environmental impacts. We find that this idea arises from a confusion regarding the attribution of impacts to the secondary product(s). The second misconception stipulates that substitution is not coherent with the state‐descriptive characteristic of ALCA. We conclude that we can describe a given system <italic>as resulting</italic> from an inferred (substitution) change, rather than <italic>as disrupted</italic> by this change. Finally, we discuss the choice of the substituted technology, and argue there is a logic to marginal substitution in ALCA. We therefore recommend accepting substitution modeling in ALCA. </p>},
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<p> Most life cycle assessment (LCA) studies use the attributional methodology. This approach attributes a share of global environmental impacts to one or multiple functions provided by a normatively circumscribed system. Multifunctional systems that are not technologically subdivisible between co‐functions are frequently encountered in LCA studies. It then becomes necessary to resort to co‐production modeling techniques, like the substitution approach. The use of substitution modeling in attributional LCA (ALCA) is, however, discouraged amongst practitioners, due to the alleged violation of central requirements of the attributional methodology. The objective of this research is to shed light on common misconceptions about the compatibility of substitution with ALCA. The first misconception is that the use of substitution in ALCA violates the conservation of total environmental impacts. We find that this idea arises from a confusion regarding the attribution of impacts to the secondary product(s). The second misconception stipulates that substitution is not coherent with the state‐descriptive characteristic of ALCA. We conclude that we can describe a given system <italic>as resulting</italic> from an inferred (substitution) change, rather than <italic>as disrupted</italic> by this change. Finally, we discuss the choice of the substituted technology, and argue there is a logic to marginal substitution in ALCA. We therefore recommend accepting substitution modeling in ALCA. </p>
2023
Provost-Savard A; Legros R; Majeau-Bettez G
Parametrized regionalization of paper recycling life-cycle assessment Journal Article
In: Waste Management, vol. 156, pp. 84-96, 2023, ISSN: 0956053X.
@article{Provost-Savard2023,
title = {Parametrized regionalization of paper recycling life-cycle assessment},
author = {Arianne Provost-Savard and Robert Legros and Guillaume Majeau-Bettez},
doi = {10.1016/j.wasman.2022.11.018},
issn = {0956053X},
year = {2023},
date = {2023-01-01},
journal = {Waste Management},
volume = {156},
pages = {84-96},
abstract = {Recycling is a commonly acknowledged strategy to reduce the environmental impacts linked to primary resource exploitation. Large regional variations can be observed in recycling processes’ parameters, like efficiency, energy mix and treatment of rejects. Life-cycle assessment (LCA) is widely used to evaluate the environmental impacts of recycling processes, but existing studies are neither harmonized nor sufficient to provide a comprehensive geographical and technological coverage of recycling processes. The purpose of this research is to develop an efficient and iterative approach for the parametrized generation of semi-automated regionalized life-cycle inventories that take into account technological and geographical variabilities in the recycling sector. The regionalization framework is then applied to create a parametrized paper recycling regionalization tool. This tool is used in the results section to compare the national climate change impacts of recycling three paper grades. Results show a significant global warming impact variability between countries for recycled graphic paper (0.36 to 2.25 kg CO2-Eq/kg wastepaper recycled), newsprint (0.27 to 1.84 kg CO2-Eq/kg wastepaper recycled) and corrugated cardboard (0.28 to 1.68 kg CO2-Eq/kg wastepaper recycled) productions. A regionalized LCA of the international recycling of the mixed wastepaper exported from Quebec’s (Canada) sorting centers is also performed with the tool and compared to the non-regionalized mixed wastepaper recycling process available in the ecoinvent database. Only nine midpoint ReCiPe impact categories remain environmentally advantageous compared to virgin paper production when applying the regionalization methodology, compared to sixteen when using the ecoinvent process, illustrating how regionalization can substantially influence LCA results.},
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Recycling is a commonly acknowledged strategy to reduce the environmental impacts linked to primary resource exploitation. Large regional variations can be observed in recycling processes’ parameters, like efficiency, energy mix and treatment of rejects. Life-cycle assessment (LCA) is widely used to evaluate the environmental impacts of recycling processes, but existing studies are neither harmonized nor sufficient to provide a comprehensive geographical and technological coverage of recycling processes. The purpose of this research is to develop an efficient and iterative approach for the parametrized generation of semi-automated regionalized life-cycle inventories that take into account technological and geographical variabilities in the recycling sector. The regionalization framework is then applied to create a parametrized paper recycling regionalization tool. This tool is used in the results section to compare the national climate change impacts of recycling three paper grades. Results show a significant global warming impact variability between countries for recycled graphic paper (0.36 to 2.25 kg CO2-Eq/kg wastepaper recycled), newsprint (0.27 to 1.84 kg CO2-Eq/kg wastepaper recycled) and corrugated cardboard (0.28 to 1.68 kg CO2-Eq/kg wastepaper recycled) productions. A regionalized LCA of the international recycling of the mixed wastepaper exported from Quebec’s (Canada) sorting centers is also performed with the tool and compared to the non-regionalized mixed wastepaper recycling process available in the ecoinvent database. Only nine midpoint ReCiPe impact categories remain environmentally advantageous compared to virgin paper production when applying the regionalization methodology, compared to sixteen when using the ecoinvent process, illustrating how regionalization can substantially influence LCA results.
Pedneault J; Majeau-Bettez G; Margni M
How much sorting is required for a circular low carbon aluminum economy? Journal Article
In: Journal of Industrial Ecology, 2023, ISSN: 1088-1980.
@article{Pedneault2023,
title = {How much sorting is required for a circular low carbon aluminum economy?},
author = {Julien Pedneault and Guillaume Majeau-Bettez and Manuele Margni},
doi = {10.1111/jiec.13388},
issn = {1088-1980},
year = {2023},
date = {2023-01-01},
journal = {Journal of Industrial Ecology},
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2022
Nomena R; Olivier S; Majeau-Bettez G
Data Quality of Organic Waste Characteristics in Life Cycle Assessment of Waste Management: A Review Proceedings Article
In: Engineering Conferences International (ECI), 2022.
@inproceedings{RavoahangyNomena2022,
title = {Data Quality of Organic Waste Characteristics in Life Cycle Assessment of Waste Management: A Review},
author = {Ravoahangy Nomena and Schoefs Olivier and Guillaume Majeau-Bettez},
year = {2022},
date = {2022-01-01},
booktitle = {Engineering Conferences International (ECI)},
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Hung C R; Kishimoto P; Krey V; Strømman A H; Majeau-Bettez G
ECOPT2: An adaptable life cycle assessment model for the environmentally constrained optimization of prospective technology transitions Journal Article
In: Journal of Industrial Ecology, vol. 26, iss. 5, pp. 1616-1630, 2022, ISSN: 1088-1980.
@article{Hung2022,
title = {ECOPT2: An adaptable life cycle assessment model for the environmentally constrained optimization of prospective technology transitions},
author = {Christine Roxanne Hung and Paul Kishimoto and Volker Krey and Anders Hammer Strømman and Guillaume Majeau-Bettez},
doi = {10.1111/jiec.13331},
issn = {1088-1980},
year = {2022},
date = {2022-01-01},
journal = {Journal of Industrial Ecology},
volume = {26},
issue = {5},
pages = {1616-1630},
abstract = {Life cycle assessment (LCA) is a method to evaluate the environmental impacts of technologies from cradle to grave. However, LCAs are commonly defined in terms of the consumption of a single unit of a product and thus ignore scaling issues in large-scale deployment of technologies. Such product-level LCAs often do not consider capital manufacturing capacity and supply chain bottlenecks that may hinder the rapid, widespread uptake of emerging technologies entering the market; emerging technologies often require the expansion of existing supply chains or the development of entirely new supply chains, such as the manufacturing of novel materials. As a result, such LCA studies are limited in their ability to realistically assess impacts at the macro-scale and thus to guide large-scale decisions. In this work, we present ECOPT2, a generalized adaptable model that combines these constraints to the LCA approach using a mathematical programming approach and dynamic stock modeling. ECOPT2 combines LCA factors with transition scenarios from energy systems models to determine the environmentally optimal deployment of new technologies while accounting for material circularity constraints and barriers to uptake. We also introduce the structure of the software tool and demonstrate its features using a stylized vehicle electrification scenario.},
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Life cycle assessment (LCA) is a method to evaluate the environmental impacts of technologies from cradle to grave. However, LCAs are commonly defined in terms of the consumption of a single unit of a product and thus ignore scaling issues in large-scale deployment of technologies. Such product-level LCAs often do not consider capital manufacturing capacity and supply chain bottlenecks that may hinder the rapid, widespread uptake of emerging technologies entering the market; emerging technologies often require the expansion of existing supply chains or the development of entirely new supply chains, such as the manufacturing of novel materials. As a result, such LCA studies are limited in their ability to realistically assess impacts at the macro-scale and thus to guide large-scale decisions. In this work, we present ECOPT2, a generalized adaptable model that combines these constraints to the LCA approach using a mathematical programming approach and dynamic stock modeling. ECOPT2 combines LCA factors with transition scenarios from energy systems models to determine the environmentally optimal deployment of new technologies while accounting for material circularity constraints and barriers to uptake. We also introduce the structure of the software tool and demonstrate its features using a stylized vehicle electrification scenario.
Pedneault J; Majeau-Bettez G; Pauliuk S; Margni M
Sector‐specific scenarios for future stocks and flows of aluminum: An analysis based on shared socioeconomic pathways Journal Article
In: Journal of Industrial Ecology, vol. 26, iss. 5, pp. 1728-1746, 2022, ISSN: 1088-1980.
@article{Pedneault2022b,
title = {Sector‐specific scenarios for future stocks and flows of aluminum: An analysis based on shared socioeconomic pathways},
author = { Julien Pedneault and Guillaume Majeau-Bettez and Stefan Pauliuk and Manuele Margni},
doi = {10.1111/jiec.13321},
issn = {1088-1980},
year = {2022},
date = {2022-01-01},
journal = {Journal of Industrial Ecology},
volume = {26},
issue = {5},
pages = {1728-1746},
abstract = {Aluminum is an energy-intensive material that is typically used as an alloy. The environmental impacts caused by its production can potentially be spread out over multiple uses through repeated recycling loops. However, inter-alloy contamination can limit the circularity of aluminum, which highlights the importance of analyzing prospective stock dynamics of aluminum at an alloy and alloying element level to inform a more sustainable management of this resource. A dynamic material flow analysis (MFA) of aluminum alloys was developed in line with the shared socioeconomic pathways (SSP) framework to generate consistent scenarios of the evolution of aluminum stocks and flows from 2015 to 2100 covering 11 economic sectors in 5 world regions. A sector-specific and bottom-up modeling approach was developed. Results show no saturation of global stock per capita before 2100, reaching a range between 200 and 400 kg per capita according to different socioeconomic scenarios. For the business-as-usual scenario, the global annual inflow rises to 100 Mt in 2050 and peaks at 130 Mt in 2090, showing a saturation in total stock. Electricity-sector demand has the highest relative growth over the century, while building and construction demand saturates and decreases from 2090. No major mismatch between inflows and outflows of aluminum alloy is observed. This means that with appropriate dismantling and sorting, changes in alloy demand would not limit the implementation of a closed-loop aluminum industry. This study demonstrates the advantages of combining detailed MFAs and SSPs, both for greater consistency in circular economy modeling and for furthering scenario development efforts. This article met the requirements for a gold-gold JIE data openness badge described at http://jie.click/badges},
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Aluminum is an energy-intensive material that is typically used as an alloy. The environmental impacts caused by its production can potentially be spread out over multiple uses through repeated recycling loops. However, inter-alloy contamination can limit the circularity of aluminum, which highlights the importance of analyzing prospective stock dynamics of aluminum at an alloy and alloying element level to inform a more sustainable management of this resource. A dynamic material flow analysis (MFA) of aluminum alloys was developed in line with the shared socioeconomic pathways (SSP) framework to generate consistent scenarios of the evolution of aluminum stocks and flows from 2015 to 2100 covering 11 economic sectors in 5 world regions. A sector-specific and bottom-up modeling approach was developed. Results show no saturation of global stock per capita before 2100, reaching a range between 200 and 400 kg per capita according to different socioeconomic scenarios. For the business-as-usual scenario, the global annual inflow rises to 100 Mt in 2050 and peaks at 130 Mt in 2090, showing a saturation in total stock. Electricity-sector demand has the highest relative growth over the century, while building and construction demand saturates and decreases from 2090. No major mismatch between inflows and outflows of aluminum alloy is observed. This means that with appropriate dismantling and sorting, changes in alloy demand would not limit the implementation of a closed-loop aluminum industry. This study demonstrates the advantages of combining detailed MFAs and SSPs, both for greater consistency in circular economy modeling and for furthering scenario development efforts. This article met the requirements for a gold-gold JIE data openness badge described at http://jie.click/badges
Kaddoura M; Majeau-Bettez G; Amor B; Moreau C; Margni M
Investigating the role of surface engineering in mitigating greenhouse gas emissions of energy technologies: An outlook towards 2100 Journal Article
In: Sustainable Materials and Technologies, vol. 32, pp. e00425, 2022, ISSN: 22149937.
@article{Kaddoura2022,
title = {Investigating the role of surface engineering in mitigating greenhouse gas emissions of energy technologies: An outlook towards 2100},
author = {Mohamad Kaddoura and Guillaume Majeau-Bettez and Ben Amor and Christian Moreau and Manuele Margni},
doi = {10.1016/j.susmat.2022.e00425},
issn = {22149937},
year = {2022},
date = {2022-01-01},
journal = {Sustainable Materials and Technologies},
volume = {32},
pages = {e00425},
abstract = {Energy improvements in the energy sector constitute a key strategy to mitigate climate change. These expected improvements increasingly depend on the development of materials with improved surface characteristics. To prospectively assess the large-scale benefits and trade-offs of such novel surface engineering (SE) technology deployments in the energy sector, an integrated modelling framework is proposed. This paper links an integrated assessment model (IAM) forecasting socio-economic changes in energy supply with life cycle assessment (LCA) models of targeted technology candidates. Different shared socio-economic pathway narratives are used with the MESSAGE IAM to forecast future energy supply scenarios. A dynamic vintage model is employed to model plants decommissioning and adoption rates of innovative SE. Potential benefits and impacts of SE are assessed through prospective LCA. The approach is used to estimate the prospective GHG emission reduction potential achieved by large-scale adoption of innovative SE technologies to improve the efficiency of four energy conversion technologies (coal power plants, gas turbines, wind turbines and solar panels) until 2100. Applying innovative SE technologies to the energy sector has the potential of reducing annual CO2-eq emissions by 1.8 Gt in 2050 and 3.4 Gt in 2100 in an optimistic socio-economic pathway scenario. This corresponds to 7% and 8.5% annual reduction in the energy sector in 2050 and 2100, respectively. The mitigation potential of applying innovative SE technologies highly depends on the energy technology, the socio-economic pathways, and the implementation of stringent GHG mitigation policies. Due to their high carbon intensity, fossil-based technologies showed a higher GHG mitigation potential compared to renewables. Besides, GHG emissions related to the SE processes are largely offset by the GHG savings of the energy conversion technologies where the innovative SE technologies are applied.},
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Energy improvements in the energy sector constitute a key strategy to mitigate climate change. These expected improvements increasingly depend on the development of materials with improved surface characteristics. To prospectively assess the large-scale benefits and trade-offs of such novel surface engineering (SE) technology deployments in the energy sector, an integrated modelling framework is proposed. This paper links an integrated assessment model (IAM) forecasting socio-economic changes in energy supply with life cycle assessment (LCA) models of targeted technology candidates. Different shared socio-economic pathway narratives are used with the MESSAGE IAM to forecast future energy supply scenarios. A dynamic vintage model is employed to model plants decommissioning and adoption rates of innovative SE. Potential benefits and impacts of SE are assessed through prospective LCA. The approach is used to estimate the prospective GHG emission reduction potential achieved by large-scale adoption of innovative SE technologies to improve the efficiency of four energy conversion technologies (coal power plants, gas turbines, wind turbines and solar panels) until 2100. Applying innovative SE technologies to the energy sector has the potential of reducing annual CO2-eq emissions by 1.8 Gt in 2050 and 3.4 Gt in 2100 in an optimistic socio-economic pathway scenario. This corresponds to 7% and 8.5% annual reduction in the energy sector in 2050 and 2100, respectively. The mitigation potential of applying innovative SE technologies highly depends on the energy technology, the socio-economic pathways, and the implementation of stringent GHG mitigation policies. Due to their high carbon intensity, fossil-based technologies showed a higher GHG mitigation potential compared to renewables. Besides, GHG emissions related to the SE processes are largely offset by the GHG savings of the energy conversion technologies where the innovative SE technologies are applied.
Agez M; Muller E; Patouillard L; Södersten C; Arvesen A; Margni M; Samson R; Majeau-Bettez G
Correcting remaining truncations in hybrid life cycle assessment database compilation Journal Article
In: Journal of Industrial Ecology, vol. 26, iss. 1, pp. 121-133, 2022, ISSN: 15309290.
@article{Agez2022,
title = {Correcting remaining truncations in hybrid life cycle assessment database compilation},
author = {Maxime Agez and Elliot Muller and Laure Patouillard and Carl-Johan Södersten and Anders Arvesen and Manuele Margni and Réjean Samson and Guillaume Majeau-Bettez},
doi = {10.1111/JIEC.13132},
issn = {15309290},
year = {2022},
date = {2022-01-01},
journal = {Journal of Industrial Ecology},
volume = {26},
issue = {1},
pages = {121-133},
publisher = {John Wiley and Sons Inc},
abstract = {Hybrid life cycle assessment (HLCA) strives to combine process-based life cycle assessment (PLCA) and environmentally extended input–output (EEIO) analysis to bridge gaps of both methodologies. The recent development of HLCA databases constitutes a major step forward in achieving complete system coverage. Nevertheless, current applications of HLCA still suffer from issues related to incompleteness of the inventory and data gaps: (1) hybridization without endogenizing the capital inputs of the EEIO database leads to underestimations, (2) the unreliability of price data hinders the application of streamlined HLCA for processes in some sectors, and (3) the sparse coverage of pollutants in multiregional EEIO databases limits the application of HLCA to a handful of impact categories. This paper aims at offering a methodology for tackling these issues in a streamlined manner and visualizing their effects on impact scores across an entire PLCA database and multiple impact categories. Data reconciliation algorithms are demonstrated on the PLCA database ecoinvent3.5 and the multiregional EEIO database EXIOBASE3. Instead of performing hybridization solely with annual product requirements, this hybridization approach incorporates endogenized capital requirements, demonstrates a novel hybridization methodology to bypass issues of price unavailability, estimates new pollutants to EXIOBASE3 environmental extensions, and thus yields improved inventories characterized in terms of 13 impact categories from the IMPACT World+ methodology. The effect of hybridization on the impact score of each process of ecoinvent3.5 varied from a few percentages to three-fold increases, depending on the impact category and the process studied, displaying in which cases hybridization should be prioritized. This article met the requirements for a Gold—Gold JIE data openness badge described at http://jie.click/badges.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hybrid life cycle assessment (HLCA) strives to combine process-based life cycle assessment (PLCA) and environmentally extended input–output (EEIO) analysis to bridge gaps of both methodologies. The recent development of HLCA databases constitutes a major step forward in achieving complete system coverage. Nevertheless, current applications of HLCA still suffer from issues related to incompleteness of the inventory and data gaps: (1) hybridization without endogenizing the capital inputs of the EEIO database leads to underestimations, (2) the unreliability of price data hinders the application of streamlined HLCA for processes in some sectors, and (3) the sparse coverage of pollutants in multiregional EEIO databases limits the application of HLCA to a handful of impact categories. This paper aims at offering a methodology for tackling these issues in a streamlined manner and visualizing their effects on impact scores across an entire PLCA database and multiple impact categories. Data reconciliation algorithms are demonstrated on the PLCA database ecoinvent3.5 and the multiregional EEIO database EXIOBASE3. Instead of performing hybridization solely with annual product requirements, this hybridization approach incorporates endogenized capital requirements, demonstrates a novel hybridization methodology to bypass issues of price unavailability, estimates new pollutants to EXIOBASE3 environmental extensions, and thus yields improved inventories characterized in terms of 13 impact categories from the IMPACT World+ methodology. The effect of hybridization on the impact score of each process of ecoinvent3.5 varied from a few percentages to three-fold increases, depending on the impact category and the process studied, displaying in which cases hybridization should be prioritized. This article met the requirements for a Gold—Gold JIE data openness badge described at http://jie.click/badges.
Majeau-Bettez G; Frayret J M; Ramaswami A; Li Y; Heeren N
Data innovation in industrial ecology Journal Article
In: Journal of Industrial Ecology, vol. 26, iss. 1, pp. 6-11, 2022, ISSN: 15309290.
@article{Majeau-Bettez2022,
title = {Data innovation in industrial ecology},
author = {Guillaume Majeau-Bettez and Jean Marc Frayret and Anu Ramaswami and Yang Li and Niko Heeren},
doi = {10.1111/JIEC.13256},
issn = {15309290},
year = {2022},
date = {2022-01-01},
journal = {Journal of Industrial Ecology},
volume = {26},
issue = {1},
pages = {6-11},
publisher = {John Wiley and Sons Inc},
keywords = {},
pubstate = {published},
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2021
Pedneault J; Majeau-Bettez G; Pauliuk S; Margni M
Future metal stock and flows by sector based on Shared Socioeconomic Pathways - The example of aluminium alloys Proceedings Article
In: SAM15, 2021.
@inproceedings{Pednault2021,
title = {Future metal stock and flows by sector based on Shared Socioeconomic Pathways - The example of aluminium alloys},
author = {Julien Pedneault and Guillaume Majeau-Bettez and Stefan Pauliuk and Manuele Margni},
year = {2021},
date = {2021-01-01},
booktitle = {SAM15},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Kaddoura M; Majeau-Bettez G; Amor B; Moreau C; Margni M
Linking Life Cycle Assessment and Integrated Assessment Models for Prospective Modelling: A Case Study of Emerging Surface Engineering Technologies in Energy Systems Proceedings Article
In: ACLCA conference, 2021.
@inproceedings{Kaddoura2021,
title = {Linking Life Cycle Assessment and Integrated Assessment Models for Prospective Modelling: A Case Study of Emerging Surface Engineering Technologies in Energy Systems},
author = {Mohamad Kaddoura and Guillaume Majeau-Bettez and Ben Amor and Christian Moreau and Manuele Margni},
year = {2021},
date = {2021-01-01},
booktitle = {ACLCA conference},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hung C R; Völler S; Agez M; Majeau-Bettez G; Strømman A H
Regionalized climate footprints of battery electric vehicles in Europe Journal Article
In: Journal of Cleaner Production, vol. 322, pp. 129052, 2021, ISSN: 0959-6526.
@article{Hung2021,
title = {Regionalized climate footprints of battery electric vehicles in Europe},
author = {Christine Roxanne Hung and Steve Völler and Maxime Agez and Guillaume Majeau-Bettez and Anders Hammer Strømman},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0959652621032418},
doi = {10.1016/J.JCLEPRO.2021.129052},
issn = {0959-6526},
year = {2021},
date = {2021-01-01},
journal = {Journal of Cleaner Production},
volume = {322},
pages = {129052},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
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}
Tilsted J P; Bjørn A; Majeau-Bettez G; Lund J F
Accounting matters: Revisiting claims of decoupling and genuine green growth in Nordic countries Journal Article
In: Ecological Economics, vol. 187, pp. 107101, 2021, ISSN: 0921-8009.
@article{Tilsted2021,
title = {Accounting matters: Revisiting claims of decoupling and genuine green growth in Nordic countries},
author = {Joachim Peter Tilsted and Anders Bjørn and Guillaume Majeau-Bettez and Jens Friis Lund},
doi = {10.1016/J.ECOLECON.2021.107101},
issn = {0921-8009},
year = {2021},
date = {2021-01-01},
journal = {Ecological Economics},
volume = {187},
pages = {107101},
publisher = {Elsevier},
abstract = {Ecological modernisation in the form of support to the notion of green growth remains the dominant discourse in environmental policy globally. Still, questions of limits to economic expansion and growth on a planet with finite natural resources have been at the core of environmental discourses at least since the 1970's. A recent effort by Stoknes and Rockström (2018) seeks to unite notions of ecological limits with the concept of green growth by proposing genuine green growth as denoting a situation when growth respects planetary boundaries. Focusing on recent trajectories in emissions intensity, they highlight Nordic countries including Denmark as examples of such genuine green growth. In this article, we demonstrate that the specific conceptualization of genuine green growth and resulting claims about the Nordic countries rest on particular assumptions, specifically concerning national-level carbon accounting frameworks and the size of the remaining global carbon budget. By opening up these assumptions for analysis we illustrate the partiality and potentially misleading nature of the conceptualization of GGG.},
keywords = {},
pubstate = {published},
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}
Ecological modernisation in the form of support to the notion of green growth remains the dominant discourse in environmental policy globally. Still, questions of limits to economic expansion and growth on a planet with finite natural resources have been at the core of environmental discourses at least since the 1970's. A recent effort by Stoknes and Rockström (2018) seeks to unite notions of ecological limits with the concept of green growth by proposing genuine green growth as denoting a situation when growth respects planetary boundaries. Focusing on recent trajectories in emissions intensity, they highlight Nordic countries including Denmark as examples of such genuine green growth. In this article, we demonstrate that the specific conceptualization of genuine green growth and resulting claims about the Nordic countries rest on particular assumptions, specifically concerning national-level carbon accounting frameworks and the size of the remaining global carbon budget. By opening up these assumptions for analysis we illustrate the partiality and potentially misleading nature of the conceptualization of GGG.
2020
Viau S; Majeau-Bettez G; Spreutels L; Legros R; Margni M; Samson R
Substitution modelling in life cycle assessment of municipal solid waste management Journal Article
In: Waste Management, vol. 102, pp. 795-803, 2020, ISSN: 0956053X.
@article{Viaua,
title = {Substitution modelling in life cycle assessment of municipal solid waste management},
author = {Stéphanie Viau and Guillaume Majeau-Bettez and Laurent Spreutels and Robert Legros and Manuele Margni and Réjean Samson},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0956053X1930738X},
doi = {10.1016/j.wasman.2019.11.042},
issn = {0956053X},
year = {2020},
date = {2020-01-01},
journal = {Waste Management},
volume = {102},
pages = {795-803},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Agez M; Majeau-Bettez G; Margni M; Strømman A H; Samson R
Lifting the veil on the correction of double counting incidents in hybrid life cycle assessment Journal Article
In: Journal of Industrial Ecology, 2020.
@article{Agez2019a,
title = {Lifting the veil on the correction of double counting incidents in hybrid life cycle assessment},
author = {Maxime Agez and Guillaume Majeau-Bettez and Manuele Margni and Anders Hammer Strømman and Réjean Samson},
doi = {https://doi.org/10.1111/jiec.12945},
year = {2020},
date = {2020-01-01},
journal = {Journal of Industrial Ecology},
keywords = {},
pubstate = {published},
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Lonca G; Lesage P; Majeau-Bettez G; Bernard S; Margni M
Assessing scaling effects of circular economy strategies: A case study on plastic bottle closed-loop recycling in the USA PET market Journal Article
In: Resources, Conservation and Recycling, vol. 162, pp. 105013, 2020, ISSN: 09213449.
@article{Lonca2020a,
title = {Assessing scaling effects of circular economy strategies: A case study on plastic bottle closed-loop recycling in the USA PET market},
author = {Geoffrey Lonca and Pascal Lesage and Guillaume Majeau-Bettez and Sophie Bernard and Manuele Margni},
url = {https://linkinghub.elsevier.com/retrieve/pii/S092134492030330X},
doi = {10.1016/j.resconrec.2020.105013},
issn = {09213449},
year = {2020},
date = {2020-01-01},
journal = {Resources, Conservation and Recycling},
volume = {162},
pages = {105013},
keywords = {},
pubstate = {published},
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}
Hung C R; Ellingsen L A; Majeau-Bettez G
LiSET: A Framework for Early-Stage Life Cycle Screening of Emerging Technologies Journal Article
In: Journal of Industrial Ecology, vol. 24, iss. 1, SI, 2020, ISSN: 1088-1980.
@article{ISI:000512553700020,
title = {LiSET: A Framework for Early-Stage Life Cycle Screening of Emerging Technologies},
author = {Christine Roxanne Hung and Linda Ager-Wick Ellingsen and Guillaume Majeau-Bettez},
doi = {10.1111/jiec.12807},
issn = {1088-1980},
year = {2020},
date = {2020-01-01},
journal = {Journal of Industrial Ecology},
volume = {24},
issue = {1, SI},
publisher = {WILEY},
abstract = {While life cycle assessment (LCA) is a tool often used to evaluate the environmental impacts of products and technologies, the amount of data required to perform such studies make the evaluation of emerging technologies using the conventional LCA approach challenging. The development paradox is such that the inputs from a comprehensive environmental assessment has the greatest effect early in the development phase, and yet the data required to perform such an assessment are generally lacking until it is too late. Previous attempts to formalize strategies for performing streamlined or screening LCAs were made in the late 1990s and early 2000s, mostly to rapidly compare the environmental performance of product design candidates. These strategies lack the transparency and consistency required for the environmental screening of large numbers of early-development candidates, for which data are even sparser. We propose the Lifecycle Screening of Emerging Technologies method (LiSET). LiSET is an adaptable screening-to-LCA method that uses the available data to systematically and transparently evaluate the environmental performance of technologies at low readiness levels. Iterations follow technological development and allow a progression to a full LCA if desired. In early iterations, LiSET presents results in a matrix structure combined with a ``traffic light'' color grading system. This format inherently communicates the high uncertainty of analysis at this stage and presents numerous environmental aspects assessed. LiSET takes advantage of a decomposition analysis and data not traditionally used in LCAs to gain insight to the life cycle impacts and ensure that the most environmentally sustainable technologies are adopted.},
keywords = {},
pubstate = {published},
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}
While life cycle assessment (LCA) is a tool often used to evaluate the environmental impacts of products and technologies, the amount of data required to perform such studies make the evaluation of emerging technologies using the conventional LCA approach challenging. The development paradox is such that the inputs from a comprehensive environmental assessment has the greatest effect early in the development phase, and yet the data required to perform such an assessment are generally lacking until it is too late. Previous attempts to formalize strategies for performing streamlined or screening LCAs were made in the late 1990s and early 2000s, mostly to rapidly compare the environmental performance of product design candidates. These strategies lack the transparency and consistency required for the environmental screening of large numbers of early-development candidates, for which data are even sparser. We propose the Lifecycle Screening of Emerging Technologies method (LiSET). LiSET is an adaptable screening-to-LCA method that uses the available data to systematically and transparently evaluate the environmental performance of technologies at low readiness levels. Iterations follow technological development and allow a progression to a full LCA if desired. In early iterations, LiSET presents results in a matrix structure combined with a ``traffic light'' color grading system. This format inherently communicates the high uncertainty of analysis at this stage and presents numerous environmental aspects assessed. LiSET takes advantage of a decomposition analysis and data not traditionally used in LCAs to gain insight to the life cycle impacts and ensure that the most environmentally sustainable technologies are adopted.
Agez M; Wood R; Margni M; Strømman A H; Majeau-Bettez G
Hybridization of complete LCA and MRIO databases for a comprehensive product system coverage Journal Article
In: Journal of Industrial Ecology, 2020.
@article{Ageza,
title = {Hybridization of complete LCA and MRIO databases for a comprehensive product system coverage},
author = {Maxime Agez and Richard Wood and Manuele Margni and Anders Hammer Strømman and Guillaume Majeau-Bettez},
url = {ttps://doi.org/10.1111/jiec.12979},
doi = {10.1111/jiec.12979},
year = {2020},
date = {2020-01-01},
journal = {Journal of Industrial Ecology},
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Pedneault J; Majeau-Bettez G; Margni M
What future for primary aluminium production in a decarbonizing economy? Proceedings Article
In: 76th LCA Discussion Forum, 2020.
@inproceedings{PedneaultJulienMajeau-Bettez2020,
title = {What future for primary aluminium production in a decarbonizing economy?},
author = {Julien Pedneault and Guillaume Majeau-Bettez and Manuele Margni},
year = {2020},
date = {2020-01-01},
booktitle = {76th LCA Discussion Forum},
keywords = {},
pubstate = {published},
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Pedneault J; Majeau-Bettez G; Margni M
Improving circularity of aluminum industry using operations research Proceedings Article
In: ACLCA 2020, 2020.
@inproceedings{Pednault2020,
title = {Improving circularity of aluminum industry using operations research},
author = {Julien Pedneault and Guillaume Majeau-Bettez and Manuele Margni},
year = {2020},
date = {2020-01-01},
booktitle = {ACLCA 2020},
keywords = {},
pubstate = {published},
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}
Kaddoura M; Majeau-Bettez G; Amor B; Margni M
Soft-linking LCA and IAM for Prospective Modelling: The Case of Emerging Surface Engineering Technologies in Energy Systems Proceedings Article
In: 76th LCA Forum, 2020.
@inproceedings{Kaddoura2020,
title = {Soft-linking LCA and IAM for Prospective Modelling: The Case of Emerging Surface Engineering Technologies in Energy Systems},
author = {Mohamad Kaddoura and Guillaume Majeau-Bettez and Ben Amor and Manuele Margni},
url = {https://video.ethz.ch/events/lca/2020/autumn/76th/03ab2d11-4754-4a35-b8db-470f0dd7d70a.html},
year = {2020},
date = {2020-01-01},
booktitle = {76th LCA Forum},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2018
Ellingsen L A; Holland A; Drillet J; Peters W; Eckert M; Concepcion C; Ruiz O; Colin J; Knipping E; Pan Q; Wills R; Majeau-Bettez G
Environmental Screening of Electrode Materials for a Rechargeable Aluminum Battery with an AlCl3/EMIMCl Electrolyte Journal Article
In: Materials, vol. 11, iss. 6, pp. 936, 2018, ISSN: 1996-1944.
@article{Ellingsen2018,
title = {Environmental Screening of Electrode Materials for a Rechargeable Aluminum Battery with an AlCl3/EMIMCl Electrolyte},
author = {Linda Ager-Wick Ellingsen and Alex Holland and Jean-Francois Drillet and Willi Peters and Martin Eckert and Carlos Concepcion and Oscar Ruiz and Jean-François Colin and Etienne Knipping and Qiaoyan Pan and Richard Wills and Guillaume Majeau-Bettez},
doi = {10.3390/ma11060936},
issn = {1996-1944},
year = {2018},
date = {2018-01-01},
journal = {Materials},
volume = {11},
issue = {6},
pages = {936},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Somé A; Dandres T; Gaudreault C; Majeau-Bettez G; Wood R; Samson R
Coupling Input-Output Tables with Macro-Life Cycle Assessment to Assess Worldwide Impacts of Biofuels Transport Policies Journal Article
In: Journal of Industrial Ecology, vol. 22, iss. 4, pp. 634-655, 2018, ISSN: 10881980.
@article{RN64,
title = {Coupling Input-Output Tables with Macro-Life Cycle Assessment to Assess Worldwide Impacts of Biofuels Transport Policies},
author = {Audrey Somé and Thomas Dandres and Caroline Gaudreault and Guillaume Majeau-Bettez and Richard Wood and Réjean Samson},
url = {http://doi.wiley.com/10.1111/jiec.12640},
doi = {10.1111/jiec.12640},
issn = {10881980},
year = {2018},
date = {2018-01-01},
journal = {Journal of Industrial Ecology},
volume = {22},
issue = {4},
pages = {634-655},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Majeau-Bettez G; Spreutels L; Tanguay-Rioux F; Viau S; Samson R; Legros R
Toward a parametrized and modular framework based on the integration of MFA and LCA for optimization of municipal solid wastes management Proceedings Article
In: 2nd Conference on Life Cycle Assessment of Waste 2018, 2018.
@inproceedings{RN122,
title = {Toward a parametrized and modular framework based on the integration of MFA and LCA for optimization of municipal solid wastes management},
author = {Guillaume Majeau-Bettez and Laurent Spreutels and Fabrice Tanguay-Rioux and Stéphanie Viau and Réjean Samson and Robert Legros},
year = {2018},
date = {2018-01-01},
booktitle = {2nd Conference on Life Cycle Assessment of Waste 2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hertwich E; Heeren N; Brandon K; Majeau-Bettez G; Myers R J; Pauliuk S; Stadler K; Lifset R
Nullius in Verba: Advancing Data Transparency in Industrial Ecology Journal Article
In: Journal of Industrial Ecology, vol. 22, iss. 1, pp. 6-17, 2018, ISSN: 10881980.
@article{RN120,
title = {Nullius in Verba: Advancing Data Transparency in Industrial Ecology},
author = {Edgar Hertwich and Niko Heeren and Kuczenski Brandon and Guillaume Majeau-Bettez and Rupert J. Myers and Stefan Pauliuk and Konstantin Stadler and Reid Lifset},
url = {http://doi.wiley.com/10.1111/jiec.12738},
doi = {10.1111/jiec.12738},
issn = {10881980},
year = {2018},
date = {2018-01-01},
journal = {Journal of Industrial Ecology},
volume = {22},
issue = {1},
pages = {6-17},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2017
Stadler K; Lonka R; Bouman E; Majeau-Bettez G; Strømman A H
The Industrial Ecology Digital Lab Proceedings Article
In: EnviroInfo 2017, pp. 1-8, 2017.
@inproceedings{Stadler2017a,
title = {The Industrial Ecology Digital Lab},
author = {Konstantin Stadler and Radek Lonka and Evert Bouman and Guillaume Majeau-Bettez and Anders Hammer Strømman},
url = {https://doi.org/10.5281/zenodo.997903},
doi = {10.5281/zenodo.997903},
year = {2017},
date = {2017-01-01},
booktitle = {EnviroInfo 2017},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Majeau-Bettez G; Agez M; Wood R; Södersten C; Margni M; Strømman A H; Samson R
Streamlined Hybridization software: merging Ecoinvent and Exiobase Proceedings Article
In: Biennial Conference of the International Society for Industrial Ecology, 2017.
@inproceedings{RN68,
title = {Streamlined Hybridization software: merging Ecoinvent and Exiobase},
author = {Guillaume Majeau-Bettez and Maxime Agez and Richard Wood and Carl-Johan Södersten and Manuele Margni and Anders Hammer Strømman and Réjean Samson},
url = {http://programme.exordo.com/isie2017/delegates/presentation/285/},
year = {2017},
date = {2017-01-01},
booktitle = {Biennial Conference of the International Society for Industrial Ecology},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Bjørn A; Majeau-Bettez G; Wood R; Margni M; Bulle C
Absolute sustainability assessment of product life cycles through downscaling of planetary boundary to industry level Proceedings Article
In: ISIE/ISSST 2017 Joint Conference, 2017.
@inproceedings{Bjørn2017a,
title = {Absolute sustainability assessment of product life cycles through downscaling of planetary boundary to industry level},
author = {Anders Bjørn and Guillaume Majeau-Bettez and Richard Wood and Manuele Margni and Cécile Bulle},
year = {2017},
date = {2017-01-01},
booktitle = {ISIE/ISSST 2017 Joint Conference},
keywords = {},
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Majeau-Bettez G; Dandres T; Pauliuk S; Wood R; Hertwich E; Samson R; Strømman A H
Choice of Allocations and Constructs for Attributional or Consequential Life Cycle Assessment and Input-Output Analysis Journal Article
In: Journal of Industrial Ecology, pp. 1-15, 2017, ISSN: 10881980.
@article{RN66,
title = {Choice of Allocations and Constructs for Attributional or Consequential Life Cycle Assessment and Input-Output Analysis},
author = {Guillaume Majeau-Bettez and Thomas Dandres and Stefan Pauliuk and Richard Wood and Edgar Hertwich and Réjean Samson and Anders Hammer Strømman},
url = {http://doi.wiley.com/10.1111/jiec.12604},
doi = {10.1111/jiec.12604},
issn = {10881980},
year = {2017},
date = {2017-01-01},
journal = {Journal of Industrial Ecology},
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Majeau-Bettez G; Cherubini F; Strømman A H; Samson R
Respecting material and energy balances in attributional LCA: reducing the influence of allocation Proceedings Article
In: SETAC Europe 27th Annual Meeting, 2017.
@inproceedings{RN71,
title = {Respecting material and energy balances in attributional LCA: reducing the influence of allocation},
author = {Guillaume Majeau-Bettez and Francesco Cherubini and Anders Hammer Strømman and Réjean Samson},
url = {http://www.irt-m2p.eu/UserFiles/File/inscription-sam/sam-11-preliminary-program.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {SETAC Europe 27th Annual Meeting},
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}
Majeau-Bettez G; Bjørn A; Wood R; Margni M; Bulle C
Absolute sustainability assessment of product life cycles through calculation of carrying capacity entitlement at industry level Proceedings Article
In: SETAC Europe 27th Annual Meeting, 2017.
@inproceedings{RN69,
title = {Absolute sustainability assessment of product life cycles through calculation of carrying capacity entitlement at industry level},
author = {Guillaume Majeau-Bettez and Anders Bjørn and Richard Wood and Manuele Margni and Cécile Bulle},
url = {http://meetings.setac.org/presentation/listForPublic?session_id=4353},
year = {2017},
date = {2017-01-01},
booktitle = {SETAC Europe 27th Annual Meeting},
keywords = {},
pubstate = {published},
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Majeau-Bettez G; Agez M; Wood R; Margni M; Strømman A H; Samson R
Hybridizing Ecoinvent and Exiobase with streamlined methods and open-source software Proceedings Article
In: SETAC Europe 27th Annual Meeting, 2017.
@inproceedings{RN67,
title = {Hybridizing Ecoinvent and Exiobase with streamlined methods and open-source software},
author = {Guillaume Majeau-Bettez and Maxime Agez and Richard Wood and Manuele Margni and Anders Hammer Strømman and Réjean Samson},
url = {http://meetings.setac.org/presentation/listForPublic?session_id=4355},
year = {2017},
date = {2017-01-01},
booktitle = {SETAC Europe 27th Annual Meeting},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
