Laure Patouillard

@article{Bolay2024,

title = {What drives companies’ progress on their emission reduction targets?},

author = {Anne-France Bolay and Anders Bjørn and Laure Patouillard and Olaf Weber and Manuele Margni},

doi = {10.1016/j.jclepro.2024.143124},

issn = {09596526},

year  = {2024},

date = {2024-01-01},

journal = {Journal of Cleaner Production},

volume = {468},

pages = {143124},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{LHaridon2023,

title = {SPOT: A Strategic Life-Cycle-Assessment-Based Methodology and Tool for Cosmetic Product Eco-Design},

author = {Jacques L’Haridon and Laure Patouillard and Julien Pedneault and Anne-Marie Boulay and François Witte and Marcial Vargas-Gonzalez and Philippe Bonningue and Isabelle Rollat and Thierry Blanchard and Gabriel Goncalves and Alice Hervio and Laurent Gilbert},

doi = {10.3390/su151914321},

issn = {2071-1050},

year  = {2023},

date = {2023-01-01},

journal = {Sustainability},

volume = {15},

issue = {19},

pages = {14321},

abstract = {<p>The cosmetics industry is facing growing pressure to offer more sustainable products, which can be tackled by applying eco-design. This article aims to present the Sustainable Product Optimization Tool (SPOT) methodology developed by L’Oréal to eco-design its cosmetic products and the strategies adopted for its implementation while presenting the challenges encountered along the way. The SPOT methodology is based on the life cycle assessment (LCA) of a finished product and its subsystems (formula, packaging, manufacturing and distribution). Several environmental indicators are assessed, normalized and weighted based on the planetary boundaries concept, and then aggregated into a single footprint. A product sustainability index (a single rating, easy to interpret) is then obtained by merging the environmental product rating derived from the single environmental footprint with the social rating (not covered here). The use of the SPOT method is shown by two case studies. The implementation of SPOT, based on specific strategic and managerial measures (corporate and brand targets, Key Performance Indicators, and financial incentives) is discussed. These measures have enabled L’Oréal to have 97% of their products stated as eco-designed in 2022. SPOT shows how eco-design can be implemented on a large scale without compromising scientific robustness. Eco-design tools must strike the right balance between the complexity of the LCA and the ease of interpretation of the results, and have a robust implementation plan to ensure a successful eco-design strategy.</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zhang2023,

title = {Remarkable Spatial Disparity of Life Cycle Inventory for Coal Production in China},

author = {You Zhang and Xuewei Liu and Laure Patouillard and Manuele Margni and Cécile Bulle and Hui Hua and Zengwei Yuan},

doi = {10.1021/acs.est.3c01860},

issn = {0013-936X},

year  = {2023},

date = {2023-01-01},

journal = {Environmental Science & Technology},

volume = {57},

issue = {41},

pages = {15443-15453},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@article{Lathuillire2021,

title = {A Commodity Supply Mix for More Regionalized Life Cycle Assessments},

author = {Michael J. Lathuillière and Laure Patouillard and Manuele Margni and Ben Ayre and Pernilla Löfgren and Vivian Ribeiro and Chris West and Toby A. Gardner and Clément Suavet},

doi = {10.1021/acs.est.1c03060},

issn = {0013-936X},

year  = {2021},

date = {2021-01-01},

journal = {Environmental Science & Technology},

volume = {55},

issue = {17},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ISI:000581884200001,

title = {Life cycle assessment applying planetary and regional boundaries to the process level: a model case study},

author = {Anders Bjørn and Sarah Sim and Henry King and Laure Patouillard and Manuele Margni and Michael Zwicky Hauschild and Morten Ryberg},

doi = {10.1007/s11367-020-01823-8},

year  = {2020},

date = {2020-01-01},

journal = {The International Journal of Life Cycle Assessment},

volume = {25},

issue = {11},

pages = {2241-2254},

publisher = {SPRINGER HEIDELBERG},

abstract = {Purpose The planetary boundaries framework contains regional boundaries in addition to global boundaries. Geographically resolved methods to assess regional environmental impacts are therefore needed. Existing planetary boundaries-based life cycle assessment (PB-LCA) methods have limited geographical resolution or are not applicable to full product systems, due to high spatial requirements on inventory data. Here, we enable PB-LCA of full product systems across a comprehensive set of regional and global PB impact categories. Methods We propose comparing environmental impacts of individual processes within a product system to assigned shares of regional or global safe operating space (SOS). This is followed by aggregation of process-level results so that accumulated exceedance of assigned SOS is derived across the entire life cycle. We then present a procedure for aggregating geographically resolved characterization factors (CFs) and SOS to country, continent and global levels, ensuring compatibility with typical life cycle inventory results. We then apply the new techniques to a model laundry case study. It involves 61 selected processes, two geographically resolved PB-LCA methods, related to impacts from freshwater use and nitrogen emissions, and a largely spatially generic PB-LCA method that covers a comprehensive set of impact categories. Results and discussion The calculation of accumulated exceedance of assigned SOS may help inform decisions about where in a life cycle to focus impact reduction efforts most urgently. The number of case study processes that exceed their assigned SOS differs when applying the geographically resolved methods, as opposed to the largely spatially generic method. Case study results differ greatly across PB-LCA impact categories, reaffirming the importance of covering a comprehensive set. Geographically resolved methods are needed for all regional impact categories and software support would be advantageous. Existing methods will require periodic updates to reflect ongoing advancements in PB science. Best practice approaches or a consensus for assigning regional SOS to processes are needed. Conclusions and outlook Our study provides a step towards greater operability of geographically resolved PB-LCA methods by enabling application to a full product system within an assessment that covers a comprehensive set of impact categories. The case study application shows potential advantages of the process-level approach and points to the need for quantifying uncertainties in such assessments. Future studies should seek to explore the potential role of PB-LCA in decision support compared with conventional LCA.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ISI:000545188200001,

title = {Prioritizing regionalization to enhance interpretation in consequential life cycle assessment: application to alternative transportation scenarios using partial equilibrium economic modeling},

author = {Laure Patouillard and Daphne Lorne and Pierre Collet and Cécile Bulle and Manuele Margni},

doi = {10.1007/s11367-020-01785-x},

year  = {2020},

date = {2020-01-01},

journal = {The International Journal of Life Cycle Assessment},

volume = {25},

issue = {12},

pages = {2325-2341},

publisher = {SPRINGER HEIDELBERG},

abstract = {Purpose Consequential life cycle assessment (C-LCA) aims to assess the environmental consequences of a decision. It differs from traditional LCA because its inventory includes all the processes affected by the decision which are identified by accounting for causal links (physical, economic, etc.). However, C-LCA results could be quite uncertain which makes the interpretation phase harder. Therefore, strategies to assess and reduce uncertainty in C-LCA are needed. Part of uncertainty in C-LCA is due to spatial variability that can be reduced using regionalization. However, regionalization can be complex and time-consuming if straightforwardly applied to an entire LCA model. Methods The main purpose of this article is to prioritize regionalization efforts to enhance interpretation in C-LCA by assessing the spatial uncertainty of a case study building on a partial equilibrium economic model. Three specific objectives are derived: (1) perform a C-LCA case study of alternative transportation scenarios to investigate the benefits of implementing a public policy for energy transition in France by 2050 with an uncertainty analysis to explore the strength of our conclusions, (2) perform global sensitivity analyses to identify and quantify the main sources of spatial uncertainty between foreground inventory model from partial equilibrium economic modeling, background inventory model and characterization factors, (3) propose a strategy to reduce the spatial uncertainty for our C-LCA case study by prioritizing regionalization. Results and discussion Results show that the implementation of alternative transport scenarios in compliance with public policy for the energy transition in France is beneficial for some impact categories (ICs) (global warming, marine acidification, marine eutrophication, terrestrial acidification, thermally polluted water, photochemical oxidant formation, and particulate matter formation), with a confidence level of 95%. For other ICs, uncertainty reduction is required to determine conclusions with a similar level of confidence. Input variables with spatial variability from the partial equilibrium economic model are significant contributors to the C-LCA spatial uncertainty and should be prioritized for spatial uncertainty reduction. In addition, characterization factors are significant contributors to the spatial uncertainty results for all regionalized ICs (except land occupation IC). Conclusions Ways to reduce the spatial uncertainty from economic modeling should be explored. Uncertainty reduction to enhance the interpretation phase and the decision-making should be prioritized depending on the goal and scope of the LCA study. In addition, using regionalized CFs in C-LCA seems to be relevant, and C-LCA calculation tools should be adapted accordingly.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Patouillard2019a,

title = {Prioritizing regionalization efforts in life cycle assessment through global sensitivity analysis: a sector meta-analysis based on ecoinvent v3},

author = {Laure Patouillard and Pierre Collet and Pascal Lesage and Pablo Tirado Seco and Cécile Bulle and Manuele Margni},

doi = {10.1007/s11367-019-01635-5},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {The International Journal of Life Cycle Assessment},

pages = {1-17},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bulle2019,

title = {IMPACT World+: a globally regionalized life cycle impact assessment method},

author = {Cécile Bulle and Manuele Margni and Laure Patouillard and Anne-Marie Boulay and Guillaume Bourgault and Vincent De Bruille and Viêt Cao and Michael Zwicky Hauschild and Andrew D. Henderson and Sebastien Humbert and Sormeh Kashef-Haghighi and Anna Kounina and Alexis Laurent and Annie Levasseur and Gladys Liard and Ralph K. Rosenbaum and Pierre-Olivier Roy and Shanna Shaked and Peter Fantke and Olivier Jolliet},

url = {https://doi.org/10.1007/s11367-019-01583-0},

doi = {10.1007/s11367-019-01583-0},

issn = {1614-7502},

year  = {2019},

date = {2019-01-01},

journal = {The International Journal of Life Cycle Assessment},

abstract = {This paper addresses the need for a globally regionalized method for life cycle impact assessment (LCIA), integrating multiple state-of-the-art developments as well as damages on water and carbon areas of concern within a consistent LCIA framework. This method, named IMPACT World+, is the update of the IMPACT 2002+, LUCAS, and EDIP methods. This paper first presents the IMPACT World+ novelties and results and then analyzes the spatial variability for each regionalized impact category.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mutel2018a,

title = {Overview and recommendations for regionalized life cycle impact assessment},

author = {Christopher Mutel and Xun Liao and Laure Patouillard and Jane Bare and Peter Fantke and Rolf Frischknecht and Michael Zwicky Hauschild and Olivier Jolliet and Danielle Maia Souza and Alexis Laurent and Stephan Pfister and Francesca Verones},

year  = {2018},

date = {2018-01-01},

journal = {The International Journal of Life Cycle Assessment},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN168,

title = {Critical review and practical recommendations to integrate the spatial dimension in Life Cycle Assessment},

author = {Laure Patouillard and Cécile Bulle and Cécile Querleu and Dominique Maxime and Philippe Osset and Manuele Margni},

year  = {2018},

date = {2018-01-01},

journal = {Journal of Cleaner Production.},

volume = {177},

pages = {398-412},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mikhaylin2018,

title = {Milk protein production by a more environmentally sustainable process: bipolar membrane electrodialysis coupled with ultrafiltration},

author = {Sergey Mikhaylin and Laure Patouillard and Manuele Margni and Laurent Bazinet},

url = {http://xlink.rsc.org/?DOI=C7GC02154B},

doi = {10.1039/C7GC02154B},

issn = {1463-9262},

year  = {2018},

date = {2018-01-01},

journal = {Green Chemistry},

volume = {20},

issue = {2},

pages = {449-456},

abstract = {Bipolar membrane electrodialysis coupled with ultrafiltration is an environmentally sustainable technology for milk protein production.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN78,

title = {LCIA framework and crosscutting issues guidance within the UNEP-SETAC Life Cycle Initiative},

author = {Francesca Verones and Jane Bare and Cécile Bulle and Rolf Frischknecht and Michael Zwicky Hauschild and Stefanie Hellweg and Andrew D. Henderson and Olivier Jolliet and Alexis Laurent and Xun Liao and Jan Paul Lindner and Danielle Maia Souza and Ottar Michelsen and Laure Patouillard and Stephan Pfister and Léo Posthuma and Valentina Prado and Brad Ridoutt and Ralph K. Rosenbaum and Serenella Sala and Cássia Maria Lie Ugaya and Marisa Vieira and Peter Fantke},

year  = {2017},

date = {2017-01-01},

journal = {Journal of Cleaner Production},

volume = {161},

pages = {957-967},

keywords = {},

pubstate = {published},

tppubtype = {article}

}