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Cours scientifiques - CHI665 : Life cycle assessment and other tools to ecodesign ecotechnologies II (advanced course)


Advanced LCA

The aim of Life Cycle Assessment (LCA) course option is to describe why and how to practice LCA thanks to some advanced methodologies. It provides the fundamental notions required to explore the functionality issues, to use spatialization and data visualisation tools and to improve the appropriation of LCA results (simplified modelling and multi-criteria analysis) in decision-making process. Students will have to carry out a specific question concerning the use of advanced methodologies to perform LCA.


Teaching staff

- Lynda Aissani, Research Engineer, INRAE

- Pierre Thiriet, Research Engineer, INRAE

- Samuel Le Féon, Research Engineer, INRAE

Diplôme(s) concerné(s)

Parcours de rattachement

domaines Saclay

ODD 6 Eau propre et assainissement, ODD 9 Industrie, Innovation et Infrastructure, ODD 12 Consommation et production responsables, ODD 15 Vie terrestre, ODD 8 Travail décent et croissance économique.

Format des notes

Numérique sur 20

Littérale/grade réduit

Pour les étudiants du diplôme MScT-Environmental Engineering and Sustainability Management

Le rattrapage est autorisé
    L'UE est acquise si note finale transposée >= C
    • Crédits ECTS acquis : 5 ECTS

    La note obtenue rentre dans le calcul de votre GPA.

    Pour les étudiants du diplôme Programmes d'échange internationaux

    L'UE est acquise si note finale transposée >= C
    • Crédits ECTS acquis : 5 ECTS

    Programme détaillé

    Course outline

    • Functionality issues

    - Understanding the need to provide a functional analysis

    - Exploring a specific tool such as the octopus diagram

    - Providing contextualised functional units


    • Bringing to light the complexity of a relevant definition of functional units


    • Spatialization and data visualization

    - Understanding issues of spatialization in LCA: geographical grid, indicators, data, etc.

    - Exploring the different data visualization

    - Providing spatialized LCA results and their visualization in LCA


    • Making progress on the (spatialized) data representation in LCA


    • Appropriation of LCA results

    - Understanding the difficulty for decision-makers to appropriate LCA results

    - Exploring the simplified modelling

    - Providing multi-criteria results for decision-making


    • Exploring ways to efficiently use LCA results for decision-making


    • Oral presentation of case study resolution

    - Students present the solution for their question concerning the use of advanced methodologies to perform LCA



    The module includes 10 hours of courses and 10 hours of practical work.


    Level required: basic knowledge of LCA

    Language: English

    Credits ECTS: 3

    Supervisor: Lynda Aissani

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