Is It Useful to Improve Modelling
of Usage Scenarios to Improve
the Environmental Footprint
of Energy-Using Product?
Charlotte Heslouin, Véronique Perrot-Bernardet,
Lionel Pourcheresse and Nicolas Perry
Abstract When considering the Life Cycle Assessment of an energy-using
product, usage is often modelled by average scenarios of use. One challenge of
modelling is the availability of data to model the specific scenario in each case. This
type of modelling requires the collection of data from several inputs. Also, it can be
expensive and time-consuming to collect the specific data to improve the modelling
of the use phase. This case study examines a truck refrigeration unit, for which the
most environmentally impactful phase is the use phase. The energy consumption of
the unit depends on usage. We highlight the importance of modelling a detailed
usage scenario specific to each user and examine if it is enough to consider an
average usage scenario. This study shows how a specific end-user Life Cycle
Assessment and customized recommendation can contribute to improving the
global environmental footprint. This is demonstrated by using the energy consumption life cycle inventory analysis of specific end-user behaviour based on
experimental data and average scenarios. The results show how far we have to go in
the collection of data.
1 Introduction
Energy-using products are commonly known to have their main environmental
impact in the use phase [1–3], hence the importance of accurately modelling the
usage of this kind of products.
C. Heslouin Á L. Pourcheresse
Carrier Transicold Industries, 76520 Franqueville Saint Pierre, France
C. Heslouin Á V. Perrot-Bernardet
Arts et Métiers Paristech, Institut de Chambéry, Savoie Technolac,
73375 Le Bourget du Lac, France
e-mail: veronique.perrot-bernardet@ensam.eu
C. Heslouin Á N. Perry (&)
Arts et Métiers Paristech, I2M, UMR 5295, 33400 Talence, France
e-mail: nicolas.perry@ensam.eu
© The Author(s) 2018
E. Benetto et al. (eds.), Designing Sustainable Technologies,
Products and Policies, https://doi.org/10.1007/978-3-319-66981-6_26
231
of Usage Scenarios to Improve
the Environmental Footprint
of Energy-Using Product?
Charlotte Heslouin, Véronique Perrot-Bernardet,
Lionel Pourcheresse and Nicolas Perry
Abstract When considering the Life Cycle Assessment of an energy-using
product, usage is often modelled by average scenarios of use. One challenge of
modelling is the availability of data to model the specific scenario in each case. This
type of modelling requires the collection of data from several inputs. Also, it can be
expensive and time-consuming to collect the specific data to improve the modelling
of the use phase. This case study examines a truck refrigeration unit, for which the
most environmentally impactful phase is the use phase. The energy consumption of
the unit depends on usage. We highlight the importance of modelling a detailed
usage scenario specific to each user and examine if it is enough to consider an
average usage scenario. This study shows how a specific end-user Life Cycle
Assessment and customized recommendation can contribute to improving the
global environmental footprint. This is demonstrated by using the energy consumption life cycle inventory analysis of specific end-user behaviour based on
experimental data and average scenarios. The results show how far we have to go in
the collection of data.
1 Introduction
Energy-using products are commonly known to have their main environmental
impact in the use phase [1–3], hence the importance of accurately modelling the
usage of this kind of products.
C. Heslouin Á L. Pourcheresse
Carrier Transicold Industries, 76520 Franqueville Saint Pierre, France
C. Heslouin Á V. Perrot-Bernardet
Arts et Métiers Paristech, Institut de Chambéry, Savoie Technolac,
73375 Le Bourget du Lac, France
e-mail: veronique.perrot-bernardet@ensam.eu
C. Heslouin Á N. Perry (&)
Arts et Métiers Paristech, I2M, UMR 5295, 33400 Talence, France
e-mail: nicolas.perry@ensam.eu
© The Author(s) 2018
E. Benetto et al. (eds.), Designing Sustainable Technologies,
Products and Policies, https://doi.org/10.1007/978-3-319-66981-6_26
231