Enhancing consistency in consequential life cycle inventory through material flow analysis

SUSTAINABLE BUILT ENVIRONMENT D-A-CH CONFERENCE 2019

生态环境科学

Cordier, S.^1^2 ; Robichaud, F.^3 ; Blanchet, P.^2 ; Amor, B.^1

Interdisciplinary Research Laboratory on Sustainable Engineering and Ecodesign (LIRIDE), Department of Civil and Building Engineering, Université de Sherbrooke, Sherbrooke

QC

J1K 2R1, Canada^1

Department of Wood and Forest Sciences, Université Laval, QC

G1V 0A6, Canada^2

Forest Economic Advisors, LLC, 298 Great Road, Littleton

MA

01460, United States^3

关键词: Consequential life-cycle assessment;    Life Cycle Inventory;    Material availability;    Material flow analysis;    Material supply chains;    Quantitative information;    Residence time models;    Technology performance;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/323/1/012056/pdf
DOI  :  10.1088/1755-1315/323/1/012056

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Wood products are gaining interest in the building sector, due to their potential in sequestering greenhouse gas emissions. However, increasing wood materials use in the built market can have unforeseen changes in the material supply chains. Consequential Life Cycle Assessment (CLCA) allows the assessment of changes in material supply chain. To quantify and link those consequences, the affected physical flows need to be estimated. Material Flow Analysis (MFA) can bring to CLCA modelling more representative and quantitative information than the commonly used hypothesis in consequential modelling. Indeed, MFA considers physical constraints (technology performances and material availability), in addition to account for mass balance. The main objective of this presentation is to illustrate how such consistency is added to CLCA through an MFA of wood products in non-residential (NR) buildings in the province of Québec (Canada). Wood flows are tracked to identify their end-use markets and trends in consumption. To overcome the lack of data and bring insights on the sector's dynamics, such as stock variations and potential discarded flows that supply recycling markets, residence time model and also extrapolation and correlation between physical and economic parameters are used. Results show how flows can increase in the market before reaching their physical constraints, such as the available wood stock in the forest. These insights will significantly enhance the data collection for CLCA. In conclusion, the MFA brings support to CLCA by proposing a framework to model changes in the construction market.