Dynamic LCA methodology to support post-occupancy decision-making for carbon budget compliance

• Published in: Energy and buildings Vol. 309; p. 114006
• Main Authors: Mosquini, L.H. Neves, Delinchant, B., Jusselme, T.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.04.2024
• Subjects: Building LCA; Building renovation; Dynamic LCA; Optimization; Post-occupancy; Sensitivity analysis; EE; CMM; Sensitivity analysis; EOL; EI; DLCA; DM; LCA; DP; MOO; Optimization; SA; Dynamic LCA; Building renovation; BAU; OE; Building LCA; GA; SM; Post-occupancy; CB
• DOI: 10.1016/j.enbuild.2024.114006
• ISSN: 0378-7788

In response to the climate crisis and ever diminishing global carbon budget targets, managing carbon emissions, particularly during the post-occupancy phase in the building sector, is pivotal. This study presents a novel approach that uses a parametric Life Cycle Assessment (LCA) workflow that integrates the temporal dimension to align post-occupancy decision-making with carbon budgets. Applying this method to a French residential case study, this work explores optimization, sensitivity analysis, and different visualization techniques in hopes to inform building actors not only of which carbon mitigation measures to implement, but also when to execute them. The temporal aspect of decision-making proved to be extremely useful as a renovation plan for the remaining building life cycle is proposed. Interestingly however, similar optimization solutions emerged from static and dynamic LCAs despite very distinct Global Warming Potential values, suggesting a possible overlook of dynamic parameters. Findings also illuminate the complexity of conveying multifaceted decision-making information, emphasizing the importance of tailoring solutions. Nonetheless, the specificity of results necessitates further research across varied building typologies. This study is another step towards sustainable building management, underlining the urgency of adhering to carbon budgets.