Multiobjective waste management optimization strategy coupling life cycle assessment and genetic algorithms: Application to PET bottles

摘要: A mathematical model based on life-cycle assessment (LCA) results is developed to assess the environmental efficiency of end-of-life management polyethylene terephthalate (PET) bottles. For this purpose, multiobjective optimization and decision support tools are used define optimal targets for efficient waste management. The global impacts associated with treatment PET bottles from their cradle ultimate graves (incineration, landfill, recycling by mechanical, chemical or thermal processes) computed in function flow different valorization paths. They calculation involved each elementary process a LCA software tool, using CML impact method. takes into account fraction λ regenerated that can be further recycled, being cumulative corresponding "end-of-life". nonlinear bottle collection stage considered, reflecting more diffuse is, difficult it collect consequently, environmentally impacting. resulting problem find allocation between paths minimizes end-of-lives. It solved genetic algorithm, trade-off illustrated through Pareto curves. tool then determines best compromise among set solutions. applied case France 2010. variables minimize simultaneously abiotic depletion, acidification warming potential determined, particular number loops. approach easily adapted any specific product like bio-based plastics organic wastes