Advertisement

A Binary Linear Programming Approach for LCA System Boundary Identification

  • Feri Afrinaldi
  • Hong-Chao Zhang
  • John Carrell

Abstract

One of the very first steps in conducting life cycle assessment (LCA) is system boundaries identification. A binary linear programming (LP) model is proposed to identify boundary between significant and insignificant processes in a LCA study. The proposed model is designed based on Relative Mass-Energy-Economic (RMEE) methodology. There are two types of objective function that can be solved by the proposed model, (1) to minimize number of processes considered in LCA or (2) to maximize cut-off criteria values. A numerical example and sensitivity analysis are provided to verify the applicability of the proposed model.

Keywords

LCA System Boundary Linear Programming 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science + Business Media Singapore 2013

Authors and Affiliations

  • Feri Afrinaldi
    • 1
    • 2
  • Hong-Chao Zhang
    • 1
  • John Carrell
    • 1
  1. 1.Texas Tech UniversityLubbockUSA
  2. 2.Andalas UniversityPadangIndonesia

Personalised recommendations