Published April 2015 | Version v1
Journal article

Economic and environmental optimization of waste treatment

  • 1. System Analysis Department, DTU Management Engineering, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde (Denmark)
  • 2. RAM-løse edb, Æblevangen 55, 2765 Smørum (Denmark)
  • 3. Chalmers University of Technology, SE-412 96 Gothenburg (Sweden)
  • 4. IVL Swedish Environmental Research Institute, Box 53021, SE-40014 Gothenburg (Sweden)

Description

Highlights: • Optimizing waste treatment by incorporating LCA methodology. • Applying different objectives (minimizing costs or GHG emissions). • Prioritizing multiple objectives given different weights. • Optimum depends on objective and assumed displaced electricity production. - Abstract: This article presents the new systems engineering optimization model, OptiWaste, which incorporates a life cycle assessment (LCA) methodology and captures important characteristics of waste management systems. As part of the optimization, the model identifies the most attractive waste management options. The model renders it possible to apply different optimization objectives such as minimizing costs or greenhouse gas emissions or to prioritize several objectives given different weights. A simple illustrative case is analysed, covering alternative treatments of one tonne of residual household waste: incineration of the full amount or sorting out organic waste for biogas production for either combined heat and power generation or as fuel in vehicles. The case study illustrates that the optimal solution depends on the objective and assumptions regarding the background system – illustrated with different assumptions regarding displaced electricity production. The article shows that it is feasible to combine LCA methodology with optimization. Furthermore, it highlights the need for including the integrated waste and energy system into the model

Availability note (English)

Available from http://dx.doi.org/10.1016/j.wasman.2014.12.005

Additional details

Identifiers

DOI
10.1016/j.wasman.2014.12.005;
PII
S0956-053X(14)00582-0;

Publishing Information

Journal Title
Waste Management
Journal Volume
38
Journal Page Range
p. 486-495
ISSN
0956-053X
CODEN
WAMAE2

Optional Information

Copyright
Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.