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Towards optimal trade-offs between material and energy recovery for green waste

(2019) WASTE MANAGEMENT. 93. p.100-111
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Abstract
Green waste is a type of biomass consisting mainly of grass, leaves and fresh prunings originating from gardens and parks. It can be used as feedstock for composting, or for energy recovery. The EU Waste Directive 2008/98/EC advocates composting to prevent waste. This directive allows green waste to be used for (renewable) energy valorization only if a better overall environmental outcome can be demonstrated. In this paper, we propose an assessment procedure based on examining the Pareto front of optimal trade-off combinations for maximizing composting and energy recovery of green waste while minimizing environmental impact and minimizing particulate matter emission. The Pareto optimal front is determined by solving a multi-objective optimization problem using the ε-constraint method. Previous research on green waste valorization using Life Cycle Analysis (LCA) shows that either energy recovery or composting is the preferred option depending on how environmental impact is assessed. In contrast to the full assignment to one of these recovery methods produced by LCA, we demonstrate, using the case of green waste valorization in the Netherlands and Belgium, that the proposed assessment procedure provides optimal solutions in a range between full allocation to compost or energy recovery. The proposed methodology supports the selection of optimal solutions taking the decision makers’ preference into account that allows complying with Directives that have opposite goals on green waste valorization. Finally, computational results show that the assessment of the “better environmental outcome” requested by the EU waste Directive 2008/98/EC is influenced by the life cycle impact categories and the policy makers preferences with respect to the valorization options taken into account. Since the EU waste Directive 2008/98/EC does not specify how to execute the outcome assessment of valorization alternatives, this can lead to ambiguity.
Keywords
Waste Management and Disposal, Multiple objective modeling, Green waste valorization, Material conservation, Waste-to-energy, Decision support tool, LIFE-CYCLE ASSESSMENT, EPSILON-CONSTRAINT METHOD, MULTIOBJECTIVE OPTIMIZATION, PARTICULATE MATTER, MANAGEMENT-SYSTEMS, ISO 14040, BIOMASS, LCA, COMPOST, MODEL

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Citation

Please use this url to cite or link to this publication:

MLA
Inghels, Dirk, et al. “Towards Optimal Trade-Offs between Material and Energy Recovery for Green Waste.” WASTE MANAGEMENT, vol. 93, Elsevier , 2019, pp. 100–11.
APA
Inghels, D., Dullaert, W., Aghezzaf, E.-H., & Heijungs, R. (2019). Towards optimal trade-offs between material and energy recovery for green waste. WASTE MANAGEMENT, 93, 100–111.
Chicago author-date
Inghels, Dirk, Wout Dullaert, El-Houssaine Aghezzaf, and Reinout Heijungs. 2019. “Towards Optimal Trade-Offs between Material and Energy Recovery for Green Waste.” WASTE MANAGEMENT 93: 100–111.
Chicago author-date (all authors)
Inghels, Dirk, Wout Dullaert, El-Houssaine Aghezzaf, and Reinout Heijungs. 2019. “Towards Optimal Trade-Offs between Material and Energy Recovery for Green Waste.” WASTE MANAGEMENT 93: 100–111.
Vancouver
1.
Inghels D, Dullaert W, Aghezzaf E-H, Heijungs R. Towards optimal trade-offs between material and energy recovery for green waste. WASTE MANAGEMENT. 2019;93:100–11.
IEEE
[1]
D. Inghels, W. Dullaert, E.-H. Aghezzaf, and R. Heijungs, “Towards optimal trade-offs between material and energy recovery for green waste,” WASTE MANAGEMENT, vol. 93, pp. 100–111, 2019.
@article{8617181,
  abstract     = {Green waste is a type of biomass consisting mainly of grass, leaves and fresh prunings originating from gardens and parks. It can be used as feedstock for composting, or for energy recovery. The EU Waste Directive 2008/98/EC advocates composting to prevent waste. This directive allows green waste to be used for (renewable) energy valorization only if a better overall environmental outcome can be demonstrated. In this paper, we propose an assessment procedure based on examining the Pareto front of optimal trade-off combinations for maximizing composting and energy recovery of green waste while minimizing environmental impact and minimizing particulate matter emission. The Pareto optimal front is determined by solving a multi-objective optimization problem using the ε-constraint method. Previous research on green waste valorization using Life Cycle Analysis (LCA) shows that either energy recovery or composting is the preferred option depending on how environmental impact is assessed. In contrast to the full assignment to one of these recovery methods produced by LCA, we demonstrate, using the case of green waste valorization in the Netherlands and Belgium, that the proposed assessment procedure provides optimal solutions in a range between full allocation to compost or energy recovery. The proposed methodology supports the selection of optimal solutions taking the decision makers’ preference into account that allows complying with Directives that have opposite goals on green waste valorization. Finally, computational results show that the assessment of the “better environmental outcome” requested by the EU waste Directive 2008/98/EC is influenced by the life cycle impact categories and the policy makers preferences with respect to the valorization options taken into account. Since the EU waste Directive 2008/98/EC does not specify how to execute the outcome assessment of valorization alternatives, this can lead to ambiguity.},
  author       = {Inghels, Dirk and Dullaert, Wout and Aghezzaf, El-Houssaine and Heijungs, Reinout},
  issn         = {0956-053X},
  journal      = {WASTE MANAGEMENT},
  keywords     = {Waste Management and Disposal,Multiple objective modeling,Green waste valorization,Material conservation,Waste-to-energy,Decision support tool,LIFE-CYCLE ASSESSMENT,EPSILON-CONSTRAINT METHOD,MULTIOBJECTIVE OPTIMIZATION,PARTICULATE MATTER,MANAGEMENT-SYSTEMS,ISO 14040,BIOMASS,LCA,COMPOST,MODEL},
  language     = {eng},
  pages        = {100--111},
  publisher    = {Elsevier },
  title        = {Towards optimal trade-offs between material and energy recovery for green waste},
  url          = {http://dx.doi.org/10.1016/j.wasman.2019.05.023},
  volume       = {93},
  year         = {2019},
}

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