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Economic efficiency of resource recovery—analysis of time-dependent changes on sustainability perception of waste management scenarios

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Abstract

Waste management systems are modelled to provide a public waste management service and need to be able to meet environmental sustainability requirements at a cost that is acceptable to system users/citizens. Overall environmental, economic, and/or socio-economic sustainability of waste management in previous publications is done through independent analyses and comparisons of obtained results or through multicriterial ranking of different alternatives where final results do not have a meaningful physical significance and cannot be interpreted independently. At the same time, those analysis either neglect time dependant changes by focusing on moment in time, or take into account changes in some timeframe changes but report only ranking focused single-score results, thus, results neglect time-dependent developments. All of these approaches are lacking some information needed for informed decision-making and/or are difficult to understand by wider groups of people. Thus, in this study, link between economic and environmental sustainability is analysed through newly defined single-score Economic Efficiency of Resource Recovery (EERR) index that shows the specific system cost for achieving identified resource recovery, while legislation based time dependent changes are taken into account through successive analyses for legislative most important years. This approach can be used for benchmarking the overall (environmental and economic) sustainability trends, while its graphical representation enables easier presentation of sustainability results and can be used for easier comparison of possible solutions and decision-making. The results show that the quality decision-making process needs to take into account the impact of expected changes on overall sustainability and evaluate how they will affect the actual perception of used technologies. In this context, it is shown that overall changes in sustainability, in comparison to the existing perception, can significantly change, depending on which technologies the system is based on.

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All used data and materials are referenced in the manuscript.

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Abbreviations

*:

If not stated differently

i :

Investment cost [€*]

o :

Operation and maintenance costs [€/t*]

c :

Overall cost [€]

x :

Input waste stream [t/year]

y :

Input biogas flow [m3/h]

z :

Output flow of CNG [m3/h]

SCC :

Specific system cost [€/t]

REE :

Recovery of Embodied Energy [%]

EERR :

Economic Efficiency of Resource Recovery [€/t per %]

MSW:

Municipal solid waste

WM:

Waste management

PPP:

Polluter pays principle

EPR:

Extended producer responsibility

WMH:

Waste management hierarchy

WMS:

Waste management system

LCA:

Life cycle assessment

CED:

Cumulative energy demand

LCIA:

Life cycle impact assessment

PE:

Primary energy

LCC:

Life cycle cost

AD:

Anaerobic digestion

AHP:

Analytic hierarchy process

MCDM:

Multiple-criteria decision-making

MCDA:

Multiple-criteria decision analyses

EERR:

Economic Efficiency of Resource Recovery

L:

Landfill

MB:

Mass burn

TT:

Thermal treatment

CK:

Cement kiln

CKwAD:

Cement kiln with anaerobic digestion

G:

Gasification

BM:

Bio-methane

EL:

Electricity

ET:

Ethanol

CHP:

Combined heat and power

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Acknowledgements

This work has been fully supported by the Croatian Science Foundation under the project NEOPLAST (IP-01-2018-3200)—Smart energy carriers in recovery of plastic waste.

Funding

This work has been fully supported by the Croatian Science Foundation under the project NEOPLAST (IP-01–2018-3200)—Smart energy carriers in recovery of plastic waste.

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Correspondence to Tihomir Tomić.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Tomić, T., Kremer, I. & Schneider, D.R. Economic efficiency of resource recovery—analysis of time-dependent changes on sustainability perception of waste management scenarios. Clean Techn Environ Policy 24, 543–562 (2022). https://doi.org/10.1007/s10098-021-02165-1

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  • DOI: https://doi.org/10.1007/s10098-021-02165-1

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