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Updated: Mar 26, 2026

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

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Published on: October 21, 2016

Landfill mining: Development of a cost simulation model.

Tanja Wolfsberger¹, Michael Pinkel², Stephanie Polansek³

¹Chair of Waste Processing Technology and Waste Management, Montanuniversitaet Leoben, Leoben, Austria tanja.wolfsberger@unileoben.ac.at.

Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA

|February 10, 2016

Summary

This summary is machine-generated.

Landfill mining can recover valuable resources, but its economic feasibility is complex. A new simulation model helps assess costs and revenues for profitable secondary raw material recovery from landfills.

Keywords:

Landfill mining cost estimation cost simulation model estimation of waste quality evaluation of waste quantities feasibility

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Area of Science:

Environmental Engineering
Resource Management
Waste Management

Background:

Landfill mining offers potential for secondary raw material recovery but faces economic feasibility challenges.
Accurate assessment of costs (excavation, processing, disposal) and revenues (metals, calorific value) is difficult prior to projects.
Current uncertainties lead to continued landfill operation, incurring aftercare costs and perpetuating environmental hazards.

Purpose of the Study:

To present a novel simulation model for evaluating the economic feasibility of landfill mining projects.
To enable identification of recoverable secondary raw material quantities and qualities.
To facilitate assessment of disposal charges and potential revenues from recovered materials.

Main Methods:

Development of a simulation model for landfill mining operations.
Integration of mobile on-site processing equipment selection by operators.
Inclusion of investment, personnel, operation, servicing, and insurance costs in the model.

Main Results:

The model identifies recoverable output flows based on selected processing equipment and throughput.
It allows for the assessment of disposal charges and expected revenues from secondary raw materials.
Cost factors including investment, personnel, and operational expenses are evaluated.

Conclusions:

The developed simulation model provides a robust tool for assessing landfill mining economic feasibility.
It aids landfill operators in making informed decisions regarding resource recovery and waste management.
The model's application to a real Austrian landfill demonstrates its practical utility.