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Evaluation of Integrated Anaerobic Digestion and Hydrothermal Carbonization for Bioenergy Production

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Environmental performance evaluation of large-scale municipal solid waste incinerators using data envelopment

Ho-Wen Chen¹, Ni-Bin Chang, Jeng-Chung Chen

¹Department of Environmental Engineering and Management, Chao-Yang University of Technology, Taichung 413, Taiwan, ROC.

Waste Management (New York, N.Y.)

|February 26, 2010

Summary

Data Envelopment Analysis (DEA) evaluated municipal incinerator efficiency in Taiwan. Monte Carlo simulation addressed operational uncertainties, identifying optimal waste management strategies for improved incineration quality globally.

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Area of Science:

Environmental Science and Engineering
Operations Research
Production Economics

Background:

Increasing urban solid waste necessitates efficient treatment technologies like incineration due to land scarcity.
Evaluating incinerator performance involves complex factors including cost, efficiency, and environmental impact.
Interdisciplinary approaches combining production economics, systems analysis, and waste management are crucial.

Purpose of the Study:

To apply Data Envelopment Analysis (DEA), a production economics tool, for assessing the performance-based efficiencies of large-scale municipal incinerators.
To evaluate 19 municipal incinerators in Taiwan using a 4-year operational dataset (2002-2005).
To develop a comprehensive assessment procedure for predicting incinerator performance under various operational conditions.

Main Methods:

Utilized Data Envelopment Analysis (DEA) to measure the relative efficiencies of municipal solid waste incinerators.
Employed Monte Carlo simulation for uncertainty analysis, outlining possibility distributions of operational efficiency.
Integrated DEA modeling with systems analysis for a robust performance prediction framework.

Main Results:

The study successfully applied DEA to quantify the operational efficiencies of Taiwanese municipal incinerators.
Monte Carlo simulation provided insights into the impact of uncertainties on incinerator performance.
A compromised assessment procedure was developed for evaluating and predicting incinerator performance.

Conclusions:

The research identifies optimal management strategies to enhance solid waste incineration quality.
Findings offer valuable insights for improving municipal incinerator operations in Taiwan and globally.
The integrated DEA and simulation approach provides a sound method for assessing complex waste management systems.