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Optimal Process Network for Integrated Solid Waste Management in Davao City, Philippines
Optimal Process Network for Integrated Solid Waste Management in Davao City, Philippines
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Optimal Process Network for Integrated Solid Waste Management in Davao City, Philippines
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Optimal Process Network for Integrated Solid Waste Management in Davao City, Philippines
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Optimal Process Network for Integrated Solid Waste Management in Davao City, Philippines
Optimal Process Network for Integrated Solid Waste Management in Davao City, Philippines
Journal Article

Optimal Process Network for Integrated Solid Waste Management in Davao City, Philippines

2022
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Overview
Municipal solid waste management (MSWM) systems in developing countries adopt practices from developed countries to reduce their environmental burdens. However, several complex issues specific to developing countries hinder the full implementation of these practices. The future of MSWM in Davao City, Philippines, is envisaged as a notable example of the combination of new infrastructure and local MSWM practices. A linear programming model was developed, following material flow analysis and life cycle assessment, to design an optimal system for Davao City. The performance of the system was evaluated in terms of greenhouse gas emissions, energy and revenue generated, and the amount of landfill waste. The results show that the proposed system positively affects the environment compared to the current system, due to additional treatment options. However, the main allocation concern transitions from organic waste in the current system to plastic waste in future scenarios. Furthermore, the mitigation of greenhouse gas emissions and the extension of landfill life will be heavily influenced by trade-offs between sorting operations and the management of incinerated wastes with high calorific values. Therefore, plastic-waste-specific treatment options will be critical for future MSWM systems. The results herein underscore the need for sustainable MSWM in the study area, considering the region-specific conditions.