| Title | Evaluation of optimal technology for the sustainable processing of municipal solid waste employing MINLP model: a case study of Pakistan |
|---|---|
| ID_Doc | 74354 |
| Authors | Amin, H; Rizwan, M; Mukhtar, M; Zaman, M; Naqvi, SR; Elkamel, A; Shehzad, K |
| Title | Evaluation of optimal technology for the sustainable processing of municipal solid waste employing MINLP model: a case study of Pakistan |
| Year | 2024 |
| Published | |
| Abstract | This research presents a comprehensive framework for the sustainable management of Municipal Solid Waste (MSW) and its conversion into valuable products and electricity. This study aims to optimize the MSW management system and identify the optimal pathway for handling MSW, employing Mixed-Integer Nonlinear Programming (MINLP) model. The framework includes data collection, mathematical modeling, and a case study of Pakistan. In the analysis of 15 cities in Pakistan, the authors found that the most profitable pathway involves the recycling of recyclable materials, followed by transesterification for biodiesel production. This approach yielded an average profit of $7367 per 100 tons of MSW. The authors also investigated a scenario without recycling, where only transesterification was employed, resulting in an average profit of $4043. Additionally, sensitivity analysis revealed that key factors affecting profit and optimal pathways include technology yields, selling prices of products, and capital and operating costs. Notably, a 50% increase in transesterification yield led to a 62% profit boost, emphasizing the significance of technology performance. This research offers valuable insights for policymakers and waste management stakeholders, highlighting the economic and environmental benefits of sustainable MSW management and waste to energy (WtE) technologies. It demonstrates the potential for transforming MSW into a valuable resource while addressing waste-related challenges in rapidly urbanizing regions like Pakistan. |
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