فائزه سادات طلاپور

The rapid growth of Municipal Solid Waste (MSW) generation an‎d the scarcity of natural resources have made sustainable waste management a critical necessity. Among modern approaches, pyrolysis has emerged as a promising technology for converting waste into energy, effectively reducing lan‎dfill dependency while producing valuable outputs such as fuel an‎d electricity. Pyrolysis, in essence, is a thermal decomposition process in the absence of oxygen that leads to the conversion of solid waste into fuels an‎d electricity. Given the presence of pyrolysis plants in several countries an‎d recent advancements in the field, Iran has also initiated efforts to adopt this technology. This research presents a Mixed-Integer Linear Programming (MILP) model for the mid-term planning of waste-to-energy processing centers using pyrolysis. The model is designed to optimize waste flow an‎d determine the optimal pricing strategy for selling fuel an‎d electricity products over a 12-month period, with the objective of maximizing economic profit. To address uncertainty in the quantity of incoming waste, the model incorporates a fuzzy approach, an‎d numerical analysis are conducted under uncertain conditions. The model was run in GAMS software, an‎d the results were analyzed under both deterministic an‎d uncertain conditions. The case study focused on Tehran, Iran, where the application of the proposed model demonstrated the efficiency of employing pyrolysis-based waste management systems. Integrating pyrolysis technology, compared to the current conditions, can result in a 44% reduction in lan‎dfilled waste, 599% improvement in energy production, an‎d improvement in economic sustainability. The total profit of system reached 3,270,411,111 Rials, indicating a significant economic improvement an‎d increased electricity production while simultaneously increasing energy output compared to the deterministic baseline scenario, with a reduction of 5,898 tons in waste directed to lan‎dfills. These results highlight the importance of using advanced optimization tools an‎d resilient strategies in managing urban waste an‎d achieving sustainable energy generation. Furthermore, the sensitivity analysis indicated that the model exhibits relatively stable responses under uncertain conditions to changes in key parameters.

مديريت پسماند جامد شهري , پسماند به انرژي , عدم قطعيت , پيروليز , برنامه ريزي ميان مدت , قيمت‌گذاري

Pyrolysis , Municipal Solid Waste Management , Mid-term Planning , Waste-to-Energy , Uncertainty , Pricing

Faezeh Sadat Talapour

Dr. Mir Saman Pishvaee