Article
Version 1
Preserved in Portico This version is not peer-reviewed
Integrated Waste-to-Energy Process Optimization for Municipal Solid Waste
Version 1
: Received: 1 December 2023 / Approved: 4 December 2023 / Online: 5 December 2023 (07:43:25 CET)
A peer-reviewed article of this Preprint also exists.
A. Gabbar, H.; Ahmad, M.S. Integrated Waste-to-Energy Process Optimization for Municipal Solid Waste. Energies 2024, 17, 497. A. Gabbar, H.; Ahmad, M.S. Integrated Waste-to-Energy Process Optimization for Municipal Solid Waste. Energies 2024, 17, 497.
Abstract
Within the past few decades, thousands of experiments have been performed to characterize waste and biomass to estimate the bioenergy potential and product identification. There is a need to develop an integrated process model based on experimental literature, and simulation to obtain suitable products. In this study municipal solid waste (MSW) characterization and integrated process model have been developed to optimize final products in a reactor system. The process model has two modes R&D and reactor control (RC) to obtain suitable products including bio-oil, char, and gases. A database was integrated based on thermokinetics, machine learning and simulation models to optimize product efficiency. The experimental data includes thermogravimetric analysis, Fourier transform Infrared Spectroscopy, Gas chromatography, and Mass spectrometry, which are linked with pyrolysis experimental setup. Feedstock-product mapping models were incorporated into the database along with the temperature, heating rates, elemental analysis, and final product concentration, which are utilized for pyrolysis reactor setup. Product feasibility is conducted based on lifecycle cost, affordability, and product efficiency. The present work will bridge the gap between experimental study and decision making based on obtained products at several experimental conditions around the world.
Keywords
Process optimization; Waste conversion; Life cycle analysis; Machine learning
Subject
Engineering, Energy and Fuel Technology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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