Zhihan Lu, Yousheng Lin, Runhua Ye, Ya Ge, Qing He
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引用次数: 0
Abstract
Context
The chemical looping with oxygen uncoupling (CLOU) technology offers a low-carbon approach for municipal solid waste (MSW) management. However, tar generated from MSW pyrolytic-gasification can impair the cyclic reactivity of oxygen carriers (OCs). This study uses reactive force field molecular dynamics (ReaxFF MD) simulations to examine the interactions between three tar model compounds (toluene, phenol, and naphthalene) and CuO OCs during CLOU. The results indicate that tar initially undergoes thermal cracking, while CuO releases small amounts of O radicals that facilitate the reaction. The oxygen release rate and capacity of CuO are strongly influenced by temperature. All three tar compounds produce intermediate C2H2, which is further oxidized to C2O2 in the cases of phenol and naphthalene. CuO can nearly completely oxidize these tar compounds to CO2 and H2O at stoichiometric ratio, with only minor CO and H2 byproducts. The research provides guidance for promoting CLOU technology in the efficient and clean energy utilization of MSW.
Methods
The models of MSW tar compounds and CuO are constructed using Materials Studio (MS) and are preliminarily optimized with the Forcite module. ReaxFF MD calculations are conducted using the ReaxFF module within the Amsterdam Modeling Suite (AMS) computational platform, employing force field parameters of C/H/O/N/S/Mg/P/Na/Cu/Cl. The temperature control is maintained using the Nose–Hoover chain (NHC) thermostat. The first-order Arrhenius equation is utilized to calculate the activation energy of the reaction process.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.