MICROWAVE ENHANCED BIODEGRADABILITY OF FOOD INDUSTRY SLUDGE
Published In: 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS, BIO-TECHNOLOGY AND ENVIRONMENTAL ENGINEERING
Author(s): CECILIA HODUR , GABOR KESZTHELYI-SZABO , SANDOR BESZEDES
Abstract: Compared to other industrial sectors, a great amount of wastewater occurs in the food technologies, because of the high water content of the raw materials processed, the commonly used dehydration operations and, additionally, the high water demand of flushing and cleaning procedures. Wastewater originated from food operations contains a great amount of organic matter, and due to frequently cleaning and disinfecting procedures effluents can be characterized by a high content of surfactants and disinfecting agents, respectively. Dosed cations in wastewater purification technology are also contributed to form more resistant sludge flocks via the stronger polymeric network. Therefore disruption of extracellular polymeric substances (EPS) and sludge condition for enhanced biodegradation has been an important factor in the efficiency and economy of sludge handling technology. Microwave irradiation has been successfully adopted as pre-treatment method via the high energy dissipation of polar
- Publication Date: 18-Mar-2016
- DOI: 10.15224/978-1-63248-091-0-80
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THE EFFECT OF CU ON NI/Γ-AL2O3 CATALYST FOR THE THERMAL DECOMPOSITION OF METHANE: AN AB INITIO MOLECULAR DYNAMICS INVESTIGATION
Published In: 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN APPLIED SCIENCE AND ENVIRONMENTAL ENGINEERING
Author(s): GIAN PAOLO O. BERNARDO , HIROFUMI HINODE , JOSEPH AURESENIA , LEONILA C. ABELLA
Abstract: This study focuses on the catalytic decomposition of CH4 for the production of carbon nanotubes (CNTs). The decomposition of a single CH4 molecule on Ni/γ- Al2O3 catalyst surface with and without Cu was observed via ab initio calculations. The structural model was based on the transformation of metallic Ni and Cu into Ni-Cu alloy on γ- Al2O3 from experimental data. Structural relaxation and decomposition simulations were performed using Materials Studio 2016 DMol3 with the Local Density Approximation – Vosko-Wilk-Nusair (LDA-VWM) exchange correlation functional, Gaussian double zeta plus polarization function basis set (DNP) at 2x2x1 k-point calculation and orbital cut-off of 3.5 Å, with simulation parameters: T = 1300K, time step = 1.9 fs (78.5 a.u.), simulation time of 0.38 ps, with canonical NVT (constant amount (N), volume (V) and temperature (T)) thermodynamic ensemble and Generalized Gaussian Moment (GGM) thermostat. Simulation data suggest lower C deposition at 1:1 Ni-Cu. Simula
- Publication Date: 13-Mar-2016
- DOI: 10.15224/978-1-63248-086-6-01
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