Supercritical water oxidation of a model fecal sludge without the use of a co-fuel.

Abstract

A continuous supercritical water oxidation reactor was designed and constructed to investigate the conversion of a feces simulant without the use of a co-fuel. The maximum reactor temperature and waste conversion was determined as a function of stoichiometric excess of oxygen in order to determine factor levels for subsequent investigation. 48% oxygen excess showed the highest temperature with full conversion. Factorial analysis was then used to determine the effects of feed concentration, oxygen excess, inlet temperature, and operating pressure on the increase in the temperature of the reacting fluid as well as a newly defined non-dimensional number, NJa representing heat transfer efficiency. Operating pressure and stoichiometric excess oxygen were found to have the most significant impacts on NJa. Feed concentration had a significant impact on fluid temperature increase showing an average difference of 46.4°C between the factorial levels.

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Citation

Published Version (Please cite this version)

10.1016/j.chemosphere.2015.06.076

Publication Info

Miller, A, R Espanani, A Junker, D Hendry, N Wilkinson, D Bollinger, JM Abelleira-Pereira, MA Deshusses, et al. (2015). Supercritical water oxidation of a model fecal sludge without the use of a co-fuel. Chemosphere, 141. pp. 189–196. 10.1016/j.chemosphere.2015.06.076 Retrieved from https://hdl.handle.net/10161/11499.

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Scholars@Duke

Deshusses

Marc Deshusses

Professor of Civil and Environmental Engineering

Dr. Deshusses' research interests are related to the design, analysis and application of remediation, waste to energy and decentralized sanitation processes. A current focus is on novel reactors and processes for air, water and solid wastes treatment. Applications include treatment of odors and air toxics, biogas production, and novel sanitation and treatment technologies. Research interests include bioenergy and waste to energy processes, biofilms, biomolecular techniques for monitoring microorganisms in complex environments, indoor air quality, advanced oxidation processes, nanosensors, and mathematical modeling of environmental processes.


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