Supercritical water oxidation of a model fecal sludge without the use of a co-fuel.
Repository Usage Stats
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.
Published Version (Please cite this version)
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.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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.
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.