An anaerobic treatment system is a three-step process that produces methane gas (in addition to other products) from the biological digestion (biotreatment) of sewage waste.
Published in Chapter:
Adaptive Network Based Fuzzy Interference System (ANFIS) Modeling of an Anaerobic Wastewater Treatment Process
P. Mullai (Annamalai University, India), Eldon R. Rene (University of La Coruña, Spain), Hung Suck Park (Center for Clean Technology and Resource Recycling, University of Ulsan, South Korea), and P. L. Sabarathinam (Annamalai University, India)
Copyright: © 2012
|Pages: 19
DOI: 10.4018/978-1-4666-0294-6.ch011
Abstract
The successful operation of a high-rate anaerobic reactor, up flow anaerobic sludge blanket (UASB) reactor depends on the prevailing physico-chemical and biological conditions during its operation. The wastewater characteristics and composition, the hydrodynamics of the process, and microbial activity are critical for achieving long term, optimal reactor performance. Modeling UASBs can be beneficial for design, prediction, and control purposes. This chapter provides sufficient background information on the different biochemical stages of anaerobic treatment, viz., hydrolysis of biodegradable solids, acetogenesis and methanogenesis, the working of a UASB reactor, and some insight into mechanistic modeling of UASBs. The application of neural networks, and a conceptual neural fuzzy model, i.e., adaptive network based fuzzy inference system (ANFIS), to model the performance of UASB is systematically outlined in this chapter.