Optimization of the Electron Donor Supply to Sulphate Reducing Bioreactors Treating Inorganic Wastewater. (2018)

• Record Type: Book
• Further Information: Note: Luis Carlos Reyes-Alvarado.
• Authors: Reyes-Alvarado, Luis Carlos
• Contents: Cover; Half Title; Optimization of the electron donorsupply to sulphate reducingbioreactors treating inorganicwastewater; Title; Thesis commettee; Copyright; Table of contents; List of figures; List of tables; Acknowledgments; Abstract; Resumé; Samenvatting; Sommario; CHAPTER 1 INTRODUCTION; 1.1 Background; 1.2 The PhD thesis structure; 1.3 References; CHAPTER 2 LITERATURE REVIEW; Abstract; 2.1 Anaerobic digestion; 2.1.1 Hydrolysis-fermentation; 2.1.2 Acetogenesis; 2.1.3 Methanogenesis; 2.2 The sulphate reduction process; 2.2.1 Sulphur cycle; 2.2.2 Biological sulphate reduction 2.2.3 Sulphate reducing bacteria (SRB)2.3 Electron donors for SRB; 2.3.1 Organic solids; 2.3.1.1 Starch; 2.3.1.2 Cellulose; 2.3.1.3 Proteins; 2.3.1.4 Chitin; 2.3.2 Selection of electron donors for biological sulphate reduction; 2.3.2.1 Efficiency of sulphate removal; 2.3.2.2 Availability and cost of electron donor; 2.3.3 Environmental parameters affecting sulphate reduction; 2.3.3.1 Temperature; 2.3.3.2 pH and S2- concentration; 2.3.3.3 Hydraulic retention time (HRT); 2.4 Conventional bioreactors for sulphate reduction; 2.4.1 UASB bioreactor; 2.4.2 Inverse fluidized bed reactor 2.4.3 Factors affecting bioreactor performance2.4.3.1 Characteristics of organic substrate; 2.4.3.2 Particle size of electron donors; 2.4.3.3 Source of inoculum; 2.4.3.4 Physical and chemical conditions in a bioreactor; 2.4.3.5 Biomass morphology; 2.5 Modelling biological sulphate reduction; 2.5.1 Monod type modelling for biological sulphate reduction; 2.5.2 Artificial neural network (ANN) based modeling; 2.5.2.1 Fundamentals of ANN; 2.5.2.2 Multi-layer perceptron; 2.5.2.3 Back propagation algorithm; 2.5.2.4 Internal network parameters; 2.5.2.5 ANN modelling for bioreactors; 2.6 Conclusions 2.7 ReferencesCHAPTER 3 FORECASTING THE EFFECT OF FEAST AND FAMINE CONDITIONS ON BIOLOGICAL SULPHATE REDUCTION IN AN ANAEROBIC INVERSE FLUIDIZED BED REACTOR USING ARTIFICIAL NEURAL NETWORKS; Abstract; 3.1 Introduction; 3.2 Material and methods; 3.2.1 Synthetic wastewater composition; 3.2.2 Carrier material; 3.2.3 Inoculum; 3.2.4 Anaerobic IFB bioreactor set up; 3.2.5 IFB bioreactor operational conditions; 3.2.6 RTD studies; 3.2.7 Chemical analysis; 3.2.8 Data processing; 3.2.8.1 Performance and comparison of the IFB bioreactors; 3.2.8.2 Evaluation of RTD; 3.2.8.3 ANN modelling; 3.3 Results 3.3.1 RTD of the IFB bioreactor3.3.2 Biological sulphate reduction under steady state feeding conditions; 3.3.3 Biological sulphate reduction under non steady feeding conditions; 3.3.4 ANN Modelling; 3.3.4.1 Selecting the best training network parameters; 3.3.5 ANN model predictions and sensitivity analysis; 3.4 Discussion; 3.4.1 Performance of the IFB bioreactors under steady feeding conditions (periods I-IV); 3.4.2 Effect of transient feeding conditions on IFB bioreactor operation; 3.4.3 Robustness of biological sulphate reduction in IFB bioreactors
• Publisher Details: Leiden : CRC Press
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 628.3; Sewage -- Purification -- Biological treatment; Metal wastes -- Environmental aspects; TECHNOLOGY & ENGINEERING / Environmental / General; Electronic books
• Languages: English
• ISBNs: 9780429439209; 0429439202; 9780429799280; 0429799284
• Related ISBNs: 9781138343313; 1138343315
• Notes: Note: Online resource; title from PDF file page (EBSCO, viewed September 5, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.