عنوان

Optimization of the Electron Donor Supply to Sulphate Reducing Bioreactors Treating Inorganic Wastewater /

0429439202

0429799284

9780429439209

9780429799280

1138343315

9781138343313

Optimization of the Electron Donor Supply to Sulphate Reducing Bioreactors Treating Inorganic Wastewater /

[Book]

Luis Carlos Reyes-Alvarado.

Leiden :

CRC Press,

[2018]

©2018

1 online resource (xxvii, 233 pages) :

illustrations (some color)

Includes bibliographical references.

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.

0

8

8

8

8

The main objective of this research was to optimize the electron donor supply in sulphate reducing bioreactors treating sulphate rich wastewater. Two types of electron donor were tested: lactate and slow release electron donors such as carbohydrate based polymers and lignocellulosic biowastes. Biological sulphate reduction was evaluated in different bioreactor configurations: the inverse fluidized bed, sequencing batch and batch reactors. The reactors were tested under steady-state, high-rate and transient-state feeding conditions of electron donor and acceptor, respectively. The results showed that the inverse fluidized bed reactor configuration is robust and resilient to transient and high-rate feeding conditions at a hydraulic retention time as low as 0.125 d. The biological sulphate reduction was limited by the COD:sulphate ratio (<1.7). The results from artificial neural network modelling showed that the influent sulphate concentrations synergistically affected the COD removal efficiency and the sulphide production. Concerning the role of electron donors, the slow release electron donors allowed a biological sulphate reduction> 82% either using carbohydrate based polymers or lignocellulosic bio-wastes, in batch bioreactors. The biological sulphate reduction was limited by the hydrolysis-fermentation rate and by the complexity of the slow release electron donors.

Ingram Content Group

9780429799280

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

9781138343313

Metal wastes-- Environmental aspects.

Sewage-- Purification-- Biological treatment.

Metal wastes-- Environmental aspects.

Sewage-- Purification-- Biological treatment.

TECHNOLOGY & ENGINEERING-- Environmental-- General.

TEC-- 010000

Reyes-Alvarado, Luis Carlos

20200822162150.0

pn

[Book]

Y