声明
Table of Contents
摘要
ABSTRACT
ABBREVIATIONS
CHAPTER 1：INTRODUCTION
1．1 Background and significance of study
1．2 Novelty statemerit
1．3 Biochemical process of anaerobic digestion(AD)
1．3．1 Hydrolysis
1．3．2 Acidogenesis
1．3．3 Acetogenesis
1．3．4 Methanogenesis
1．4 Influential process parameters on biogas production
1．4．1 Total solids(TS)
1．4．2 pH
1．4．3 Temperature
1．4．4 Carbon to nitrogen(C／N)ratio
1．4．5 Total ammonia nitrogen(TAN)and free ammonia nitrogen(FAN)
1．4．6 Volatile fatty acids
1．4．7 Trace elements
1．4．8 Organic loading rate(OLR)
1．4．9 Hydraulic retention time(HRT)
1．5 Substrates pretreatments
1．5．1 Physical pretreatments
1．5．2 Thermal pretreatments
1．5．3 Chemical pretreatments
1．5．4 Biological pretreatments
1．6 Study objectives
1．7 Layout of dissertation
Reference
CHAPTER 2：MATERIALS AND METHODS
2．1 Experimental layout
2．2 Collecting substrates
2．2．1 Oil refinery wastewater(ORWW)
2．2．2 Chicken manure(CM)
2．2．3 Food wastes(FW)
2．2．4 Sugarcane bagasse(SCB)
2．2．5 Inoculum
2．3 Chemical characteristics analysis
2．3．1 Total solids and volatile solids
2．3．2 Total organic carbon(TOC)，total nitrogen，phosphorus and potassium(TNPK)
2．3．3 Soluble chemical oxygen demand(CODs)
2．3．4 Volatile fatty acids(VFAs)
2．3．5pH
2．3．6 Total ammonia nitrogen(TAN)and free ammonia nitrogen(FAN)
2．3．7 Lignocellulosic analysis
2．4 Applied pretreatments
2．4．1 Ultrasonic pretreatment
2．4．2 Thermochemical pretreatment
2．5 Anaerobic digestion experiments
2．5．1 Bateh reactor experiments
2．5．2 Semi-Continuous stirrer tank reactor(CSTR)
2．5．3 Biogas production measurement and composition analysis
2．6 Modeling experimental BMP data
2．6．1 Semi-empirical modeling
2．6．2 Theoretical modeling
References
CHAPTER 3：SYNERGETIC EFFECTS OF ANAEROBIC CODIGESTION OF OIL REFINERY WASTE WATER WITH FOOD WASTE；BATCH METHOD
3．1 Introduction
3．2．Test procedure
3．2．1 BMP experimental design
3．2．2 Fitting various models to the experimental data
3．3 Results and discussion
3．3．1 Chemical characteristics of the substrates
3．3．2 Biogas and methane production
3．3．3 Application of mathematical models
3．3．4 The pH，TVFA and TAN profiles during the fermentation
3．3．5 CODs profile and COD removal
3．4 Conclusion
Reference
CHAPTER 4：EVALUATING ANAEROBIC CO-DIGESTION OF OIL REFINERY WASTE WATER WITH CHICKEN MANURE
4．1 Introduction
4．2 Study the anaerobic co-digestion of oil refinery wastewater and chicken manure to produce biogas and modeling its kinetic parameters
4．2．1 Test procednres
4．2．2 Results and discussion
4．3 Modeling and multi-response optimization for anaerobic co-digestion of oil refinery wastewater with chicken manure by using artificial neural network and the Taguchi method
4．3．1 Test procedures
4．3．2 Results and discussion
4．4 Conclusions
Reference
CHAPTER 5：SYNERGETIC EFFECTS OF ANAERoBIC CO-DIGESTIONOF TREATED AND UNTREATED ORWW WITH SCB ON BIOGAS ENHANCEMENT
5．1 Introduction
5．2 Anaerobic co-digestion of oil refinery wastewater with bagasse；evaluating and modeling using neural networkalgorithms and mathematical equations
5．2．1 Test procedure
5．2．2 Results and discussion
5．3 Multi-responses optimization of co-fermentation process of MW assisted alkaline pre-treated ORWW with AC assisted alkaline pre-treated SCB；evaluating，optimizing and modeling
5．3．1 Test procedures
5．3．2 Results and discussion
5．4 CoilelUsions
References
CHAPTER 6：OPTIMIZING ANAEROBIC CO-DIGESTION PROCESS CONDITIONS OF ULTRA-SONICATED ORWW WITH FW IN CSTR REACTOR
6．1 Introduction
6．2 Test procedure
6．2．2 Taguehi’s L9(34)orthogonal design
6．2．3 Implementing artificial neural network to model BGP and BMP content
6．3 Results and discussiou
6．3．1 Chemical characteristics of treated and untreated substrates
6．3．2 Biogas production and BMP content for different experimental runs
6．3．3 AeoD process parameters profiles(TAN，pH，and TVFA)
6．3．4 Optimization results and confirming experiment
6．3．5 Implementation of ANN to model BGP yield and bio-methane content
6．4 Conelusion
Refefences
CHAPTER 7：CONCLUSION AND RECOMMENDATIONS
7．1 Conclusions
7．2 Novelty aspects
7．3 Recommendations
RESEARCH PAPERS
AKNOWLEDGMENTS
南京农业大学;
