
Fuel Property Estimation and Combustion Process Characterization
Conventional Fuels, Biomass, Biocarbon, Waste Fuels, Refuse Derived Fuel, and Other Alternative Fuels
Description
Key Features
- Presents models for quick estimation of fuel properties without going through elaborate, costly and time consuming sampling and laboratory testing
- Offers methodologies to determine combustion process characteristics for designing and deploying combustion systems
- Examines the fundamentals of combustion applied to energy systems, including thermodynamics of traditional and alternative fuels combustion
- Presents a fuel property database for over 1400 fuels
- Includes descriptive application of big data technology, using dual properties analysis as an example
- Provides specific technical solutions for combustion, fuels and waste processing
Readership
Thermal energy engineers, researchers, academics and graduates specializing in combustion, those involved in the design, operation and diagnostics of combustion systems, boiler designers and manufacturers, alternative fuel system designers. Engineering professionals and researchers, both in academia and industry R&D, designing, planning and operating bioenergy and waste to energy systems
Table of Contents
Chapter 1: Introduction
Chapter 2: Basic Properties of Fuels, Biomass, Wastes, bio sludge and Biocarbons
2.1 Fuel Properties
2.2 Heat Of Combustion
2.3 Proximity Analysis
2.5 Ultimate Analysis
2.6 Properties to be Predicted
Chapter 3: Data Base of Fuels, Biomass, Wastes, bio sludge and Biocarbons
3.1 Organics
3.2 Biomass
3.3 Biocarbons
Chapter 4: Analysis of Fuel Properties
4.1 Calculation of True Heat of Combustion
4.2 The Effect of Moisture Contents in Heat of Combustion Determination
4.3 Higher Heating Values and Lower Heating Values
4.4 Composition Ratios
4.5 Oxygen Demand of Fuels
4.6 The Uniqueness of Heat of Combustion
Chapter 5: Estimate Higher Heating Value from Ultimate Analysis
5.1 Existing Mathematical Models Based on the Ultimate Analysis
5.2 The Significance of Prediction Models 101 and 102
5.3 Validation Method
5.4 Model Statistics and Validation
5.5 Recommended Choice of Models
5.6 How to Use these Models
5.7 Sample Calculations
Chapter 6: Higher Heating Value Estimation from Components of Trash
6.1 Estimation Models from Regression Analysis
6.2 Estimation Models from Heating Values of Components
6.3 How to Use these Models
6.4 Sample Calculation
Chapter 7: Estimate Total Analysis from Higher Heating Value
7.1 Six Components Estimation Models
7.2 Three Components Estimation Models
7.3 How to Use these Models
7.4 Sample Calculations
Chapter 8: Combustion Process Calculation for Fuels, Biomass, Wastes, bio sludge and Bio carbons
8.1 Products of Complete Combustion
8.2 Enthalpy Contents of Combustion Products
8.3 Mass Balance Calculation for Combustion Process
8.4 Energy Balance Calculation for Combustion Process
Chapter 9: Combustion Process Characterization for Fuels, Biomass, Wastes, bio sludge and Bio carbons
9.1 Estimation of Free Halogen Formation from the Combustion of Halogenated Fuels
9.2 Estimate the Conversion of SO2 to SO3 in Combustion Process with Sulphur in the Fuel
9.3 Estimation of Nitrogen Oxides Formation from Combustion Process
9.4 Dioxin Formation during Combustion
9.5 Estimation of Product of Incomplete Combustion from Combustion Process
9.6 Estimate Dew Points of Water Vapour and Acids In Combustion Products
Chapter 10: Biomass Combustion Fundamentals and Energy Systems
10.1 Fundamentals of Combustion Thermodynamics
10.2 Liquid Fuel Combustion Kinetics
10.3 Solid Fuel Combustion Kinetics
10.4 General Combustion and Energy Systems
10.5 Combustion Control Consideration
10.6 Liquid Waste Storage and Feeding Consideration
10.7 System Design Schemes for Bio Sludge Drying
10.8 General Combustion Process Emission Control systems
10.9 Controlling Nitrogen Dioxide Emissions
10.10 Controlling Dioxin Emissions
Product details
- No. of pages: 460
- Language: English
- Copyright: © Academic Press 2018
- Published: February 20, 2018
- Imprint: Academic Press
- eBook ISBN: 9780128134740
- Paperback ISBN: 9780128134733
About the Author
Yen-Hsiung Kiang
Affiliations and Expertise
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