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Fuel property estimation and combustion process characterization : = conventional fuels, biomass, biocarbon, waste fuels, refuse derived fuel, and other alternative fuels /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuel property estimation and combustion process characterization :/ Yen-Hsiung Kiang.
Reminder of title:	conventional fuels, biomass, biocarbon, waste fuels, refuse derived fuel, and other alternative fuels /
Author:	Kiang, Yen-Hsiung,
Description:	1 online resource
[NT 15003449]:	Front Cover; Fuel Property Estimation and Combustion Process Characterization; Copyright Page; Contents; List of Figures; List of Tables; List of Models; About the Author; 1 Introduction; 2 Model development and validation methodology: A classical big data application; 2.1 Introduction; 2.2 Big Data Technology; 2.3 Regression Analysis Methodology; 2.4 Multicollinearity of Independent Variables; 2.5 Model Development Methodology; 2.5.1 Linear Regression Technique; 2.5.2 Logistic Regression Technique; 2.5.3 Stepwise Regression Technique; 2.5.4 Ridge Regression Technique.
[NT 15003449]:	2.5.5 Lasso Regression Technique2.5.6 Elastic Net Regression Technique; 2.5.7 Conclusion; 2.6 Methodology to Evaluate the Regression Correlation Relationship With Visual Observation and Data Averaging; 2.7 Model Validation Indicators; 2.7.1 Correlation Coefficient (Rxy); 2.7.2 Coefficient of Multiple Determination (R2); 2.7.3 Adjusted Coefficient of Multiple Determination (Radjust2); 2.7.4 Mean Absolute Error and Mean Biased Error; 2.7.5 Mean Absolute Percentage Error and Mean Biased Percentage Error; 2.7.6 Standard Error of Estimation; 2.7.7 Student-t Test.
[NT 15003449]:	2.8 Confidence Interval of Estimated Values2.9 The Use of Model Validation Indicators; 2.9.1 The Use of Mean Absolute Percentage Error/Mean Bias Percentage Error and Mean Absolute Error/Mean Bias Error; 2.9.2 The Use of Correlation Coefficients; 2.9.3 Recommended Model Validation Indicators; 2.10 Methodology to Evaluate, Compare, Rank, and Select Models; 2.11 Combustion Process Characterization and Similarity Evaluation Methodology; 2.11.1 Important Properties or Parameters of Combustion Processes; 2.11.2 Test Scenarios for Combustion Process Characterization and Evaluation.
[NT 15003449]:	2.11.3 Evaluation Methodology2.12 Estimation by Iterative Method; 2.13 End Notes; 3 Basic properties of fuels, biomass, refuse derived fuels, wastes, biosludge, and biocarbons; 3.1 Introduction; 3.2 Fuel Properties; 3.3 Representation of Fuel Properties; 3.4 Heat of Combustion; 3.4.1 Theoretical Determination of Heating Values; 3.4.2 Experimental Determination of Heating Values; 3.4.3 Relationship Between Higher Heating Values and Lower Heating Values; 3.4.4 Standard Procedures for the Determination of Heating Values; 3.5 Proximate Analysis; 3.6 Total Analysis or Ultimate Analysis.
[NT 15003449]:	3.6.1 Elementary Analysis of Organic Fraction of the Fuels3.6.2 Laboratory Determination of Total Analysis; 3.6.3 Standard Procedures for the Determination of Total Analysis; 3.6.4 The Difference Between Fixed Carbon Content in Proximate Analysis and Carbon Concentration in Elementary Analysis; 3.7 Sample Flow and Laboratory Data Consolidation; 3.7.1 Recommended Sample Flow for Total Analysis and Higher Heating Value Determination; 3.7.2 Methodology for Laboratory Data Evaluation and Normalization; 3.8 Properties Required for Combustion System Characterization; 3.9 End Notes.
Subject:	Fuel. -
Online resource:	https://www.sciencedirect.com/science/book/9780128134733
ISBN:	9780128134740

Fuel property estimation and combustion process characterization : = conventional fuels, biomass, biocarbon, waste fuels, refuse derived fuel, and other alternative fuels /
Kiang, Yen-Hsiung,1947-

Fuel property estimation and combustion process characterization :conventional fuels, biomass, biocarbon, waste fuels, refuse derived fuel, and other alternative fuels /Yen-Hsiung Kiang. - 1 online resource

Includes bibliographical references and index.

Front Cover; Fuel Property Estimation and Combustion Process Characterization; Copyright Page; Contents; List of Figures; List of Tables; List of Models; About the Author; 1 Introduction; 2 Model development and validation methodology: A classical big data application; 2.1 Introduction; 2.2 Big Data Technology; 2.3 Regression Analysis Methodology; 2.4 Multicollinearity of Independent Variables; 2.5 Model Development Methodology; 2.5.1 Linear Regression Technique; 2.5.2 Logistic Regression Technique; 2.5.3 Stepwise Regression Technique; 2.5.4 Ridge Regression Technique.

Fuel Property Estimation and Combustion Process Characterization is a thorough tool book, which provides readers with the most up-to-date, valuable methodologies to efficiently and cost-effectively attain useful properties of all types of fuels and achieve combustion process characterizations for more efficient design and better operation. Through extensive experience in fuels and combustion, Kiang has developed equations and methodologies that can readily obtain reasonable properties for all types of fuels (including wastes and biomass), which enable him to provide guidance for designers and operators in the combustion field, in order to ensure the design, operation, and diagnostics of all types of combustion systems are of the highest quality and run at optimum efficiency. Written for professionals and researchers in the renewable energy, combustion, chemical, and mechanical engineering fields, the information in this book will equip readers with detailed guidance on how to reliably obtain properties of fuels quickly for the design, operation and diagnostics of combustion systems to achieve highly efficient combustion processes. Presents models for quick estimation of fuel properties without going through elaborate, costly and time consuming sampling and laboratory testingOffers methodologies to determine combustion process characteristics for designing and deploying combustion systemsExamines the fundamentals of combustion applied to energy systems, including thermodynamics of traditional and alternative fuels combustionPresents a fuel property database for over 1400 fuelsIncludes descriptive application of big data technology, using dual properties analysis as an exampleProvides specific technical solutions for combustion, fuels and waste processing.

ISBN: 9780128134740Subjects--Topical Terms:

676611
Fuel.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TP318

Dewey Class. No.: 662.6

Fuel property estimation and combustion process characterization : = conventional fuels, biomass, biocarbon, waste fuels, refuse derived fuel, and other alternative fuels /
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264 1 $a London ; $a San Diego, CA : $b Academic Press, an imprint of Elsevier, $c 2018.
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504 $a Includes bibliographical references and index.
505 0 $a Front Cover; Fuel Property Estimation and Combustion Process Characterization; Copyright Page; Contents; List of Figures; List of Tables; List of Models; About the Author; 1 Introduction; 2 Model development and validation methodology: A classical big data application; 2.1 Introduction; 2.2 Big Data Technology; 2.3 Regression Analysis Methodology; 2.4 Multicollinearity of Independent Variables; 2.5 Model Development Methodology; 2.5.1 Linear Regression Technique; 2.5.2 Logistic Regression Technique; 2.5.3 Stepwise Regression Technique; 2.5.4 Ridge Regression Technique.
505 8 $a 2.5.5 Lasso Regression Technique2.5.6 Elastic Net Regression Technique; 2.5.7 Conclusion; 2.6 Methodology to Evaluate the Regression Correlation Relationship With Visual Observation and Data Averaging; 2.7 Model Validation Indicators; 2.7.1 Correlation Coefficient (Rxy); 2.7.2 Coefficient of Multiple Determination (R2); 2.7.3 Adjusted Coefficient of Multiple Determination (Radjust2); 2.7.4 Mean Absolute Error and Mean Biased Error; 2.7.5 Mean Absolute Percentage Error and Mean Biased Percentage Error; 2.7.6 Standard Error of Estimation; 2.7.7 Student-t Test.
505 8 $a 2.8 Confidence Interval of Estimated Values2.9 The Use of Model Validation Indicators; 2.9.1 The Use of Mean Absolute Percentage Error/Mean Bias Percentage Error and Mean Absolute Error/Mean Bias Error; 2.9.2 The Use of Correlation Coefficients; 2.9.3 Recommended Model Validation Indicators; 2.10 Methodology to Evaluate, Compare, Rank, and Select Models; 2.11 Combustion Process Characterization and Similarity Evaluation Methodology; 2.11.1 Important Properties or Parameters of Combustion Processes; 2.11.2 Test Scenarios for Combustion Process Characterization and Evaluation.
505 8 $a 2.11.3 Evaluation Methodology2.12 Estimation by Iterative Method; 2.13 End Notes; 3 Basic properties of fuels, biomass, refuse derived fuels, wastes, biosludge, and biocarbons; 3.1 Introduction; 3.2 Fuel Properties; 3.3 Representation of Fuel Properties; 3.4 Heat of Combustion; 3.4.1 Theoretical Determination of Heating Values; 3.4.2 Experimental Determination of Heating Values; 3.4.3 Relationship Between Higher Heating Values and Lower Heating Values; 3.4.4 Standard Procedures for the Determination of Heating Values; 3.5 Proximate Analysis; 3.6 Total Analysis or Ultimate Analysis.
505 8 $a 3.6.1 Elementary Analysis of Organic Fraction of the Fuels3.6.2 Laboratory Determination of Total Analysis; 3.6.3 Standard Procedures for the Determination of Total Analysis; 3.6.4 The Difference Between Fixed Carbon Content in Proximate Analysis and Carbon Concentration in Elementary Analysis; 3.7 Sample Flow and Laboratory Data Consolidation; 3.7.1 Recommended Sample Flow for Total Analysis and Higher Heating Value Determination; 3.7.2 Methodology for Laboratory Data Evaluation and Normalization; 3.8 Properties Required for Combustion System Characterization; 3.9 End Notes.
520 $a Fuel Property Estimation and Combustion Process Characterization is a thorough tool book, which provides readers with the most up-to-date, valuable methodologies to efficiently and cost-effectively attain useful properties of all types of fuels and achieve combustion process characterizations for more efficient design and better operation. Through extensive experience in fuels and combustion, Kiang has developed equations and methodologies that can readily obtain reasonable properties for all types of fuels (including wastes and biomass), which enable him to provide guidance for designers and operators in the combustion field, in order to ensure the design, operation, and diagnostics of all types of combustion systems are of the highest quality and run at optimum efficiency. Written for professionals and researchers in the renewable energy, combustion, chemical, and mechanical engineering fields, the information in this book will equip readers with detailed guidance on how to reliably obtain properties of fuels quickly for the design, operation and diagnostics of combustion systems to achieve highly efficient combustion processes. Presents models for quick estimation of fuel properties without going through elaborate, costly and time consuming sampling and laboratory testingOffers methodologies to determine combustion process characteristics for designing and deploying combustion systemsExamines the fundamentals of combustion applied to energy systems, including thermodynamics of traditional and alternative fuels combustionPresents a fuel property database for over 1400 fuelsIncludes descriptive application of big data technology, using dual properties analysis as an exampleProvides specific technical solutions for combustion, fuels and waste processing.
650 0 $a Fuel. $3 676611
650 0 $a Fuel $x Combustion. $3 3389807
650 0 $a Combustion engineering. $3 910428
650 0 $a Thermodynamics. $3 517304
655 4 $a Electronic books. $2 lcsh $3 542853
856 4 0 $u https://www.sciencedirect.com/science/book/9780128134733