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Fuel property estimation and combustion process characterization : conventional fuels, biomass, biocarbon, waste fuels, refuse derived fuel, and other alternative fuels /
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 mo...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London ; San Diego, CA :
Academic Press, an imprint of Elsevier,
[2018]
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.
- 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.
- 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.
- 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.
- 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.