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Thermofluid modeling for energy efficiency applications / edited by M. Masud K. Khan, Nur M.S. Hassan.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Computational fluid dynamics.
- Physical Description:
- 1 online resource (0 p.)
- Edition:
- 1st edition
- Place of Publication:
- Amsterdam, Netherlands : Academic Press, 2016.
- Language Note:
- English
- System Details:
- text file
- Summary:
- Thermofluid Modeling for Sustainable Energy Applications provides a collection of the most recent, cutting-edge developments in the application of fluid mechanics modeling to energy systems and energy efficient technology. Each chapter introduces relevant theories alongside detailed, real-life case studies that demonstrate the value of thermofluid modeling and simulation as an integral part of the engineering process. Research problems and modeling solutions across a range of energy efficiency scenarios are presented by experts, helping users build a sustainable engineering knowledge base. The text offers novel examples of the use of computation fluid dynamics in relation to hot topics, including passive air cooling and thermal storage. It is a valuable resource for academics, engineers, and students undertaking research in thermal engineering. Includes contributions from experts in energy efficiency modeling across a range of engineering fields Places thermofluid modeling and simulation at the center of engineering design and development, with theory supported by detailed, real-life case studies Features hot topics in energy and sustainability engineering, including thermal storage and passive air cooling Provides a valuable resource for academics, engineers, and students undertaking research in thermal engineering
- Contents:
- Front Cover
- Thermofluid Modeling for Energy Efficiency Applications
- Copyright Page
- Contents
- List of Contributors
- Preface
- 1 Performance Evaluation of Hybrid Earth Pipe Cooling with Horizontal Piping System
- 1.1 Introduction
- 1.2 Earth Pipe Cooling Technology
- 1.3 Green Roof System
- 1.4 Experimental Design and Measurement
- 1.5 Model Description
- 1.5.1 Modeling Equation
- 1.5.2 Geometry of the Model
- 1.5.3 Mesh Generation
- 1.5.4 Solver Approach
- 1.6 Results and Discussion
- 1.7 Conclusion
- Acknowledgments
- References
- 2 Thermal Efficiency Modeling in a Subtropical Data Center
- 2.1 Introduction
- 2.2 CFD Modeling of Data Center
- 2.2.1 Simulation Approach
- 2.2.2 Modeling Equations
- 2.3 Data Center Description
- 2.4 Results and Discussion
- 2.4.1 Experimental
- 2.4.2 Simulations Results
- 2.4.2.1 Data Center Room and Rack Thermal Maps
- 2.4.2.2 Static Pressure Map
- 2.4.2.3 Air Flow Paths
- 2.5 CRAC Performance
- 2.6 Conclusions and Recommendations
- Nomenclature
- 3 Natural Convection Heat Transfer in the Partitioned Attic Space
- 3.1 Introduction
- 3.2 Problem Formulation
- 3.3 Numerical Approach and Validation
- 3.4 Results and Discussions
- 3.4.1 Development of Coupled Thermal Boundary Layer
- 3.4.2 Effect of Geometry Configuration
- 3.4.3 Effect of Rayleigh Number
- 3.5 Conclusions
- 4 Application of Nanofluid in Heat Exchangers for Energy Savings
- 4.1 Introduction
- 4.2 Types of Nanoparticles and Nanofluid Preparation
- 4.3 Application of Nanofluid in Heat Exchangers
- 4.4 Physical Model and Boundary Values
- 4.5 Governing Equations
- 4.6 Thermal and Fluid Dynamic Analysis
- 4.7 Thermophysical Properties of Nanofluid
- 4.7.1 Thermal Conductivity
- 4.7.2 Dynamic Viscosity
- 4.7.3 Density
- 4.7.4 Specific Heat
- 4.8 Numerical Method.
- 4.9 Code Validation
- 4.10 Grid Independence Test
- 4.11 Results and Discussions
- 4.11.1 Heat Transfer Coefficient for Different Volume Fraction of Nanofluid
- 4.11.2 Heat Transfer Coefficient for Different Nanofluids at the Same Volume Fraction
- 4.11.3 Pumping Power
- 4.12 Case Study for a Typical Heat Exchanger
- 4.13 Conclusions
- Greek symbols
- Subscripts
- Dimensionless parameter
- 5 Effects of Perforation Geometry on the Heat Transfer Performance of Extended Surfaces
- 5.1 Introduction
- 5.2 Problem Description
- 5.3 Governing Equations
- 5.4 Numerical Model Formulation
- 5.4.1 Geometric Configuration and Computational Procedure
- 5.4.2 Validation of the Numerical Simulation
- 5.5 Results and Discussions
- 5.5.1 Nusselt Number Variation with the Reynolds Number
- 5.5.2 Effects of Drag Force
- 5.5.3 Heat Removal Rate at Various Reynolds Numbers
- 5.6 Conclusions
- 6 Numerical Study of Flow Through a Reducer for Scale Growth Suppression
- 6.1 Introduction
- 6.2 The Bayer Process
- 6.2.1 Bayer Process Scaling
- 6.3 Fundamentals of Scaling
- 6.4 Particle Deposition Mechanisms
- 6.5 Fluid Dynamics Analysis in Scale Growth and Suppression
- 6.6 Target Model
- 6.7 Numerical Method
- 6.8 Grid Independence Test
- 6.9 Results and Discussion
- 6.9.1 Variation of Fluctuating Velocity Components along Radius
- 6.9.2 Variation of Fluctuating Velocity Components Along Reducer Wall
- 6.9.3 Variation of Turbulent Kinetic Energy Along Radius
- 6.10 Conclusions
- 7 Parametric Analysis of Thermal Comfort and Energy Efficiency in Building in Subtropical Climate
- 7.1 Introduction
- 7.2 Climate Condition
- 7.3 Envelope Construction
- 7.3.1 Conventional Construction Systems
- 7.3.2 Novel Construction Systems.
- 7.4 Simulation Principles
- 7.4.1 Model Development
- 7.5 Results and Analysis
- 7.6 Conclusions
- 8 Residential Building Wall Systems: Energy Efficiency and Carbon Footprint
- 8.1 Introduction
- 8.1.1 Thermal Comfort
- 8.1.2 Thermal Insulation
- 8.1.3 Lag Time
- 8.1.4 R-Value
- 8.1.5 Thermal Masses
- 8.2 Design Patterns of Australian Houses
- 8.2.1 Timber Weatherboard House
- 8.2.2 Fibro Cement Weatherboard House
- 8.2.3 Double Brick Veneer House
- 8.2.4 Single Brick Veneer House (Conventional House)
- 8.3 House Wall Systems
- 8.3.1 House Wall Configuration
- 8.3.2 Conventional House Wall
- 8.4 Energy Star Rating and Thermal Performance Modeling Tools
- 8.5 Results
- 8.5.1 Conventional House Wall (Benchmark)
- 8.5.2 New House Wall
- 8.5.3 Inner and Outer Insulation Positions
- 8.6 Discussion
- 8.6.1 Industrial Implications
- 8.7 Concluding Remarks
- 9 Cement Kiln Process Modeling to Achieve Energy Efficiency by Utilizing Agricultural Biomass as Alternative Fuels
- 9.1 Introduction
- 9.2 Cement Manufacturing Process
- 9.2.1 Kiln
- 9.3 Alternative Fuels
- 9.4 Agricultural Biomass
- 9.4.1 Agricultural Biomasses in Australia
- 9.4.2 Selection of Agricultural Biomass
- 9.4.3 Chemical Composition of Alternative Fuels
- 9.5 Model Development and Validation
- 9.5.1 Model Principle
- 9.5.2 Model Assumption
- 9.5.3 Model Validation
- 9.5.4 Modified Kiln Model
- 9.6 Simulation Results and Discussion
- 9.7 Conclusion
- 10 Modeling and Simulation of Heat and Mass Flow by ASPEN HYSYS for Petroleum Refining Process in Field Application
- 10.1 Introduction
- 10.2 Heating Furnace
- 10.2.1 Burner
- 10.2.2 Furnace Tube/Coil System
- 10.2.3 Furnace Wall System
- 10.2.4 Flue Gas Venting System
- 10.2.5 Blower, Fire Watch Door, Explosion-Proof Door
- 10.2.6 Control System.
- 10.2.7 Furnace Drying Technique
- 10.3 Distillation Unit
- 10.4 Simulation and Optimization of the Refining Processes
- 10.4.1 ASPEN™ HYSYS Working Phenomena
- 10.4.2 Techniques Used for This Simulation
- 10.4.3 Basic Assumptions
- 10.4.4 Simulation for the Case Study Plant
- 10.4.5 Heat and Material Balance
- 10.4.6 Energy Usage Analysis
- 10.4.7 Energy Management
- 10.4.7.1 Short-Term Measures
- 10.4.7.2 Medium-Term Measures
- 10.4.7.3 Long-Term Measures
- 10.5 Conclusion
- 11 Modeling of Solid and Bio-Fuel Combustion Technologies
- 11.1 Introduction
- 11.2 Different Carbon Capture Technologies
- 11.3 Status of Coal/Biomass Combustion Technology
- 11.4 Modeling of Coal/Biomass Combustion
- 11.4.1 Fundamentals of Combustion Modeling
- 11.4.2 Recent Numerical Activities in Combustion
- 11.5 Modeling of Packed Bed Combustion
- 11.5.1 Recent Numerical Models
- 11.5.2 Modeling Methodology
- 11.6 Modeling of Slagging in Combustion
- 11.6.1 Fundamentals of Slagging
- 11.6.2 Processes Involved in Slagging
- 11.6.3 Recent Numerical Works
- 11.7 Example A: Lab-Scale Modeling for Coal Combustion
- 11.7.1 Experimental Study Considered
- 11.7.2 Furnace Description and Operating Conditions
- 11.7.3 Effect of Different Performance Parameters
- 11.8 Example B: Lab-Scale Modeling for Coal/Biomass Co-Firing
- 11.8.1 Experimental Study Considered
- 11.8.2 Investigated Cases
- 11.8.3 Outcome of the Investigation
- 11.9 Conclusion
- Greek Symbols
- List of Abbreviations
- 12 Ambient Temperature Rise Consequences for Power Generation in Australia
- 12.1 Introduction
- 12.1.1 Energy Use Projection for Australia up to Year 2035
- 12.1.2 Projected Power Generation in Australia up to the Year 2100
- 12.1.3 The Rise of Ambient Temperature in Australia up to the year 2100.
- 12.1.3.1 Impact of Ambient Temperature Change in Australia
- 12.1.3.2 Impact of Ambient Temperature Change on Energy and Infrastructure in Australia
- 12.1.4 Australian Ambient Temperature Change Scenario and Model Analysis
- 12.1.4.1 Scenario Analysis
- 12.1.4.2 Model Analysis
- 12.1.5 Impact of Ambient Temperature Rise on Power Generation in Australia's States and Territories
- 12.1.5.1 Impact on Power Generation in New South Wales
- 12.1.5.2 Impact on Power Generation in Victoria
- 12.1.5.3 Impact on Power Generation in Queensland
- 12.1.5.4 Impact on Power Generation in South Australia
- 12.1.5.5 Impact on Power Generation in Western Australia
- 12.1.5.6 Impact on Power Generation in the Northern Territory
- 12.1.5.7 Impact on Power Generation in Tasmania
- 12.2 Overall Impact on Power Generation in Australia
- 12.3 Reduction of Power Generation Efficiency in Australia from 2030 to 2100
- 12.4 Concluding Remarks
- Index
- Back Cover.
- Notes:
- Description based upon print version of record.
- Includes bibliographical references at the end of each chapters and index.
- Description based on online resource; title from PDF title page (ebrary, viewed December 1, 2015).
- ISBN:
- 9780128025895
- 0128025891
- 9780128023976
- 012802397X
- OCLC:
- 932328780
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