This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques.
Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.
Author(s): Biplab Das, Jagadish
Series: Mechanical Engineering Series
Publisher: Springer
Year: 2023
Language: English
Pages: 142
City: Cham
Preface
Outline
Chapters Brief
Chapter 1: Introduction
Chapter 2: Modeling and Optimization of Solar Air Collector Using GRA
Chapter 3: ANN-Based Modeling and Optimization of Corrugated Solar Air Collector
Chapter 4: Investigation of Thermal Performance of Solar Collector Variables Using Fuzzy Logic-Based Expert System
Chapter 5: Sustainability Assessment of Solar Air Collector Using Entropy-JAYA Method
Chapter 6: Optimization of a Photovoltaic Thermal Solar Collector Using Entropy-VIKOR Method
Acknowledgment
About This Book
Contents
About the Authors
Chapter 1: Introduction
1.1 Introduction
1.2 Introduction to Solar Thermal Systems
1.3 Classification of Solar Thermal Systems (Fig. 1.1)
1.4 Applications of Solar Thermal Systems
1.5 Development and Research Issues in Solar Thermal Systems
1.6 Modeling and Optimization of Solar Thermal Systems
1.7 Introduction to Soft Computing Techniques
1.7.1 Application of Soft Computing Techniques for PV/T Systems
1.7.2 Application of Soft Computing Techniques for Solar Flat Plate Collectors
1.7.3 Application of Soft Computing Techniques in Other Hybrid Energy Systems
1.8 Summary
References
Chapter 2: Modeling and Optimization of Solar Air Collector Using GRA
2.1 Introduction
2.2 The Methodological Approach
2.2.1 Modeling of Thermal Energy
2.2.2 Exergy Analysis
2.2.3 Grey Relational Analysis (GRA)
2.2.4 Experimentation Specifics
2.3 Results and Discussion
2.3.1 Parametric Analysis
2.3.1.1 Variation of Temperature Rise
2.3.1.2 Variation of Energy Efficiency
2.3.1.3 Variation of Exergy Efficiency
2.3.1.4 Variation of Pressure Drop
2.3.1.5 Optimization of Solar Air Collector
2.4 Conclusion
References
Chapter 3: ANN-Based Modeling and Optimization of Corrugated Solar Air Collector
3.1 Introduction
3.2 Modeling of Thermal Energy
3.2.1 Thermal Analysis
3.2.2 Exergy Analysis
3.2.3 Proposed ANN Model
3.2.4 Experimental Setup and Procedure
3.3 Parametric Analysis
3.3.1 Energy Efficiency
3.3.2 Exergy Efficiency
3.3.3 Temperature Difference
3.3.4 Pressure Drop
3.3.5 ANN Modeling of Corrugated SAC
3.4 Conclusion
References
Chapter 4: Investigation of Thermal Performance of Solar Collector Variables Using Fuzzy Logic-Based Expert System
4.1 Introduction
4.2 Modeling and Methodology
4.2.1 Thermal Modeling
4.2.2 Fuzzy Logic-Based Expert System
4.2.3 Experimental Procedure
4.3 Results and Discussion
4.3.1 SCSAC Parameter Optimization Using the Planned Approach
4.3.2 Parametric Analysis
4.3.2.1 Temperature Rise Variation
4.3.2.2 Energy Efficiency Variation
4.3.2.3 Pressure Drop
4.4 Validation of the Proposed Method
4.4.1 Confirmation Tests for Validation
4.5 Conclusions
References
Chapter 5: Sustainability Assessment of Solar Air Collector Using Entropy-JAYA Method
5.1 Introduction
5.2 Methodology and Experimentation
5.2.1 Thermal Energy Modeling
5.2.2 Energy Analysis
5.2.3 Exergy Analysis
5.2.4 Sustainability Index (SI)
5.2.5 Environmental Impact Factor (EIF)
5.3 Experimental Procedure
5.4 Proposed Method
5.5 Modelling of SAC System
5.6 Parametric Analysis
5.6.1 Variation in Solar Radiation and Ambient Temperature
5.6.2 Energy Efficiency Variation
5.6.3 Exergy Efficiency Variation
5.6.4 Variation of Sustainability Index
5.6.5 Environmental Impact Factor
5.7 Optimization of SAC
5.8 Conclusion
References
Chapter 6: Optimization of a Photovoltaic Thermal Solar Collector Using Entropy-VIKOR Method
6.1 Introduction
6.2 Thermal Modelling and Experimentation
6.2.1 Thermal Modelling
6.2.2 Experimental Procedure
6.3 Proposed MCDM Method
6.4 Parametric Analysis
6.4.1 Variation of Outlet Temperature
6.4.2 Variation of Thermal Energy Yield and Exergy Yield
6.4.3 Variation of Electrical Energy Yield and Electrical Efficiency
6.4.4 Modeling of PVT System Using Proposed MCDM Method
6.4.5 Optimization Results of PVTAC Parameters
6.5 Confirmatory Tests
6.6 Conclusions and Future Direction
References
Index
