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|a 9783030639167
|q (electronic bk.)
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|a MiAaPQ
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|a TJ807-830
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|a Mporas, Iosif.
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|a Energy and Sustainable Futures :
|b Proceedings of 2nd ICESF 2020.
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|a 1st ed.
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|a Cham :
|b Springer International Publishing AG,
|c 2021.
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|c ©2021.
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| 300 |
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|a 1 online resource (274 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Springer Proceedings in Energy Series
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|a Intro -- Preface -- Acknowledgements -- Contents -- Part I Energy Storage and Sources -- 1 Solute Driven Transient Convection in Layered Porous Media -- 1.1 Introduction -- 1.2 Governing Equations and Model -- 1.3 Numerical Simulations -- 1.4 Results and Discussion -- 1.5 Conclusions -- References -- 2 Towards an Optimal Deep Neural Network for SOC Estimation of Electric-Vehicle Lithium-Ion Battery Cells -- 2.1 Introduction -- 2.2 Background and Motivation -- 2.2.1 Machine Learning Methods for SOC Estimation of EV Batteries -- 2.3 Experimental Setup and Design -- 2.3.1 Data Extraction -- 2.3.2 Deep Learning for SOC Estimation -- 2.4 Results and Discussion -- 2.5 Conclusion -- References -- 3 A Brief Review on Nano Phase Change Material-Based Polymer Encapsulation for Thermal Energy Storage Systems -- 3.1 Introduction -- 3.2 Polymer Encapsulation-Based Phase Change Materials -- 3.3 Nanoparticles Based Phase Change Materials (Nano-PCMs) -- 3.4 Discussion and Future Work -- 3.5 Conclusion -- References -- 4 Exploring the Relationship Between Heat Absorption and Material Thermal Parameters for Thermal Energy Storage -- 4.1 Introduction -- 4.2 Methodology -- 4.2.1 System Design -- 4.2.2 Boundary Conditions and Assumptions -- 4.2.3 Materials and Analysis -- 4.3 Results -- 4.4 Discussion -- 4.5 Conclusion -- References -- Part II ICT and Control -- 5 A Novel Approach for U-Value Estimation of Buildings' Multi-layer Walls Using Infrared Thermography and Artificial Intelligence -- 5.1 Introduction -- 5.2 Methodology -- 5.3 Experimental Work -- 5.4 Results and Discussion -- 5.5 Conclusion -- References -- 6 Binary versus Multiclass Deep Learning Modelling in Energy Disaggregation -- 6.1 Introduction -- 6.2 Proposed Architecture -- 6.3 Experimental Setup -- 6.4 Experimental Results -- 6.5 Conclusion -- References.
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|a 7 Review of Heat Demand Time Series Generation for Energy System Modelling -- 7.1 Introduction -- 7.2 Input Data Used in This Work -- 7.3 Top Down Methods -- 7.4 Validation Using Heat Demand from Gas -- 7.5 Results and Discussion -- 7.6 Conclusions -- References -- 8 Detection of Patterns in Pressure Signal of Compressed Air System Using Wavelet Transform -- 8.1 Introduction and Literature Review -- 8.2 Compressed Air Pressure Signal -- 8.3 Experiments and Results -- 8.3.1 Idle Case -- 8.3.2 Tool Activation Case -- 8.3.3 Faulty Case -- 8.4 Conclusion -- References -- 9 The Impact of Data Segmentation in Predicting Monthly Building Energy Use with Support Vector Regression -- 9.1 Introduction -- 9.2 Research Method -- 9.3 Results and Discussion -- 9.3.1 Daily, Weekly and Monthly Control Building Energy Predictions -- 9.3.2 Segmented Monthly Building Energy Usage Predictions -- 9.4 The Conclusion -- Appendix -- References -- 10 Development of an Advanced Solar Tracking Energy System -- 10.1 Introduction -- 10.2 System Configuration -- 10.3 Controller Design -- 10.4 Results and Discussion -- 10.5 Conclusion -- References -- 11 Integration of Building Information Modelling and Augmented Reality for Building Energy Systems Visualisation -- 11.1 Introduction -- 11.2 Method -- 11.2.1 Generation of a BIM Model -- 11.2.2 Visualisation in AR -- 11.3 Results -- 11.4 Discussion -- 11.4.1 Visualisation Procedure -- 11.4.2 Current Limitations -- 11.5 Conclusion -- References -- 12 GB Grid 9 August 2019 Power Outage and Grid Inertia -- 12.1 Introduction -- 12.1.1 An "Incredibly Rare Event" with "Immense Disruption"[1] -- 12.1.2 Current Trends in Power Distribution -- 12.2 Investigations -- 12.2.1 Objectives -- 12.2.2 Initial Design to Study 9 August Outage -- 12.3 Results and Discussion -- 12.4 Conclusion -- References.
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|a 13 Analytical Model for Compressed Air System Analysis -- 13.1 Introduction -- 13.2 Modelling Individual Components -- 13.2.1 Compressor -- 13.2.2 Air Cooler -- 13.2.3 Storage Tank -- 13.3 Simulation and Results -- 13.3.1 Storage Tank Size -- 13.3.2 System Pressure -- 13.4 Conclusion -- References -- 14 Design Improvement of Water-Cooled Data Centres Using Computational Fluid Dynamics -- 14.1 Introduction -- 14.2 Rack Cabinet Design -- 14.3 CFD and CAD Modelling -- 14.4 Boundary Conditions -- 14.5 Results and Discussions -- 14.6 Conclusion -- References -- Part III Renewables -- 15 Enhancing Methane Production from Spring-Harvested Sargassum muticum -- 15.1 Introduction -- 15.2 Experimental Methods -- 15.2.1 Sample Preparation -- 15.2.2 Dry Weight and Ash Content -- 15.2.3 Biochemical Methane Potential (BMP) Determination and Specific CH4 Yield Calculation -- 15.2.4 Statistical Analysis -- 15.3 Results -- 15.3.1 Dry Weight and Ash Content of Extracts and Residues -- 15.3.2 CH4 Production Profile and Specific CH4 Yield -- 15.4 Discussion -- 15.5 Conclusion -- References -- 16 Integration of Catalytic Biofuel Production and Anaerobic Digestion for Biogas Production -- 16.1 Introduction -- 16.2 Experimental -- 16.2.1 Solid Residue Preparation and Characterisation -- 16.2.2 Batch Anaerobic Digestion -- 16.3 Results -- 16.3.1 Material Characterisation -- 16.3.2 Effects of SR on Methane Production During CM Digestion -- 16.4 Conclusion -- References -- 17 Effects of CrN/TiN Coatings on Interfacial Contact Resistance of Stainless Steel 410 Bipolar Plates in Fuel Cells -- 17.1 Introduction -- 17.2 Material and Specimens -- 17.3 Experimental Procedure -- 17.4 Result and Discussion -- 17.5 Conclusion -- References -- 18 Moisture Stable Soot Coated Methylammonium Lead Iodide Perovskite Photoelectrodes for Hydrogen Production in Water -- 18.1 Introduction.
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|a 18.2 Experimental -- 18.2.1 Synthesis of Methylammonium Lead Iodide -- 18.2.2 Solar Cell Fabrication -- 18.3 Results and Discussion -- 18.3.1 Analysis of the Crystal Structure -- 18.3.2 Optical Measurements -- 18.3.3 Photoelectrochemical Measurements -- 18.4 Conclusion -- References -- 19 Low-Speed Aerodynamic Analysis Using Four Different Turbulent Models of Solver of a Wind Turbine Shroud -- 19.1 Introduction -- 19.2 Experimental -- 19.2.1 K-ω Turbulent Model -- 19.2.2 The Reynolds Stress Turbulent Model -- 19.2.3 Detached Eddy Simulation: DES (IDDES SST k-ω Turbulence Model) -- 19.2.4 Large Eddy Simulation (LES WALE) -- 19.2.5 Geometry and Mesh Generation -- 19.3 Results and Discussion -- 19.4 Conclusion -- References -- 20 Design Procedure of a Hybrid Renewable Power Generation System -- 20.1 Introduction -- 20.2 Theory and Methodologies -- 20.2.1 Profile Demand -- 20.2.2 Solar Power Generation -- 20.2.3 Wind Power Generation -- 20.2.4 Micro Gas Turbine Power Generation -- 20.2.5 Battery Pack Sizing -- 20.3 Financial Modelling -- 20.4 Results and Discussion -- 20.4.1 Single Power Generation Plants -- 20.4.2 Hybrid Power Generation Plants -- 20.5 Conclusion -- References -- 21 Recycling Mine Tailings for a Sustainable Future Built Environment -- 21.1 Introduction -- 21.2 Mine Tailings -- 21.2.1 Properties of Mine Tailings -- 21.3 Research Trends for Application in Built Environment -- 21.3.1 Bricks -- 21.3.2 Tiles -- 21.3.3 Fine Aggregate -- 21.3.4 Coarse Aggregates -- 21.3.5 Cementitious Binders -- 21.4 Discussions and Conclusions -- References -- 22 Optimal Design of Environmental-Friendly Hybrid Power Generation System -- 22.1 Introduction -- 22.2 Theory and Methodologies -- 22.3 Results and Discussion -- 22.4 Conclusion -- References -- 23 Distributed Activation Energy Model for Thermal Decomposition of Polypropylene Waste -- 23.1 Introduction.
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|a 23.2 Experimental -- 23.2.1 Theoretical Considerations -- 23.3 Results and Discussion -- 23.3.1 Estimation of Activation Energy -- 23.4 Conclusion -- References -- 24 Innovative Strategy for Addressing the Challenges of Monitoring Off-Shore Wind Turbines for Condition-Based Maintenance -- 24.1 Introduction -- 24.2 The Case Study -- 24.3 Condition Monitoring and SCADA Data -- 24.4 Sensory and Alarm Integration Procedure -- 24.5 Discussion: Time-Based and Event-Based Data Integration Case Study -- 24.6 Conclusion -- References -- Part IV Electric Vehicles and Transportation Technology -- 25 Impact of Replacing Conventional Cars with Electric Vehicles on UK Electricity Grid and Carbon Emissions -- 25.1 Introduction -- 25.1.1 Description of CV and EV -- 25.1.2 EV Market Size -- 25.1.3 Electricity Demand and Carbon Emissions in the UK -- 25.2 Methodology -- 25.3 Results and Discussion -- 25.4 Discussion -- 25.5 Conclusions -- References -- 26 The Effect of Temperature Variation on Bridges-A Literature Review -- 26.1 Introduction -- 26.2 Thermal Response of Bridges -- 26.2.1 Temperature Distribution Pattern in Bridges -- 26.2.2 Temperature Effects on the Static Response of Bridges -- 26.2.3 Temperature Effects on the Dynamic Response of Bridges -- 26.2.4 Health Monitoring Technology -- 26.3 Conclusions -- References -- 27 The Future of Hybrid Electric Vehicles and Sustainable Vehicles in the UK -- 27.1 Introduction -- 27.2 Mainstream Integration of HEV's in UK -- 27.3 Government Driven Policy -- 27.3.1 HEV Taxation -- 27.3.2 Alternative Fuel Vehicle Initiatives -- 27.3.3 Green Initiatives -- 27.4 What Is the Future for the HEV? -- 27.4.1 The Effect of Brexit -- 27.4.2 Issues and Limitations -- 27.5 Conclusion -- References -- Part V Energy Governance, Policy, and Sustainability.
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|a 28 First Step Towards a System Dynamic Sustainability Assessment Model for Urban Energy Transition.
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|a Description based on publisher supplied metadata and other sources.
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| 590 |
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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| 655 |
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4 |
|a Electronic books.
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| 700 |
1 |
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|a Kourtessis, Pandelis.
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| 700 |
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|a Al-Habaibeh, Amin.
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| 700 |
1 |
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|a Asthana, Abhishek.
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| 700 |
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|a Vukovic, Vladimir.
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| 700 |
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|a Senior, John.
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| 776 |
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|i Print version:
|a Mporas, Iosif
|t Energy and Sustainable Futures
|d Cham : Springer International Publishing AG,c2021
|z 9783030639150
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| 797 |
2 |
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|a ProQuest (Firm)
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| 830 |
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|a Springer Proceedings in Energy Series
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| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=6578533
|z Click to View
|
