Energy and Sustainable Futures : : Proceedings of 2nd ICESF 2020.

• Superior document: Springer Proceedings in Energy Series
• Author: Mporas, Iosif.
• TeilnehmendeR: Kourtessis, Pandelis.; Al-Habaibeh, Amin.; Asthana, Abhishek.; Vukovic, Vladimir.; Senior, John.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2021.; ©2021.
• Year of Publication: 2021
• Edition: 1st ed.
• Language: English
• Series: Springer Proceedings in Energy Series
• Physical Description: 1 online resource (274 pages)

Table of Contents

• 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.
• 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.
• 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.
• 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.
• 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.
• 28 First Step Towards a System Dynamic Sustainability Assessment Model for Urban Energy Transition.