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

Bibliographic Details
Main Author: Mporas, Iosif.
Other Authors: Kourtessis, Pandelis., Al-Habaibeh, Amin., Asthana, Abhishek., Vukovic, Vladimir., Senior, John.
Format: eBook
Language:English
Published: Cham : Springer International Publishing AG, 2021.
Edition:1st ed.
Series:Springer Proceedings in Energy Series
Subjects:
Electronic books.
Online Access:Click to View
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.

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