This is an open access book. This book contains research papers presented at the 3rd International Conference on Energy and Sustainable Futures (ICESF), which took place at Coventry University, UK, in 2022. The ICESF is an annual conference organised by the UK-based Doctorial Training Alliance (DTA) programme. It is a multidisciplinary conference focused on addressing the future challenges and opportunities for meeting global energy targets and sustainable development goals. The conference brought together academic researchers, industry experts and research students to showcase the latest…mehr
This is an open access book. This book contains research papers presented at the 3rd International Conference on Energy and Sustainable Futures (ICESF), which took place at Coventry University, UK, in 2022. The ICESF is an annual conference organised by the UK-based Doctorial Training Alliance (DTA) programme. It is a multidisciplinary conference focused on addressing the future challenges and opportunities for meeting global energy targets and sustainable development goals. The conference brought together academic researchers, industry experts and research students to showcase the latest innovations and research on a wide range of topics in the areas of energy and sustainability, including
- renewable energy;
- ICT and control;
- computational fluid dynamics;
- optimization;
- conventional energy sources;
- energy governance; - materials in energy research;
Dr Jonathan Nixon is an Associate Director at Coventry University's Research Centre for Computational Science and Mathematical Modelling. Dr Nixon has carried out a wide range of research projects on solar, wind and bio energy technologies, with a particular focus on improving their performance and reliability for disadvantaged communities. His research has involved deploying smart solar energy interventions in refugee camps in Africa, designing hybrid solar-biomass systems in rural India and improving the performance of wind turbine in cold climates. He is currently leading the Innovate UK Energy Catalyst project Solar Energy Transitions (SET): Inclusive e-cooking in sub-Saharan Africa. He was the Conference Chair for the 3rd International Conference on Energy and Sustainable Futures held at Coventry University in 2022. Professor Amin Al-Habaibeh is Professor of Intelligent Engineering Systems within the Product Design team at Nottingham Trent University.Amin's research helps reshaping futures by creating a positive impact on individuals and society. He is the Director of the national DTA-Energy (Doctoral Training Alliance) and also the Director of Product Innovation Centre. His research and teaching activities focus on several multi-disciplinary topics in the broad area of product design and innovation, automation, energy, condition monitoring and artificial intelligence. Amin is currently leading the Innovative and Sustainable Built Environment Technologies research group (iSBET) and co-founder of the Advance Design and Manufacturing Engineering Centre (ADMEC). Amin has over 180 international publications and patents, and his research work has been highlighted by major TV channels and newspapers such as the CNN, the BBC, The Daily Telegraph, The Guardian, The Sun and The Daily Mail. Dr Vladimir Vukovic works as a Senior Research Lecturer in BIM & Energy Reduction in Built Environment at TeessideUniversity. Dr Vukovic's research interests include sustainable (energy efficient, socially acceptable, environmentally friendly) building design and operation - whole life cycle approach - and in particular: building information modelling (BIM) and digital construction twins, cyber physical system simulation and optimization, predictive controls, indoor environmental quality, energy efficiency implications on occupants' wellbeing and productivity, energy aware social networking enabled through smart metering, energy blockchain, augmented reality applications in the built environment. Dr Vukovic currently serves as a Deputy Director of Doctoral Training Alliance (DTA) in Energy. Dr Abhishek Asthana (CEng FEI FIET FHEA PhD MEng MRes BEng), is the Director of Hallam Energy and Reader in Energy Engineering at Sheffield Hallam University and the Deputy Director of the Doctoral Training Alliance in Energy (DTA Energy). Abhishek is a Reviewer for the International Energy Agency's (IEA) Renewable Energy Division in Paris, a Research Committee Member for the UK Energy Research Centre (UKERK) and a member of the Parliamentary Group for Energy Studies (PGES). He has lead 65 industrial energy efficiency and decarbonisation projects in the last 14 years. He has co-authored more than 60 papers, 5 books, numerous book chapters, invented 4 patents and 8 commercial software packages in energy engineering.
Inhaltsangabe
Investigating Energy Cost Impact on Private Residential Buildings in the West Midlands Region of the UK.- Towards an Effective Artificial Intelligence Systems for Condition Monitoring of Off-Shore Wind Turbines: The Application of Sensor Fusion.- CFD Based Aerodynamics conjugate Heat Transfer and Airgap Fluid Flow Thermal Analysis to a Wheel Hub Motor for Electric Scooters.- Learning from the past fora sustainable future: Environmental monitoring and 3D modeling to assess the thermal performance of heritage buildings.- Oil and gas supply chain: Analysing stakeholder sustainability risk perception.- using machine learning to predict synthetic fuel spray penetration from limited experimental data without computational flluid dynamics.
Investigating Energy Cost Impact on Private Residential Buildings in the West Midlands Region of the UK.- Towards an Effective Artificial Intelligence Systems for Condition Monitoring of Off-Shore Wind Turbines: The Application of Sensor Fusion.- CFD Based Aerodynamics conjugate Heat Transfer and Airgap Fluid Flow Thermal Analysis to a Wheel Hub Motor for Electric Scooters.- Learning from the past fora sustainable future: Environmental monitoring and 3D modeling to assess the thermal performance of heritage buildings.- Oil and gas supply chain: Analysing stakeholder sustainability risk perception.- using machine learning to predict synthetic fuel spray penetration from limited experimental data without computational flluid dynamics.
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