Buch, Englisch, 360 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 563 g
Buch, Englisch, 360 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 563 g
Reihe: Springer Proceedings in Energy
ISBN: 978-3-031-30962-5
Verlag: Springer Nature Switzerland
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;• energy storage and
• energy access.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Strömungslehre
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Energiewirtschaft: Alternative & Erneuerbare Energien
- Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
- Geowissenschaften Umweltwissenschaften Nachhaltigkeit
Weitere Infos & Material
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.