Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Exeter;
- University of Birmingham;
- University of Birmingham
- University of East Anglia
- ;
- Swansea University
- The University of Edinburgh
- University of Cambridge
- University of Nottingham
- AALTO UNIVERSITY
- Abertay University
- Imperial College London;
- Loughborough University
- Manchester Metropolitan University
- Newcastle University
- Swansea University;
- The University of Edinburgh;
- The University of Manchester
- The University of Manchester;
- Ulster University
- University of Bristol
- University of East Anglia;
- University of Exeter
- University of Leeds;
- University of Newcastle
- University of Oxford;
- University of Sheffield
- University of Sussex;
- University of Warwick
- University of Warwick;
- 21 more »
- « less
-
Field
-
the Southwest. Geospatial and engineering analyses will identify optimal sites and system configurations, while collaboration with the Law School will assess legal and regulatory frameworks, planning constraints
-
storage systems (ESSs), and electric vehicles (EVs) that collectively form a local energy community (EC). ECs are supposed to facilitate direct peer-to-peer (P2P) energy trading mechanisms to optimize
-
frequency regulation, energy scheduling, and overall smart grid system optimization. Moreover, such complex interconnections between power system dynamics, communication networks, and information
-
harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
-
sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
-
or crinkled. The PhD student will investigate different biomimetic materials and explore how to build membranes with complicated morphologies that will deliver optimal performance in devices. The project will
-
position aims to conduct holistic modelling and analysis of integrated energy systems to reach optimal system performance while incorporating various sustainable energy infrastructures. Potential research
-
processing techniques that take full advantage of these capabilities, in order to translate them into optimal radar performance. The purpose of the PhD is to lay down theoretical and practical foundations
-
chemistry of polyol binders (HTPB) and isocyanates for optimization of formulation (pot life) and product mechanical properties for application in solid rocket propellants. Due to the confidential and
-
-efficiency trade-offs, using automated configuration to find Pareto-optimal designs under real deployment constraints. 2) Build the distributed learning loop. Develop the learning and update mechanisms