The EPSRC Centre for Doctoral Training (CDT) in Renewable Energy Northeast Universities (ReNU)is a collaborative doctoral training programme run by the Universities of Northumbria, Newcastle and Durham. In addition to undertaking an individual scientific research project at one of the three partner Universities, doctoral candidates will engage with added value training opportunities, for example in business, innovation and internationalisation through a 4-year training programme that has been designed to maximise the benefits of a cohort approach to doctoral training. The start date is 1st October 2021.
Environmental concerns about greenhouse gas emission from transportation sector along with advancements in battery technologies has led to massive private and public investment into electrification of the sector (buses, vehicles, scooters, bikes). In this paradigm shift, managing e-mobility ecosystem and overcoming range anxiety are known as the key factors to unlock widespread adoption of the technologies. In this project, we intend to develop a stochastic optimal strategy for charging infrastructure design within distribution networks in urban areas to support future e-mobility ecosystem in both vehicle-to-grid and grid-to-vehicle operation. Several sources of uncertainties, including local traffic pattern, drivers’ behaviour and renewable energy resources, will be considered in the proposed planning tool through stochastic modelling. A physical model of the transportation system (including roads, popular stopping points, parking lots, on-street parking) will be mapped over local low- and medium-voltage power network to account for network capacity availability and constraints. The outcome of the tool will be the optimal location of the future e-parking lots and on-street charging points, the size and types of the chargers at each location as well as the future network expansion to fulfil the e-mobility ecosystem requirements.
This project is supervised by Dr Mousa Marzband. For informal queries, please contact [Email Address Removed]. For more information about ReNU visit: https://renu.northumbria.ac.uk/ .
The application closing date is 21 July 2021. Please note that interviews, should they be arranged, will be online rather than in person due to COVID-19.
Eligibility and How to Apply
Please note eligibility requirement:
• Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.
• Appropriate IELTS score, if required.
• Applicants cannot apply for this funding if currently engaged in Doctoral study at Northumbria or elsewhere.
For further details of how to apply, entry requirements and the application form, see
https://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/
Please note that applications must include all of the following to be considered:
- A research proposal of approximately 1,000 words (not a copy of the advert), and include the advert reference (e.g. ReNU21-R/…).
- You must upload with your application at least 2 reference letters
- You must read our privacy notice about how we use your data and acknowledge this by including in your personal statement the following phrase : ‘ I confirm I have read and agreed to the privacy policy in https://renu.northumbria.ac.uk/wp-content/uploads/2021/03/2021-ReNUPrivacyNotice_01_03_21.pdf‘.
Deadline for applications: 21 July 2021
Start Date: 1 October 2021
Northumbria University takes pride in, and values, the quality and diversity of our staff. We welcome applications from all members of the community.
* please note: to be classed as a Home student, candidates must meet the following criteria:
• Be a UK National (meeting residency requirements), or
• have settled status, or
• have pre-settled status (meeting residency requirements), or
• have indefinite leave to remain or enter.
If a candidate does not meet the criteria above, they would be classed as an International student.
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