Data-Driven Cyber-Physical System Control for Realising Efficient Smart Street Lighting (DRESS)

Project Description

Applications are invited for a fully funded (full-time) PhD studentship developing efficient and smart streetlight control methods. The project is part funded by European Regional Development Funding and is in collaboration with Otaski Energy Solutions Ltd.

Project Details: The smart grid has the potential to improve safety, reliability and efficiency of the power grid, where information technology plays a crucial role in attaining key objectives of smart grids. High speed and bidirectional communication infrastructure, advanced data processing, distributed computing technologies are indispensable for power system state estimation, control, optimization and restoration.

Smart Street Lighting, which is an important part of both smart grid and smart city in recent time, has become increasingly essential in terms of improving energy efficiency and reducing carbon footprint. Two key areas in actualising smart street lighting are electrical connection of streetlights and data communication between streetlights. The challenges encountered are:

1) Appropriate Architecture of the Communication Network

2) Efficient Information Transmission Technology

3) Accurate Cyber Physical System model for energy data transmission

DRESS project aims to address these three challenging issues by building a strong and sustainable academic-industrial collaboration between Durham University and Otaski Energy Solutions Ltd. The following three key scientific objectives will be achieved in this project:

a) Develop whole system cyber-physical models integrating cyber systems components (such as communication nodes and networks) into physical system control loop, in order to improve efficient control of smart street lighting system;

b) Develop data-driven, robust and lightweight congestion control protocols for their implementation in any wired or wireless communication networks;

c) Test and validate the developed methodologies in laboratory environment for future roll-out of mature products/services.

The project will take the form of an industrially supported studentship with the student primarily based at Durham University whilst working for industrial placements with Otaski Energy Solutions Ltd in final year within a 3-year fully funded study programme.

Start Date: 1 October 2020

Funding Information

Funding includes £15,285 p.a. based on 2020/21 stipend.

Eligibility Requirements

Applicants should hold at least a 2:1 honours degree or equivalent in Engineering, Computer Sciences, Applied Mathematics or a related subject.

This studentship is supported through the Intensive Industrial Innovation Programme, part funded by the European Regional Development Fund. The studentship covers full Home fees and a tax-free stipend at the EPSRC rate. Applicants from outside the UK/EU are not eligible for this award unless they are able to self-fund the difference between UK/EU domestic fees and international fees (https://www.dur.ac.uk/study/pg/finance/costs/)

Application Process

To make an application, please visit the University applications page at dur.ac.uk/study/pg/apply/. When making an application, please state the project title “Data-driven cyber-physical system control for Realising Efficient Smart Street lighting (DRESS)”.

Informal enquiries can be made to either Dr Hongjian Sun ([email protected]) or Dr Philip Inegbedion ([email protected])

To apply for this PhD, please email admin@discoverphds.com.

Before sending your email, please double check you have followed all guidelines in this listing and have included a reference number if asked to do so.

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