STRESS IT - Strategic Assessment of the Technical & Economic Impacts on Investment Decision of the Electric Grid Transmission System

Strategic Assessment of the Technical & Economic Impacts on Investment Decision of the Electric Grid Transmission System (STRESS-IT)

  • Funder: SP Energy Networks (SPEN), Energy Technology Partnership (ETP)
  • Description & Objective: This research project aims to (a) provide SPEN with insight into the impact of the asset management decision process, defined by the Ofgem monetised risk model and (b) inform future investment strategies which may be introduced as a requirement for the next round of price control. The proposed research project includes the establishment of a robust and reliable asset performance model that can be used to estimate and inform the strategic investment decisions for the grid transmission systems.
  • Lead/Team: Prof M Emad Farrag (PI), Prof Jim Baird (Co-I)
  • Funding to GCU: £84.3K
  • Duration: 3/2/20 to 2/8/23
  • SDG: 7 : Affordable & Clean Energy, 8 : Decent Work & Economic Growth
“ROBMAN” Robust Robotic Manipulation of Physical Structures Under Water

“ROBMAN” Robust Robotic Manipulation of Physical Structures Under Water

  • Funder: EPSRC ORCA-hub
  • Description & Objective: The ROBMAN project will develop observer-based robust control algorithms for underwater vehicle-manipulator systems to stably interact with physical structures, such as underwater pipes, valves, energy and telecommunication cables and other assets. The project will be conducted in close collaboration with industry, with an industrial use-case in focus. It also brings together the expertise of robotic manipulation and path planning for surface inspection at Heriot-Watt University, the expertise of Glasgow Caledonian University (GCU) on developing robust and optimal control techniques for sea vehicles, and the industrial use case of i-Tech7, a brand name of the company Subsea7, on underwater applications.
  • Team: Dr. Mustafa Suphi Erden, Heriot-Watt University (Co-investigator), Dr. Ibrahim Kucukdemiral, Glasgow Caledonian University, (Co-investigator), Dr. Xiaoran Han, Research Associate (HWU), SubSea-7 (I-Tech 7) (Industrial Partner)
  • Budget: £300,000.00
  • Duration: 18 moths
  • Effective: March 2020-Aug 2021

For further information on this project please click here

Training Hub for Renewable TechnologiEs in Sri Lanka (THREE-Lanka)

Training Hub for Renewable TechnologiEs in Sri Lanka (THREE-Lanka)

  • Funder: European Commission – Erasmus +
  • Description & Objective: The GCU project team will work with other Universities from Italy and Romania to deliver a € 980,606.00 capacity building project in higher education with 7-partners from Sri Lanka led by the University of Ruhuna. The project is focusing on establishing training hubs for renewable energy technologies in Sri Lanka in order to help the country to bridge the gap and shortages in renewable energy related skills especially after the government commitment to produce 80% of its energy demand from clean sources.
  • Lead/Team: Prof M Emad Farrag (Lead), Dr Ahmed Aboushady, Dr Muditha Kulatunga and Dr Azmy Gowaid
  • Funding to GCU: circa : £124,000
  • Duration: 3 Years – 1/1/21 TO 31/12/23
  • SDG - GOAL 11: Sustainable Cities and Communities

For further information on this project, please click here

High precision fault localisation in buried power cables based on wireless charging

High precision fault localisation in buried power cables based on wireless charging

  • Funder: Energy Technology Partnership (ETP) + Scottish Power Energy Networks (SPEN)
  • Description & Objective: Current techniques for fault-finding in buried power cables depend on “estimating” fault location rather than more precise pinpointing. This is a significant challenge and a major cost item for network operators. The consequences of such imprecision are: (1) high man-hour costs due to wide area excavations, (2) prolonged downtimes affecting revenue and supply security to customers, (3) extended traffic disruption due to roadworks. SPEN has identified this as a technical challenge. This project is studying the feasibility of a technology solution based on a wireless charging scanning device to achieve more precise fault localisation that would save time and cost, improve supply security to customers and mitigate the negative societal impact. The project team aims to deliver a design concept for the new technology solution that would be ready for a subsequent phase of scale up and field trial. Funding is provided for two separate projects through ETP and SPEN’s Network Innovation Allowance (supported by Ofgem) for a PhD studentship and a 1-year RA.
  • Team: Dr. Ahmed Aboushady, Prof. Mohamed E. Farrag
  • Budget: £83k + £69k
  • Period: Feb 2019- July 2022

 

Safehinge: SMART Modular Bedroom (KTP)

Safehinge : SMART Modular Bedroom (KTP)

  • Funder: Innovate UK Project in collaboration with Safehinge Primera
  • Description & Objective: Improving care and recovery within Mental Health facilities through design thinking and smart technology to unobtrusively monitor risks, empower Clinicians with trend data and safeguard Service User Dignity. The KTP will provide the resource and expertise to accelerate this vision and place Safehinge as the market leaders in recovery-led Mental Health design.
  • Lead/Team: Professor Mike Mannion ( PI), Peter Barrie (Co-I)
  • Funding to GCU: Innovate UK £159,225 – Safehinge Primera £78,424
  • Duration: 30 Months

 

Edge Computing based Machine Learning for Remote Asset Prognostics

Edge Computing based Machine Learning for Remote Asset Prognostics

  • Funder: Innovate UK project in collaboration with Aggreko Ltd
  • Description & Objective: This project will develop solutions for remote asset prognostics in difficult environments by developing machine learning algorithms for prognostics applications designed to operate on low power edge computing based devices.
  • Lead/Team: Professor Gordon Morison (PI) Peter Barrie (Co-I)
  • Research Centre: SMART Technology
  • Funding to GCU: £218k
  • Duration: 30 Months

 

Optimisation of Smart Precision Electrochemical Machining

Optimisation of Smart Precision Electrochemical Machining

  • Funder: Innovate UK Project in Collaboration with Precision Tooling Services Ltd.
  • Description & Objective:
  • Lead/Team: Professor Anjali Desilva (PI), Dr Ares Gomez (Co-I)
  • Funding to GCU: £211k
  • Duration: 30 Months

 

SCOOTER - Collaborative Research towards Additively-Manufactured Electric Scooter for Addressing Sustainability Challenges in India & UK

SCOOTER - Capacity Building in Collaborative Research towards Additively-Manufactured Electric Scooter for Addressing Sustainability Challenges in India & UK

  • Funder: Royal Academy of Engineering
  • Description & Objective:Design and development of an electric scooter prototype with a compact 3D printed electric motor and suitably modified chassis structure through additive manufacturing techniques specific to the Indian market. The project includes the integration of novel intelligent controller and fast charging system to suit the smart city requirements in India.
  • Lead/Team: Prof M Emad Farrag
  • Funding to GCU: £25K
  • Duration: 24 months
A Digital Twin for Future Distribution Networks with Smart Meter Data Driven Monitoring and Control

A Digital Twin for Future Distribution Networks with Smart Meter Data Driven Monitoring and Control

  • Funder: Energy Technology Partnership (ETP), SP Energy Networks, Scottish Power Ltd
  • Description & Objective: Distribution networks are evolving towards integration of more renewable energy sources, energy storage systems, EV charging stations, Hydrogen production/usage and smart home technologies such as IoT devices, wireless power hubs and peer-to-peer energy trade. This introduces a range of new technical behaviours and challenges to the distribution network assets which will impact project life cycle phases from planning to commissioning to monitoring and control. Future distribution networks will also be pre-dominantly data-driven and will therefore utilize clouds and artificial intelligence widely in day-to-day operation.  
  • Lead/Team: Dr Ahmed Aboushady (PI), Prof M Emad Farrag
  • Funding to GCU: £58.8K
  • Duration: 01/11/2021 - 30/04/2025
  • SDG: 7 : Affordable & Clean Energy, 8 : Decent Work & Economic Growth
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