Projects
Projects: Projects for Investigator |
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| Reference Number | ENA_10025731 | |
| Title | Digital Twins: Exploring the commercial, societal and operational benefits on green hydrogen projects | |
| Status | Completed | |
| Energy Categories | Hydrogen and Fuel Cells(Hydrogen) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 50%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 80%; Other (Energy technology information dissemination) 20%; |
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| Principal Investigator |
Project Contact No email address given SGN - Southern England |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 March 2022 | |
| End Date | 01 May 2022 | |
| Duration | 2 months | |
| Total Grant Value | £124,265 | |
| Industrial Sectors | Energy | |
| Region | South East | |
| Programme | ||
| Investigators | Principal Investigator | Project Contact , SGN - Southern England (100.000%) |
| Web Site | https://smarter.energynetworks.org/projects/ENA_10025731 |
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| Objectives | ||
| Abstract | SGN propose to collaborate with partners to build a data first approach that explores the role of digital twins as green hydrogen project SIF innovation project. The overall intent is that digital and data is part of the product and part of the design with the capture, storage and transmission of data built-in from the design stage. The work aims to meet the key challenges within Ofgems aims and objectives for the SIF challenge. SGN suggests that the project could shape how a future hydrogen industry could be organised in terms of information and data transfer between producers, gas networks, suppliers, consumers - for example, linking power, water, and gas data infrastructure in the specific H100 Fife case, and building on opportunities to expand into other developing hydrogen projects. The insights gained from the vast amounts of available information will have a profound impact on how the emerging hydrogen economy will sustain itself in the future. Such incidents are usually due to various mechanical failures, which digital twin products are ideally suited to help customers manage and mitigate. With the increasing availability of economically viable real or near real-time information via sensors and inbuilt health diagnostics encompassed in the industrial IoT, the challenges of managing and using information smartly are rapidly increasing. Overcoming these challenges comes with outstanding potential benefits for our customers, when they are able to reduce unscheduled asset downtimes, improve asset efficiency, reduce environmental impact and eliminate regulatory compliance infractions. SGN proposes to work with partners to test a number of hypotheses; In the digital twin space, DNV have produced the first methodology and recommended practice for the Qualification and Assurance of Digital Twins. On this project DNV will draw upon the rich insight from working with multiple cross-industry stakeholders on digital twin initiatives alongside deep gas industry domain knowledge.AWS is a cloud computing industry leader, with a business innovating in new areas such as Machine Learning and Internet of Things which will help the project to ascertain real time data of user interactions to answer the questions on green hydrogen in order to make data-driven decisions. NGGT will bring knowledge and learnings to SGN to best align data and digital systems -- they will also be collaborating on the Gas Network Interoperable Digital Twin SIF to share knowledge and bridge gaps around digital systems to enable a collaborative approach around future Digital Twins. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 14/10/22 | |
