[Katie Walsh]

Many thanks @Alan Gould @Ziad @Elena @J @Ron, great builds here, thanks for returning to DT Hub to suggest them. Elena offer noted and will appear in our final report on the DT Roadblocks Jam series. 

[Katie Walsh]

On 29/11/2021 at 16:22, Alan Gould said:

Hi Katie

Apologies for not interacting earlier, been finishing up at Openreach and now in between Jobs before starting as GIS Manager for a new company. Hopefully I can commit more time over the coming weeks.

Please see attached for my initial thoughts.

looking forward to tomorrows call.

thanks for all this pre-thinking Alan!  You will be fast out of the idea blocks tomorrow, and I’ll add your idea for the challenge on this post to the board along with all the others

[Katie Walsh]

On 26/11/2021 at 17:18, Dave Horner said:

Demonstrating tangible digital twin benefits – applications or user cases –  rather than just technology and data

Hi Dave, where do you stand on AndrewS’s point above? – “Show them it working. And yes, that means sorting out the data for them, and building a technical solution for them, before you get any investment from them.”

[Katie Walsh]

On 23/11/2021 at 14:55, Elena said:

Define a career framework for the new skills in order to address the Expert and Skills priorities in the Readiness category

This is a really interesting one Elena – in our break out group we touched on hoe the ‘skills’ we were talking about were not in particular digital skills, but the business or management skills (soft skills) to enable persuasion and convincing to be part of the skill set of those in the business of making Digital Twins. I hope I have represented this correctly – please let me know of not. 

[Katie Walsh]

On 23/11/2021 at 17:48, Simon Taylor said:

Hi Katie I didn’t attend JAM 1 or 2 so may be missing some context but surely there is a massive overlay between items 1 & 5 – ‘client understanding’ a Need & want and ‘purpose’ as a need and want. I know for our company to sell our twins we have to have the clear purpose and then be able to explain the understanding the client of the value in that purpose with a staged approach of how to get there. 

Hi Simon, Yes thank you, great point yes the overlaps have been noted and I suspect that in the last analysis, in our final report, we will pick these overlaps out for more explanation, and in some cases maybe amalgamation. Purpose and Client understanding are intimately connected but not quite the same thing – they also are a twin star themselves, revolving around each other – the purpose may be clearly defined but the client may not understand why it’s needed. This is what’s emerged from the jams – so we keep what’s emerged so as not to lose information, we will learn more in Jam 3 – you are attending I hear, so if you’d like to be in the ‘need and want’ group for break out please let me know. 

[Katie Walsh]

On 02/11/2021 at 15:51, Stephen Browning said:

Further to my post above and copied from another thread…….  As regards my work with the Electricity System Operator.

I was preparing the data for the Generation Scheduler Digital Twin in 1976 Day ahead planning)  then running the coupled Generation Scheduling to Fuel Allocation Digital Twins from 1978 (including getting the suite to run smoothly).  Then ensuring the Coupling from the Generation Scheduling to the Transmission modelling  (Security and Stability) models was in place when we implemented the enhanced Scheduler Twin for Control use in 1985.  Plus the coupling to the EMS Dispatch Twin process which itself was coupled to the real world metering and the real time transmission twins. 

CReDo is a linked system but we also need coupling.   Noting that we also had a linked Generation-Fuel optimiser in 1978 but due to computing limits we had to compromise the generation model from Time series to load duration.  Which further distorts the accuracy of representing the real world Time Sequence of Generation Instruction and operation. 

And I see we have CReDo for Climate resilience and the UKRI Centre for Research into Energy Demand Solutions (CREDS) initiative which has UCL running their Energy Digital Twin (ESTIMO).  Although the latter is only Time series simulation and needs to be interfaced with the Infrastructure Twins, including Electricity and other Energy movement Network Design with Security and Stability models.   Plus the Resources analysis, including better use of Waste (also an Infrastructure issue especially for City design). 

All with Iterative coupling between DT models noting that the IEA Smart Grids Project (ISGAN) has identified the need for coupled simulations.  In order to get the necessary affordable high efficiency high flexibility solution to achieve serious Emissions reduction and avoid Primary Energy Scarcity impacts. 

Thank you @Stephen Browning

[Katie Walsh]

@Digital would be interesting to have your views on @Deeyesbee‘s question above here. No @s so I think you might not have seen it. 

[Katie Walsh]

Many thanks @iain, we will add these in. And you are on the invite list for Jam 2. 

[Katie Walsh]

@Dave Many thanks for the extra blockers – we will include these on the board. When looking at the ‘map’ – the ‘jam board’, it’s on software called Mural –  to see the individual bits clearly just zoom in however you would normally do this (pinch the mouse pad, or right click or whatever). Or utilise the Outline function, then each bit of the board automatically zooms up when you hit each line of the outline. Annotated screen grab attached about outline function, if you have a mo, but you have certainly done your bit.

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[Katie Walsh]

On 21/09/2021 at 14:48, Kirsten Lamb said:

@Kirsten Many thanks for all the below. We are encouraging one thought on each post – but your list is fantastically clear and will help us a lot to kick start the first Jam, so thank you for posting. 

 

 

Here are some challenges that our researchers have brought up in developing digital twins, paraphrased by me, so if they are in error the fault is mine and I welcome corrections:

• The value of digital twins in providing the right information at the right time, so a key challenge is determining the frequency and timeliness of data collection to provide useful, valuable insights to asset owners.
• With satellites, InSAR and other earth observation technologies, a challenge is in processing the high volume of data needed to quality-check the measurements taken in a timely manner.
• In creating a digital twin of a building, existing asset management processes have been established to take advantage of the knowledge of human asset managers and the data provided by building management systems. A key challenge is to develop digital twins that are capable of complementing these existing sources of knowledge and data by adding new value.
• Computer vision can help identify events and behaviours in the built environment without capturing footage of people, making it more acceptable from a privacy perspective. One important challenge to address is giving machine learning algorithms a fully representative training dataset so that biases are not introduced into the resulting data.
• Each sensor in a building or asset may only be able to detect one factor or phenomenon in isolation, but if multiple sensors become networked together in ‘smart’ ways, they may be able to detect ‘complex events’, events characterised by multiple phenomena happening in a specific order, time frame or physical orientation. Understanding how to combine sensors and human understanding into truly ‘smart’ buildings that can detect complex events and respond appropriately is a challenge.
• One promise of connected digital twins is seamless services provided to the public through digital technologies in the built environment. When designing a comprehensive service ecosystem enabled by connected digital twins, it is difficult to break down existing siloes: from a technical data sharing and interoperability standpoint; from a regulatory and geographical standpoint; and from the standpoint of existing processes and business models.
• When designing services based on connected digital twins, it is important to acknowledge the inequalities in access to digital technology based on socio-economic, geographic, age, education, ability and other factors. Exclusion from services or inequality of service provision based on these factors is a major issue to consider in the governance and development of connected digital twins for the public good.