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6 Reasons Why Energy Transmission & Distribution Utilities Need Digital Twin Technology

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Petri Rauhakallio's picture
TPMO & Product Solutions Sharper Shape Inc.

Petri Rauhakallio – TPMO & Product Solutions Petri is a seasoned professional in technology, business and leadership. He has been involved at Sharper Sharper from the early beginning, seeing...

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  • May 26, 2021 5:27 am GMT
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This item is part of the Special Issue - 2021-05 - Grid Modernization, click here for more

Digital twins – as with any new technology, they can create as many questions as they do answers. This fact creates a natural resistance to the concept, especially among senior utility executives who are used to the old ways and need a compelling case to invest in new ones.

What is a digital twin? Is it just a fancy name for modelling? And why do many senior leaders and engineers at power transmission & distribution (T&D) companies have a gnawing feeling they should have one?

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But ultimately it comes down to one question: is this a trend worth our time and money?

The short answer to that one is: yes, if approached intelligently and accounting for utilities’ specific needs. This is no case of runaway hype or an overwrought name for an underwhelming development – digital twin technology can be genuinely transformational if done right. So – here are six reasons why in five years no T&D utility will want to be without a digital twin. 

1. Smarter Asset Planning

A digital twin is a real-time digital counterpart of a utility’s real-world grid. A proper digital twin – and not just a static 3D model of some adjacent assets – represents the grid in as much detail as possible, is updated in real-time and can be used to model ‘what if’ scenarios to gauge the effects in real life. It is the repository in which to collect and index all network data, from images, to 3D pointclouds, to past reports and analyses.

With that in mind, an obvious use-case for a digital twin is planning upgrades and expansions. For example, if a developer wants to connect a major solar generation asset, what effect might that have on the grid assets, and will they need upgrading or reinforcement? A seasoned engineer can offer an educated prediction if they are familiar with the local assets, their age and their condition – but with a digital twin they can simply model the scenario on the digital twin and find out.

The decision is more likely to be the right one, the utility is less likely to be blindsided by unforeseen complications, and less time and money need be spent visiting the site and validating information.

As the energy transition accelerates, both transmission and distribution (T&D) utilities will receive more connection requests for anything from solar parks to electric vehicle charging infrastructure, to heat pumps and batteries – and all this on top of normal grid upgrade programs. A well-constructed digital twin may come to be an essential tool to keep up with the pace of change.

2. Improved Inspection and Maintenance

Utilities spend enormous amounts of time and money on asset inspection and maintenance – they have to in order to meet their operational and safety responsibilities. In order to make the task more manageable, most utilities try to prioritize the most critical or fragile parts of the network for inspection, based on past inspection data and engineers’ experience. Many are investigating how to better collect, store and analyze data in order to hone this process, with the ultimate goal of predicting where inspections and maintenance are going to be needed before problems arise. 

The digital twin is the platform that contextualizes this information. Data is tagged to assets in the model, analytics and AI algorithms are applied and suggested interventions are automatically flagged to the human user, who can understand what and where the problem is thanks to the twin. As new data is collected over time, the process only becomes more effective.

3. More Efficient Vegetation Management

Utilities – especially transmission utilities in areas of high wildfire-risk – are in a constant struggle with nature to keep vegetation in-check that surrounds power lines and other assets. Failure risks outages, damage to assets and even a fire threat.

A comprehensive digital twin won’t just incorporate the grid assets – a network of powerlines and pylons isolated on an otherwise blank screen – but the immediate surroundings too. This means local houses, roads, waterways and trees.

If the twin is enriched with vegetation data on factors such as the species, growth rate and health of a tree, then the utility can use it to assess the risk from any given twig or branch neighbouring one of its assets, and prioritize and dispatch vegetation management crews accordingly.

A with expansion planning, inspection and maintenance, the value here is less labour-intensive and more cost-effective decision making and planning – essential in an industry of tight margins and constrained resources. What’s more, the value only rises over time as feedback allows the utility to finesse the program.

4. Automated powerline inspection

Remember though, that to be maximally useful, a digital twin must be kept up to date. A larger utility might blanche at the resources required to not just to map and inspect the network once in order to build the twin, but update that twin at regular intervals.

However, digital twins are also an enabling technology for another technological step-change – automated powerline inspection.

Imagine: a fleet of sensor-equipped drones empowered to fly the lines almost constantly, returning (automatically) only to recharge their batteries. Not only would such a set-up be far cheaper to operate than a comparable fleet of human inspectors, it could provide far more detail at far more regular intervals, facilitating all the above benefits of better planning, inspection, maintenance and vegetation management. Human inspectors could be reserved for non-routine interventions that really require their hard-earned expertise.

In this scenario, the digital twin provides the ‘map’ by which the drone can plan a route and navigate itself, in conjunction with its sensors.

5. Improved Emergency Modelling and Faster Response

If the worst happens and emergency strikes, such as a wildfire or natural disaster, digital twins can again prove invaluable. The intricate, detailed understanding of the grid, assets and its surroundings that a digital twin gives is an element of order in a chaotic situation, and can guide the utility and emergency services alike in mounting an informed response.

And – once again, the digital twin’s facility for ‘what-if’ scenario testing is especially useful for emergency preparedness. If a hurricane strikes at point X, what will be the effect on assets at point Y? If a downed pylon sparks a fire at point A, what residences are nearby and what does an evacuation plan look like?

6. Easier accommodation of external stakeholders

Finally, a digital twin can make lighter work of engaging with external stakeholders. The world doesn’t stand still, and a once blissfully-isolated powerline may suddenly find itself adjacent to a building site for a new building or road.

As well as planning for connection (see point 1), a digital twin takes the pain out of those processes that require interfacing with external stakeholders, such as maintenance contractors, arborists, trimming crews or local government agencies – the digital twin breaks down the silos between these groups and allows them to work from a single version of the truth – in future it could even be used as part of the bid process for contractors.

These six reasons for why digital twins will be indispensable to power T&D utilities are only the tip of the iceberg; the possibilities are endless given the constant advancement of data collection an analysis technology. No doubt these will invite even more questions – and we relish the challenge of answering them.

Petri Rauhakallio's picture
Thank Petri for the Post!
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Matt Chester's picture
Matt Chester on May 26, 2021

If the twin is enriched with vegetation data on factors such as the species, growth rate and health of a tree, then the utility can use it to assess the risk from any given twig or branch neighbouring one of its assets, and prioritize and dispatch vegetation management crews accordingly.

So it sounds like this is more on a predictive basis than any sensors that would detect need for immediate vegetation management, is that right? 

Petri Rauhakallio's picture
Petri Rauhakallio on Jun 10, 2021

Hi Matt, the digital twin should support the both - detecting any urgent issues, which should be fixed asap and enabling the optimisation for periodical / cyclical maintenance - to cut the right trees timely.

Danny Petrecca's picture
Danny Petrecca on Jun 1, 2021

"to be maximally useful, a digital twin must be kept up to date"

Thanks Petri, this post is exactly what utilities need to read to start to changing their thinking around Digital Twins.  Your comment about keeping the digital up to date twin is critical.  We tend to see utilities today focusing on the digital technology needed for containing a digital twin while ignoring the fact that they still have many analog/paper-driven workflows.  One such workflow is construction as-builting - where new assets are born to be added to the digital twin.  My experience shows that almost all utilities collect field construction data on paper.  This manual, lengthy, error-prone process threatens to punch holes in the best of digital twins over time.  Construction data collection and utility field crews need to be digitalized to streamline the data collection as well as provide real-time updates to the digital twin.  Emergency construction after a major event is another process that threatens any digital twin's data quality.  During this process utilities and countless foreign crews prioritize safe and rapid restoration, not data collection.  Digitalizing this process will ensure the data integrity and timeliness of utilities' digital twins.

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