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Optimal Reality Digital Twin

Climate change is a wicked problem

Solving climate change requires us to fundamentally change many systems that drive our economy and impact our lives. We need adaptive strategies to account for the disruptive effects of rapid changes in government policy, consumer behaviour and technologies such as renewable energy and autonomous vehicles.

We need to be able to design and build systems that incorporate impacts on the environment – and optimise systems already in place – and we need to deal with enormous competing interests, disinformation, entrenched investments and human bias. We have a small window to get smart about smart cities. At a global scale. 

It’s a wicked problem. The good news is Deloitte’s Optimal Reality digital twin is all about solving wicked problems.

Digital twins are important technology for solving climate change

Digital twins link the physical and digital worlds, enabling us to:

  • Look through a holistic lens of creating smarter cities to see how sectors like transport and energy must work together to reduce emissions
  • Solve problems across complex, interconnected environments – allowing us to look at millions of possible scenarios and choose the right one
  • Create feedback loops for decisioning that enable continuous improvement of complex systems.

Digital Twins originate from sectors such as aviation, transport and manufacturing that are a priority for climate change. The technologies have become mainstream and are now accessible to organisations that want to simulate their physical environment as a way to solve complex decarbonisation problems.

Introducing Optimal Reality

Optimal Reality (OR) is Deloitte’s digital twin capability based on simulation techniques pioneered in Formula One racing. We help organisations run millions of permutations on a digital replica of their network to drive optimal decision making within seconds to conduct trial and error – without the error. This enables us to solve problems related to preventing and adapting to climate change. Elements of our approach include:

  • A world-class digital twin platform – We bring together a number of key technologies and a unique platform-based approach that provides us with a capability that is unmatched by other digital twins in the market.
  • Industry apps that solve specific business problems – Optimal Reality combines digital twin technology with problem specific applications. This means that we leverage the power of the platform and can solve unique problems, specific to each individual clients’ wicked problems.
  • A delivery capability powered by F1 thinking and mission control operations – Formula One has been one of the pioneering industries in digital twins over the past few decades. We’ve applied the lessons from how F1 has used real-time and historic race data, domain expertise and live weather data to improve race performance to the challenges we solve with OR.

Our vision for the approach is a connected reality, but creating smart city around connected industries, giving you a mission-control capability for solving strategic climate issues and making operational improvements. Our primary focus is on the transport and energy sectors – the largest source of emissions, as well as environmental issues such as air quality and noise. 

  • We bring specific assets focused on tracking and reducing emissions as well as a platform architecture that can allows for easy extension to solve for new problems. Find out more in the Optimal Reality showcase.

Key use cases

  • Reduce airborne delay and improve flight routing to reduce fuel burn
  • Optimise public transport networks so citizens can use lower emission forms of transport more effectively
  • Reduce congestion in our cities, including optimisation for factors related to emissions, air quality and reducing noise
  • Network and route optimisation for light vehicles and freight, including for rapidly increasing areas such as last mile delivery for ecommerce which has significant environmental impacts or for dynamic pricing to optimise against sustainability targets
  • Implement dynamic pricing for transport to optimise against sustainability targets.
  • Enable leading levels of renewables penetration on utility grids through hyperlocal, highly distributed and fast-response prediction, pricing and dispatch
  • Better planning and optimisation of energy networks for increased demand through electrification of transport and other sectors
  • Enable electric vehicles to form part of the energy infrastructure, providing a geographically transactional virtual power plant
  • Help asset-rich, energy-intensive industry (e.g. data centers, telco operators) extract maximum latent value from their asset base through intelligent, asset-aware demand response.
Adaptive cities
  • Make holistic changes to our highly interdependent energy and transport systems that now must be much more adaptive and dynamic as the result of climate change
  • Determine how governments should plan and respond to events that can occur as the result of weather or other environmental issues
  • Determine how we should distribute resources as part of an operational emergency response due to climate issues such as bushfires
  • Measure environmental impacts such as air quality and noise pollution and use it to introduce changes to vehicle regulations, prepare for emerging.

Software Group

Scaling our expertise through technology, to solve complex problems, faster.

At Deloitte's Software Group, we drive strategic growth and transformation through the innovative application of technology. Our software product suite offers solutions to critical, cross-industry, large-scale global issues driven by disruption and transformation.