Reimagine the way you operate.

The energy transition is challenging our grids and grid operators. Kognitwin Grid is our new Industrial Work Surface for power grids, where data, technology and people come together to solve problems. Enabling operators to maximise the value of the grid of today – and of tomorrow.

Increase true collaboration by connecting data, people, and workflows

Get a holistic overview of your grid and its components.

The Industrial Work Surface facilitates a cloud-based environment where your data can be turned into actionable insights spanning across grid departments, user personas and voltage levels.

Solve problems, close out work and inform decisions

Like many other energy companies, use the Industrial Work Surface to enable better decision making, close out work and drive more value.

Break down silos and democratise data

With universal access to centralised data, engineers and operators are better positioned to maximise uptime, model and test grid scenarios, and expedite grid improvements.

This is Kognitwin® Grid

Your digital twin

Kognitwin Grid is a digital twin of the power grid, enabling grid operators to maximize the value of the grid of today – and of tomorrow.

Access data fast

Kognitwin Grid utilizes existing documentation across source systems to create a model of the grid. Replace siloed and fragmented data located in multiple systems with accessible contextualized data. Save time hunting for information and have intelligent, actionable data at your fingertips.

Kognitwin Grid has an always-on simulator engine that performs a full power flow analysis across all voltage levels, including forecasts of future near-time or long-term load flow in the power grid to increase insights and support decision-making from planning to operations. 

Scalable solution

Kognitwin Grid consists of modules that support the way you explore, monitor, optimize, study and maintain your power grid. The SaaS solution is flexible and scalable and can support grid operators that are both beginning, changing, or continuing their digital transformation.

Simulation

The simulation engine can help you forecast load and production down to metre level and perform a load flow analysis of the entire grid. The main output from the load flow is bottleneck detection and voltage quality.

Full visibility

In addition, the solution can include live and planned switch status to reflect the grid topology and identify disconnected areas correctly. This provides an always-on status of the power grid with possibilities to look into the past, present, and future.

All in One

The simulation engine collects, adapts, and contextualises data from different sources and systems to make them available for new applications and use cases.

How Kognitwin® grid supports your business objectives

Improve Grid Utilisation

Identify and forecast bottlenecks and voltage deviation in your grid based on load and production forecasting. Gain insight into overload risk and grid condition. Create scenarios to understand how to better utilize existing grid infrastructure.

Optimise investments

Plan and develop a future-proof grid by running long-term grid scenarios to assess impact of electrification and new intermittent energy.

Improve reliability

Be aware of upcoming operational situations and create scenarios including topology changes and/or the use of flexible assets to alleviate and reduce the risk of overload-based outages.

Take a closer look at the Industrial Work Surface

Learn more about Kognitwin's powerful capabilities in the Industrial Work Surface.

Learn more

Gather more insights by exploring more helpful resources

See how Kongsberg Digital’s deep domain expertise helps industrial organisations achieve more.

A Global Outlook panel at Kongsberg Digital’s Tomorrow Show – Houston, featuring experts like Hema Prapoo from Microsoft, Richard Spears from Spears and Associates, Judson Jacobs from S&P Global, and Pedro Alcântara Nunes Neto from Kongsberg Digital, delved into the transformative role of AI across industries, particularly in energy.

Key Highlights from the Discussion

AI: A Human-Centric Approach

Hema Prapoo emphasised that AI, including tools like Microsoft’s copilot and ChatGPT, is not designed to replace humans but to enhance their capabilities. The focus is on empowering the workforce to concentrate on essential tasks rather than mundane ones, maintaining a human touch at the core of AI applications.

The Importance of Regulation

Pedro Alcântara Nunes Neto discussed the critical role of government regulations in shaping the AI landscape. The EU AI Act was highlighted as a leading framework that ensures data privacy and ethical practices in AI development. He argued that regulation should not stifle innovation but instead provide a necessary structure for tech companies to operate responsibly.

Geopolitical Dimensions of AI in Energy

Judson Jacobs raised concerns about the hype surrounding AI versus its actual impact. He shared insights on the energy sector’s adoption of AI over the past decade, which has improved operational efficiencies significantly. However, he noted the challenge lies in scaling these improvements across the industry rather than in isolated projects.

Financial Implications for the Energy Sector

Richard Spears provided a stark statistic: the upstream oil and gas sector, spending $325 billion on operations, suffers from inefficiencies that could yield up to $32 billion in annual savings through AI. He stressed the importance of improving capital deployment by leveraging AI to gain accurate forecasts about future activities, ultimately increasing investment efficiency.

The Role of AI in Leveling Global Playing Fields

The conversation touched on Africa’s growing role in the global energy landscape, with predictions that by 2050, 25% of the world's population will live there. Hema and Richard discussed innovative approaches, such as using Africa's vast hydrocarbon resources to build local data centers, minimising reliance on expensive infrastructure like pipelines.

Addressing Global Threats with AI

In response to Shane McArdle’s question about AI’s implications for national security and regulatory frameworks, Pedro pointed out that the evolving nature of warfare and cybersecurity necessitates careful management of data retention and privacy across borders, further complicating AI deployment.

Collaborative Connectivity

A recurring theme was the necessity for collaborative digital platforms to facilitate information sharing in the energy sector. Hema pointed out that while proprietary workflows should remain intact, a common digital ecosystem is vital for improving operations and encouraging partnerships among stakeholders.

Opportunities for Small Enterprises

Spears highlighted that AI technology allows smaller companies to compete on a level playing field with industry giants, enhancing innovation and investment opportunities, which could lead to a more competitive and diverse marketplace.

Conclusion: Navigating the Future with AI

The panel concluded with a mix of optimism and caution. While the potential for AI to revolutionise the energy sector and enhance efficiency is immense, panelists acknowledged the challenges of overcoming regulatory hurdles, ensuring cybersecurity, and fostering collaboration among diverse stakeholders. Embracing a human-centric approach and maintaining innovative thinking will be crucial as industries move toward adopting AI at scale.

Empowering the Future: The Role of AI in Transforming the Energy SectorEmpowering the Future: The Role of AI in Transforming the Energy Sector

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2-5 October 2023

ADIPEC →

Abu Dhabi

23-25 October 2023

Tomorrow Show 2023 →

Houston, Texas

26 September 2023

Future Digital Twin USA →

Virtual

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