- Energy & Utilities
- Case Study
Our client is a European Electric Transmission Utility that needs to deliver short-term operational efficiency as well as long-term strategic investments in the transmission network to ensure future reliability, all while operating within the constraints of a budget fixed following a rate case presented to regulators.
This electric utility is challenged to maintain operational efficiency in the short term in order to continue day-to-day operations within the existing budgetary, regulatory, and environmental constraints. At the same time, the shifting energy market, the arrival of distributed energy resources, and the need to incorporate renewables into a grid built in the middle of the last century demand a long-term vision.
With Cosmo Tech Asset a realistic Simulation Digital Twin of the electric utility’s network was deployed. This Simulation Digital Twin included all elements of the network including:
In addition, the Simulation Digital Twin modeled:
Using Cosmo Tech Asset, our client was able to develop a strategic business plan that achieved short-term operational efficiency while also ensuring the long-term viability and reliability of the network in the face of significant constraints.
When making its case for a new tariff to national regulators, the electric utility was able to justify its strategy by pointing out the impacts of its strategic choices, transparently explaining why its proposed business plan was best.
Dynamic simulations using a digital twin help organizations make better decisions, not based on guessing or data from the past, but with visibility on the impact of their decisions before they are implemented or even during the unknown.
With Cosmo Tech Asset our client was able to produce and defend an optimized strategic business plan that ensured short-term operational efficiency as well as long-term robustness and reliability. It was also able to:
Unlike traditional or competing approaches, Cosmo Tech Asset allows the client global visibility on their network and its current and future challenges.
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