Municipal utilities worldwide are transforming decades-old infrastructure with digital twins. Pioneers show: 15% energy savings and climate neutrality by 2035 are achievable – a full decade ahead of national targets.
A digital twin is a dynamic, virtual replica of a physical energy system that can simulate, predict, and optimize real-world operations. For municipal utilities operating multiple networks – electricity, district heating, water, and sometimes gas – digital twins provide complete transparency over decades-old structures for the first time.
The transformation is overdue: Many utilities operate networks that evolved incrementally over a century – without current visibility into their condition. Digital twins make the invisible visible and enable precise optimization for climate goals.
District heating networks serve a significant portion of households in many regions. While district heating is considered efficient, substantial heat losses often occur during distribution – this is where digital twins make their impact.
Leading utilities demonstrate what's possible. Working with technology partners, they've developed digital twins of their extensive district heating networks.
The digital twin combines physical modeling with AI to simulate the entire system including temperature profiles, pressure points, and consumption patterns. Result: The share of heat above 95°C was reduced from 10% to 1% – a massive advantage for heat pumps and overall network efficiency.
Stadtwerke München deploys digital twins in their district heating network serving over 800,000 people. Through precise simulation, supply temperatures are dynamically adjusted and renewable energy integration is optimized.
Stadtwerke Leipzig uses digital twins to integrate renewable energy into the power grid. With over 2.2 million decentralized generation units nationwide, intelligent solutions are vital for grid operators.
Digital twins deliver transformative impact across various domains:
District heating networks consume significant primary energy annually. Digital twins can reduce primary energy demand by up to 15% through dynamic temperature control based on weather data and consumption patterns.
With millions of decentralized generation units, distribution network operators face enormous challenges. Platforms enable new network planning with millions of decentralized feed-in points.
Advanced utilities deploy IoT platforms that consolidate data from all sectors. Predictive maintenance can reduce downtime by 50% and costs by 10-40%.
Digital twins don't stand alone – they're part of comprehensive transformation strategies. Utilities with digital overall strategies achieve 23% higher climate investment returns than purely infrastructure-based approaches.
The transformation pressure is immense: Investment needs for power distribution networks through 2050 are estimated at around $120 billion . Digital twins help deploy these resources strategically.
Paradigm shift in the sector: With over 260,000 employees and annual revenue exceeding $122 billion, the entire sector is evolving from traditional utility provider to technology-driven enterprise.
Successful utilities typically follow a structured four-phase approach:
Install sensors, build data networks, and develop initial digital models. Foundation for all further optimization measures.
Targeted decommissioning of coal and oil plants based on precise data analysis. Digital twins help with optimal timing planning.
Integration of heat pumps, e-mobility, and flexible loads. Digital twins simulate various scenarios for optimal grid utilization.
Intelligent linking of electricity, heat, transportation, and water. Holistic optimization of all energy carriers for maximum efficiency.
By 2030, over 65% of utilities will strategically use digital twins in investment planning. Five developments are emerging:
Global Model: Municipal utilities are internationally recognized as real-world laboratories for digital transformation. With thousands of municipal utilities worldwide, experiences provide practical blueprints for the global energy transition.