1. Digitalization Drives the Energy Transition
The energy transition requires organizations to use existing resources more efficiently while expanding cleaner and more sustainable energy sources. Digitalization, AI, computational modeling, and digital twins help organizations integrate people, technology, and processes, reduce silos, and accelerate innovation across the energy value chain.
These technologies support sustainability-driven design by improving the efficiency and environmental performance of existing assets while enabling the scale-up of clean energy.
Key Takeaway: Digitalization and simulation help accelerate the energy transition while improving cost, performance, and sustainability.
2. Simulation Supports Energy Efficiency
Improving energy efficiency is one of the quickest ways to reduce emissions, operating costs, and resource consumption. Simulation enables engineers to evaluate designs virtually, optimize performance, and reduce dependence on costly physical experiments.
For example, Simcenter CFD helped GMH optimize burner performance for lower CO₂ and CO emissions while maintaining stable combustion. Similarly, Simcenter EDEM enabled ArcelorMittal to analyze granular material flow and optimize sinter cooler charging systems.
Key Takeaway: Simulation-driven optimization improves energy efficiency while reducing emissions and physical testing.
3. CO₂ Removal Through Advanced Simulation
CO₂ removal technologies are becoming important for hard-to-abate industries where direct emissions reduction is difficult. Carbon capture can reduce emissions while allowing existing industrial infrastructure to continue operating.
Simcenter STAR-CCM+ and Simcenter Cloud HPC can support advanced carbon capture modeling, including membrane-based CO₂ separation. Computational fluid dynamics and computational chemistry help optimize separation efficiency and accelerate the development of scalable carbon capture technologies.
Key Takeaway: Advanced simulation helps optimize carbon capture technologies and accelerate industrial decarbonization.
4. Simulation Improves Renewable Energy Reliability
As wind and solar energy expand, improving the reliability and lifespan of renewable energy assets becomes increasingly important. Simulation combined with operating data can help engineers monitor equipment performance and improve maintenance strategies.
Simcenter enables digital twins to predict and detect wind turbine gearbox faults, estimate the remaining useful life of bearings and gear teeth, and validate models against real operating conditions. Simcenter STAR-CCM+ and Simcenter Nastran also support the design and optimization of reliable floating offshore wind turbines.
Key Takeaway: Digital twins and simulation improve renewable energy reliability, maintenance planning, and design optimization.
5. Electrification Requires Integrated Energy Systems
Electrification can reduce emissions across transportation, buildings, and industry by replacing fossil-fuel-based systems with electric alternatives. However, effective electrification requires batteries, renewable energy, power electronics, and intelligent controls to operate together reliably.
Simcenter Amesim can model battery thermal behavior, photovoltaics, and power electronics in integrated energy systems. This allows engineers to predict performance and safety while supporting scalable product development and reducing the risk of costly failures.
Key Takeaway: System simulation helps integrate batteries, renewable energy, and power electronics into reliable electrified systems.
6. Simulation Connects Energy Systems Across Scales
The energy transition involves technologies ranging from molecular-level processes to complete energy systems and electrical grids. Simulation can support applications including carbon capture, hydrogen production, wind and hydro turbines, battery systems, fuel cells, gas turbines, BESS, microgrids, and smart energy systems.
This multi-scale approach allows organizations to evaluate energy technologies and their interactions before implementation.
Key Takeaway: Multi-domain simulation helps engineers evaluate sustainable technologies from individual components to complete energy systems.
7. AI and Digital Twins Accelerate Sustainable Innovation
AI and computational modeling are transforming how energy assets are designed, validated, built, and operated. Digital twins can combine simulation models with operational data to improve predictions, validate performance, and support better decisions throughout an asset’s lifecycle.
By connecting digital tools with engineering processes, organizations can accelerate innovation while improving efficiency, reliability, and sustainability.
Key Takeaway: AI, simulation, and digital twins accelerate engineering decisions and support more sustainable asset development.
8. Integrated Digitalization Creates Broader Sustainability Impact
Siemens describes a 360-degree sustainability approach spanning customers, the planet, society, operations, products, and people. Digital technologies can help organizations bring electrification, energy optimization, and resilience together rather than addressing sustainability through isolated initiatives.
This integrated approach supports measurable improvements in decarbonization and energy efficiency, resource efficiency and circularity, and people-centricity and society.
Key Takeaway: An integrated digital approach helps organizations turn sustainability goals into measurable improvements across complex energy systems.
