Our Team with Expertise from Science and Industry

Simon Kammerer

Jan-Eric Wörheide

Paul Wenzlokat

Hubert Brüning

All relevant ideas – from technical components and market assumptions to future options – are systematically captured and translated into a digital, configurable system model including any energy carriers and flow dynamics that are needed.
The machine-learning-supported simulation software enables the analysis of different scenarios based on historical or forecast data to determine the optimal combination, sizing, and operation of components and systems – including all technical and economic interdependencies.
The simulation provides reliable, data-driven actionable recommendations for defining the optimal investment strategy – including profitability analyses (e.g., ROI, payback period), CO₂ accounting, and more. Results are automatically evaluated and visualized in interactive online dashboards – accessible to all relevant stakeholders, from banks and engineers to decision-makers.
The system model is flexibly expandable and can be adapted at any time to new questions or changing conditions.
Volterica makes advanced simulation and planning tools accessible – saving up to 90% of the time typically spent on system design and investment planning.
Volterica replaces fragmented workflows with one flexible solution – supporting everything from rapid investment assessments to in-depth strategy development.
Cloud-based, collaborative, and built for speed – enabling instant responses to changes and seamless sharing of results with engineers, CFOs, banks, and other key stakeholders.
Built on a flexible node-edge architecture, the model uses configurable drag-and-drop elements to represent generators, storage units, consumers, and grid nodes – allowing for the integrated simulation and analysis of all energy and material flows, from electricity and heat to hydrogen.
Instead of static PowerPoint files, results are brought to life in interactive digital dashboards – featuring comprehensive scenario comparisons, key financial metrics like ROI and payback period, and all relevant technical data from the operational simulations.
Stakeholders can, for example, adjust internal return rates or investment costs – and immediately see how these changes affect outcomes.
Get a holistic, at-a-glance view of your energy system including all sources, consumers, and losses
Visualize the system in a way all stakeholders can understand – from energy managers and auditors to bankers and decision-makers
Ensure robustness under changing regulatory and market conditions – respond to all possible developments instantly
Avoid misinvestments and eliminate unfavorable path dependencies
Optimize contractual and revenue-related aspects – real-time markets, PPAs, energy flexibility, grid fees
Make data-driven investment decisions and compare multiple planning scenarios
Develop a data-backed roadmap and strategy for CO₂ neutrality that makes sense economicaly
Set up integrated carbon accounting for each project and site with ease
Build a strong economic case for sustainable investments