Helping decision makers plan for the energy transition



The Scenario Analysis Interface for Energy Systems is a planning software to model coupled energy networks & markets.

What is SAInt?

Discover our software & its key features

Who uses SAInt?

Find out who can use SAInt & for which applications

SAInt case studies

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Intuitive · Flexible · Modular


What makes SAInt unique?

SAInt advances energy planning by allowing users to model coupled energy networks to quantify their interdependencies and synergies and plan their integration and coordination.

SAInt’s users can run physical simulations and optimization models to quantify the trade-offs between costs and reliability and study the intersection of markets and physical systems.

SAInt integrates meteorological datasets with energy network models to capture renewable energy sources' variability with high spatial and temporal resolutions.

Accelerate the energy transition.

Check out our new white paper and discover the importance of leveraging the synergies between energy networks.

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SAInt has been developed by a team with extensive knowledge in energy modeling that combines technical understanding of the system with experience in the application and implementation of tools for planning and decision making. This makes SAInt a very powerful and innovative tool.

encoord is a top energy software company with unique products to solve today’s energy transformation challenges. The company’s staff is very professional and delivers first class analytical solutions while providing personalized capacity building to best utilize its products and energy solutions.

With its comprehensive expertise and support in the field of coupled infrastructure modelling, encoord delivers a valuable contribution to the highly topical sector coupling discussion. 

The SAInt tool hereby provides (currently unique) possibilities for the simultaneous calculation of interlinked energy transport infrastructures (e.g. power, gas) and allows parties like grid operators to analyze the implications of an increasingly coupled energy system in a quantitative and founded way.

We are currently using this software to analyze the interdependence between critical energy infrastructures in Europe, obtaining useful results for the performance assessment of the gas and electricity transmission networks in the face of contingencies that affect the security of supply.