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Code exposed: Review of five open-source frameworks for modeling renewable energy systems

Soner Candas, Christoph Muschner, Stefanie Buchholz, Rasmus Bramstoft, Jonas van Ouwerkerk, Karlo Hainsch, Konstantin Löffler, Stephan Günther, Sarah Berendes, Stefanie Nguyen, Aparna Justin

2022Renewable and Sustainable Energy Reviews57 citationsDOIOpen Access PDF

Abstract

Energy system modeling is a commonly used method to provide policy recommendations and insight to transformation pathways of energy systems. However, the low open-source availability of the frameworks in practice often leads to low interpretability and transparency of energy modeling system configurations. The configuration of an energy model entails how its system components, such as power plants, storage systems and grids operate, and which parameters are used to define them. In order to understand the impact of different model configurations and working principles on the model output, a thorough comparison between various modeling frameworks is necessary. This work thereby consists of a comparison of five open-source energy system modeling frameworks (OS-ESMFs) oemof, GENeSYS-MOD, Balmorel, urbs and GENESYS-2 on the mathematical level and spotlights selected methodological differences in renewable energy system modeling. The comparison shows diversity in the complexity of selected system components and helps to define the best use-cases and scales of application for each framework. Impacts of modeled features on the results were demonstrated by implementing two harmonized scenarios depicting the German electricity system using each framework. While similar model results were obtained for both scenarios, some differences were present, especially in the long-term expansion planning model. Some of those differences could be traced back to the identified modeling differences.

Topics & Concepts

InterpretabilityRenewable energyComputer scienceSystems modelingElectric power systemEnergy modelingSource codeEnergy systemElectricityEnergy (signal processing)Industrial engineeringPower (physics)Software engineeringEngineeringMathematicsArtificial intelligenceStatisticsQuantum mechanicsOperating systemElectrical engineeringPhysicsIntegrated Energy Systems OptimizationRenewable Energy and SustainabilitySmart Grid Energy Management
Code exposed: Review of five open-source frameworks for modeling renewable energy systems | Litcius