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Who we are

Driving innovation and efficiency in the business world with scientific precision.
Our Philosophy

FOLIVORA = SLOTH

Instead of defying gravity upright, sloths spend most of their lives hanging upside down in the branches of trees. They move very slowly.

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Efficiency

Sloths have specialized in their conservation to cope with nutrient-poor leaves. As a result, they must save energy at every turn.

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Omnipresent renewables rather than fossil energy sources

The sloth uses omnipresent food sources instead of rarer food sources, such as ripe fruit, which must be searched for with difficulty.

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Decentralization and locality

Sloths have very long arms but only very short shoulder blades. This gives them a maximum range of motion for localized feeding.

Our Journey from Research to Real-World Impact

Bei Folivora Energy liegt unser Fundament in hochmoderner akademischer Forschung.

Als Spin-off der Technischen Universität Darmstadt schlagen wir die Brücke zwischen modernster akademischer Forschung und praktischer Anwendung. Dabei nutzen wir unsere jahrelange Expertise in der Optimierung von Energiesystemen und Prozessen und setzen auf fortschrittliche Datenanalysen und mathematische Algorithmen, um transformative Lösungen für Energieoptimierung, effizientere Prozesse und strategische Entscheidungsfindung zu liefern.

Publications

Read our publications and discover the physics and mathematics behind our solutions.

Decentralized multi-grid coupling for energy supply of a hybrid bus depot using mixed-integer linear programming

Roth, Maximilian; Franke, George; Rinderknecht, Stephan

Smart Energy 8 (2022) 100090. DOI | Official URL

A Comprehensive Approach for an Approximative Integration of Nonlinear-Bivariate Functions in Mixed-Integer Linear Programming Models

Roth, Maximilian; Franke, George; Rinderknecht, Stephan

Mathematics 2022, 10, 2226. DOI | Official URL

Optimal component sizing and operational optimization of a mobile energy system for decentralized electricity supply

Roth, Maximilian; Franke, George; Rinderknecht, Stephan

Smart Energy 11 (2023) 100108. DOI | Official URL

Integration of dynamic CHPP and gas boiler behaviour into the convex planning problem for the optimised operation of multimodal microgrids

Roth, Maximilian; Harmuth, Stephan; Rinderknecht, Stephan

Smart Energy 17 (2025) 100170. DOI | Official URL

Meet Our Founders

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