Edgar - Software for Hydrogen Refueling Station (HRS) Planning

App / webportals
Software as a Service (SaaS) Refueling station planning without limits! Refueling station optimization 24/7 from anywhere with our SaaS...
Optimization objectives Save costs and increase efficiency! Through our software, you can optimize your refueling station in a...
Economic result evaluation Trust in Edgar! With our detailed economic result evaluation, you can make well-founded financial...

Description

With Edgar for optimal planning of H₂ refueling stations! How many compressors are needed for your HRS? What H₂ storage capacity is optimal?

Edgar is a SaaS solution for optimal planning of H₂ refueling stations based on all important technical and economic factors. Using a multi-objective optimization algorithm, Edgar determines the optimal concept for your project in each case. In the process, the decisive criteria can be defined individually – regardless of whether they are technical or economic. The calculated key figures of the different variants are visualized in a dashboard and can be compared easily and objectively. Edgar thus makes complex decision-making simple.  

An important application area of Edgar is hydrogen production and utilization. Our product Edgar HRS is a planning software that allows hydrogen refueling stations to be both technically designed and economically evaluated.

Edgar can be used flexibly via pay-per-use or as a long-term, low-cost subscription variant. In addition to the software, we can also provide you with individually customized consulting services. You ask us your questions and we answer them with the help of our software solution.Interested in Edgar? Please feel free to contact us!

Technical specifications

About the vendor

Edgar Software logo

Edgar Software

Freiberg, Germany

The Edgar software is a product of FI Freiberg Institut GmbH.

We are an innovative software company and develop modern cloud software for planning energy systems. We believe in a world where energy and resources are used optimally in a sustainable way. Our goal is to enable our users to optimally plan the energy systems of the future.

To do this, we take nature as our model and use evolutionary algorithms to quickly and easily find the best solution from complex technical, economic and ecological issues.

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