Description
Design your hydrogen projects efficiently along the entire process chain—from electricity and hydrogen generation to compression and storage, and finally to the application of hydrogen.
Edgar HyPro is your central simulation and optimization software that enables you to quickly and easily integrate technical systems and economic profiles into your project. You can either upload your own data or rely on the pre-prepared, integrated data already available in the software.
The straightforward configuration of the entire process chain allows you to customize all necessary components with just a few clicks. Edgar HyPro ensures that all decision-relevant data is clearly presented at a glance—whether it concerns hydrogen production costs, the amount of hydrogen generated, or electricity consumption.
Additionally, the software offers a clear comparison of revenues and costs. You can instantly see the income as well as the investment costs (CAPEX), operating costs (OPEX), and total costs (TOTEX), all presented in clear charts and tables that can also be downloaded as a CSV file.
For an in-depth analysis of your projects, Edgar HyPro provides comprehensive representations of various project parameters, including producer structure, supply rate, and utilization rate, so you can make informed decisions at any time.
Edgar can be used flexibly through a pay-per-use model or as a long-term, cost-effective subscription option. In addition to the software, we can also offer you personalized consulting services. You ask us your questions, and we answer them using our software solution.
Are you interested in Edgar? Then contact us!
Technical specifications
About the vendor
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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