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ITI
René Unger
EA EnergieArchitektur GmbH

 

"With the help of SimulationX and its Green Building library, we are not only able to analyze all energy flows, but we can also optimize system layouts and business cases."

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Green Building

Comprehensive simulations for energy efficient buildings

New eco-friendly buildings are able to handle their inhabitants’ energy demand autonomously. However, developing renewable energy sources while ensuring save supply and affordability pose a huge challenge. Green buildings must also be durable, efficient and cost-effective. Thus, the main problem is that renewable energy sources such as wind and solar energy cannot be used in the same way as conventional resources due to their fluctuating availability.

That is why smart systems for designing, analyzing and optimizing building layouts are vital. Such systems can calculate and balance the demand and the production to assess energy saving potentials, for example. In this context, crucial questions are: How much energy can a self-sufficient building provide? What is the most efficient layout? How much energy does it save compared to a conventional building? How high are the lifecycle costs?

SimulationX answers your questions before the installation of the actual energy system. It helps to calculate the optimal use of energy resources and decentralized energy storage. With this interdisciplinary simulation tool, engineers can design, analyze and create virtual prototypes of technical components and complex systems of energy efficient buildings on a single software platform. The versatile tool has a straightforward user interface and comes with ready-to-use elements based on real-world data.

Green Building

Fields of application

  • Individual layouts of energy efficient buildings accounting for a variety of input data categories, e.g. consumer demand, climate, electric mobility and energy prices
  • Comparison of different system configurations, e.g. regarding energy and life cycle costs (incl. investment, consumption, subsidies, degradation, maintenance)
  • Energy management with the help of a plant model for testing energy management algorithms during simulation
  • Assessment of power requirements based on dynamic stress tests

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