Plant Simulation

With the data provided by building simulation, we determine in a computer model the optimal plant and control strategies. Hereby the annual energy consumption in comparison to each plant is exactly observable.

Security in the choice of customized system solution

The primary energy consumption of a building is due to rising costs and the pursuit of energy efficiency throughout the focus of investors and users. The energy consumption is the consequence of the more or less good interaction of environment, facade, building and plant engineering.

With the results and data from the building and flow simulation, we calculate for you the best plant and control technology. We develop size and control strategies for energy-efficient operation of technical equipment for heating, cooling and ventilation. We can compare the investment options clearly, for example by contrasting the annual energy consumption data​​.

We offer among other things,

• calculation of the annual energy demand
• optimization of the plant`s operating time
• identification of the  energy efficiency
• dimensioning of the component`s size
• yield calculation for solar plants

The system of the building, the equipment and its control is exposed to external influences. Alongside mentioned with the weather, is the user intervention, such as opening the window or the adjustment of thermostatic valves. According to our opinion, the user is the measure of all things and for his thermal comfort, the building systems should be optimized.

In the course of the thermal plant simulation for instance, we can also provide a comparison with the operation of a component cooling and heating by ground water with a conventional operation with radiator and chilled ceiling.

Results of the plant simulation

• planning and optimization of plants and air-conditioning concept
• optimization of the plant operation by simulating the user behavior
• comparison of different plant types for rooms and buildings
• calculation and analysis of load curves of plants for heating and cooling of buildings or rooms on the basis of hourly weather data
• planning and optimization of the control plants
• reduction of investment and operating costs through "what if ?" analyses