Current research projects

Calibration leak for the water bath leak test

Electrical components in refrigeration circuits

Investigation according to DIN EN ISO 14903

Industry 4.0 membrane heat and mass exchanger (i-MWÜ4.0)

Reducing the filling quantity

Laseroptical measurement

Energy efficiency consulting - cogeneration systems

Panel with indirect evaporative cooling via membrane

State of system and failure analyses

Lifetime prediction of hermetic compressor systems

3D - Air flow sensor

Cryogenic liquid piston pumps for cold liquefied gases like LIN, LOX, LHe, LH2, LNG, LAr

Innovative cryogenic cooling system for the recondensation / liquefaction of technical gases up to 77 K

Software for test rigs

Hydrogen and methane testing field at the ILK

Heat2Power

You are here: Home / Consulting, Expert Opinions

Combined building and system simulation

Industry and building technology

upon request

Dipl.-Ing. (FH) Hannes Rosenbaum

+49-351-4081-5324

send mail

Scientific analysis of thermodynamic processes in buildings and its systems

TRNSYS

TRNSYS (TRaNsient SYstem Simulation Program) is a software for dynamic system simulation based on numerical routines for solving partial differential equations. ILK Dresden uses TRNSYS to calculate simple heat transport and heat storage processes as well as complex building and energy system models in a multi-zone model.

Thermal simulations of multi-zone building models

... allow the calculation of time-resolved and statistically evaluable (dynamic) sequences of:

Air-condition variables (temperature and humidity) and surface temperatures
Sensitive and latent loads (heating load, cooling load, ...)
Energy flows and balances between neighboring zones
Weather and radiation data as well as their influence on the zones and individual components of the building

... support planning processes as well as R&D tasks and answer important questions, such as:

Dynamic behavior of a room or a zone
Influence of building physics and constructional characteristics of the building envelope
Periods with actual values above or below specified setpoints
Switching criteria for control circuits
Effect of additional thermal storage (sensitive/latent) (e.g., PCM)
Comparison of different sun protection and shading devices including their control

The building model also takes into account the building structure (geometry, characteristics of component and assemblies, weather data), the utilisation as well as requirement and load profiles. It is supplemented by active components and individually programmed inputs.

The numeric routines of TRNSYS are based on standardized calculation methods (including DIN EN ISO 13791 and DIN EN ISO 13792).

Statistical distribution (h / a) of current cooling loads, as well as maximum cooling load and annual effective cooling energy demand (14 m² single office in Hamburg): Influence of the building envelope and the usage of PCM in walls and ceilings.

Combined building and system simulations

… are based on a connection of the building model with the model(s) of technical system(s) … enable detailed investigations taking into account the interaction between the technical systems and the building

TRNSYS model of an administration building: 7 zones of different usage with different air-conditioning scenarios and system configurations: The linked Types describe specifications of geometrical and building physics data, control of lightning and shading devices, utilization and busy time profiles, control scenarios for each energy system, weather data, setpoints)

Combined building and system simulation usually involve the calculation:

Timing of performance requirements for a technical system or its components
Of ultimate and primary energy requirements (annual and total values) as reference values
Temporal changes of surface temperatures and air condition variables (temperature and humidity) or other actual values as a function of the performance parameters of the modeled systems
Of periods with actual values above or below specified setpoints

Annual trends of air temperature and humidity, heating capacity in the air conditioning unit for a single office (heat recovery 45%), modeled according to DIN V 18599-10 without moisture demand and without cooling; minimum air change while busy time according to DIN

Frequency scale of Δh/Δx in an air heating and humidification system depending on the heat recovery in order to realize hygienic minimum standards in an office (at least 20 ° C and 30% r.h.)

The results of building and system simulation help

To evaluate the functionality and the mode of operation of different building concepts or energy concepts, regarding to energy efficiency and sustainability,
To analyze the influence of different system configurations, system power as well as control scenarios on the thermal behavior of the building,
To determine the requirement profile of each system component, and
ILK to develop HVAC components.

Detailed investigation of thermal effects of a PCM ventilation unit with bypass in summer and winter: temperature and load curves (exemplary 24-hour trends from the annual simulation of an office room); bypass activation whenever the outside temperature falls below 5 or 15 ° C

ILK Dresden also uses dynamic building and system simulations with TRNSYS to determine the boundary conditions for CFD simulations.

Simulation of thermal systems

...are useful if the dynamic behavior of an installation is of interest. For modeling, the ILK Dresden uses both TRNSYS standard types as well as TESS models. A mathematical modeling of controls or thermodynamic relationships via characteristic models and magnitude equations are also possible.

System simulation applications of ILK are:

Representation of the thermal behavior of newly developed components or particular operating scenarios or control regimes
Comparison of the simulation results with measurement data taking into account thermal, temporal and control-related boundary conditions of the measurement
Simulation of the expected behavior and prediction of possible effects (energy inputs or yields, frequency of possible "worst-case" scenarios) of the modeled systems with changed boundary conditions
Derivation of possible optimization potentials