Research Module 2.2 Indoor Simulations

This sub-project focuses on the development of simulation-based methods for evaluating the heat stress in interiors of buildings in densely populated urban areas. Two essential questions are studied in the core:

  • How can detailed statements be made with a manageable computational effort on the heat stress in inner spaces, which are subject to the influence of realistic boundary conditions of a fluctuating outside and inside climate ?
  • How must simulation models be designed for a heat-stress analysis in interiors, so that boundary conditions of the building design and of air conditioning technologies can be easily integrated?

A more simplified and therefore faster thermal room model with a much smaller number of balance elements will be developed, based on the modelling language Modelica. Both the simplified room model and a more complex CFD-room model will be integrated with a thermal comfort and heat-stress model of humans to obtain two differently detailed Indoor Climate System Models (ICSM_coarse and ICSM_fine). The fast ICSM_coarse will allow the calculation of unsteady heat-stress scenarios, even over several days. Because of the modular properties of Modelica, the ICSM_coarse can be easily adapted to different room situations and can be connected with the models for building air conditioning. The ICSM_fine will be used for in-depth analysis of heat-stress scenarios.

Collaboration within Research Links (RL)

430 Simulation-based design for rooms and buildings for reducing heat-stress risks
440 Prospective active A/C-solutions and building design

Collaboration within Research Cluster (RC)

510 From regional weather and climate to indoor and climates
520 Present-day heat-stress hazards, vulnerabilities and risks
530 Effectiveness of actions for reducing heat-stress risks
540 Efficiency of actions for reducing heat-stress risks

Sub-project Members

Prof. Dr. Christoph Nytsch-Geusen (UdK)

Katharina Mucha (UdK)
ed.nilreb-kduno content@ahcum.k

DFG Poster Presentation

DFG Poster Research Module 2.2