Design and verification of simulation models of passive houses

Abstract

Passive houses are featured with very low energy consumption for heating and operation, which is reached not only by excellent insulation, but also by proper control algorithms. Optimization of passive houses must be done both by civil and control engineers; furthermore, these disciplines must collaborate. For the optimization, simulation models are very useful test-beds. This paper presents the Building Simulation Library (Bldsimlib) and its mathematical-physical background. The universal library blocks simulate temperature, carbon dioxide concentration, relative humidity, and air pressure. The paper compares preliminary really measured data from an experimental passive house and simulation results. Finally, an ontology-based methodology for semi-automated design of simulation models is proposed and evaluated.

Big data analysis for sensor time-series in automation

“…It is based on our former project dealing with measuring physical behavior of passive houses and fine-tuning a dynamic simulation model approximating their operation. This use case and the simulation model to be finetuned were presented in [11]. The overall goal is to improve simulation and control of passive houses by means of big data.…”