IBPSA2009

Advanced façade systems such as double skin facades are increasingly common. However, evaluation of performance in terms of energy and comfort is not always possible. Limitations and constraints of current design tools lead to the introduction of a number of necessary simplifying assumptions. In-depth understanding of both software tools and the function and the performance of double skin façade systems are essential in solving these problems. The paper presents a case study and starts to develop a methodology for establishing an appropriate correlation.

Orthonormal Basis Functions (OBF) is a structure of dynamic models that have been applied in different classes of dynamic systems. Several works describing the theory and applicability of OBF (Orthonormal Basis Functions) in identification and control can be found in the literature. This work is focused on the problem of finding a Multiple-Input/Single-Output (MISO) OBF model for predicting indoor air temperature and energy consumption. The aim is to analyse an alternative way to do so in relation to well established building energy simulation tools.

Effects of differences in a town’s configuration and the building surface components on urban warming were investigated. One of the most traditional and now urbanized districts in Osaka was selected as the objective. The CFD model was developed for the present district and has verified by measurement in the former study. Surface temperatures were used as boundary conditions and the air temperature distributions were simulated. Surface temperatures of the wooden and soil walls were measured in another district those building materials were similar to those in 1917.

The knowledge of the local loss coefficients is important for the accurate calculation of ventilation duct pressure loss. In practice, the pressure loss of ventilation duct is very often forecasted, what causes the wrong design of the ventilating fan. A large number of local loss coefficients exist, but the published data are different. The local loss coefficient can be estimated experimentally by the measurement on the real model, or with using of numerical simulation.

Cooling energy refurbishment of buildings can be achieved by coating the outdoor walls with paints that have high solar reflectance (0.3-2.5µm) and high thermal emittance (4-80µm). In this presentation, the thermal performance of some paints is studied through an outdoor experiment. In a second part, the inwards conductive flux for a non-insulated wall is modelled with a premise energy budget’s module.

Presented work is devoted to numerical analysis of wind flow in vicinity of recently renovated historical building. The analysed building is a part of larger old post industrial complex transformed into cultural centre. The original building was completely exposed to external climatic factors. During the recent modernization, the new buildings were built around the existing one forming external, narrow corridors.

The wind environment around a building influences human lives and the design of it. Simulation by CFD software is a main method used to study wind environment. But the reliability of the simulation result needs to be proved by comparing to the measured wind environment data. Experiment and simulation on wind environment were carried out in this reasearch. What’s more, different simulation methods and different kinds of boundary concdition seetings were studied.

This paper describes an outdoor-indoor thermal investigation of a multifamily residential building during summer in Cairo, Egypt. Initially, microclimate meteorological data was generated for an urban settlement with and without trees being incorporated in to the development.  The software ENVI-met was used for this first stage. Two kinds of tree planting (15m high Ficus Elastica and 20m Yellow Poinciana) were simulated, together with the existing scenario that has no trees.

According to both the actual energy context and the latest laws meeting EU requirements about energy certification schemes for buildings, carrying out an energy performance diagnosis is mandatory, notably when buying or selling buildings. Indeed, invisible defaults could have a detrimental effect on their insulating qualities. An in-situ estimation of thermo-physical properties allowing to locate defaults, the present work focuses on testing in simulation, as a first approach, a new and effective method based on the use of artificial neural networks to characterize building materials i.e.

This paper describes the latest developments in the simulation of a thermal probe apparatus, building on earlier work as reported by de Wilde et al. (2007). The work focuses on researching the role of the probe to sample conductance H. Results obtained with the existing model are proven to be inconclusive, and necessitate the change to flexible general engineering finite element software.