This paper describes the results of a German research project, where a CAAD-program (Computer Architectural Aided Design) was integrated with two energetic building simulation programs to a software package for calculating and optimising the energy demand of CAAD-constructed buildings. The used key technology to transfer the huge number of geometrical, topological and physical build- ing parameters was the IFC data exchange format. For realising the project task, the CAAD-program was extended for the use with energetic building simulation and the building simulation tools were coupled.
Environmental masterplanning is an increasingly vibrant area of research and development activity. Design tools to support environmental masterplanning can be loosely categorised as simulating (i) microclimate, (ii) resource availability, and (iii) resource flows. Much progress has been made in respect of (i) and (ii) but the latter category – simulating resource flows within the urban neighbourhood – is at an embryonic stage. There is also a dearth of guidance for designing and managing sustainable urban neighbourhoods.
Approximately 60 percent of the weight of all wastes in Germany originates from the building area. For construction activities usually non-renewable resources are used.
The combined MatLab toolboxes FemLab and Simulink are evaluated as solvers for problems based on partial differential equations (PDEs). The FemLab software is designed to simulate systems of coupled PDEs, 1D, 2D or 3D, non-linear and time dependent. In order to show how the program works, a complete code for solving a 2D airflow problem is given. A validation study of this 2D dynamic airflow problem, modeled using Navier Stokes and buoyancy is shown. All results show good agreements with measurements.
The design choice for any wall system must be integrated with some moisture engineering analysis. Energy and durability analysis must go hand and hand to provide buildings with good service life performance. Moisture engineering analysis has recently been performed to predict whether a particular wall system may survive repeated exterior or interior environmental loads, some of these loads may be intentional and some not.
This article introduces the modelling of the split system (room air conditioner) with a continuous action controller for a building energy simulation. This model shows a way to calculate the energy consumption, the sensible and latent cooling capacity of the split system at part load operation matching the sensible and latent cooling zone loads. As a result, the zone air states can be exactly determined. The model of the split system with a two-point- controller has already been developed and verified (Neymark and Judkoff 1998; Neymark and Judkoff 2000; Knabe and Le 2000a).
With the current enhancements moisture engineering analysis of building envelope structures becomes a critical design element. Building envelopes design is often modeled using advanced hygrothermal models and customized for particular interior and exterior environmental loads. This is always conducted by assuming interior environmental conditions that are decoupled by the contributions of the envelope itself. This paper presents the results of whole building hygrothermal simulations, its effects on the indoor air conditions and on the building envelope.
Interoperable software makes it possible to seamlessly exchange data among different compliant applications. Seamless data exchange substantially saves time and resources that makes the use of energy software feasible in industry projects where it normally is not used.
This paper is about new features which where added to TRNSYS15 (Beckman, 2000) to improve its capabilities. For system simulations with TRNSYS15 now 6 new component libraries are available. Those Libraries include more than 160 new TYPES like solar, geothermal and HVAC components Also building simulations have been improved significantly. Thermally activated elements for heating and cooling are now integrated in the building model.
The integration of building Energy Simulation (ES) and Computational Fluid Dynamics (CFD) programs eliminates many assumptions employed in the separate simulations, resulting in more accurate predictions of building performance. This paper discusses the methods used to determine convective heat transfer on interior surfaces of building envelope, which links ES with CFD programs. The study found that the size of the first grid near a wall in CFD simulations is crucial for the correct prediction of the convective heat.