This paper reports the first results of an ongoing project aimed at generating design information /knowledge for wet central heating (WCH) refurbishment in multi-family houses in Central Europe. In that practical context, integral modelling and simulation of a building and its heating system is demonstrated. Given the underlying importance of the dynamic thermal interactions, building and plant are modelled at a high level of resolution.
This paper gives an introduction into the simulation of the thermic behaviour of a modernized building including the calculation of both single and two pipe heating by a new TYPE57 for simulation of heating pipe systems within the program TRNSYS. The data simulated are compared with measurements. The occupancy behaviour and the kind of decentral control have a decisive influence on heat consumption within a building.
This paper briefly reviews recent research into the modelling of complex fenestration systems, before presenting some results obtained by the use of a new (developing) simulation model, utilising Monte Carlo Methods and Geometric Optics (ray tracing).
The CLIM 2000 software environment [1] was developed by the Electricity Applications in Buildings Branch of the French utility company, Electricité de France. This software, which has been in operation since June 1989, allows the behavior of a whole building to be simulated. During the last phase of development, special attention, and hence research resources, were devoted to developing an open-ended software package, where new models of regulator could be added in a user friendly way.
During the academic year 95-96 an NMF based model library has been developed by the IDA group. The library contains detailed and simplified zone models, full finite difference and reduced RC-network wall models, different types of solar radiation calculation models, state-of-the-art window models, local climate control models and some supporting Fortran subroutines. Among the most interesting models are the detailed convective - radiative zone with full non-linear radiative and convective heat transfer using a general view factor calculation algorithm and the RC-wall model.
A new method for predicting and evaluating the energy performance of large commercial and institutional buildings is developed, as an alternative to using existing comprehensive energy simulation programs like DOE-2 and BLAST, or oversimplified tools like analyzing monthly utility bills. The steps are convenient and practical in their potential use by the energy analysts.
In this paper ongoing work using the computer algebra system Maple V and the object-based environment Spark is presented, that aim at the an alytical approximate resolution of problems encountered in air flows in dwelling zones, using computer algebra and expert system techniques. The application domain is the building science. The current scope of the work at this stage is two dimensional and steady state.
This paper describes the contents of an application manual for building energy and environmental software to be published in the UK. The purpose of the manual is to provide advice to practising engineers on the selection and appropriate application of such software. This is believed to be the first such manual. UK organisations involved in the project are the Department of the Environment, CIBSE, the Building Research Establishment and BEPAC.
The IMAGE project aims to generate new performance information for advanced glazing and identify opportunities for applications. There are two main research activities in support of these aims: the laboratory and outdoor test cell monitoring of alternative systems; and the use of simulations to determine the cost-benefit of application to different building types when placed in different climate contexts. This paper describes the application of computer simulation as part of a cost-benefit analysis applied to a live building design project for a major office building in Birmingham.
Computational modeling of building performance can generate extensive amounts of data. For this data to be useful, it must effectively interface with the informational requirements and procedural constraints of the building delivery process. Toward this end, this paper specifically explores the potential of aggregate spacetime performance indicators.
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