IBPSA2001

This paper describes the development and validation of a simulation model for Advanced Integrated Mechanical Systems (AIMS) destined for residential applications. AIMS are defined as mechanical systems that integrate the functions of residential space heating (optional cooling), heat recovery ventilation and hot water heating. Efficiency advancements of these systems are expected through the use of intelligent controls, high efficiency fans and motors,and the use of computer models to optimize the performance. The model was developed as a stand-alone application for testing and validation.

The Energy and Environmental Prediction (EEP) model is an environmental auditing and decision making tool for cities, to be used by planners and others in pursuit of sustainable development. The EEP model is based on Geographical Information System (GIS) techniques and incorporates a number of sub-models to establish current energy use and emissions produced by buildings, transport systems and industry. Two of the sub-models are concerned with building energy use, namely, for domestic and non-domestic buildings.

In the last seven years, a method has been developed to analyse building energy performance using simulation, in Brazil. The method combines analysis of building documentation, and walk-thought visits, electric and thermal measurements, with climate analysis and the use of an energy tool (DOE2.1E code). The method was used to model more than fifteen office buildings (more than 200 000 m²), between 12.5 and 27.5° of South latitude. The paper describes  the  basic  methodology  and  justifies  it, using some results.

The measured thermal behavior of a massive building that uses passive techniques for indoor air conditioning is presented. The building thermal transient behavior was simulated with SIMEDIF code. The measured mean indoor temperatures fall between 20 and 23.5ºC, while the  outdoor temperature is around 15ºC. Because of the symmetry of the building with respect to the north-south plane, the assumption that there is no heat flux between east and west wings has been made. Measured data set and simulated data set are both in good agreement.

In   this   work,   the   results   obtained   during   the monitoring of a building together with the adjustment curves achieved with the numeric simulation program SIMEDIF are presented. SIMEDIF has been developed in the INENCO (Non Conventional Energy Research Institute), Salta, Argentina,. In the measured data (from 1 to Aug. 4, 1997) the light weight character of the construction is evidenced by the lack  of  an  appreciable phase out between  the interior and the external temperature. The expected dissimilar behavior between the rooms facing South and North was observed.

With increasing demands for electric power in large commercial buildings the problem of magnetic interference to sensitive equipment has increased. However, low-frequency (ELF) electromagnetic interference is not generally addressed in the design and installation of building electrical distribution systems. The development of the upper limit of the background magnetic field levels in office buildings is discussed in relation to the physical layout of current carrying conductors.

When modernist architecture in the tropics started in the 30´of the 20th century, air-conditioning systems and special glazing were not yet available.

This paper proposed two simulation methods of the “Cooperation control “. The Cooperation control is defined the optimize connecting control in the HVAC, artificial lighting and day-lighting combined with venetian blind control. The  first  method  is  RBFN(Radial  Basis  Function Networks)[1] that is a kind of Neural Networks. The method  is  adopted  for  learning  the  data  of  the “Expert“ contorol value. The method makes the modl. The second is SOM (Self-organizing Maps) [2] that is another Neural Networks, too. SOM is one method of  the  Data  Mining.

The  paper  presents  a  dynamic  approach  of  the validation process of existing building simulation model. The normalization of the simulation results and the division of the electricity and gas bill are realized by taking into account the balance point temperatures for appropriate degree-days. These temperatures, as it was shown in this paper, could change during the validation process, as opposed to most cases where these temperatures are arbitrary fixed for the whole process.