Part I of this paper discussed the theoretical considerations of creating a nonlinear black box model. In P art II, the constraints on the nonlinear model imposed by the application are discussed followed by presentation of the model structure, training method, input selection, and input transformation. The test results of applying the proposed model with the selected features to five test buildings are discussed next. One of the test buildings (Zachry Engineering C enter) selected for this study was also used in a previous study as a p art of energy prediction competition (Haber!
A building energy management system (BEMS) generally monitors and manages energy usage in commercial buildings. With the ability to monitor a plant and to recall the collected data at a later time, actual building energy performance can be measured and compared with the expected performance. The comparison will help in detecting possible abnormalities with the building energy usage and in identifying opportunities to optimize the building energy performance. In order to predict expected building energy performance, a reasonably accurate building energy model is needed.
A method of assessing building passive thermal performance for houses in Europe is described. The method is intended to provide the user with a means of understanding the factors effecting the thermal characteristics of the building, while giving figures that will allow the best use to be made of available passive energy techniques. The development and use of this method is outlined, and a description is given of how Genetic Programming will be used in this process.
The construction of dwellings for people with low incomes in developing countries encompasses a broad range of issues starting from the choice of the building site, to the construction phase and finally to the evaluation of the building itself. For tropical climates, the thermal evaluation of low-cost dwellings should be primarily related to the optimization of internal comfort conditions. Nevertheless, from the financial point of view, the improvement of thermal comfort conditions in low-cost housing should not result in a substantial increase in the final building costs.
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