Optimizing the Desirable Building Pattern
Given the fact that the selected samples represented a large number of buildings throughout the city, they can be used to obtain the optimal dimensions in order to offer a suitable building pattern with desirable physical features. To this end, first the building data were written as mathematical functions in order to apply optimization on the data (Table 4). Next, the obtained functions were used to calculate energy consumption for the A/C and wall transparency which are listed in Tables 5 and 611In these tables, samples were shown with 1 and 2 superscripts to avoid errors. . Accordingly, Table 4 shows that a building with the lowest transparency percentage consumes the lowest amount of energy.
Table 5.: The mathematical functions compared with the existing building data to achieve the samples’ performances in energy consumption (the average energy consumption of A/C system).