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).