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Research Article Journal of Energy Management and Technology (JEMT) Vol. 5, Issue 2 69Fig. 4. Wind speed frequency distribution (Right) and Relativefrequency of direction and wind speed (left).Fig. 5. Relative frequency of direction and wind speed in summer (Right), and in winter (left).Fig. 6. Solar radiation on building surfaces.load efficiency, operating schedule, and building%u2019s HVAC system were adjusted according to the BIM parameter (as shownin Table 6). This building has no daylighting and occupancycontrols system and photovoltaic solar panels. After adjustingthe parameters affecting energy consumption, according to Table 6, the energy cost of block A would be 5.4 USD/m2/year.This value for blocks B, C, D, and the middle-lobby is equal to6.47, 6.66, 5.89, and 8.03, respectively. Accordingly, the valuesof energy use intensity for blocks A-D and the middle-lobbywould be equal to 86.7, 99, 105, 99.6, and 170 kWh/m2/year,respectively. The building orientation relative to the previousmodel (initial model) isn%u2019t changed and based on the geographical north. The windows ratios to the northern and southernFig. 7. Energy consumption index based on energy cost, BlockA.Fig. 8. Energy consumption index based on energy use intensity, Block A.walls are unchanged and equal to 16% and 20% for block A,18% and 22% for block B, 21% and 23% for block C, 21% forblock D, 15% and 25% for the middle-lobby, respectively. For allblocks, the northern window shades are considered by default.Moreover, the southern window shades were selected as highas 2/3 of the window height. As shown in Table 6, the typeof northern windows was determined based on the softwaredefined element for all blocks. The triple-glazed type with lowemission was chosen to be used in southern windows. Due tothe lack of significant efficiency, have been removed the easternand western windows from the building model. The walls androof structure are shown in Table 6. The building infiltration ratewas considered 0.17 ACH. The value of the lighting efficiency isassumed to be 3.23 W/m2. The values of the plug load efficiencyand the operating schedule were adjusted according to the BIMparameter. The building%u2019s HVAC system was assumed to be ahigh-efficiency variable air volume system. Also, the buildinghas a daylighting and occupancy control system. Finally, toachieve the highest level of energy efficiency were used the photovoltaic solar panels. For this purpose, the photovoltaic solarpanels were used with a yield of 20.4% and surface coverageof 90%. The payback limit of these panels was assigned for 30years.The results show that the use of building information modeling technology for adjusting the parameters affecting energyconsumption can save up to 58.46% in energy cost for Block A.This value for block B, C, D, and the middle-lobby are 50.23%,51.03%, 58.23%, and 43.05%, respectively. However, based onthe energy use intensity, this value would be 22.59%, 16.81%,16.67%, 16.30%, and 11% for blocks A, B, C, D, and the middlelobby, respectively. The saving based on energy cost can becalculated by Eq. (1), and saving based on energy use intensitycan be estimated using Eq. (2).