Page 5 - Demo

Research Article Journal of Energy Management and Technology (JEMT) Vol. 5, Issue 2 67Table 1. Comparison of different building forms based on the simulation of energy consumption in conceptual massesModule-1 Module-2 Module-3Floors 22 43 84Units 1070 1073 1084Height (m) 81.7 159.4 311.1Building FormEnergy Cost Saving Energy Use Intensity SavingUSD/m2/year Percent kWh/m2/year PercentModule-1BIM Parameters 13.4 0 110 0Optimized Parameters 6.56 51.04 81.6 25.82Module-2BIM Parameters 13.5 0 108 0Optimized Parameters 7.33 45.7 89 17.59Module-3BIM Parameters 14 0 111 0Optimized Parameters 8 42.86 96.3 13.24The data related to design conditions based on dry-bulb temperature and Mean Coincident Wet Bulb temperature (MCWB)are shown in Table 4. Fig. 3 shows the average of the minimumand maximum daily temperatures every month. Fig. 4 showsthe wind speed frequency distribution based on annual data.The wind rose diagram is also shown based on annual data.This graph represents the relative frequency of direction andwind speed over a period of time at a specific location. Fig. 5shows the relative frequency of direction and wind speed in thesummer and winter seasons.Table 4. Basic parameters of building energy modelAnnual Design Conditions Unit: SIThresholdCooling HeatingDry Bulb (%u25e6C) MCWB (%u25e6C) Dry Bulb (%u25e6C) MCWB (%u25e6C)0/10% 39/2 18/1 -10/4 -11/30/20% 38/8 17/9 -9/8 -110/40% 38/4 17/9 -9/2 -10/40/50% 38/2 18 -8/8 -9/81% 37/3 17/3 -7/6 -8/92% 36/4 16/9 -4/8 -6/52/50% 36 16/7 -3/9 -5/75% 34/1 15/8 -1/9 -3/7C. Solar Orientation StudyThis study investigates how solar radiation on building surfaces.After setting parameters such as project location, date, time, andtime interval, will be obtained a graphical presentation of solarradiation (Fig. 6). The results indicated that block A (locatedon the western side of the site) with the most sunlight receivedduring a day, had a better position compared to other blocks.Fig. 3. Average maximum and minimum daily temperatureson a monthly basis.D. Energy Effective Parameters AnalysisFig. 7 for block A shows the highest energy cost in July. According to this analysis, ventilation fans and space cooling havethe largest share compared to other parameters affecting energyconsumption. The maximum energy use intensity in block Ais observed in January (Fig. 8). Obviously, space heat and ventilation fans have the highest share among other parameters.Accordingly, the highest level of energy consumption based onenergy cost is seen in July and August, and based on energyuse intensity is seen in January and December. The schematicdiagrams of energy consumption for blocks B, C, D, and the