زينب قاسمي سنگي

Residential buildings form a major part of the urban artificial environment, therefore with the prediction and promotion of residential building performance in the early design stage, energy consumption can be reduced greatly without additional cost. However, most studies in the field of energy consumption of residential buildings have examined each building separately, while the process of building energy performance analysis, will be completed by considering the effects of different parameters of the buildings on each other and on the environmental factors. The height of buildings is one of the main features of urban configuration that affects energy consumption. In this context, the present study investigates the effect of the height distribution of buildings in a residential complex on the energy consumption required for cooling and heating. Finally, the findings of the research are presented as strategies to determine the optimal height distribution of buildings in order to increase the energy efficiency of the complex. These findings will be used to select the optimal layout to improve the design of a residential complex in Tehran city. This research has been done by simulation of different possible layouts through computational softwares. For this purpose, first the density of a residential complex has been determined based on the rules and regulations of Tehran city and according to the site dimensions and certain site coverage. Then, the required building density has been distributed in different layouts, based on their diversity at different heights. In the next step, the annual energy consumption for cooling and heating of the complex has been calculated for each of these layouts and compared with each other. The parametric generative model has been created in the Grasshopper plugin from Rhino software and the energy consumption is eva‎luated with the Honeybee plugin over a one-year period. Also, the research findings have been validated through DesignBuilder software, using the EnergyPlus engine. The results of the research show that at a constant density, by reducing the number of blocks (reducing the site coverage) and increasing the height of buildings can reduce the heating load of the complex by up to 80%. Also, if the number of blocks in each case is considered constant, change in the height distribution of the blocks can reduce the the annual cooling and heating energy consumption by up to 11% and 60% respectively. Therefore, achieving the optimal value for each of the cooling and heating loads depends on the specific priorities and conditions of the design project. In general, the results of energy simulation indicate that the height distribution of the blocks can have a significant effect on the energy consumption. The results provide a broader perspective for planners and architects to make more effective decisions in the early stages of design.

بهينه‌سازي انرژي , توزيع ارتفاعي , مجموعه مسكوني , چيدمان , شبيه‌سازي

Energy Optimization , Height Distribution , Residential Complex , Layout , Simulation

Zeinab Ghasemi Sangi

Dr. Abbas Tarkashvand - Dr. Haniyeh Sanaieian