مهديس ابراهيمي

Achieving a sustainable, comprehensive, and innovative pattern in the design of urban blocks requires numerous experiments and innovations. This trend, by improving the qualitative and quantitative features of the block's physical properties, including its shape and layout, aims to reduce energy consumption, which is one of the most important challenges of sustainability. In eva‎luating energy efficiency, eva‎luating the combined performance of energy consumption in the heating and cooling domain is an appropriate measure to assess the level of efficiency, and minimizing this load in buildings will reduce energy demand. In this regard, many studies have investigated the range of the effect of effective design factors such as proportions, form, occupancy area, and density on the amount of thermal load, using data-driven and quantitative techniques at various spatial and temporal scales. However, despite the extensive research in this field, many gaps still exist due to the importance of the issue. The present study aims to address one of these gaps by examining the precise effect of the variable of the number of blocks, as a subcategory of the layout in the block arrangement domain, on the annual heating and cooling load of the blocks. By analysing this effect, achieving an optimal pattern in the design with high energy efficiency and comfort for residents will be realized. In the first stage of the study, all variables and factors, including independent and dependent, influential and intervention, were fully explained and examined. In the second stage, appropriate algorithms were designed to produce different numbers of units in layouts and create debatable sets of this parameter, which were implemented using Python programming language in the Grasshopper plugin in Rhinoceros software. Then, the process of simulating the thermal load of layouts was realized using the Ladybug and Honeybee plugins in this software. In the final stage, the results of the simulations were analysed and eva‎luated to reach the optimal number of units in the layouts. The result of this test is a linear graph with a high correlation coefficient. The findings indicate a focus on energy efficiency and a reduction in heating, particularly cooling loads in Tehran and warm and semi-arid climates, leading to a reduction in the number of buildings in urban blocks.

بلوك شهري , چيدمان مجموعه , تعداد بناها , بار گرمايشي و سرمايشي سالانه

City Block , Arrangement , Number of Buildings , Annual Heating and Cooling Load

Mahdis Ebrahimi

Dr. Mohsen Faizi- Dr. Mohammadali Khanmohammadi- Dr. Abbas Tarkashvand