The purpose of this category is to determine the gross floor area and the wall area. Additionally,
the window-to-wall ratio is a crucial parameter for calculating the thermal loads and, consequently,
estimating the optimal thermal insulation thickness. This model can be applied to various residential
buildings in Tehran, regardless of size, whether small or large.
The geometry information is divided into four distinct data points:
This category focuses on gathering data related to walls, windows, HVAC systems, and thermal insulation.
The thermal resistance value of the wall represents the assembly's ability to resist heat transfer between
the interior and exterior environments. For windows, the heat transfer coefficient (U-value) measures the
rate of heat transmission through the window assembly, while the solar heat gain coefficient (SHGC) indicates
the fraction of incident solar radiation that passes through the assembly. Additionally, the thermal conductivity
of the selected insulation material is required. Lastly, the coefficient of performance (COP) of the HVAC system
is needed to convert thermal loads into energy usage.
The material information is categorized into six key data points:
The calculation of the optimum thermal insulation thickness is based on the costs of energy and insulation materials.
First, users need to specify the types of energy used for the heating and cooling systems, along with the price of
each energy source per kWh. Next, they should input the cost of insulation material per 1 cm thickness for every
square meter.
The required price-related information is divided into three categories: