Review of Passive Cooling Techniques and Introduction of Artificial Intelligence for Optimising Passive Cooling of Buildings

Authors- Shashank R, Professor Dr. M. Rajagopal

Abstract-A Comfortable home with low energy consumption are the dream of ordinary people, governments and researchers. First, researchers are interested in lowering energy costs and reducing fossil fuel use. In the current state of energy and the environment, there is no need to demonstrate the necessity of reducing energy consumption by installing air conditioning. However, the motivation has now changed from these goals to reducing carbon dioxide emission from the environmental perspective. The internal temperature of the building depends on local conditions (outside temperature, wind speed, solar radiation, etc.), the geometry of the building (wall thickness, window-to-wall ratio) and the thermo physical properties of the building materials (thermal conductivity, specific heat capacity of the materials, etc.), indoor thermal load, air exchange rate. Passive cooling techniques can also be used to reduce the internal temperature of the building to ensure thermal comfort. Passive cooling techniques uses cautious microclimate design, shading and thermal capacitance to help to reduce cooling load requirement. Heat sinks such as air, ocean and earth surface are needed to dissipate the excess heat in the building to natural sink through convection, evaporation, radiation and also by earth cooling. The integration of artificial intelligence (AI) in passive cooling for buildings represents an innovative approach to enhancing energy efficiency and occupant comfort.

DOI: /10.61463/ijset.vol.12.issue6.339