Temperature, Exposure to air and cooling is the main foundation of housing force expenditure. We make obvious how to use cheap and simple sensing technology to automatically sense residence and sleep pattern in a domicile, and how to use these patterns to save energy by automatically turning off the home’s system. We call the smart Thermostat in home appliances. The simulation has been applied to a residential building with a certain number of rooms, each with specific characteristics pertaining to volume, occupancy, and thermostat set point. The deliberation of variables associated to the building envelope and weather, and they have provided a realistic view that permits the accurate estimation of annual energy usage and costs. The main findings are imitated in the sensitivity analysis that estimates energy use and that operate based on occupancy levels in various times of the year. When, the weather pattern could change significantly with reverence to time, under the usual weatherization levels of the building. The most important conclusion is that, upon analyzing the results of the sensitivity analysis, specifically with reverence to the operations of the thermostats and occupancy levels under endless building envelope characteristics, decision makers will be able to integrate energy efficiency measures and infrastructure enhancements over time, in order to save energy and cost.

Keywords : Thermostat, simulation, weatherization, sensitivity analysis.