Authors :
K. Bharathi; Jesira Farveen; A. Fameeha Zeenath
Volume/Issue :
Volume 7 - 2022, Issue 8 - August
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3QZqxej
DOI :
https://doi.org/10.5281/zenodo.7101106
Abstract :
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.
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.
