Title of article :
Reduce Energy Consumption by Optimizing Temperature and Enforcing Smart Rules in Residential Buildings
Author/Authors :
Daneshvar, Yazdan Department of civil engineering -Islamic Azad University Qazvin branch, Qazvin , Sabzehparvar, Majid Department of industrial engineering - college of engineering - Islamic Azad University Karaj branch, Karaj , Hashemi, Amir Hosein Department of civil engineering -Islamic Azad University Qazvin branch, Qazvin
Abstract :
In this article, to reduce energy consumption and manage its consumption in smart
residential buildings, considering the convenience of people, a set of rules for determining
intelligent temperature has been selected. For this purpose, expert rules and questionnaires have
been prepared and used to make the indoor temperature intelligent based on individuals' emotional
components, including clothing, outdoor temperature, age, body mass index, humidity, and the
number of inhabitants. For this purpose, the ideal temperature under normal conditions of 22
degrees Celsius is considered by existing standards. The standard for determining the thermal
indexes of PMV and PPD is used to validate the rules, and the result is acceptable compliance of
these rules with the existing standard. According to the intervals set for the characteristics used,
1215 rules are defined for this system. A dashboard has been prepared in Excel software to adjust
the temperature according to the existing rules, which is displayed as output by entering each
available data based on qualitative and quantitative amounts of appropriate temperature. To
evaluate the energy consumption, the two modes of temperature regulation with intelligent systems
and manual temperature regulation have been compared. Results. For example, manually adjusting
the temperature in 12 to 18 hours is a constant consumption pattern. By adjusting the temperature
of the expert system per second, the consumption pattern changes based on residents’ satisfy.
Keywords :
Energy consumption , intelligent temperature regulation , intelligent rules , energy optimization
Journal title :
Journal of Applied Dynamic Systems and Control