Reduce Energy Consumption by Optimizing Temperature and Enforcing Smart Rules in Residential Buildings
محورهای موضوعی : Mechanical Engineering
Yazdan Daneshvar
1
(Department of civil engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran.)
Majid Sabzehparvar
2
(Department of industrial engineering collage of engineering, karaj branch, Islamic Azad University, Karaj. Iran.)
Seyed Amir Hossein Hashemi
3
(Department of civil engineering, Qazvin branch,
Islamic Azad University, Qazvin, Iran.)
کلید واژه: energy consumption, Energy optimization, intelligent temperature regulation, intelligent rules,
چکیده مقاله :
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 PMV4 and PPD5 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.
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