Open AccessResearch on Optimal Control of Air Conditioning in College Classroom in Summer
Author(s) -
Yuan Yao,
Kun Yu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/603/1/012025
Subject(s) - trnsys , air conditioning , schedule , energy consumption , scheme (mathematics) , control (management) , population , optimal control , control theory (sociology) , computer science , mathematics , energy (signal processing) , simulation , engineering , statistics , mathematical optimization , artificial intelligence , medicine , electrical engineering , mechanical engineering , mathematical analysis , operating system , environmental health
Trnsys software was adopted to study the optimal control method of summer air conditioning system in college classrooms in this paper. Three schemes including schedule control, temperature control and population control were compared with each other. The simulation results show that the average temperature of the population control scheme is closest to the 26 °C for human comfort, and the mean square deviation of the temperature is also the smallest among three schemes. Energy consumption comparisons show that the total energy consumption of the population control scheme is the lowest among three schemes. Therefore, the population control scheme is considered to be the optimal control scheme in the air conditioning system of the college classrooms.