Application Analysis of eQUESTs Optimized Operation Strategy for Air Conditioning System

• Main Authors: Yi-Cheng Lin, 林益丞
• Other Authors: 李文興
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/3779pv

碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系 === 106 === With the global climate change and the tight supply and demand of energy, energy conservation and green energy have also become an important issue. In large-scale air conditioners, ice water hosts are the main energy-consuming devices. If you change the host logic, you can effectively Increasing energy-saving efficiency will inevitably enable major air-conditioning companies such as major corporations to introduce this type of control method. It is hoped that a reasonable inference model and software simulation method can be used to analyze a set of ice-water host groups that can meet environmental conditions such as outside air temperature. , to adjust the control mode of the boot sequence. In recent years, the application of software simulation energy consumption has received extensive attention. In recent years, building performance simulation software has been gradually applied to the evaluation of new building energy consumption design and the analysis of energy-saving transformation of old buildings. Therefore, the simulation results of simulation software are gradually required to be accurate and reliable. At present, there are many kinds of building performance simulation software on the market, and more well-known software including DOE-2, eQUEST, EnergyPlus, DeST, DesignBuilder and so on. This study simulates the power consumption of the ice water main unit of the air conditioning system using the eQUEST software. According to the existing building and climate data of the building, each ice water host is simulated in each temperature range from the summer temperature range of 26 to 38 °C. After the power consumption, the average COP value is calculated by calculating the power consumption of each ice water main unit, and the COP value of each ice water main unit is set up in a range of 100 tons per ton according to 31 combinations. Through the random forest algorithm of RStudio, the optimal power consumption of the ice-water host open-base combination under various loads is estimated. The energy-saving rate of the same combination of the same tonnage can reach 1.4~8.7%. This result proves that the ice water host is powered on. The importance of the strategy, such as the integration of the system analysis method with the monitoring software into the energy management system, according to the temperature and humidity measured by the monitoring equipment, the data is automatically imported by the simulation software and then analyzed systematically to achieve instant energy saving. The effect, if this technology can be deeply rooted, in addition to providing real operational strategies for equipment operators, it can also really reduce energy use.