A Study on the Analysis of Energy Consumption According to Economizer Control Method

김효준,; 조영흠,

doi:10.21086/ksles.2016.04.23.2.251

Cited by 2 publications

(2 citation statements)

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“…Cooling energy can be saved when the HVAC system is operated by an economizer control. When the system is operated by enthalpy control, more energy can be saved compared to dry-bulb temperature control [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Predictive Model for the Optimized Mixed-Air Temperature of a Single-Duct VAV System

Lee

Cho

2022

Applied Sciences

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As global warming accelerates due to greenhouse gas emissions, more efforts are required to reduce greenhouse gas emissions. One of the methods used to save building energy is the efficient management of building mechanical systems. The economizer control of HVAC systems is an energy-efficient measure that improves operating methods by introducing outdoor air to save cooling energy when the outdoor-air temperature is sufficiently low. When the HVAC system is operated using economizer control, cooling energy can be saved, and the set-point of the mixed-air temperature is kept constant. Several studies are being conducted on the saving of energy using economizers. Although various studies have been conducted on the control of economizers, there is insufficient research dealing with the optimal control of mixed-air temperature in economizers that consider real-time changes. Therefore, in this study, predictive model-based mixed-air temperature optimization for a single-duct VAV system was constructed. For this, an ANN (Artificial Neural Network) that could be analyzed regardless of the variables was applied to predict the load and energy consumption and a simulator was constructed for the optimized mixed air temperature of the system. The predictive model-based control was evaluated in terms of its thermal comfort and energy, along with the existing economizer control. According to the application of the optimal economizer control, the energy consumption of the building was reduced by 28.9% compared to the existing dry-bulb temperature control, and was within ±1 °C of the indoor-air temperature set point.

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Section: Introductionmentioning

confidence: 99%

Predictive Model for the Optimized Mixed-Air Temperature of a Single-Duct VAV System

Lee

Cho

2022

Applied Sciences

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“…According to the economizer control method, the indoor air quality, heat environment, outdoor air introduction rate, and energy consumption according to the outdoor temperature were analyzed. As a result, both control methods satisfied the indoor thermal environment and air quality, but enthalpy control saved more energy than dry-bulb temperature control [11]. Choi evaluated the simulation cases based on the economizer control methods applicable to the Energy Plus for office buildings.…”

Section: Introductionmentioning

confidence: 99%

Development of Economizer Control Method with Variable Mixed Air Temperature

Lee

Kim

et al. 2018

Energies

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Achieving energy efficiency by improving the operating method of the system used in existing buildings is attracting considerable attention. The Building Design Criteria for Energy Saving was established to induce energy saving design in the domestic construction field, and the introduction of a free-cooling system, such as an economizer system, as an item of the mechanical sector, was evaluated. The economizer is an energy saving method that reduces the building load by introducing outdoor air through damper control according to the indoor and outdoor conditions. The system consists of dry-bulb temperature control and enthalpy control and the mixed air temperature is kept constant in the conventional economizer controls. On the other hand, in dry-bulb temperature control, when the set value of the mixed air temperature is changed according to the load, additional energy savings are expected compared to the conventional control method. Therefore, this paper proposes an economizer control that makes the mixed air temperature variable according to the load in a Constant Air Volume single duct system. For this, a load prediction is needed and an Artificial Neural Network is used for the load prediction. In addition, the relationship between the mixed air temperature and energy were analyzed using the BIN method and TRNSYS 17. Based on the results of previous analysis, a control method which predicting the load using Artificial Neural Network and controlling the mixed air temperature according to the predicted load in the dry-bulb temperature control of a Constant Air Volume single duct system is proposed and the proposed control was applied to the dynamic simulation program and compared with the conventional control. The results show that the temperature of each room was 21–23 °C in summer and 22.5–26 °C in winter when the economizer was controlled using the proposed control method and the energy consumption analysis showed that 19% of the energy was reduced compared to the conventional method when the proposed method was controlled.

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A Study on the Analysis of Energy Consumption According to Economizer Control Method

Cited by 2 publications

References 0 publications

Predictive Model for the Optimized Mixed-Air Temperature of a Single-Duct VAV System

Predictive Model for the Optimized Mixed-Air Temperature of a Single-Duct VAV System

Development of Economizer Control Method with Variable Mixed Air Temperature

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