Supply airflow control algorithm of a floor-standing room air-conditioner to achieve thermal comfort for residential housing in summer

2013 ◽  
Vol 59 ◽  
pp. 227-238 ◽  
Author(s):  
Jeong-Hoon Yang ◽  
Taeyeon Kim ◽  
Chang Heon Cheong
Keyword(s):  
Thermal Comfort ◽  
Control Algorithm ◽  
Air Conditioner ◽  
Residential Housing

Investigation of the cooling performance and thermal comfort for 4-way cassette air conditioner with swinging motion of vanes

2021 ◽  
Vol 35 (4) ◽  
pp. 1757-1770
Author(s):  
Ho Yeon Choi ◽  
Jae Hyun Oh ◽  
Man Su Park ◽  
Sai Kee Oh ◽  
Yong Gap Park ◽  
...  
Keyword(s):  
Thermal Comfort ◽  
Air Conditioner ◽  
Cooling Performance

scholarly journals Efficiency Enhancement on Thermal Comfort Assessment of Indoor Space with Air-Conditioner Using Computational Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Yu-Tuan Chou ◽  
Shao-Yi Hsia ◽  
Bi-Wen Lee
Keyword(s):  
Taguchi Method ◽  
Thermal Comfort ◽  
Flow Simulation ◽  
Successful Implementation ◽  
Outlet Temperature ◽  
Air Conditioner ◽  
Indoor Space ◽  
Factorial Method ◽  
Operation Conditions ◽  
Full Factorial

Thermal comfort providing is one of the biggest uses of energy in building. For giving better human comfort, the suitable operation conditions of air-conditioner are the most important. The quick and right approach is necessary. In this paper, a small office is studied to improve office staff staying for a long period of time and achieve the thermal comfort environment for reducing energy consumption. Commercial software, Solidworks, is utilized for modeling the facilities and the Flow Simulation module for analyzing the air properties of the indoor space. Four types of air-conditioner operation are applied to set the simulated conditions, including exterior temperature, outlet temperature and wind speed of air-conditioner, and location of air-conditioner. Predicted mean vote (PMV) and predicted percent dissatisfied (PPD) at specific office areas are further acquired through dynamic anthropometry. For seeking the optimal control factors, both of the full factorial method and Taguchi method are utilized to obtain the PMV of specified location. The analyzed result shows the evaluation speed of indoor thermal comfort by Taguchi method is faster than the full-factorial method. It is concluded that software simulation with Taguchi method shows the successful implementation and higher efficiency for thermal comfort assessment.

scholarly journals Personal Atmosphere: Estimation of Air Conditioner Parameters for Personalizing Thermal Comfort

2020 ◽  
Vol 10 (22) ◽  
pp. 8067
Author(s):  
Tomohiro Mashita ◽  
Tetsuya Kanayama ◽  
Photchara Ratsamee
Keyword(s):  
Machine Learning ◽  
Thermal Comfort ◽  
Air Temperature ◽  
Fine Tuning ◽  
Air Conditioner ◽  
Data Set ◽  
Air Conditioning System ◽  
Air Conditioners ◽  
Uniform Distributions ◽  
Machine Learning Model

Air conditioners enable a comfortable environment for people in a variety of scenarios. However, in the case of a room with multiple people, the specific comfort for a particular person is highly dependent on their clothes, metabolism, preference, and so on, and the ideal conditions for each person in a room can conflict with each other. An ideal way to resolve these kinds of conflicts is an intelligent air conditioning system that can independently control air temperature and flow at different areas in a room and then produce thermal comfort for multiple users, which we define as the personal preference of air flow and temperature. In this paper, we propose Personal Atmosphere, a machine learning based method to obtain parameters of air conditioners which generate non-uniform distributions of air temperature and flow in a room. In this method, two dimensional air-temperature and -flow distributions in a room are used as input to a machine learning model. These inputs can be considered a summary of each user’s preference. Then the model outputs a parameter set for air conditioners in a given room. We utilized ResNet-50 as the model and generated a data set of air temperature and flow distributions using computational fluid dynamics (CFD) software. We then conducted evaluations with two rooms that have two and four air conditioners under the ceiling. We then confirmed that the estimated parameters of the air conditioners can generate air temperature and flow distributions close to those required in simulation. We also evaluated the performance of a ResNet-50 with fine tuning. This result shows that its learning time is significantly decreased, but performance is also decreased.

Fluid Flow and Heat Transfer Induced by a Window Air Conditioner Unit and Associated Thermal Comfort

2005 ◽  
Author(s):  
Hamza Begdouri ◽  
Luis Rosario ◽  
Muhammad M. Rahman
Keyword(s):  
Thermal Comfort ◽  
Comfort Level ◽  
Cfd Modeling ◽  
Air Distribution ◽  
Air Conditioner ◽  
Surface Areas ◽  
Air Supply ◽  
Office Rooms ◽  
Inlet Angle ◽  
The Impact

This study considers airflow simulations to evaluate the impact of different window air-conditioner locations on the thermal comfort in an office rooms (OR). This paper compares the air distribution for an office room by using computational fluid dynamics (CFD) modeling. The air distribution was modeled for a typical office room window air conditioning unit, air supply from a high pressure on the top and the low pressure exhaust on the bottom considering the existing manufacturing ratios for surface areas. Calculations were done for steady-state conditions including an occupant and a light source. The discharge angle for the supply grill of the AC unit was varied from 20 to 40 degrees. The position of the air conditioner was also varied and studied at 60%, 75% and 90% of the total height of the room. In addition the location of the occupant within the office room was varied. Predictions of the air movement, room temperature, room relative humidity, comfort level, and distribution of contaminants within the office room are shown. Analysis of these simulations is discussed. The positions of the air-conditioner unit, the inlet angle and the occupant position in the office room have shown to have important impacts on air quality and thermal comfort. Results are in good agreement with available experimental data.

Indoor Thermal Environment Test and Investigation Analysis—Based on Newly-Built Residential Houses in Daping Village, Sichuan Province

2011 ◽  
Vol 368-373 ◽  
pp. 3667-3671
Author(s):  
Hui Cheng ◽  
Jia Ping Liu ◽  
Da Long Liu ◽  
Fang Wei Tang ◽  
Yun Gang An
Keyword(s):  
Thermal Comfort ◽  
Thermal Environment ◽  
Building Design ◽  
Sichuan Province ◽  
Objective Test ◽  
Environment Design ◽  
Residential Housing ◽  
Indoor Thermal Environment ◽  
Indoor Thermal Comfort ◽  
Housing Environment

Based on the recognition of original defective residential housing environment in Daping village, constructional measures were improved and updated. Objective test and subjective investigation on indoor thermal comfort were carried out and analyzed in the typically new and old residential houses to propose measures for further improvements. This paper aims to summarize experience and deficiencies in aspects of indoor thermal environment design and to provide reference to building design after disasters in future.

scholarly journals Assessing cooling energy of insulated building built in tropical country

2021 ◽  
Vol 881 (1) ◽  
pp. 012016
Author(s):  
R C P Sigalingging
Keyword(s):  
Global Warming ◽  
Energy Consumption ◽  
Thermal Comfort ◽  
Air Conditioner ◽  
Total Energy Consumption ◽  
Tropical Country ◽  
Fossil Energy ◽  
Global Concern ◽  
Building Practice ◽  
Fossil Fuel Energy

Abstract Global warming is a huge issue and has become a global concern lately. The global warming issue is gaining more attention on reducing fossil energy since fossil energy has significantly exacerbated global warming. Since housing sectors are consuming significant fossil fuel energy, reducing housing energy consumption is necessary. One option discussed in this paper is to reduce the load on the air conditioner (AC) by applying insulation to the building. Reducing the AC energy will reduce the total energy consumption in the buildings. Building practice in a mild climate has shown that good insulation can reduce heating or cooling energy in the building. But using insulation in housing is not a common practice in Indonesia’s construction sectors. Simulating the use of insulation in housing will show how much energy reduction will be obtained, especially for air conditioning energy. The analysis in this study found that thermal comfort is related to air temperature and relative humidity in the room. This article will study the reliability of using insulation in buildings to reduce energy consumption and provide thermal comfort for the occupant.

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