scholarly journals Experimental Study Performance R-22 AC Split Retrofitted With Propane

2018 ◽  
Vol 159 ◽  
pp. 02021 ◽  
Author(s):  
Imam Ridwan Tanaka ◽  
Berkah Fajar ◽  
Tony Suryo Utomo ◽  
Eflita Yohana ◽  
Mustaqim
Keyword(s):  
Experimental Study ◽  
Global Warming ◽  
Power Consumption ◽  
Flow Rate ◽  
Cooling Capacity ◽  
Air Conditioner ◽  
Air Conditioners ◽  
Main Components ◽  
Study Performance

Refrigerant 22 or called R-22 is still the most widely used for air conditioners. However, since it has a relatively high global warming properties, the use of R-22 should be stopped. Refrigerant 290 briefed as R-290 (propane) is the type of refrigerant recommended by many experts for R-22 replacements because the global warming properties of R290 are much lower than R-22. Therefore, in this study the cooling capacity, flow rate mass, power consumed and COP will be evaluated. The air conditioner engine used in this research has 1 PK capacity which is redesigned by adding separator / ducting on various main components of AC. From the result of the study, there are several conclusions revealed: on the same compressor capacity, R-22 cooling capacity is still greater than R290. Meanwhile, the flow rate of R290 is lower than R-22. For power consumption from R-290, it is smaller than R-22. For the value of COP R-290, the value shows greater ie at R-290 on the variation of Incoming Temperature In Evaporator 20°C = 6.23, 23°C = 6.36, 25°C = 6.86, 29°C = 6.20. While at R-22, it shows 20°C = 5.36, 23°C = 6.02, 25°C = 5.76, 29°C = 6.335

Performance Comparison of Automotive Air Conditioner Using Various Refrigerants

2015 ◽  
Vol 1125 ◽  
pp. 561-565
Author(s):  
Vina Serevina ◽  
Sumeru ◽  
Azhar Abdul Aziz ◽  
Henry Nasution
Keyword(s):  
Global Warming ◽  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Compression Ratio ◽  
Cooling Capacity ◽  
Performance Comparison ◽  
Working Fluid ◽  
Air Conditioner ◽  
Ambient Temperatures

Working fluid of R134a is widely used as a refrigerant in automotive air conditioner. This refrigerant has a good performance on the automotive air conditioner. However, because R134a still has a high global warming potential, this refrigerant must be reduced and replaced by environmentally friendly refrigerants. Hydrocarbons of R600a, R290 and their mixtures are widely used as substitute refrigerant. These refrigerants are natural fluids, no effect on the climate, inexpensive and readily available. There are three performances will be discussed in the present study, namely COP, mass flow rate and compression ratio. The present study investigates the effect of three refrigerants, i.e. R134a, R600a and R290 on the performance of automotive air conditioner. The results show that the COP of R600a is higher than those R134a and R290. For the same cooling capacity, the mass flow rate of R600a is approximately 50% of R134a for all ambient temperatures. In addition, the compression ratio of R600a is lower than that of R134a.

Test Analysis of Performance of the Direct Evaporative Cooling Air Conditioners

2013 ◽  
Vol 827 ◽  
pp. 298-301
Author(s):  
Jian Zhang
Keyword(s):  
Relative Humidity ◽  
Evaporative Cooling ◽  
Cooling Capacity ◽  
Cooling Efficiency ◽  
Air Conditioner ◽  
Test Analysis ◽  
Air Conditioners ◽  
Direct Evaporative Cooling ◽  
Cooling Air ◽  
Analysis Of Performance

The direct evaporative cooling conditioner experimental research is carried out in this paper. Analyze the influence of inlet air dry ball temperature and relative humidity to air conditioner cooling capacity and cooling efficiency, which has certain guiding significance to improve the direct evaporative cooling air conditioner performance.

scholarly journals Impacts of Room Temperature on the Performance of a Portable Propane Air Conditioner

2015 ◽  
Vol 23 (02) ◽  
pp. 1550015 ◽  
Author(s):  
Ahmad Sharifian ◽  
Jeri Tangalajuk Siang
Keyword(s):  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Room Temperature ◽  
Capillary Tube ◽  
Cooling Capacity ◽  
Coefficient Of Performance ◽  
Air Conditioner ◽  
Charge Condition ◽  
Full Charge

The performance of a portable propane air conditioner system, in which the temperatures of the air passing over the condenser and evaporator are equal, has been experimentally investigated under different room temperatures and refrigerant charge levels. The research has been carried out in a range of room temperatures from 20°C to 35°C and in undercharge, standard charge and overcharge conditions. The results show that, at higher room temperatures, the refrigerant temperature in all parts of the system, the density of the refrigerant at the inlet and outlet of the condenser, mass of the refrigerant in the compressor, the mass flow rate of the refrigerant and the cooling capacity of the system in either the undercharge or full charge condition, the specific cooling capacity of the undercharge system, the useful work of the compressor, and the maximum pressure of the refrigerant increase. The increase in room temperature decreases the density of the refrigerant at the inlet and outlet of the capillary tube, the mass of the refrigerant in the capillary tube, the refrigerant subcooling at the inlet of the capillary tube, the maximum velocity of the refrigerant and the coefficient of performance. In addition, the increase in room temperature at overcharge condition causes an increase in the mass flow rate, cooling capacity and specific cooling capacity to a maximum value followed by their decrease. The most important difference between a portable air conditioner and a nonportable system is the increase in cooling capacity with an increase in room temperature in full charge condition.

scholarly journals Energy Saving in Split Air Conditioner using Evaporative Cooling Pad at the ODU

2019 ◽  
Vol 9 (1) ◽  
pp. 1858-1862
Keyword(s):  
Power Consumption ◽  
Performance Improvement ◽  
Air Conditioning ◽  
Evaporative Cooling ◽  
Cooling Capacity ◽  
Air Conditioner ◽  
Optimum Thickness ◽  
Outdoor Air ◽  
Air Conditioning System ◽  
Overall Performance

The objective of the study is to investigate the performance improvement in a split air conditioning system using evaporative cooling pads at ODU (outdoor unit) and to determine optimum thickness and material of the cooling pad. For this purpose experiments were conducted on 0.8 TR capacity split air conditioner charged with refrigerant R-22. For comparison experiments were performed with and without evaporative cooling pad. The effect of the different cooling pad material and thickness on the overall performance of split air conditioner is experimentally found by measuring cooling capacity and the power consumption of the system including water circulation pump. From the experimental work it is found that the cellulose cooling pad gives the best results among the selected materials. Split air conditioner coupled with cellulose cooling pad of 100 mm thickness at ODU results in to 13.8% increase in overall COP, 9.5 % reduction in power consumption and 5.1 % increase in cooling capacity at 35°C DBT and 32% relative humidity outdoor air condition.

scholarly journals Rancang Bangun Aplikasi Sistem Pakar Berbasis Android untuk Mendeteksi Kerusakan pada Air Conditioner (AC)

Jurnal INFORM ◽  
2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Rinabi Tanamal
Keyword(s):  
Expert System ◽  
Air Conditioning ◽  
Air Conditioner ◽  
Android Application ◽  
Air Conditioners ◽  
Forward Chaining ◽  
Air Temperatures ◽  
Main Components ◽  
The Right ◽  
Electrical Components

Abstract— Air Conditioner (AC) is a system or machine designed to stabilize the air and air temperatures that cover a certain area. This study discusses how to find ways to improve Android-based system applications for air protection in Air Conditioning (AC), this method is used as a support in making decisions on damage to Air Conditioner (AC) on the main components, supporting components, electrical components and cooling materials (Refrigerant) in Air Conditioner (AC). To design the application, an expert system is needed. Expert system itself is a computer system that emulates the ability of human expertise (Sri Hartati and Sari Iswanti, 2008: 152). The purpose of this study is to be able to produce an expert system application that can help technicians to improve damage to the Air Conditioner (AC) so that users of Air Conditioning (AC) can also understand the damage that occurs in Air Conditioners (AC). The research inference method used in this expert system uses the Android-based Forward Chaining method. Forward Chaining is a strategy in finding data by collecting data or facts which will then be concluded to find the right solution or event to solve a problem. The shell expert system used is McGoo which will then be adopted into the Thunkable Android application. With the existence of this expert system aims to identify damage to the Air Conditioner (AC) and used as material in making decisions to help the users, especially the technicians in diagnosing the damage that is in the Air Conditioner (AC). The results of this study indicate that the existence of a hierarchy of decisions to detect damage to the Air Conditioner (AC) can be applied in the society and from the results of application testing it can be concluded that the application of this expert system will be a tool for users of Air Conditioners and technicians to diagnose damage to Air Conditioner (AC). 

scholarly journals Deep Learning-Based Method for Detection of External Air Conditioner Units from Street View Images

2021 ◽  
Vol 13 (18) ◽  
pp. 3691
Author(s):  
Fei Yang ◽  
Meng Wang
Keyword(s):  
Feature Extraction ◽  
Global Warming ◽  
Deep Learning ◽  
Heat Waves ◽  
Human Life ◽  
Training Dataset ◽  
Air Conditioner ◽  
Air Conditioners ◽  
Street View ◽  
Investigation Methods

Heat waves may negatively impact the economy and human life under global warming. The use of air conditioners can reduce the vulnerability of humans to heat wave disasters. However, air conditioner usage has been not clear until now. Traditional registration investigation methods are cumbersome and require expensive labor and time. This study used a Labelme image tagging tool and an available street view images database to firstly establish a monographic dataset to detect external air conditioner unit features and proposed two deep learning algorithms of Mask-RCNN and YOLOv5 to automatically retrieve air conditioners. The training dataset used street view images in the 2nd Ring Road area of downtown Beijing. The model evaluation mAP of Mask-RCNN and YOLOv5 reached 0.99 and 0.9428. In comparison, the performance of YOLOv5 was superior, which is attributed to the YOLOv5 model being better at detecting smaller target entities equipped with a lighter network structure and an enhanced feature extraction network. We demonstrated the feasibility of using street view images to retrieve air conditioners and showed their great potential to detect air conditioners in the future.

AN EXPERIMENTAL STUDY OF SEMICONDUCTOR PROCESS CHILLER USING INDIVIDUAL AND DUAL COMPRESSOR METHOD

2011 ◽  
Vol 19 (03) ◽  
pp. 195-201 ◽  
Author(s):  
DONG AN CHA ◽  
OH KYUNG KWON ◽  
MYUNG DO OH
Keyword(s):  
Experimental Study ◽  
Power Consumption ◽  
Cooling Capacity ◽  
New Model ◽  
Excessive Heat ◽  
Precise Control ◽  
Control Precision ◽  
Chamber Temperature ◽  
High Power Consumption ◽  
Operation Control

Excessive heat occurs during the semiconductor manufacturing process. Thus, precise control of temperature is required to maintain constant chamber temperature and also wafer temperature in the chamber. Compared to an industrial chiller, a semiconductor chiller's power consumption is very high due to its continuous operation for a year. Considering the high power consumption, it is necessary to develop an energy efficient chiller by optimizing operation control. Therefore, in this study, a semiconductor chiller is experimentally investigated to suggest an energy-saving direction by conducting load change, controlling the temperature's rise and fall and controlled precision experiments. The experimental study shows how the cooling capacity of new model chiller rises over 30% compared to the old model chiller. The time and power consumption in the temperature rising experiments are 43 min and 8.4 kWh, respectively. The control precision is the same as ± 1°C, at 0°C, in any case. However, it appears that the new model channel's control precision improves to ± 0.5°C when the setting temperature is over 30°C.

Charge Optimization in Window Air Conditioner with Commercial LPG (Hydrocarbon Blend)

2021 ◽  
pp. 2150020
Author(s):  
Saurabh Gupta ◽  
Srinivas Pendyala
Keyword(s):  
Global Warming ◽  
Simulation Study ◽  
Cooling Capacity ◽  
Air Conditioner ◽  
Charge Reduction ◽  
Capillary Length ◽  
Experimental Assessment ◽  
Safety Standards ◽  
Test Conditions ◽  
Optimum Charge

In this paper, the window air conditioner performance with commercial LPG as a replacement of HFC134a is assessed with modified capillary lengths for charge optimization. Global Warming Potential (GWP) of commercial LPG is only three, which is neglected compared to HFC134a (1300). Flammability issues will also be reduced in charge optimization and adopting safety standards. Initially, baseline tests are conducted with HFC134a and commercial LPG in the existing system, and optimum refrigerant charge is determined. The simulation study is conducted with modified capillary lengths for charge reduction of commercial LPG. Experimental assessment is conducted for the charge optimization as per IS 1349 (Part 1) for low ambient test conditions (Domestic Test-DT and Export Test A-ETA) and high ambient test conditions (Export Test B-ETB). With the optimized capillary length and optimum charge quantity, 0.4–2.03% higher cooling capacity, 0.62–8.9% lesser power consumption, and 10.49–16.4% higher COP are achieved with commercial LPG than that of HFC134a baseline at low and high ambient test conditions, respectively.

Prediction of Performance Equations for Household Compressors Depending on Manufacturing Data for Refrigerators and Freezers

2016 ◽  
Vol 818 ◽  
pp. 184-209
Author(s):  
Louay Abdalazez Mahdi ◽  
Emad Esmaael Habib ◽  
Laith Abdalmunam
Keyword(s):  
Power Consumption ◽  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Cooling Capacity ◽  
Surface Fitting ◽  
Temperature Cycle ◽  
Evaporator Temperature ◽  
Base Points ◽  
Swept Volume

A semi-empirical model has been investigated to represent household compressors. The model based on calorimeter data for two distinguished brand (Danfoss and Electrolux CUBIGEL) and compared with eight brands consisting of ninety compressors model. The calorimeter data are correlated (according to ARI standard 540-90 [1] and working refrigeration temperature cycle for ASHRAE Technical Committee 8.9[2]) as a function of refrigerant saturated evaporating temperatures from (-35 to 10) °C and swept volume range (2.24-11.15) cm3 keeping of the refrigerant saturated condensing temperature constant at 54.5 °C. The correlations were found with ten-coefficient polynomial by using Matlab software – surface fitting method for cooling capacity, power consumption, and refrigerant mass flow rate.In addition, other equations for cooling capacity, power consumption, and refrigerant mass flow rate at-23.3 °C evaporator temperature, 54.4 °C condenser temperature, and 32 °C temperature for liquid line which is the base points of the refrigerator cycle according to ASHRAE[2] , cover the range (2.42-11.15) cm3 swept volume which are created to quick choose the proper compressor.The result indicated that the surface fitting models are accurate within ± 15% deviation of compressors data of seventy-two models for cooling capacity, fifty models for power, and twenty-five models for refrigerant mass flow rate.

Performance Study of the Household Air Conditioner under Extreme Climate Conditions

2013 ◽  
Vol 860-863 ◽  
pp. 1607-1611
Author(s):  
Xin Zhao ◽  
Wei Ting Jiang ◽  
Wei Guo Pan ◽  
Jun Li ◽  
Su Liu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Cooling Capacity ◽  
Air Conditioner ◽  
Outdoor Temperature ◽  
Performance Study ◽  
Climate Conditions ◽  
Air Conditioners ◽  
Extreme Climate ◽  
Outdoor Climate ◽  
Future Direction

This paper used physical modeling method to simulate the running state of each component of the air conditioner, got the ideal conditions of air conditionor energy consumption model and then calibrated and corrected the model of the air conditioner energy consumption by the experimental data. After utilizing the model for the performance analysis of the actual air conditioner, it was found that the extreme outdoor climate would affect the performance of the air conditioner. In summer, the electricity required to produce the same amount of cooling capacity will be 210% compared with 30°C of outdoor temperature, when the outdoor temperature is 50 °C; In winter, the drop of outdoor temperature will seriously impact on the energy efficiency of air conditioner, when the outdoor temperature is-5°C the electricity required to produce the same amount of cooling capacity will be 150% compared with 10 °C of outdoor temperature. It is of great significance that the results shown in this research contributes to the analysis of air conditioner in extreme conditions, and amended energy consumption of the model can not only forecast the performance of household air conditioners under the extreme climate but also indicate the future direction of air conditionersdesign and improvement.

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