Experimental optimization of energy consumption for direct current refrigerator by PID controller tuning and comparison with ON/OFF refrigerator

Kassai, Miklós; Kajtár, László; Nyers, Jozsef

doi:10.2298/tsci170504188k

Cited by 10 publications

(6 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results showed that the coefficient of performance increased on average by about 13%, while the power consumption decreased on average by about 11%. Also, the thermodynamic characteristics of the proposed system were considerably improved [22].…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement by Using Wet Pad in Vapor Compression Cooling System

Zaidan

Ibrahim

Alkumait

2019

J. Eng. Technol. Sci.

View full text Add to dashboard Cite

Vapor compression cooling systems are widely used in hot and dry climates where the atmospheric temperature in summer reaches around 48 °C and the relative humidity can be below 20%. These cooling systems normally use environmentally friendly gases that do not harm the ozone layer. These systems work with high gas pressure, which consumes high energy and leads to a low coefficient of performance when compared to cooling systems that do not use an environmentally friendly gas. Theoretical and experimental studies have been conducted to find a suitable solution for the performance improvement of this type of cooling system. A possible solution is to lower the temperature of the air before it enters the condenser of the compression cooling system by passing it through a wet pad. The water evaporates due to the latent heat that is withdrawn from the wet pad. The air temperature is reduced to about 11 °C before it enters the condenser of the compression cooling system. This enhancement increases the cooling capacity of the vapor compression cycle by nearly 20% and increases the coefficient of performance by 15%, in addition to reducing the consumed electricity up to 15%. In conclusion, the proposed method of adding a wet pad can significantly enhance the performance of the vapor compression cooling system.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance Enhancement by Using Wet Pad in Vapor Compression Cooling System

Zaidan

Ibrahim

Alkumait

2019

J. Eng. Technol. Sci.

View full text Add to dashboard Cite

show abstract

“…Based on the experimental test data, the combined effects of electronic expansion valve, scroll compressor operation and the correct experimental settings of PID controller in DC refrigerator results around 62,4 % energy saving opposed to the traditional ON-OFF controlled appliance under the same operational conditions in the same cold store. The measured daily energy consumption was 14,65 kWh of the traditional ON-OFF system and 5,5 kWh of the PID controlled system [18].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover the model was further developed which takes into account also the types of compressors, feeder and control units used commonly in practice for energetic investigations. Further object is to validate the developed simulation model with measured data by experimental tests obtained during the previous phase of the research work [18][19].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the thermal behavior and energy consumption of refrigeration systems

Kassai

2021

THERM SCI

Self Cite

View full text Add to dashboard Cite

The object of this research study is to develop a thermal simulation model that can be used to investigate the thermal parameters of the refrigerant systems (with ON-OFF and PID control) used in cooling chambers. Moreover the model was further developed which takes into account also the types of compressors, feeder and control units used commonly in practice for energetic investigations. Using the measured energy consumption data obtained by experimental tests during the previous phase of this research work, the validation of the developed energy simulation model by MatLab R2016a could be also achieved with good agreement. MatLab software seemed to be the most appropriate tool for numerical investigations on the energy consumption of refrigeration systems used in commercial cold stores and transient behavior of the indoor air temperature of the cold store, cooling energy performance and consumed energy to the goods stored in cold store.

show abstract

“…Feedback linearization, Lyapunov stability theory, and adaptive control are some of the approaches that have been applied to the system [14].Some other control methods like model predictive control (MPC) are successfully applied in this field, but it is necessary to identify a suitable model for the system [15] and installation could be expensive. This means that an accurate dynamic model from the system is required and, considering the uncertainties, makes the problem very difficult to solve.On the other hand, conventional controllers like a proportional-integral-derivative (PID) controller, usually implemented in a feedback control scheme, are the most applied controllers in this area because of the simplicity of the control law and easy implementation in continuous-time [16][17][18]. The feedback control scheme depends heavily on feedback sensors, which have some disadvantages such as cost, reliability, and noise, which can affect the output of the system.…”

mentioning

confidence: 99%

“…On the other hand, conventional controllers like a proportional-integral-derivative (PID) controller, usually implemented in a feedback control scheme, are the most applied controllers in this area because of the simplicity of the control law and easy implementation in continuous-time [16][17][18]. The feedback control scheme depends heavily on feedback sensors, which have some disadvantages such as cost, reliability, and noise, which can affect the output of the system.…”

mentioning

confidence: 99%

Designing Intelligent MIMO Nonlinear Controller Based on Fuzzy Cognitive Map Method for Energy Reduction of the Buildings

et al. 2019

View full text Add to dashboard Cite

Designing a suitable controller for air-conditioning systems to reduce energy consumption and simultaneously meet the requirements of the system is very challenging. Important factors such as stability and performance of the designed controllers should be investigated to ensure the effectiveness of these controllers. In this article, the stability and performance of the fuzzy cognitive map (FCM) controller are investigated. The FCM method is used to control the direct expansion air conditioning system (DX A/C). The FCM controller has the ability to do online learning, and can achieve fast convergence thanks to its simple mathematical computation. The stability analysis of the controller was conducted using both fuzzy bidirectional associative memories (FBAMs) and the Lyapunov function. The performances of the controller were tested based on its ability for reference tracking and disturbance rejection. On the basis of the stability analysis using FBAMS and Lyapunov functions, the system is globally stable. The controller is able to track the set point faithfully, maintaining the temperature and humidity at the desired value. In order to simulate the disturbances, heat and moisture load changed to measure the ability of the controller to reject the disturbance. The results showed that the proposed controller can track the set point and has a good ability for disturbance rejection, making it an effective controller to be employed in the DX A/C system and suitable for a nonlinear robust control system. Nowadays, the use of different controllers on HVAC systems is considered as an important issue, with the aim of increasing the system performance, by reason of their high installation demand in buildings and their huge energy consumption.The direct expansion air-conditioning (DX A/C) system is considered as a subgroup of HVAC systems. The mentioned system has two types of units, window units and split units, which are frequently employed in small-to medium-sized buildings by reason of having a simple configuration, low cost maintenance, and higher energy efficiency [3,4].According to the authors of [2], energy efficacy and indoor thermal conditions are the main objectives one needs to take into account when designing HVAC or A/C systems. Because of the complicated features of HVAC and A/C systems, attaining the mathematical model of HVAC and air conditioning systems is intricate and difficult. Likewise, designing an appropriate controller becomes a big challenge [5,6]. HVAC system is a multiple-Input and multiple-output (MIMO) system, sometimes with coupled parameters [7]. Moreover, it is a complex nonlinear system, which makes deriving the exact mathematical model a challenging task [3]. Consequently, the control system must be able to deal simultaneously with cross-coupling effects, nonlinearity, and uncertainty of the system. The high energy consumption of these systems calls for an intelligent control system that can adjust the parameters according to the systems' demands, so that it could prevent energy loss and b...

show abstract

Experimental optimization of energy consumption for direct current refrigerator by PID controller tuning and comparison with ON/OFF refrigerator

Cited by 10 publications

References 14 publications

Performance Enhancement by Using Wet Pad in Vapor Compression Cooling System

Performance Enhancement by Using Wet Pad in Vapor Compression Cooling System

Investigation of the thermal behavior and energy consumption of refrigeration systems

Designing Intelligent MIMO Nonlinear Controller Based on Fuzzy Cognitive Map Method for Energy Reduction of the Buildings

Contact Info

Product

Resources

About