Theoretical model of the operation parameters regulated by the MIMO and SISO system in a cooling chamber

Matysko, R.

doi:10.1016/j.ijrefrig.2015.05.020

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…The difference is then used to adjust some input to the process in order to bring the process measured value back to its desired set point [6]. PID controller makes rapid and precise control possible [7][8][9][10][11]. This is also true in reality, provided that the system is correctly defined, taking disturbances into consideration accurately.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the thermal behavior and energy consumption of refrigeration systems

Kassai

2021

THERM SCI

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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.

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Section: Introductionmentioning

confidence: 99%

Investigation of the thermal behavior and energy consumption of refrigeration systems

Kassai

2021

THERM SCI

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“…Reduction in the energy consumption of refrigeration systems is crucial topic of the industry. The energy consumption is significant influenced by the type of the compressor, the control techniques of compressor, expansion valve and refrigerant [1][2][3]. In the study conducted by Ekren [4], performance of the variable speed operation and constant speed operation during ON and on/off mode of the same DC compressor has been compared.…”

Section: Introductionmentioning

confidence: 99%

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

Kassai¹,

Kajtár²,

Nyers³

2019

THERM SCI

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In this research the optimization of energy consumption for DC refrigerator used in commercial cold store was conducted. To achieve this object a test facility was installed into the introduction room of a national refrigeration company. Due to the imperfect data given by the producer, the proportional-integral-derivative controller of DC refrigerator had to be tuned by setting the correct proportional, integral and derivative parameter values to achieve optimal energetic operation. During the research the energy consumption of this system was compared with a very commonly used traditional refrigerator system on the home market operated by reciprocating compressor, mechanical expansion valve and on/off controller technic in the similar cooling capacity range. The combined effects of electronic expansion valve, scroll compressor operation and the correct experimental settings of proportional-integral-derivative 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.

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“…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].…”

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confidence: 99%

“…The humidity load generation in the air-conditioned room is M. According to the authors of [3], Equations (1)-(5) and (7), which are all first order differential equations, could form the dynamic model of the DX A/C system. On the basis of the work done by Qi [22], Equations (1)- (7) are used as a dynamic mathematical model of the experimental DX A/C system and have been experimentally validated.…”

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confidence: 99%

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

et al. 2019

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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...

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Theoretical model of the operation parameters regulated by the MIMO and SISO system in a cooling chamber

Cited by 4 publications

References 2 publications

Investigation of the thermal behavior and energy consumption of refrigeration systems

Investigation of the thermal behavior and energy consumption of refrigeration systems

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

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

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