Experimental Study of the Model Predictive Control for a Residential Split Air Conditioner

Bohara, Bharat; Pandey, Brijesh; Pungaliya, Rajat; Patwardhan, Sachin C.; Banerjee, Rangan

doi:10.1016/j.prime.2022.100099

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…At the times of 1,516 s, 2,863 s, and 3,575 s, the measured frequency decreased slightly to around 49.9 Hz, representing a minor 0.1 Hz drop from the prevailing 50 Hz value. However, this small decrease in frequency is considered acceptable and within normal operating limits for the inverter [10]. The stability of the output frequency at 50 Hz (±0.1 Hz) indicates steady and controlled operation of the inverter to generate the standardized Alternating Current power waveform [8].…”

Section: N V O T E Kmentioning

confidence: 94%

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Experimental Study of Cooling Performance and Electrical Parameters in a Microcontroller-Driven Inverter AC System

Negara,

Anakottapary,

Midiani

et al. 2023

INVOTEK

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Recent advancements in air conditioning (AC) technologies, such as inverters, enable the compressor to remain activated despite reaching the setpoint temperature. This study investigates the cooling performance and electrical parameters of a split inverter AC system controlled by a microcontroller in order to determine the operational performance characteristics of the air conditioning system. An ATmega 2560 microcontroller integrated with PZEM, DS18B20, and LCD I2C sensors monitors was 8,525 Btu/h capacity split inverter AC. During a 1-hour experimental run, the temperature differential between supply air (Tsupply) and return air (Treturn) stabilized at approximately 17 °C, with Tsupply reaching a minimum of 8.5 °C. Treturn remained relatively constant after 500 s with no fluctuations. Moreover, power draw maintained an average of 750 W (1 PK) with no variations, exhibiting an inverse relationship with Tsupply. The maximum energy consumption recorded during the experiment was 1,373 kWh. As expected based on fundamental thermodynamic principles, the energy usage showed a direct proportional relationship with the total runtime of the system. That is, the longer the AC system was engaged, the higher the total energy required to maintain the cooling effect. Overall, microcontroller-based split inverter AC enables real-time performance monitoring and efficient operation, representing a promising technology.

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Section: N V O T E Kmentioning

confidence: 94%

“…AC performance is affected by various factors such as usage factor, cooling load and refrigerant characteristic factor [10]. Hence, experimental studies regarding air conditionings are suggested to obtain performance in real conditions.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of Cooling Performance and Electrical Parameters in a Microcontroller-Driven Inverter AC System

Negara,

Anakottapary,

Midiani

et al. 2023

INVOTEK

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“…Overcoming these hurdles is crucial for successfully adopting and implementing Construction 4.0. Bohara B, Pandey B, Pungaliya R et al (2023) [ 44 ] The article presents an experimental study of the model predictive control (MPC) for a residential split air conditioner (AC). The paper proposes an MPC algorithm that optimizes AC operation based on indoor temperature, humidity, and thermal comfort.…”

Section: Omprehensive Literature Review On Buildings Energy Systemsmentioning

confidence: 99%

Green building energy: Patents analysis and analytical hierarchy process evaluation

Alharasees,

Kale,

Rohacs

et al. 2024

Heliyon

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“…The HVAC industry's progress has enhanced lives, but it has also raised energy usage and carbon dioxide emissions. The proportion of air conditioning energy consumption in high-end office buildings and residential neighborhoods is more than 35% [1], The previous control algorithms were too basic to dynamically adapt to load changes in individual rooms, resulting in reduced control effectiveness. In this paper, we take the temperature data of an elevator machine room measured in a field as an example to design a variable theory domain fuzzy PID controller.…”

Section: Introductionmentioning

confidence: 99%

Application of Variable Theory Domain Fuzzy Control Algorithm for Room Temperature Control

Li,

Ahmat,

Cao

et al. 2023

J. Phys.: Conf. Ser.

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With the development of automatic control in the HVAC industry, more and more buildings have adopted automatic control of air conditioning, HVAC systems, but most of the control results can not be satisfactory. The research object of this paper is the elevator machine room equipped HVAC, through accurate control of that room temperature can greatly reduce the elevator shutdown caused by the action of the temperature protection circuit, so as to improve the safety of elevator operation. This paper gives three different temperature control methods, establishes the math representation of the temperature system in the machine room, specifically designs the classical PID controllers, Fuzzy PID controllers and variable domain Fuzzy PID controller, and simulates and analyzes the three algorithms respectively, The results indicate that in comparing the above three algorithms, the variable domain fuzzy PID algorithm has an adjustment time of 63s, and the overshooting amount of 0.4%, which is the best among the three control algorithms.

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Experimental Study of the Model Predictive Control for a Residential Split Air Conditioner

Cited by 4 publications

References 20 publications

Experimental Study of Cooling Performance and Electrical Parameters in a Microcontroller-Driven Inverter AC System

Experimental Study of Cooling Performance and Electrical Parameters in a Microcontroller-Driven Inverter AC System

Green building energy: Patents analysis and analytical hierarchy process evaluation

Application of Variable Theory Domain Fuzzy Control Algorithm for Room Temperature Control

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