Energy conservation possibilities in heating ventilating air conditioning system using fuzzy logic

Gokilaveni, S.; Loganthurai, P.

doi:10.1109/isco.2015.7282343

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…Majority of the proposed techniques are based on only fuzzy rule formation [31]- [44]. Generally, fuzzy controllers are implemented without considering external parameters and thermal noises affecting the performance of an air conditioning load [38]- [40]. As far as power consumption is concerned, most of the papers are based on implementation of fuzzy controller only.…”

Section: Figure 1: Fuzzy Logic System (Fls) Block Diagrammentioning

confidence: 99%

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Fuzzy Logic-Based Direct Load Control Scheme for Air Conditioning Load to Reduce Energy Consumption

et al. 2020

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A huge body of research is concentrated on developing advance load control strategies for reducing energy consumption and ensuring smooth operation of power system. Air conditioning loads are considered major energy consuming electrical loads in residential and business buildings, and that may cause significant rise in energy consumption. This paper presents an implementation of fuzzy controller with different number and shapes of membership functions for smoothing energy consumption of an air conditioning load while dealing with thermal disturbances. Simulations are conducted in MATLAB Simulink and the results demonstrate that the fuzzy controller with triangular membership function gives the desired performance with an error of less than 1% and saves 25% energy consumption. The obtained results are found effective in terms of smoothing energy consumption pattern of an air conditioning load without compromising consumer's comfort. Performance of the designed controller is also compared with different controllers including self-tuning adaptive fuzzy controller, linear quadratic regulator (LQR) and nonlinear controllers. The presented fuzzy controller stands-out in terms of desired performance, simplicity and implementation.

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Section: Figure 1: Fuzzy Logic System (Fls) Block Diagrammentioning

confidence: 99%

“…[39] proposes a fuzzy controller to control the compressor and fan. Cooling and heating valves are controlled through fuzzy controller whose inputs are temperature and humidity [40], [41], [58]. A new concept of using two fuzzy logic controllers is explained in [42].…”

Section: A Fuzzy Logic Controllersmentioning

confidence: 99%

Fuzzy Logic-Based Direct Load Control Scheme for Air Conditioning Load to Reduce Energy Consumption

et al. 2020

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Design of a Microcontroller-Based Heating System Controller Using Fuzzy Logic

Sakacı

Yener

2021

2021 Innovations in Intelligent Systems and Applications Conference (ASYU)

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Humidity Control Scheme for Chicken Chick Banda for Improved Performance using Particle Swarm Optimization

Ogutu¹,

Oyie²,

Ojenge³

2022

IJEAT

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The research is about developing of prototype Humidity control unit of a chicken chick Banda for maximum reduction in energy wastage and ensuring conducive environmental condition for bird’s growth and development using the proportional integral differential (PID) controller and the particle swarm optimization (PSO) technique for comparison purposes. The PSO stated here in is a stochastic optimization method working on the movement of swarm so as to achieve convergence. The study is achieved through designing of a prototype of the humidity environment controller to achieve two states or conditions that is for the controlled case and for the uncontrolled case. Environmental humidity control is achieved using a programmed Arduino and the DC FAN. The process is then designed using the MATLAB simulation software operating at the Simulink model designing platform. The same design is connected to the PID controller and then also tuned using the PID tuning platform on the Matlab. The same design is implemented on the workspace using particle swarm optimization method and it is then run to see the system behavior in terms of settling time, rising time and peak overshoot. The major reason of the study is to demystify the myth that one can only use conventional PID controller techniques in performance improvement and that there is a better method which can similarly be used with better results and cheaper. Most poultry farmers are stack with their old ways of achieving good performance therefore the results of this work will be an eye opener for them to embrace new techniques in the market The presented particle swarm optimization techniques shows impressive performance in terms of the settling time, rise time and over shoot.

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Energy conservation possibilities in heating ventilating air conditioning system using fuzzy logic

Cited by 3 publications

References 16 publications

Fuzzy Logic-Based Direct Load Control Scheme for Air Conditioning Load to Reduce Energy Consumption

Fuzzy Logic-Based Direct Load Control Scheme for Air Conditioning Load to Reduce Energy Consumption

Design of a Microcontroller-Based Heating System Controller Using Fuzzy Logic

Humidity Control Scheme for Chicken Chick Banda for Improved Performance using Particle Swarm Optimization

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