A design of fuzzy controller for conforming to the regulations of indoor air quality and thermal comfort

Wu, Chao; Ma, Li-Shan; Chen, Chia-Hung; Liu, Yawei

doi:10.1109/cyber.2014.6917494

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…(iii) The system proposed in this study not only maintains the CO 2 concentration within the required range, but it also saves energy by switching off equipment when appropriate. In [22][23][24], the operation time is the most important indicator to evaluate whether the system is power consumption or not. In our experiment, the fan was on for 220 minutes during the 490-minute experiment.…”

Section: Verifying Energy-saving Performancementioning

confidence: 99%

An Intelligent Wireless Sensing and Control System to Improve Indoor Air Quality: Monitoring, Prediction, and Preaction

Lin

2015

International Journal of Distributed Sensor Networks

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The aim of this study is to construct an intelligent wireless sensing and control system to address health issues. We combine three technologies including (1) wireless sensing technology to develop an extendable system for monitoring environmental indicators such as temperature, humidity and CO 2 concentration, (2) ARIMA (autoregressive integrated moving average) to predict air quality trends and take action before air quality worsens, and (3) fuzzy theory which is applied to build an energy-saving mechanism for feedback control. Experimental results show the following. (1) A longer historical data collected time interval will reduce the effects of abnormal surges on prediction results. We find the ARIMA prediction model accuracy improving from 3.19 ± 3.47% for a time interval of 10 minutes to 1.71 ± 1.45% for a time interval of 50 minutes. (2) The stability experiment shows that the error rate of prediction model is also less than 7.5%. (3) In the energy-saving experiment, fuzzy logic-based decision model can reduce the 55% energy while maintaining adequate air quality.

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Section: Verifying Energy-saving Performancementioning

confidence: 99%

An Intelligent Wireless Sensing and Control System to Improve Indoor Air Quality: Monitoring, Prediction, and Preaction

Lin

2015

International Journal of Distributed Sensor Networks

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“…A multivariable optimization technique is introduced in [61], in which, a slide switch is used to select weighting factors for cost and comfort criteria which optimize the operation of heating and ventilation controller. Fuzzy rules are defined in [62], [63], to maintain indoor air quality and thermal comfort in operating rooms according to set standards. An old fuzzy controller is simplified with predictive mean vote to regulate the controller which in result saves 6% energy [64].…”

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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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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“…Rahimi dkk, dalam penelitiannya memanfaatkan metode Fuzzy untuk mendapatkan keadaan suhu ruang sebagai deteksi bahaya kebakaran [11]. Selain itu, Fuzzy juga dapat diterapkan sebagai penentu putaran kipas angin pada suatu ruang dan dapat digunakan dalam lingkungan manufaktur [12] Pada keanggotaan suhu terdapat 3 himpunan fuzzy yaitu himpunan low, medium dan high. Dimana untuk mendapatkan nilai keanggotaan pada himpunan fuzzy low sesuai dengan persamaan (1).…”

Section: Pendahuluanunclassified

“…Dimana untuk mendapatkan nilai keanggotaan pada himpunan fuzzy very low sesuai dengan persamaan (10). Sedangkan himpunan low sesuai dengan persamaan (11) dan himpunan middle sesuai dengan persamaan (12). Dilanjutkan dengan himpunan high sesuai dengan persamaan (13) dan himpunan very high sesuai dengan persamaan (14).…”

Section: Gambar 5 Diagram Fungsi Keanggotaan Cahaya Indoorunclassified

Pengembangan Sistem Otomatisasi AC dan Lampu Menggunakan Fuzzy dan Raspberry Pi

Ariyanto

Rahmad

Ananta

et al. 2017

INFOTEL

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Abstrak -Otomatisasi AC dan lampu dilakukan untuk menghemat energi yang digunakan pada kehidupan sehari-hari. Dalam pengembangan otomatisasi AC dan lampu perlu menerapkan sebuah perangkat yang memiliki fungsi maksimal dengan harga yang minimal. Raspberry Pi merupakan perangkat atau modul dengan harga rendah yang mampu melakukan komunikasi wireless tanpa bantuan modul lain. Dalam pengembangan otomatisasi AC dan lampu juga diperlukan sebuah metode yang mampu melakukan kontrol terhadap nyala AC dan lampu. Penerapan metode Fuzzy dapat dilakukan untuk menghimpun informasi keadaan ruang yang didapat dari sensor untuk menentukan nyala AC dan lampu secara otomatis. Oleh sebab itu pada penelitian ini mengusulkan pengembangan otomatisasi AC dan lampu menggunakan Raspberry Pi dan Fuzzy. Otomatisasi AC dan lampu menggunakan Raspberry Pi yang menerapkan metode Fuzzy dapat menghemat energi hingga 59,87% dalam hal lama waktu nyala AC dan 57,47% untuk lumenasi lampu.Kata kunci -Raspberry Pi, Fuzzy, Otomatisasi AC, Otomatisasi Lampu Abstract -Automation of AC and lamps is done to save energy used in everyday. In the development of AC and lamps automation, it needs to implement a device that has maximum function with minimal price. Raspberry Pi is a device or module with a low price that can perform wireless communication without the help of other modules. In the development of air AC and lamps automation, it also required a method that is able to control the flame AC and lamps. The application of the fuzzy method can be done to collect the space state information obtained from the sensor to determine the flame of the AC and the lamps automatically. Therefore, this research proposes development of AC and lamps automation using Raspberry Pi and Fuzzy. Automation of AC and lamps using Raspberry Pi which applying Fuzzy method can save energy up to 47,22% in case of AC and 57,62% for lamps lumenation.

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A design of fuzzy controller for conforming to the regulations of indoor air quality and thermal comfort

Cited by 5 publications

References 1 publication

An Intelligent Wireless Sensing and Control System to Improve Indoor Air Quality: Monitoring, Prediction, and Preaction

An Intelligent Wireless Sensing and Control System to Improve Indoor Air Quality: Monitoring, Prediction, and Preaction

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

Pengembangan Sistem Otomatisasi AC dan Lampu Menggunakan Fuzzy dan Raspberry Pi

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