Mohd Saifizi Saidon
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Mohd Saifizi Saidon
Official Name
Mohd Saifizi , Saidon
Alternative Name
Saidon, Mohd Saifizi
Saifizi Saidon, M.
Saifizi, M.
Saidon, M. S.
Saifizi, Mohd
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Scopus Author ID
56015096300
Researcher ID
AGY-2420-2022

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  • Publication
    Identification of ARX Model for Thermoelectric Cooling on Glass Windows
    ( 2022-01-01)
    Mohd Saifizi Saidon
    ;
    Nasrul Amri Mohd Amin
    ;
    ‘Aqilah Che Sulaiman
    ;
    Mohd Rizal Manan
    ;
    Siti Marhainis Othman
    ;
    Wan Azani Wan Mustafa
    ;
    Arith F.
    Thermoelectric cooling (TEC) is a solid-state heat pump that uses the Peltier effect to dissipate the heat generated by the electronic packaging system. TECs are widely used in aerospace, military, scientific work and industry due to small size, lack of moving parts, and ease of integration. In this study, a cooling system integrated with TEC is developed in a testing area (lecturer’s office) with the aim to reduce the temperature of the hot glass window area due to solar radiation that passes through it. This cooling system used direct TEC, for keeping the cooling temperature on the window to about 26 °C which is equivalent to an air conditioning setting temperature of 26 °C set during the experiment. This work includes experimental and modelling studies conducted on cooling systems integrated with TEC. The main target of this study is to develop a dynamic model of a cooling system integrated with TEC. The black box modelling approach in producing a mathematical model was selected based on the ARX model that corresponds to the actual dynamic state of the cooling system. The best model was finalized based on the best match on curve patterns when comparing the real and estimated models using the system identification tools in MATLAB, and also had the least error. The accuracy of the models was compared and analysed. The results showed that the 4th order of the ARX model produced a higher best fitting and standard deviation values of 78.14% and 0.030769. This system accuracy is almost within the acceptable range for most error calculations in the validation method. In addition, the ARX model is found incapable of achieving the highest fitting due to the losses from the dynamic environment and losses from the TEC itself. Still, the use of this black box model used in this study is a significant variation where system parameters can be identified even offline.
  • Publication
    Black box modelling of infrared drying system for herbs dehydration
    ( 2022-01-01)
    Mohd Saifizi Saidon
    ;
    Mohd Muqri Syahmi Sulong
    ;
    Wan Azani Wan Mustafa
    ;
    Azwan Iskandar Azmi
    ;
    Norawanis Abdul Razak
    ;
    Muhammad Faris Fauzi
    This study focused on development of infrared dryer system for Orthosiphon Stamineus leaves drying application. In any food technology, the dryer is the key component for quality drying food and herbs etc. An oven is modified to produce high technology drying system. A mathematical model is developed based on time response characteristics of the system. A second order model is found to adequately represent the system as it gives best fit with better properties than the first order model with error between measured data and simulation data is 0.44. Validation procedures show that the derived model is indeed a good enough representation of drying system. The infrared dryer system is highly non-linear and exhibits varying model parameters. An identification system is introduced to estimate the parameters and determine mathematical model of the system. ARMAX of na = 2, nb = 1 and nc = 1 polynomial model show best fit to experimental response of PRBS input.
      3  1