Muhamad Hatta Hussain
Thumbnail Image
Preferred name
Muhamad Hatta Hussain
Official Name
Muhamad Hatta , Hussain
Alternative Name
Hussain, Muhammad Hatta
Hussain, Muhamad Hatta
Hussain, M. H.
Main Affiliation
Scopus Author ID
36559434400
Researcher ID
DTG-2216-2022

Research Output

Filters

4
1 1
4
Reset filters

Settings
Now showing 1 - 4 of 4
  • Publication
    The design of a Biochamber for micropropagation of Banana tissue culture plants and controlling the biochamber process using Programmable Logic Controller (PLC)
    ( 2005)
    Muhamad Hatta Hussain
    ;
    Ismail Daut
    ;
    Norlida Buniyamin
    ;
    Zainuddin Mohamad
    ;
    Norzulaani Khalid
    Biochamber of banana tissue culture is one of the technology for plant propagation that using the Aeroponics System. The aeroponics method is applied because it requires sterile environment. The project is done in order to control the environment for the banana tissue culture propagation using a biochamber. It consists of researching the banana tissue culture propagation and the aeroponics method, surveying and analyzing the hardware requirement such as pump, valve, nozzle, Reverse Osmosis System, sensors and Laminar Flow Cabinet. The process is controlled by using the Programmable Logic Controller (PLC).
  • Publication
    Cost of Energy Losses for Distributed Generation Using Hybrid Evolutionary Programming-Firefly Algorithm
    ( 2021-12-01)
    Noor Najwa Husnaini Mohammad Husni
    ;
    Siti Rafidah Abdul Rahim
    ;
    Mohd Rafi Adzman
    ;
    Muhamad Hatta Hussain
    ;
    Musirin I.
    The cost of energy losses analysis for distributed generation (DG) is presented in this paper using a Hybrid Evolutionary Programming-Firefly Algorithm (EPFA). The proposed method was created to determine the optimal DG sizing in the distribution system while accounting for the system's energy losses. This study presents an investigation into hybrid optimization techniques for DG capabilities and optimal operating strategies in distribution systems. The objectives of this study were to reduce the cost of energy losses while increasing the voltage profile and minimize distribution system losses. In this study, the analysis was done by consider DG type I which is DG-PV. The suggested methodology was tested using the IEEE 69-bus test system, and the simulation was written in the MATLAB programming language. Power system planners can use appropriate location and sizing from the results obtained for utility planning in terms of economic considerations. From the simulation, the result shows the proposed method can identify the suitable sizing of DG while reduce cost of energy losses and total losses in the system.
  • Publication
    Hybrid Cooling System for Solar Photovoltaic Panel
    ( 2023-01-01)
    Azmi M.S.F.M.
    ;
    Muhamad Hatta Hussain
    ;
    Siti Rafidah Abdul Rahim
    ;
    Mid E.C.
    ;
    Shaari A.S.
    ;
    Nik Mohd Zarifie Hashim
    ;
    Husny N.
    ;
    Ahmad M.F.
    Solar photovoltaic (PV) panel is one of the renewable sources of energy and produced daily nowadays. Solar panel systems have efficiency influenced by different factors, such as ambient temperature, solar panel temperature, sunlight, weather, and irradiation. The increasing of the temperature of the solar PV panel decreases its efficiency and lifetime. Thus, to maintain and decrease the temperature of the PV cell, cooling system is required. This paper presents the hybrid (water and air) cooling system method for solar PV panel. The method has been designed and developed to lower and stable the operating temperature of the system considering different weather conditions. The results revealed that the hybrid cooling system has shown improvement of output power solar PV panel as compared with water cooling system only. Furthermore, the proposed method managed to improve efficiency approximately to 4.5%.
  • Publication
    Optimal Allocation and Sizing of Multi DG Units including Different Load Model Using Evolutionary Programming
    ( 2021-06-11)
    Mohd Fayzul Mohammed
    ;
    Siti Rafidah Abdul Rahim
    ;
    Azralmukmin Azmi
    ;
    Wan Zulmajdi Wan Zanudin
    ;
    Muhamad Hatta Hussain
    ;
    Nurul Huda Hashim
    ;
    Aliman O.
    This paper presents the optimal allocation and sizing of multi distributed generation (DG) units including different load models using evolutionary programming (EP) in solving power system optimization problem. This paper also studies on the effect of multi DG placement in different load model. To optimize the power distribution system, multi DG units were used to reduce losses power distribution system. By using EP, the optimal allocation and sizing of multi-DG was determined in order to obtain maximum benefits from its installation. The propose technique was tested into IEEE 69-bus distribution system. The result shows the placement of DG can reduce power loss 89% to 98%. The placement of multi-DG unit has better performance compare to single DG.