Nor Hanisah Baharudin
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Preferred name
Nor Hanisah Baharudin
Official Name
Nor Hanisah, Baharudin
Alternative Name
Baharudin, N. H.
Baharudin, Nor Hanisah
Main Affiliation
Scopus Author ID
49061032600
Researcher ID
EKZ-0397-2022

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Performance analysis of smart lighting control system for sustainable campus operation

2021-01-01 , Tunku Muhammad Nizar Tunku Mansur , Rosnazri Ali , Nor Hanisah Baharudin , Kumuthawathe Ananda-Rao

Global warming is a growing issue today due to the concerns of carbon emissions to the environment. Meanwhile, learning institutions such as university could play a significant role in promoting energy conservation and sustainable campus operations. The objective of this paper is to highlight the performance of smart lighting control system for restrooms where the project has been carried out at the Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis. The methodology processes include the initial study and field measurement of the energy consumption for lighting system during pre-retrofit condition, design, and development of the lighting control system and lastly analysis of the designed system in post-retrofit condition after installation. On the overall, 58 motion sensors have been installed at 30 restrooms where the result shows that in average 77.5% of reduction in energy consumption per day for each restroom. This situation has given tremendous benefits to the university operation where the university could save 9377 kWh per year and reduced RM 3423 from electricity bill per annum. In addition, this project also contributes to the environmental sustainability where the amount of electrical energy that has been successfully reduced is equivalent to 6508 kg of CO2 avoidance to the environment.

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Output Power Maximization of DFIG Wind Turbine using Linear MPC Technique

2021-06-11 , Surina Mat Suboh , Hassan M.S. , Nor Hanisah Baharudin , Kumuthawathe Ananda-Rao , Ahamad N.B. , Ernie Che Mid , Othman M. , Sardi J.

Wind energy conversion systems have been attracting wide attention as a renewable energy source. To extract maximum energy from the wind turbine, an efficient controller plays an important role. The target of this paper is to develop a Linear Model Predictive Control (MPC) to maximize power production according to wind speed. Firstly, the DFIG wind turbine model was linearized at a specific operating point by using the Jacobian method. The MPC then was developed based on the linearized model where wind speed equal to 8 m/s is chosen as its operating area. The controller was tested to deal with different wind speed. A presence of a certain range of wind speed errors was included to evaluate the controller efficiency. Numerical simulation was done by using MATLAB software. The proposed controller has shown great performances when within its operating area but downgraded when moving away from its operating area. Imprecise wind speed measurement has shown a significant impact on the controller efficiency.

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Smart lighting system control strategies for commercial buildings: A review

2021-01-01 , Nor Hanisah Baharudin , Tunku Muhammad Nizar Tunku Mansur , Rosnazri Ali , Nur Fatini Ahmad Sobri

Rapid global economic growth and growing population have tremendously led to the increasing demand for energy needs in commercial and residential buildings. The main energy resources for electrical energy generation in Malaysia are fossil fuels. The increase in electricity demands causes simultaneous proportional growth in fossil fuel consumption, thereby leads to higher greenhouse gas emissions. Buildings have emerged as the most voracious electrical energy consumer which contributes over one-third of global energy consumption. Furthermore, lightings and air-conditioning systems have the most significant impacts on the total electricity usage of buildings in Malaysia. Thus, energy efficiency efforts targeting both loads will significantly reduce total energy consumption in the buildings. This paper aimed at reviewing energy efficiency efforts at the commercial buildings and comparison between simple strategy and SMART Building by using Building Energy Management System (BEMS). Many aspects of energy efficiency efforts will be considered such as energy consumption, occupant comfort, and system cost. Furthermore, suggestions for improving energy efficiency in the commercial building using the best strategy to reduce energy consumption by using a lighting control system will be discussed.

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