Herlina Abdul Rahim
Universiti Teknologi Malaysia

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Modelling and simulation of magnesium antimonide based thermoelectric generator Md. Nazibul Hasan; Herlina Abdul Rahim; Mohd Ashraf Ahmad; Mohamed Sultan Mohamed Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp686-692

Abstract

This paper presents the modelling and simulation of a π-shaped Mg3Sb2 based thermoelectric generator. The performance of the proposed thermoelectric generator is evaluated with finite element analysis. A number of thermocouples were varied for high output power and power efficiency factor. Based on the analysis, we demonstrated that enhancement of the temperature gradient and the number of thermocouples are beneficial for high output power and power efficiency factor of Mg3Sb2 based thermoelectric generator. A high output power and power efficiency factor of 8.89 mW and 3.47 mWmm-2K-2 were obtained at a temperature gradient of 500K across the hot and cold side for four Mg3Sb2 based thermocouples, respectively. The obtained results show that the developed device could be used to drive portable electronic devices.
Novel internet of things-spectroscopy methods for targeted water pollutants in household point-of-use environments Syahidah Nurani Zulkifli; Herlina Abdul Rahim; Nurul Adilla Mohd Subha
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 3: June 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i3.26569

Abstract

Ensuring water quality remains a paramount concern to prevent adverse health effects on consumers. Water quality monitoring primarily focuses on water utilities and infrastructure, such as treatment plants and reservoirs. More information is needed on the status of water once it enters the consumption phase, particularly at the point-of-use (POU). Therefore, this study aims to provide a scientific understanding of water quality in response to microbial contaminants in Malaysia’s household water system using the non-invasive benchtop near-infrared (NIR)-Raman spectroscopy approach. This study also provided the effects of seasonal variations and stagnation periods on the quality of water supply, corresponding to microbial contaminants. Findings show that almost 20% of the water samples contained Legionella and Salmonella species through the Raman spectral identification technique. The distinct signature peaks (ranging from 400 cm-1 to 1,800 cm-1) indicative of specific bacterial species are identified. However, benchtop Raman spectroscopy has application constraints in real-time water quality monitoring. Hence, acknowledging its limitation, this study proposed a new internet of things (IoT)-based micro-spectrometer as an alternative to rapid and sustainable POUs water quality assessment. Leveraging IoT protocols enhances the reliability and efficiency of identifying microbiological threats in water supply.