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Journal : Journal of Engineering and Technological Sciences

The Effect of Tin Addition to ZnO Nanosheet Thin Films for Ethanol and Isopropyl Alcohol Sensor Applications Yuliarto, Brian; Julia, Sri; Wulan S., Ni Luh; Iqbal, Muhammad; Ramadhani, Muhammad F.; Nugraha, N.
Journal of Engineering and Technological Sciences Vol 47, No 1 (2015)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (998.718 KB) | DOI: 10.5614/j.eng.technol.sci.2015.47.1.6

Abstract

The requirements of green environmental and public health monitoring have become stricter along with greater world attention for global warming. The most common pollutants in the environment that need tightened control are volatile organic compounds (VOC). Compared to other kinds of sensors, semiconductor sensors have certain advantages,  including high sensitivity, fast response, simplicity, high reliability and low cost. In this work, ZnO and Sn-doped ZnO nanostructure materials with high surface nanosheet areas were synthesized using chemical bath deposition. The X-ray diffraction patterns  could be indexed  according to  crystallinity  mainly to a hexagonal wurzite ZnO structure. The scanning electron microscopy (SEM) results showed that in all samples, the thin films after the addition of Sn consisted of many kinds of microstructure patterns on a nanoscale, with various sheet shapes. The sensor performance characterizations showed that VOC levels as low as 3 vol% of isopropyl alcohol (IPA) and ethanol could be detected at sensitivities of 83.86% and 85.57%, respectively. The highest sensitivity of all sensors was found at an Sn doping of 1.4 at%. This high sensor sensitivity is a result of the high surface area and Sn doping, which in turn produced a higher absorption of the targeted gas.
Performance Analysis of Energy Storage in Smart Microgrid Based on Historical Data of Individual Battery Temperature and Voltage Changes Haq, Irsyad Nashirul; Kurniadi, Deddy; Leksono, Edi; Yuliarto, Brian; Soelami, F.X. Nugroho
Journal of Engineering and Technological Sciences Vol 51, No 2 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (983.722 KB) | DOI: 10.5614/j.eng.technol.sci.2019.51.2.1

Abstract

In this work, a historical data based battery management system (BMS) was successfully developed and implemented using an embedded system for condition monitoring of a battery energy storage system in a smart microgrid. The performance was assessed for 28 days of operating time with a one-minute sampling time. The historical data showed that the maximum temperature increment and the maximum temperature difference between the batteries were 4.5 °C and 2.8 °C. One of the batteries had a high voltage rate of change, i.e. above 3.0 V/min, and its temperature rate of change was very sensitive, even at low voltage rate of changes. This phenomenon tends to indicate problems that may deplete the battery energy storage system’s total capacity. The primary findings of this study are that the voltage and temperature rates of change of individual batteries in real operating conditions can be used to diagnose and foresee imminent failure, and in the event of a failure occurring the root cause of the problem can be found by using the historical data based BMS. To ensure further safety and reliability of acceptable practical operating conditions, rate of change limits are proposed based on battery characteristics for temperatures below 0.5 °C/min and voltages below 3.0 V/min.
The Effect of Tin Addition to ZnO Nanosheet Thin Films for Ethanol and Isopropyl Alcohol Sensor Applications Brian Yuliarto; Sri Julia; Ni Luh Wulan S.; Muhammad Iqbal; Muhammad F. Ramadhani; N. Nugraha
Journal of Engineering and Technological Sciences Vol. 47 No. 1 (2015)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2015.47.1.6

Abstract

The requirements of green environmental and public health monitoring have become stricter along with greater world attention for global warming. The most common pollutants in the environment that need tightened control are volatile organic compounds (VOC). Compared to other kinds of sensors, semiconductor sensors have certain advantages,  including high sensitivity, fast response, simplicity, high reliability and low cost. In this work, ZnO and Sn-doped ZnO nanostructure materials with high surface nanosheet areas were synthesized using chemical bath deposition. The X-ray diffraction patterns  could be indexed  according to  crystallinity  mainly to a hexagonal wurzite ZnO structure. The scanning electron microscopy (SEM) results showed that in all samples, the thin films after the addition of Sn consisted of many kinds of microstructure patterns on a nanoscale, with various sheet shapes. The sensor performance characterizations showed that VOC levels as low as 3 vol% of isopropyl alcohol (IPA) and ethanol could be detected at sensitivities of 83.86% and 85.57%, respectively. The highest sensitivity of all sensors was found at an Sn doping of 1.4 at%. This high sensor sensitivity is a result of the high surface area and Sn doping, which in turn produced a higher absorption of the targeted gas.
Performance Analysis of Energy Storage in Smart Microgrid Based on Historical Data of Individual Battery Temperature and Voltage Changes Irsyad Nashirul Haq; Deddy Kurniadi; Edi Leksono; Brian Yuliarto; F.X. Nugroho Soelami
Journal of Engineering and Technological Sciences Vol. 51 No. 2 (2019)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2019.51.2.1

Abstract

In this work, a historical data based battery management system (BMS) was successfully developed and implemented using an embedded system for condition monitoring of a battery energy storage system in a smart microgrid. The performance was assessed for 28 days of operating time with a one-minute sampling time. The historical data showed that the maximum temperature increment and the maximum temperature difference between the batteries were 4.5 °C and 2.8 °C. One of the batteries had a high voltage rate of change, i.e. above 3.0 V/min, and its temperature rate of change was very sensitive, even at low voltage rate of changes. This phenomenon tends to indicate problems that may deplete the battery energy storage system's total capacity. The primary findings of this study are that the voltage and temperature rates of change of individual batteries in real operating conditions can be used to diagnose and foresee imminent failure, and in the event of a failure occurring the root cause of the problem can be found by using the historical data based BMS. To ensure further safety and reliability of acceptable practical operating conditions, rate of change limits are proposed based on battery characteristics for temperatures below 0.5 °C/min and voltages below 3.0 V/min.
2-Dimensional Materials for Performance Enhancement of Surface Plasmon Resonance Biosensor: Review Paper Chandra Wulandari; Ni Luh Wulan Septiani; Nugraha Nugraha; Ahmad Nuruddin; Brian Yuliarto
Journal of Engineering and Technological Sciences Vol. 55 No. 4 (2023)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2023.55.4.10

Abstract

Surface plasmon resonance (SPR)--based biosensors compete and excel among optical biosensors because of exceptional features such as high sensitivity, label-free, and real-time measurement, allowing the observation of molecular binding kinetics. In SPR biosensors and other biosensor techniques, surface functionalization and bioreceptor attachment are effective strategies to improve sensor performance. The application of an appropriate immobilization matrix for the bioreceptor is an essential step in maximizing the absorption of the bioreceptor on the sensor surface, thereby improving a specific target-sensor interaction. Furthermore, the materials should provide excellent optical properties to enhance the response signal. The high surface-to-volume ratio and high optical absorption of 2D materials qualify these requirements, thus promising advancements for SPR biosensors. This article reviews the recent SPR biosensor study with the use of the 2D materials family to improve the sensor performance, including graphene, transition metal dichalcogenides (TMDCs), MXene, black phosphorus (BP), perovskite, and boron nitride (BN). The materials properties and enhancement mechanisms of different 2D materials are discussed comprehensively. This review was expected to provide a future perspective and design approach for 2D materials-based SPR biosensors.