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All Journal Mechatronics, Electrical Power, and Vehicular Technology
Pratama, Mulia
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Electrical & Electronics Engineering

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Thermal efficiency and emission characteristics of a diesel-hydrogen dual fuel CI engine at various loads condition Putrasari, Yanuandri; Praptijanto, Achmad; Nur, Arifin; Santoso, Widodo Budi; Pratama, Mulia; Dimyani, Ahmad; Suherman, Suherman; Wahono, Bambang; Wardana, Muhammad Khristamto Aditya; Lim, Ocktaeck
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 9, No 2 (2018)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (177.288 KB) | DOI: 10.14203/j.mev.2018.v9.49-56

Abstract

Efforts to find alternative fuels and reduce emissions of CI engines have been conducted, one of which is the use of diesel hydrogen dual fuel. One of the goals of using hydrogen in dual-fuel combustion systems is to reduce particulate emissions and increase engine power. This study investigates the thermal efficiency and emission characteristics of a diesel-hydrogen dual fuel CI engine at various loads condition. The hydrogen was used as a secondary fuel in a single cylinder 667 cm3 diesel engine. The hydrogen was supplied to intake manifold by fumigation method, and diesel was injected directly into the combustion chamber. The results show that the performance test yielding an increase around 10% in the value of thermal efficiency of diesel engines with the addition of hydrogen either at 2000 or 2500 rpm. Meanwhile, emission analyses show that the addition of hydrogen at 2000 and 2500 rpm lead to the decrease of NOx value up to 43%. Furthermore, the smokeless emissions around 0% per kWh were occurred by hydrogen addition at 2000 and 2500 rpm of engine speeds with load operation under 20 Nm.
Vehicular networking and computer vision-based distance estimation for VANET application using Raspberry Pi 3 Pratama, Mulia; Gruosso, Giambattista; Santoso, Widodo Budi; Praptijanto, Achmad
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 1 (2019)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4152.977 KB) | DOI: 10.14203/j.mev.2019.v10.7-16

Abstract

This research was implementing vehicle networking using WIFI connection and computer vision to measure the distance of vehicles in front of a driver. In particular, this works aimed to improve a safe driving environment thus supporting the current technology concept being developed for inter-vehicular networking, VANET, especially in its safety application such as Overtaking Assistance System. Moreover, it can wirelessly share useful visual information such as hazard area of a road accident. In accordance with Vehicle-to-Vehicle (V2V) concept, a vehicle required to be able to conduct networking via a wireless connection. Useful data and video were the objects to be sent over the network established. The distance of a vehicle to other vehicles towards it is measured and sent via WIFI together with a video stream of the scenery experienced by the front vehicle. Haar Cascade Classifier is chosen to perform the detection. For distance estimation, at least three methods have been compared in this research and found evidence that, for measuring 5 meters, the iterative methods shows 5.80. This method performs well up to 15 meters. For measuring 20 meters, P3P method shows a better result with only 0.71 meters to the ground truth. To provide a physical implementation for both the detection and distance estimation mechanism, those methods were applied in a compact small-sized vehicle-friendly computer device the Raspberry Pi. The performance of the built system then analyzed in terms of streaming latency and accuracy of distance estimation and shows a good result in measuring distance up to 20 meters.
Co-Authors A.A. Ketut Agung Cahyawan W Achmad Praptijanto Arifin Nur Bambang Wahono Dimyani, Ahmad Gruosso, Giambattista Lim, Ocktaeck Santoso, Widodo Budi Wardana, Muhammad Khristamto Aditya Yanuandri Putrasari