Experimental Comparison of Smoke Opacity and Particulate Matter Emissions with the Use of Emulsion Fuel

Sugeng, Dhani Avianto; Yahya, Wira Jazair; Ithnin, Ahmad Muhsin; Kusdi, Badrul Hikmah; Rashid, Muhammad Adib Abdul; Bahiuddin, Irfan; Mazlan, Nurul Musfirah; Kadir, Hasannuddin Abd

doi:10.5109/4068626

Cited by 4 publications

(3 citation statements)

References 25 publications

(30 reference statements)

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“…Subsequently, there has been a notable resurgence in the exploration of WDE since 2012 [24]. This particular fuel has demonstrated its capacity to curtail diesel fuel consumption without imposing significant compromises on engine performance, simultaneously achieving reductions in NOx emissions, Particulate Matter (PM), and smoke emissions without necessitating extensive engine modifications [25]. Notably, until the present research initiative, the proportion of water admixed with diesel fuel had been investigated and found to be viable at levels reaching up to 30% [26].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Varying Mixing Rates in a Surfactant-Free Fuel Emulsion Mixer on the Efficiency and Emissions of a Diesel Engine

Santoso,

Sartomo,

Ubaidillah

et al. 2024

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The research focuses on water diesel emulsion (WDE), a topic that has captivated researchers for an extended period. While previous studies predominantly employed surfactants to enhance mixing efficiency, their non-economic feasibility in transportation logistics has prompted a shift in recent investigations. This study presents experiments utilizing a cost-effective WDE comprising 15% water and a mixer devoid of surfactants to investigate the impact of mixer blade rotation on engine performance, fuel consumption, and NOx emissions. NOx emission tests were conducted under a constant engine speed of 2,000 rpm and a 75% load (3,23 kW). The optimal brake-specific fuel consumption (BSFC) for the 15% WDE fuel occurred at a blade rotation speed of 3,000 rpm, resulting in a 1% power reduction (from 4,41 kW to 4,38 kW), a 13.3% decrease in BSFC (from 694,98 gr/kW.h to 602,52 gr/kW.h), and a 30% reduction in NOx emissions (from 54 ppm to 38 ppm). This discovery holds promise for future advancements in green energy applications within the transportation sector.

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Section: Introductionmentioning

confidence: 99%

The Impact of Varying Mixing Rates in a Surfactant-Free Fuel Emulsion Mixer on the Efficiency and Emissions of a Diesel Engine

Santoso,

Sartomo,

Ubaidillah

et al. 2024

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“…Air pollution is related to emissions, a major green technology issue affecting everyone in many countries. Air pollution is also related to the emission sources, such as biomass burning 1,2) , industrial combustion process 3) , coal combustion [4][5][6] , and fuel combustion [7][8][9] . These emissions are divided into particulate and gaseous emissions.…”

Section: Introductionmentioning

confidence: 99%

A Gravimetry-Based Fine Particle Concentration Measurement System for Humid Environment Using Graphene Oxide Layer

Budianto,

Wirawan,

Ramadian Ridho Illahi

et al. 2023

Evergreen

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Recent studies have developed fine particle measurement systems using many methods. However, most of them are high-cost and unsuitable for harsh conditions. This study introduces a portable fine particle concentration system based on a gravimetry principle for air quality measurement in a highly humid environment. This study used a bare QCM (Q1) and graphene oxidecoated QCM (Q2) as the fine particle sensors. All sensors were installed inside a sensor box and tested at two different humidity levels: 75% (normal humidity) and 95% (high humidity). The sensors were tested using fine particle emissions (diameter 0.01 -2.5 µm) emitted from several combustion sources (three biomass samples). A handheld particle concentration measurement device was used as the comparator for the measurement system. The results show that the uncoated QCM has a lower frequency response than the GO-coated QCM. The bare QCM does not show significant accuracy and linearity. As expected, the coated QCM performs better than the uncoated QCM, where the peak accuracies of the coated QCM are 98% and 99% for normal and high humidities. The linearity and sensitivity levels of the coated QCM are 95-99% and 0.59 -1.76 Hz m 3 ug -1 . These performances confirm the reliability and ability of the developed system using GO layer and QCM to be employed as a fine particle emission sensing device in a humid environment.

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“…Since the traffic in metro cities from India is increasing every day by following the exponential trend, the rise in pollution levels is also chasing up the trend accordingly. In view of this, it becomes the foremost requirement to address pollution-related issues to adhere with good atmospheric situations, subsequently well human health 12) .…”

Section: Introductionmentioning

confidence: 99%

An Experimental Investigation of Wear Particles Emission and Noise Level from Smart Braking System

Patil¹,

Khairnar²,

Hole³

et al. 2022

Evergreen

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Long-term or prolonged noise sensitivity as well as wear particles such as Particulate Matter 10 (PM10) and Particulate Matter 2.5 (PM2.5) emitted from conventional disc brake system has been attributed to a variety of health issues including stress, reduced concentration, decreased productivity at works, and exhaustion from a lack of sleep, among others. Automobile brakes are widely used in city traffic to control the vehicle. Since the use of automotive brake is frequent, the friction and wear exist between the contact pairs of disc brake may cause unnecessary noise level/wear particles. To tackle this, it was intended to develop the smart braking system and evaluate the significance of noise level and wear emission from the newly developed braking system. A noise measuring unit such as a sound intensity meter or decibel (dB) meter with data recording capability, as well as a wear particle measuring device for measurement of PM2.5 and PM10 particles, were used to investigate the noise and wear emission behavior of the proposed braking system. The numerous trials were conducted thoroughly on the test rig for the wear particle analysis and noise analysis. The findings show that the proposed smart brake blending system is very much efficient to reduce noise emission and wear emission during the braking of a vehicle. The outcome from the present study will help develop the noise-free eco-friendly braking system to enhance the human health aspects related to noise and air pollutions.

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Experimental Comparison of Smoke Opacity and Particulate Matter Emissions with the Use of Emulsion Fuel

Cited by 4 publications

References 25 publications

The Impact of Varying Mixing Rates in a Surfactant-Free Fuel Emulsion Mixer on the Efficiency and Emissions of a Diesel Engine

The Impact of Varying Mixing Rates in a Surfactant-Free Fuel Emulsion Mixer on the Efficiency and Emissions of a Diesel Engine

A Gravimetry-Based Fine Particle Concentration Measurement System for Humid Environment Using Graphene Oxide Layer

An Experimental Investigation of Wear Particles Emission and Noise Level from Smart Braking System

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