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Susanto, Roni Muhammad; Setiyo, Muji

doi:10.31603/ae.v1i01.2000

Cited by 5 publications

(6 citation statements)

References 8 publications

(8 reference statements)

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“…Changes in pressure in the intake manifold are strongly influenced by several constraints, including the ambient atmospheric pressure (A !D )in bar units and the throttle valve position in accordance with Eqs. ( 6) to (10).…”

Section: B Modeling Of Fuel Cut Off Controllermentioning

confidence: 99%

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Modelling Fuel Cut Off Controller on CNG Engines Using Fuzzy Logic: A Prototype

Munahar¹,

Setiyo²,

Saudi³

et al. 2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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Compressed Natural Gas (CNG) is an alternative solution to the limited availability of fossil energy. CNG use's advantages include high octane value, applicable to vehicles requiring large power, cost-effectiveness, and lower emissions. However, applying the old CNG kit leaves emission problems and fuel wastage during deceleration. Although numerous studies have been carried out with numerous variables to improve engine performance and emissions, reports regarding deceleration interventions are still limited. Therefore, this study proposes enhanced modeling to optimize the fuel cut-off controller by applying fuzzy logic by controlling the throttle valve position based on the input sensor of the engine. Engine dynamics, fuel characteristics, and intake systems are considered strictly in the development of the control system to obtain more precise results that refer to the complete combustion process. The designed model has advantages over previous studies, which focused on achieving CNG AFR stoichiometry to improve fuel economy by using the fuel cut-off method during deceleration. The results showed that fuel savings could be increased during deceleration by cutting off fuel flow to the engine. This can be seen from the increase in AFR ± 57% and decrease ± 38% -67% in CNG flow rate during deceleration which is promising to be widely applied. In the future, the proposed model could be used as part of the vehicle component in optimizing the fuel consumption that will support green technology sustainability.

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Section: B Modeling Of Fuel Cut Off Controllermentioning

confidence: 99%

“…CNG is an alternative fuel with numerous advantages, including having a high-octane value, being applied to vehicles requiring large power, having cheaper prices, and producing lower emissions [10]. Studies on CNG continue to be pursued to improve its capabilities continuously.…”

Section: Introductionmentioning

confidence: 99%

Modelling Fuel Cut Off Controller on CNG Engines Using Fuzzy Logic: A Prototype

Munahar¹,

Setiyo²,

Saudi³

et al. 2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…Global energy consumption continues to be primarily reliant on fossil energy sources, such as oil, natural gas, and coal [1]- [3]. This presents a multifaceted challenge and threat to the sustainability of the global energy sector.…”

Section: Introductionmentioning

confidence: 99%

Optimizing energy harvesting from waste motor oil through steam reforming: A path to efficient combustion and emissions reduction

Waluyo,

Pujiarto,

Ardana

et al. 2023

Mech. Eng. for Soc. and Ind.

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Waste Motor Oil (WMO) is a hazardous waste material with the potential to contaminate water, soil, and the atmosphere. The management and engineering of WMO have become imperative in modern society for both resource utilization and environmental protection. Maximizing the energy content of WMO poses a significant challenge for researchers, to solve environmentally friendly solutions. Direct combustion of WMO often results in incomplete combustion and elevated CO emissions. Therefore, this research aims to optimize the harnessing of WMO's energy potential through a furnace equipped with steam injection. The steam is generated by utilizing the heat energy produced during the WMO heating process. Our study demonstrates that steam injection in the WMO furnace is an effective method for maximizing energy content while simultaneously reducing CO emissions.

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“…Biomass selection, thermal management, and waste pyrolysis have been done to cut down on fossil fuel use (Adetunji et al, 2021;Elehinafe et al, 2021;Sunaryo et al, 2021;Supriyanto et al, 2019). Cleaner fuels like liquefied petroleum gas (LPG) and compressed natural gas (CNG) have been used, but they have not been able to replace conventional fuels like gasoline and diesel oil on a larger scale (Kivevele et al, 2020;Munahar et al, 2021;Susanto & Setiyo, 2018). Ethanol has also been introduced for a long time, even from local sources (Syarifudin et al, 2020;Wahyu et al, 2019), but implementation on a larger scale still remains a challenge due to uncompetitive market prices.…”

Section: Introductionmentioning

confidence: 99%

A Green Heterogeneous Catalyst Production and Characterization for Biodiesel Production using RSM and ANN Approach

Kolakoti¹,

Setiyo

Rochman

2022

Int. J. Renew. Energy Dev.

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In this work, naturally available moringa oleifera leaves are chosen as a heterogeneous catalyst for biodiesel production from palm oil. The dry moringa oleifera leaves are calcinated up to 700 °C for 3 hours to improve their adsorbing property. The calcinated catalyst characterization analysis from XRD and EDX highlights the presence of calcium, potassium, and other elements. Response surface method (RSM) optimization and artificial neural network (ANN) modeling were carried out to elucidate the interaction effect of significant process variables on biodiesel yield. The results show that a maximum biodiesel yield of 92.82% was achieved at optimum conditions of catalyst usage (9 wt.%), molar ratio (7:1), temperature (50 °C) and reaction time (120 min). The catalyst usage (wt.%) was identified as a significant process variable followed by molar ratio. Furthermore, the significant fuel properties of the biodiesel related to thermal, physical, chemical, and elemental match with the established standards of ASTM. The reutilization analysis of the catalyst reveals that more than 50% of the biodiesel yield was achieved after five cycles of reuse.

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Untitled

Cited by 5 publications

References 8 publications

Modelling Fuel Cut Off Controller on CNG Engines Using Fuzzy Logic: A Prototype

Modelling Fuel Cut Off Controller on CNG Engines Using Fuzzy Logic: A Prototype

Optimizing energy harvesting from waste motor oil through steam reforming: A path to efficient combustion and emissions reduction

A Green Heterogeneous Catalyst Production and Characterization for Biodiesel Production using RSM and ANN Approach

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