Marine diesel engine ANN modelling with multiple output for complete engine performance map

Castresana, Joseba; Gabiña, Gorka; Basterretxea, Aingeru; Uriondo, Zigor

doi:10.1016/j.fuel.2022.123873

Cited by 26 publications

(5 citation statements)

References 44 publications

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“…The monitored combustion variables can be used to infer the several operational engine parameters using machine learning techniques. 45 As part of the vessel digitalization process, Artificial intelligence (AI) techniques will potentially be used to develop a conditionbased maintenance model in the future. Until now, many authors have proved the feasibility of using AI techniques in their studies, 46−49 but implementation of the outcomes from these studies requires a vessel digitalization platform.…”

Section: System Usage and Benefitsmentioning

confidence: 99%

“…Therefore, other main engine parameters are also a very important group of parameters to be measured. The monitored combustion variables can be used to infer the several operational engine parameters using machine learning techniques . As part of the vessel digitalization process, Artificial intelligence (AI) techniques will potentially be used to develop a condition-based maintenance model in the future.…”

Section: System Usage and Benefitsmentioning

confidence: 99%

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Toward Digitalization of Fishing Vessels to Achieve Higher Environmental and Economic Sustainability

Uriondo,

Fernandes-Salvador,

Reite

et al. 2024

ACS Environ. Au

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Fishing vessels need to adapt to and mitigate climate changes, but solution development requires better information about the environment and vessel operations. Even if ships generate large amounts of potentially useful data, there is a large variety of sources and formats. This lack of standardization makes identification and use of key data challenging and hinders its use in improving operational performance and vessel design. The work described in this paper aims to provide cost-effective tools for systematic data acquisition for fishing vessels, supporting digitalization of the fishing vessel operation and performance monitoring. This digitalization is needed to facilitate the reduction of emissions as a critical environmental problem and industry costs critical for industry sustainability. The resulting monitoring system interfaces onboard systems and sensors, processes the data, and makes it available in a shared onboard data space. From this data space, 209 signals are recorded at different frequencies and uploaded to onshore servers for postprocessing. The collected data describe both ship operation, onboard energy system, and the surrounding environment. Nine of the oceanographic variables have been preselected to be potentially useful for public scientific repositories, such as Copernicus and EMODnet. The data are also used for fuel prediction models, species distribution models, and route optimization models.

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Section: System Usage and Benefitsmentioning

confidence: 99%

Section: System Usage and Benefitsmentioning

confidence: 99%

Toward Digitalization of Fishing Vessels to Achieve Higher Environmental and Economic Sustainability

Uriondo,

Fernandes-Salvador,

Reite

et al. 2024

ACS Environ. Au

Self Cite

View full text Add to dashboard Cite

show abstract

“…As an outcome, the quantity of fatty acids in the linseed oil was used to determine its drying properties. The performance measurements like BTE and speci c fuel consumption can be applied to check and validate the oil's su cient claims Castresana et al [20]. Linseeds were brought from central research institute and exposed to the sunlight for 36 hours to remove additional moisture.…”

Section: Preparation Of Linseed Oil-based Biodieselmentioning

confidence: 99%

Experimental study on the performance and emission properties of variable compression ratio engine at different compression ratios

Venkataramana,

Subhanjaneyulu,

Raghava

et al. 2024

Preprint

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This study experiments on a single-cylinder, four-stroke, variable compression ratio diesel engine by comparing the performance and emission properties of diesel and linseed biodiesel blends. The biodiesel blends were obtained using a volume basis of 10%,20%,30%, and 40% of the linseed biodiesel blends, respectively, for experimentation. The linseed biodiesel blends are compared to identify the optimum biodiesel blend under changing compression ratios from 13.5:1 to 16.5:1 with a speed of 1500 rpm. The outcomes show that a combination of 20% linseed biodiesel with 80% diesel gives maximum performance compared to all other blends. The blends exhibited increased mechanical efficiency and brake power. Blends LD10 to LD40 demonstrated 2.6% more excellent mechanical efficiency and 13.4% higher brake power than diesel at a 16.5:1 compression ratio. For the blends LD10 to LD40, the exhaust gas temperature was 54.7℃ lower than diesel. In addition, hydrocarbon and carbon monoxide emissions were reduced by 47% in the maximum blend percentage, and compared to diesel emissions, carbon dioxide emissions were 38.3% greater.

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“…Regarding engine maps, Mera et al [14] combined engine operation data and the VSP approach to reduce emission estimation error. It can also be mentioned that Castresana et al [15] recently investigated the robustness of artificial neural networks to predict multiple performance and emission parameters using information from a diesel engine map for marine applications. In general, the engine mapping approach characterizes the fuel consumption and emission performance of a vehicle's engine for different engine speed and torque ranges [16].…”

Section: Introductionmentioning

confidence: 99%

Developing Fuel Efficiency and CO2 Emission Maps of a Vehicle Engine Based on the On-Board Diagnostic (OBD) Approach

Rosero Obando,

Rosero,

Mera

2024

Enfoque UTE

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A vehicle interacts with the road, other vehicles, and traffic control devices in real traffic conditions. The level of traffic influences driving patterns and, consequently, this can affect the vehicle´s fuel efficiency and emissions. This study aims to develop engine maps of fuel consumption and CO2 emissions for a light vehicle operating under real traffic conditions. A representative passenger vehicle of the Ecuadorian vehicle fleet, powered by gasoline, was selected for the experimental campaign that was developed on a test route designed according to real driving emission (RDE) regulation. An on-board diagnostic (OBD) device was used for recording in real-time engine and vehicle operating parameters. Moreover, CO2 emissions were estimated using the fuel rate registered from the OBD system of the vehicle This study proposed a novel methodology for developing two-dimensional contour engine maps based on OBD data. The result showed that the vehicle engine operated in real traffic conditions with a brake thermal efficiency (BTE) of 27%, a brake-specific fuel consumption (BSFC) of 275 g/kWh, and a carbon dioxide (CO2) energy-emission factor of 716 g/kWh. In terms of distance, the CO2 emission factor for the tested vehicle was approximately 190 g/km. Overall, this study demonstrates that the OBD approach is a potential method to be used to assess the fuel consumption and emissions of a vehicle operating under real-world traffic conditions, especially in Latin American countries, where portable emission measurement systems (PEMS) are not readily available.

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Marine diesel engine ANN modelling with multiple output for complete engine performance map

Cited by 26 publications

References 44 publications

Toward Digitalization of Fishing Vessels to Achieve Higher Environmental and Economic Sustainability

Toward Digitalization of Fishing Vessels to Achieve Higher Environmental and Economic Sustainability

Experimental study on the performance and emission properties of variable compression ratio engine at different compression ratios

Developing Fuel Efficiency and CO2 Emission Maps of a Vehicle Engine Based on the On-Board Diagnostic (OBD) Approach

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