Redirigiendo al acceso original de articulo en 19 segundos...
ARTÍCULO
TITULO

An Approach for Predicting the Specific Fuel Consumption of Dual-Fuel Two-Stroke Marine Engines

Crístofer H. Marques    
Jean-D. Caprace    
Carlos R. P. Belchior and Alberto Martini    

Resumen

Increasing environmental demands, alongside the planned penetration of natural gas as marine fuel, have rendered dual-fuel engines as an attractive prime mover alternative. In this context, knowing the specific fuel consumption is essential to selecting the most efficient engine. The specific fuel consumption can be approached by simulation models with varying levels of complexity that are either implemented by basic programming languages or simulated by dedicated packages. This study aims to develop a simplified model to predict the specific fuel consumption of dual-fuel two-stroke marine engines driving fixed or controllable pitch propellers. The model relies on clear trends approachable by polynomials that were revealed by normalizing specific fuel consumption. This model requires only the value of specific fuel consumption at a nominal maximum continuous rating to predict the engine consumption at any specified rating, including at partial engine load. The outcome of the study shows that the maximum deviations regarding the two simulated engines did not exceed -3.6%. In summary, the proposed model is a fast and effective tool for optimizing the selection of dual-fuel, two-stroke Diesel engines regarding fuel consumption.

 Artículos similares

       
 
Xiaochen Zhang, Ziyang Song, Qianbo Huang, Ziyi Pan, Wujing Li, Ruining Gong and Bi Zhao    
As automated driving system (ADS) technology is adopted in wheelchairs, clarity on the vehicle?s imminent path becomes essential for both users and pedestrians. For users, understanding the imminent path helps mitigate anxiety and facilitates real-time a... ver más
Revista: Applied Sciences

 
Andres-Amador Garcia-Granada    
Impacts due to drops or crashes between moving vehicles necessitate the search for energy absorption elements to prevent damage to the transported goods or individuals. To ensure safety, a given level of acceptable deceleration is provided. The optimizat... ver más
Revista: Computation

 
Florin Leon, Marius Gavrilescu, Sabina-Adriana Floria and Alina Adriana Minea    
This paper proposes a classification methodology aimed at identifying correlations between job ad requirements and transversal skill sets, with a focus on predicting the necessary skills for individual job descriptions using a deep learning model. The ap... ver más
Revista: Information

 
Alessandro Massaro    
In the proposed paper, an artificial neural network (ANN) algorithm is applied to predict the electronic circuit outputs of voltage signals in Industry 4.0/5.0 scenarios. This approach is suitable to predict possible uncorrected behavior of control circu... ver más
Revista: AI

 
Seyed Mohammad Hashemi, Ruxandra Mihaela Botez and Georges Ghazi    
Accurate aircraft trajectory prediction is fundamental for enhancing air traffic control systems, ensuring a safe and efficient aviation transportation environment. This research presents a detailed study on the efficacy of the Random Forest (RF) methodo... ver más
Revista: Aerospace