Computational meta-heuristics based on Machine Learning to optimize fuel consumption of vessels using diesel engines

With the expansion of means of river transportation, especially in the case of small and medium-sized vessels that make routes of greater distances, the cost of fuel, if not taken as an analysis criterion for a larger profit margin, is considered to be a primary factor , considering that the value of fuel specifically diesel to power internal combustion machines is high. Therefore, the use of tools that assist in decision-making becomes necessary, as is the case of the present research, which aims to contribute with a computational model of prediction and optimization of the best speed to decrease the fuel cost considering the characteristics of the SCANIA 315 machine. propulsion model, of a vessel from the river port of Manaus that carries out river transportation to several municipalities in Amazonas. According to the results of the simulations, the best training algorithm of the Artificial Neural Network (ANN) was the BFGS Quasi-Newton considering the characteristics of the engine for optimization with Genetic Algorithm (AG).

Development System for Reducing Fuel Consumption with Logarithmic Approach for Aperture Valve System on Throttle Body

Decreasing of petroleum reserve and increasing of fossil fuel consumed lead to an energy crisis. To anticipate that case, it is required for the development of modified motor vehicles to optimize fuel consumption. A modification toward the valve on the throttle body regulating the mixed amount of the incoming gasoline and air into the combustion chamber can be an alternative solution of the case. By changing the valve aperture system which has initially been linier become logarithmic with the gas handle, make the mixture of incoming gasoline and air into the combustion chamber more efficient. In this research Motorcycle Carburettor 110 cc is used. The result of the research shows that the fuel consumption can be optimized to 37% lower consumption compared to normal mode.

Considerations Regarding Validation through Simulation of Some Board System Information’s for Powertrain Performance Optimization

The authors present in this paper the opportunities offered by the use of software platforms (MULTISIM) in the validation of informational systems for optimizing economical consumption. So after some research (based on identification methodology system type) a physical-mathematical model can be developed that offers the possibility to optimize fuel consumption in the economy pole depending on specific correlations of operating regimes. Resulted relationships allow designing of information systems by proposing solutions which acquire information on movement speed, engine RPM in load (by determining the actual torque through correlations of exhaust gas temperature, moment and torque).Having these relationships we can design, for example, system version with discrete components or with digital system for surveillance engine operation.

Hybrid-cooling, combined cooling, heating, and power systems

Combined cooling, heating, and power (CCHP) systems have the ability to optimize fuel consumption by recovering thermal energy from the prime mover of the power generation unit (PGU). Design of a CCHP system requires consideration, among other variables, of CCHP system components size and type. This study focuses on the analysis of hybrid-cooling, heating, and power (hybrid-cooling CCHP) systems that have an absorption chiller (CH) and a vapour compression system to handle the cooling load. The effect of the size of both cooling mechanisms is analysed in conjunction with the PGU size and efficiency. For better energy performance analysis simulations, results are presented based on the building-CCHP system primary energy consumption (PEC). Hybrid-cooling CCHP systems yield higher primary energy reduction than CCHP systems with an absorption CH alone. To account for the effect of climate conditions, hot and cold climates were considered by performing simulations for Tampa and Chicago weather conditions. The results are presented in tabular form to show the value of the PEC reduction as a function of the PGU size and efficiency, and the size of the absorption CH.