Evaluation of a diesel engine optimized by non-evolutionary NLPQL and evolutionary genetic algorithms and assessing second law efficiency: Analysis in exergy loss and chemical exergy

2019 ◽  
Vol 159 ◽  
pp. 113794 ◽  
Author(s):  
Ali Navid ◽  
Shahram Khalilarya
Keyword(s):  
Genetic Algorithms ◽  
Diesel Engine ◽  
Efficiency Analysis ◽  
Exergy Loss ◽  
Second Law ◽  
Evolutionary Genetic ◽  
Chemical Exergy

Analysis of Throttle Opening Variation Impact on a Diesel Engine Performance Using Second Law of Thermodynamics

2009 ◽  
Author(s):  
B. B. Sahoo ◽  
U. K. Saha ◽  
N. Sahoo ◽  
P. Prusty
Keyword(s):  
Diesel Engine ◽  
Direct Injection ◽  
Fuel Efficiency ◽  
Engine Performance ◽  
Second Law Of Thermodynamics ◽  
Operating Conditions ◽  
Second Law ◽  
Engine Fuel ◽  
Availability Analysis ◽  
Second Law Analysis

The fuel efficiency of a modern diesel engine has decreased due to the recent revisions to emission standards. For an engine fuel economy, the engine speed is to be optimum for an exact throttle opening (TO) position. This work presents an analysis of throttle opening variation impact on a multi-cylinder, direct injection diesel engine with the aid of Second Law of thermodynamics. For this purpose, the engine is run for different throttle openings with several load and speed variations. At a steady engine loading condition, variation in the throttle openings has resulted in different engine speeds. The Second Law analysis, also called ‘Exergy’ analysis, is performed for these different engine speeds at their throttle positions. The Second Law analysis includes brake work, coolant heat transfer, exhaust losses, exergy efficiency, and airfuel ratio. The availability analysis is performed for 70%, 80%, and 90% loads of engine maximum power condition with 50%, 75%, and 100% TO variations. The data are recorded using a computerized engine test unit. Results indicate that the optimum engine operating conditions for 70%, 80% and 90% engine loads are 2000 rpm at 50% TO, 2300 rpm at 75% TO and 3250 rpm at 100% TO respectively.

scholarly journals Performance of cycle diesel engine using Biodiesel of olive oil (B100)

2012 ◽  
Vol 36 (3) ◽  
pp. 348-353 ◽  
Author(s):  
Carlos Eduardo Silva Volpato ◽  
Alexon do Prado Conde ◽  
Jackson Antonio Barbosa ◽  
Nilson Salvador
Keyword(s):  
Diesel Engine ◽  
Vegetable Oils ◽  
Diesel Oil ◽  
Efficiency Analysis ◽  
Chemical Processes ◽  
Renewable Fuel ◽  
Tukey Test ◽  
Randomized Design ◽  
Diesel Cycle ◽  
Completely Randomized Design

Biodiesel is a renewable fuel derived from vegetable oils used in diesel engines, in any proportion with petroleum diesel, or pure. It is produced by chemical processes, usually by transesterification, in which the glycerin is removed. The objective of this study was to compare the performance of a four stroke, four cylinder diesel cycle engines using either olive (B100) biodiesel oil or diesel oil. The following parameters were analyzed: effective and reduced power, torque, specific and hourly fuel consumption, thermo-mechanical and volumetric efficiency. Analysis of variance was performed on a completely randomized design with treatments in factorial and the Tukey test applied at the level of 5%. Five rotation speeds were researched in four replications (650, 570, 490, 410, 320 and 240 rpm). The engine fed with biodiesel presented more satisfactory results for torque, reduced power and specific and hourly consumptions than that fed with fossil diesel.

600 MW Direct Air-Cooling Unit Back-Pressure Optimization and Theoretical Analysis

2014 ◽  
Vol 875-877 ◽  
pp. 1739-1743
Author(s):  
Hong Bin Zhao ◽  
Yong Hui Yan ◽  
Meng Li
Keyword(s):  
Efficiency Analysis ◽  
Exergy Efficiency ◽  
Back Pressure ◽  
Exergy Loss ◽  
Air Cooling ◽  
Power Gain ◽  
Cooling Unit ◽  
Before And After ◽  
Actual Operation ◽  
Fan Speed

In recent years, direct air cooling units have developed rapidly in China, but in the actual operation, the back-pressure often deviate from the optimal back-pressure, which affect the economy of the unit. The paper has figured out the optimum back-pressure, fan speed and power gain with the method of equivalent enthalpy drop; the paper also worked out the exergy loss of each device before and after the optimization. Through the exergy efficiency analysis of the devices before and after the optimization, we find out that after optimization, exergy loss of the turbine reduces by 0.954MW and the net amount of the generated power increases 130.5kW, the net exergy efficiency of units improves about 0.018 percent points.

Co-Operative Co-Evolutionary Genetic Algorithms for Multi-Objective Topology Design

2005 ◽  
Vol 2 (1-4) ◽  
pp. 487-496 ◽  
Author(s):  
Kuntinee Maneeratana ◽  
Kittipong Boonlong ◽  
Nachol Chaiyaratana
Keyword(s):  
Genetic Algorithms ◽  
Topology Design ◽  
Multi Objective ◽  
Evolutionary Genetic
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