M.Sc. Tezi Görüntüleme

Student: Enes Fatih PEHLİVAN
Supervisor: Yrd. Doç. Dr. İsmail ALTIN
Department: Gemi İnşaatı ve Gemi Makineleri Mühendisliği
Institution: Graduate School of Natural and Applied Sciences
University: Karadeniz Technical University Turkey
Title of the Thesis: Biodiesel Pilot Fueled Natural Gas Engine Simulation Using Stochastic Reactor Model
Level: M.Sc.
Acceptance Date: 20/5/2016
Number of Pages: 135
Registration Number: i3026
Summary:

       The aim of this study is to examine theoretically the influences of simultaneous combustion of two alternative fuels in dual fuel engine on engine performance and exhaust emissions. Method used in this theoretical study is stochastic reactor model approach and the approach is based on probability density function (PDF) as a basis. An engine simulation software based on this approach were utilized to simulate in dual fuel engine included biodiesel as a pilot fuel and natural gas as a main fuel. The software is to run with detailed and reduced chemical kinetic mechanisms. The chemical kinetic mechanism of biodiesel used in this study is represented with reduced methyl decanoate/methyl-9-decenoate/n-heptane contained 71 species and 217 reactions. Simulations were parametrically performed for total 80 different cases exemplified combustion of the biodiesel in natural gas engine. Cylinder pressure and heat release rate characteristics in terms of engine performance and exhaust emissions were investigated. It was observed that simulation pressure and heat release rate characteristics are accordant with experimental data in optimum cases. It was observed that other emissions, excluding NOx emission, did not give results close to experimental data in terms of exhaust emissions. The observed results shows that stochastic reactor model is effectively utilized to investigate the dual fuel engines. In addition, simulation precision is clearly revealed with performed study that utilized fuels depended on accuracy of the chemical kinetic mechanisms.

      

Key Words: Internal Combustion Engines, Marine Engines, Dual Fuel Engines, Biodiesel Pilot Fueled Natural Gas Engine, Stochastic Reactor Model, Probability Density Function