Time Integration of the Chemistry of Combustion Processes in Industrial Furnaces, using Julia: Time Integration of the Chemistry of Combustion Processes in Industrial Furnaces, using Julia

Combustion is and remains for the foreseeable future an essential chemical process. The physical and mathematical modelling of such processes can help to optimise the design and operation of combustion furnaces which is critical for fuel efficiency. Given the combined complexity and interaction of the gas flow dynamics and the reaction processes...

Soot Emission Prediction in RQL Type Aero Engine Combustor

In this thesis, a modelling approach to model soot emissions for a Rich Burn-Quick Quench- Lean Burn (RQL) type aero engine combustion chamber will be presented. The sot emissions will be modelled by coupling Chemical Reactor Network (CRN) approach with Method of Moments with Interpolative Closure (MOMIC), a detailed soot formation model. The...

A Chemical Reactor Network Approach for Modeling Pollutant Formation in Large Industrial Furnaces in Julia

The chemical reactor network (CRN) approach is a practical tool for precisely predicting the species concentration in combustion processes with low computational cost. This work examines the capability of the emerging Julia programming language and its ecosystem in solving large CRNs. The packages DifferentialEquations.jl and ModelingToolkit.jl...

Modeling and Prediction of Pollutant Emissions in an Axial Turbine

The aviation market has seen a drastic rise in past decades, and is projected to follow a similar trend in the coming years. Stricter regulations and ambitious targets have been framed to effectively curtail the rise in emissions due to this surge in aviation. A multi-fuel blended wing body aircraft is being developed in TUDelft, with the goal...

The Effect of Solving the Energy Equation on Combustion Simulation using Automatically Generated Chemical Reactor Networks

In the field of combustion systems, methods and tools are under development to fulfill the need for fast and accurate prediction of emissions such as NO and CO. CFD-CRN is a hybrid approach that utilizes a combination of computational fluid dynamics (CFD) and a chemical reactor network (CRN) to simulate the flow field and chemical kinetics of a...

Impact of Exhaust Gas Recirculation on NOx emissions in non-premixed combusted Gas Turbines using CRN

The major challenges in the world today is to reduce pollutant emissions from gas turbines while still being able to retain the maximum efficiency in the gas turbine. Especially due to stringent norms on emissions, the research on gas turbines have increased to reduce NOx levels. Most of the gas turbines have been using non-premixed combustion...

Automatic Generation of Chemical Reactor Networks for Combustion Simulations

Gas turbines are the power house of most modern day aircrafts. Combustion of fossil fuels provides the energy required, but this produces harmful emissions. With ever increasing strictness on emissions regulation, it is becoming even more necessary to design gas turbine combustion chambers with the intent of low pollutant output. Gas turbine...

Parametric Emission Prediction Model in Gas Turbines with Exhaust Gas Recirculation

One of the challenges in gas turbines is in the reduction of NOx and CO emissions due to simultaneous<br/>dependence on stringent emission norms and subsequent demand for change in operating conditions. To cater the volatile demand of power supply, most of the gas turbines have to be flexible to changing loads. Closer the load is to full load,...

Chemical Reactor Network for LDI Combustor: CRN development and Analysis of Different Fuels

Prediction of emissions from combustion systems is a complex problem involving the coupling between the flow field and chemistry. CFD analysis is the most commonly employed approach. However, it has the drawback that a very high computational cost prevents the use of detailed chemistry models. This master thesis, which focuses on NOx emissions,...