Development and Application of an Efficient Chemical Reactor Network Model for Oxy-fuel Combustion

Abstract

The excessive computational cost of computational fluid dynamics (CFD) simulations of complex reactors is still a barrier to investigations using detailed chemical kinetics. Chemical rector network modeling is a promising tool for affordable numerical investigations of novel combustor technologies, such as oxy-fuel combustion, using directly coupled detailed chemical kinetics. In this work, a novel chemical reactor network solver, NetSMOKE, which is part of the OpenSMOKE++ suite, is presented and discussed. The numerical model employed, together with the relative solution method, is explained, also exploiting a combined sequential-modular and equation-oriented approach for solving the global system of equations. The novel solver was employed to build a chemical reactor network that represents the Technische Universitaẗ Darmstadt oxy-fuel burner using a reduced number of ideal reactors with directly coupled detailed kinetic models for the first time. On the basis of previously available CFD simulations and measurements, the complex flow is accurately characterized and discretized into macrozones, facilitating the development of a simplified reactor network. Carbon monoxide emissions were analyzed in detail, supported by sensitivity analysis with respect to the reactor temperatures. The sensitivity analysis revealed that the post-flame zone is crucial for the overall CO emission. Therefore, on the basis of the sensitivity analysis, an iterative approach for refining the reactor network model is developed. The increase in the number of ideal reactors in targeted areas of the system allows for significant improvements with respect to CO predictions. The chemical reactor network provides good agreement with the experimental data, requiring only a limited increase in the overall computational cost. The presented tool offers a computationally efficient strategy to investigate and predict the behavior of complex reactors, including the emission of pollutants in combustion devices, allowing for the employment of state-of-the-art, detailed chemical kinetic mechanisms available from the literature.

Investigation of Oxy-Fuel Combustion through Reactor Network and Residence Time Data

“…Studies involving this strategy have typically kept their CRNs very simple, and have not previously incorporated kinetics [32][33][34][35][36][37][38]. As shown in this study, as well as in [49], a fairly detailed RTD-CRN which incorporates complex kinetics can shed light on the underlying phenomena in alternative combustion processes. Such a tool is therefore a valuable asset while exploring new strategies towards the sustainability of the combustion process.…”

“…After fitting the model response against the experimental data, the network can describe the mixing features of the system and the chemical kinetics applied to the CRN. This is achieved by employing the newly developed NetSMOKE [48,49] tool for the kinetic resolution of CRNs, a chemical reactor solver developed in C++. It utilises the OpenSMOKE++ libraries for CSTRs and PFRs [50].…”

Special Issue in Memory of Professor Mário Costa

“…The results show that the design of the microprobe should be specified in the literature, especially for NO species measurements. Nicolai et al 10 investigate a novel reactor network numerical solver. Their study directly applies detailed kinetics to oxy-fuel combustion in the framework of a chemical reactor network.…”