Steady CFD combustion modeling for biomass boilers: An application to the study of the exhaust gas recirculation performance

Gómez, Miguel Ángel; Martín, Rubén; Chapela, Sergio; Porteiro, Jacobo

doi:10.1016/j.enconman.2018.10.052

Cited by 52 publications

(17 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When the agreement between both experimental and simulated results is not sufficient, the model is usually later improved or even reformulated, aiming at obtaining results closer to the empirical ones [6]. For example, Gonzalez et al [7] found certain discrepancies among the predicted and experimental data for H 2 , CH 4 , and CO 2 during gasification in a fixed-bed reactor, subsequently affecting the estimation of other dependent parameters, such as the heating value. In most of the cases, a review is assumed to be required in the model, regardless of the possible (and more probable) inaccuracy of the experimental reference data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of the Feeding Rate on the Transient Behavior of a Biomass Combustor

et al. 2019

View full text Add to dashboard Cite

Monitored variables in biomass combustion devices, such as emissions or temperature, are usually characterized by their averaged values over the entire process, although they tend to present a pulsating behavior. This assumption induces instantaneous errors when experimental data are used in numerical simulation. The interest in obtaining high‐quality experimental information for a proper model validation leads to find an alternative to describe them and to discern which operating variables are the main ones responsible for those fluctuations. The application of frequency‐domain tools, such as coherence, is proposed as a useful solution for determining if the emission and temperature profiles are intrinsically related to any known periodical signal, such as the feeding cycle.

show abstract

Section: Introductionmentioning

confidence: 99%

“…The thermochemical modeling of combustion processes is essential for the development of emission‐containment technologies . Specifically, a proper description of the formation mechanisms of the unburnt species during the oxidation reaction is crucial for predicting how the above‐mentioned emissions can be produced in a given system.…”

Section: Introductionmentioning

confidence: 99%

Influence of the Feeding Rate on the Transient Behavior of a Biomass Combustor

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The CO2 emission in mol% is compared and given for the fuels on the combustor axis. When the combustion is complete, CO2 emission is controlled by the carbon content in different fuels [71].…”

Section: Flue Gas Compositionmentioning

confidence: 99%

Design, manufacture and test of a micro-turbine renewable energy combustor

Bazooyar

Darabkhani

2020

Energy Conversion and Management

View full text Add to dashboard Cite

The ever-increasing demand on highly efficient decentralized power generation with low CO2 emission has made microturbines for power generation in micro-combined heat and power (mCHP) generation systems popular when running on biofuels as a renewable source of energy. This document presents a state-of-the-art design, and optimization (in terms of design, performance and emission control) of a micro-turbine renewable energy combustor that fits into the existing Bladon 12kWe recuperated microturbine plenum while running on a range of biofuels as it can successfully provide the required power of the mCHP. Governing equations for in-depth analysis of the combustor consist of manufacturer empirical data to simulate system-level operation with respect to replacement of the fossil with biofuels. The Model developed and validated at company's ISO conditions confirms the output power of the new combustor fits the conventional system with slight eco-energy improvements. The modeling of the combustor in a complete microturbine assembly system is performed, then was utilized to further analysis of the microturbine with the designed combustor. The experimental results gave on average 46.7% electrical efficiency, 83.2% system efficiency, 12 kWe electrical power, and 90% recuperator effectiveness at nominal operating conditions of microturbine (MT). Sensitivity analyses evaluate changes in performance with respect to fuel phase (e.g., liquid or gaseous) and design variables (e.g., orientation, shape, and dimensions of combustor), leading to energy optimization of the unit.Experimental findings demonstrate that the combustor in microturbine can meet the target performance specifications of a company conventional diesel microturbine with significant savings. An objective function including both combustor and recuperator technical energy data is defined for finding the best ratio of fuel and air and their flow rates to find the most effective operating points for the operation of MT. Annual time series simulations completed for Coventry, West Midlands, United Kingdom indicate a new combustor can reduce operational costs of diesel 3 fuel combustor by 8%, 2%, 36%, and 25% when supplying bioethanol, DME, biogas, and NG, respectively. Annual operating time of the renewable microturbine combustor at rated capacity included an 11% reduction in exergy loss with biogas fuel relative to diesel fuel.

show abstract

“…In the research of Gómez et al, turbulence was modeled by a realizable k-ε model. They simulated a biomass boiler and analyzed the thermal behavior using exhaust gas recirculation [12]. A realizable k−ε model with enhanced wall functions was chosen in the work of Zadravec et al They investigated air staged combustion, which led to lower emissions and higher thermal efficiency [13].…”

Section: Introductionmentioning

confidence: 99%

Dependence of the Flue Gas Flow on the Setting of the Separation Baffle in the Flue Gas Tract

et al. 2021

View full text Add to dashboard Cite

With the combustion of solid fuels, emissions such as particulate matter are also formed, which have a negative impact on human health. Reducing their amount in the air can be achieved by optimizing the combustion process as well as the flue gas flow. This article aims to optimize the flue gas tract using separation baffles. This design can make it possible to capture particulate matter by using three baffles and prevent it from escaping into the air in the flue gas. The geometric parameters of the first baffle were changed twice more. The dependence of the flue gas flow on the baffles was first observed by computational fluid dynamics (CFD) simulations and subsequently verified by the particle imaging velocimetry (PIV) method. Based on the CFD results, the most effective is setting 1 with the same boundary conditions as those during experimental PIV measurements. Setting 2 can capture 1.8% less particles and setting 3 can capture 0.6% less particles than setting 1. Based on the stoichiometric calculations, it would be possible to capture up to 62.3% of the particles in setting 1. The velocities comparison obtained from CFD and PIV confirmed the supposed character of the turbulent flow with vortexes appearing in the flue gas tract, despite some inaccuracies.

show abstract

Steady CFD combustion modeling for biomass boilers: An application to the study of the exhaust gas recirculation performance

Cited by 52 publications

References 37 publications

Influence of the Feeding Rate on the Transient Behavior of a Biomass Combustor

Influence of the Feeding Rate on the Transient Behavior of a Biomass Combustor

Design, manufacture and test of a micro-turbine renewable energy combustor

Dependence of the Flue Gas Flow on the Setting of the Separation Baffle in the Flue Gas Tract

Contact Info

Product

Resources

About