CFD analysis of natural gas substitution with syngas in the industrial furnaces

Jóźwiak, Piotr; Hercog, Jarosław; Kiedrzyńska, Aleksandra; Badyda, Krzysztof

doi:10.1016/j.energy.2019.04.179

Cited by 21 publications

(9 citation statements)

References 23 publications

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“…Based on the research study of the Micro Electric Vehicle design, there are several research that used CFD in performing analysis such as battery efficiency [4], headlamp condensation [5], radial fan for motor cooling [6] and many more [4]- [10]. Computational Fluid Dynamics (CFD) is an advanced type of aerodynamic analysis software that usually used to understand the relation of several parameters in case study.…”

Section: Computer Fluid Dynamicmentioning

confidence: 99%

Shape Optimization with Computer Fluid Dynamic (CFD) Analysis of Micro Electric Vehicle

Razak*,

Shafee,

Shamsuddin

et al. 2019

IJRTE

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Car drag reduction activities are parts of exterior body improvement which related to energy consumption, wind noise and stability of overall vehicle. Micro Electric Vehicle (MEV) has emerged as one of human mobility that aligned with the concept of low energy consumption. The concept has gained popularity due to its simplicity in design and manufacturing capability which in overall, leads to less energy consumption for both vehicle owner and manufacturer. The aim of this work is to design an MEV where the passenger’s anthropometry of 95th percentile male and 5th percentile female have been considered as a main factor. 3D data of MEV has been developed based on scaled down conceptual design from clay model. Computer Fluid Dynamic (CFD) analysis were used on actual size of MEV to determine the effect of the vehicle height. Maximum speed of 30m/s has been introduced in the analysis. The speed is a simulation from real world condition of mobility which will be the limit speed of the vehicle. As a result the 128mm increase in streamline height has significant impact on the drag force where the drag coefficient increase approximately 31% to the initial height. As a conclusion CFD approach can be used to successfully determine an optimal height of MEV based on streamline design. The finding significantly assist in future improvement of streamline design of the MEV.

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Section: Computer Fluid Dynamicmentioning

confidence: 99%

Shape Optimization with Computer Fluid Dynamic (CFD) Analysis of Micro Electric Vehicle

Razak*,

Shafee,

Shamsuddin

et al. 2019

IJRTE

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show abstract

“…In order to overcome these difficulties, it is a common practice to model the flame through computational fluid dynamics (CFD) or finite elements methods (FEM), which are types of discretization methods. These methods are used to approach combustion modeling problems such as, for instance, evaluating and comparing flame characteristics and dynamics for different fuel types, presenting a simulated behavior for the flame [1,2] and then predicting possible unstable conditions. Thus, these methods are appropriate when one wants to assess the behavior of flames on "what if" kind of problems.…”

Section: Introductionmentioning

confidence: 99%

On the dynamics of flame images identified through computer vision and modal methods

Chui

Neto

Trigo

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Combustion processes in industrial furnaces pose challenging difficulties when one attempts to model flame. Chemical and physical phenomena interact and affect flame behavior in such a complex way that several different approaches have been under development to tackle the modeling problem. Flame instabilities could potentially harm safety operation of the furnace. Ultimate goal of flame control is to develop means to actuate over the flame state in order to avoid dangerous situations. A critical step towards this objective is to come up with a reliable model for the flame, so that control theory could be applied to automatically maintain flame state within safe standards. This work proposes a methodology to model the dynamics of flames through computer vision to acquire and process flame images in order to extract image features evolution in time. Then, a dynamic model is identified through random decrement algorithm and Ibrahim time domain method, which are operational modal analysis techniques, together with a random contribution. Flames from seven different combustion conditions were modeled by such methodology, and their estimated values were compared with experimental data for validation. Results show that estimated and experimental data possess a high degree of correlation, thus confirming the viability of the proposed dynamic model of flames.

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“…There have been no studies investigating the impact of hot biogenic syngas co-firing on heat treatment process parameters in steel preheating furnaces. The preliminary study preceding this work has shown that the use of low-calorific alternative fuels (specifically: basic oxygen furnace gas and biogenic synthesis gas) does not excessively change the course of the heating process, and that the introduction of dedicated syngas burners is a preferred option of organizing co-firing in the considered furnace [17].…”

Section: Introductionmentioning

confidence: 99%

Thermal Effects of Natural Gas and Syngas Co-Firing System on Heat Treatment Process in the Preheating Furnace

et al. 2020

Self Cite

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Preheating furnaces, which are commonly used in many production sectors (e.g., iron and steel), are simultaneously one of the most energy-intensive devices used in the industry. Partial replacement of natural gas with biomass-derived synthesis gas as a fuel used for heating would be an important step towards limiting industrial CO2 emissions. The time dependent computational fluid dynamics (CFD) model of an exemplary furnace was created to evaluate whether it is possible to obtain 40% of energy from syngas combustion without deterioration of thermal parameters of the treated load. As an outcome, a promising method to organize co-firing in the furnace was indicated. The obtained results show that the co-firing method (up to 40% thermal natural gas replacement with syngas), assuming low air-to-fuel equivalence ratio (λNG = 2.0) and even distribution of power among the furnace corners, lead to satisfactory efficiency of the heat treatment process—the heat transferred to the load exceeds 95% of the heat delivered to the load in the reference case), while carbon dioxide emission is reduced from 285.5 to 171.3 kg CO2/h. This study showed that it is feasible (from the heat transfer point of view) to decrease the environmental impact of the process industries by the use of renewable fuels.

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CFD analysis of natural gas substitution with syngas in the industrial furnaces

Cited by 21 publications

References 23 publications

Shape Optimization with Computer Fluid Dynamic (CFD) Analysis of Micro Electric Vehicle

Shape Optimization with Computer Fluid Dynamic (CFD) Analysis of Micro Electric Vehicle

On the dynamics of flame images identified through computer vision and modal methods

Thermal Effects of Natural Gas and Syngas Co-Firing System on Heat Treatment Process in the Preheating Furnace

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