Optimizing the heat transfer performance of the recovery boiler superheaters using simulated annealing, surrogate modeling, and computational fluid dynamics

Maakala, Viljami; Järvinen, Mika; Vuorinen, Ville

doi:10.1016/j.energy.2018.07.002

Cited by 33 publications

(4 citation statements)

References 107 publications

(95 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The optimization of the a priori geometry using reliable numerical methods presents a significant problem in the design of such extremely large-scale systems. Maakala et al [11] endeavored to demonstrate a computational optimization framework and adjust the design of the superheater zone in order to improve heat transfer. A surrogate-based analysis and optimization (SBAO) approach is used to construct the CFD-optimization framework; this method includes a simulated annealing optimization algorithm, a local polynomial regression surrogate model, and a Reynolds-averaged Navier-Stokes (RANS) CFD model.…”

Section: International Journal Of Innovative Research In Computer Sci...mentioning

confidence: 99%

Simulated Annealing and Its Applications to Mechanical Engineering: A Review

Giri¹

2023

International Journal of Innovative Research in Computer Science &Amp; Technology (IJIRCST)

View full text Add to dashboard Cite

This work focuses on the significant family of stochastic approaches for global optimization known as simulated annealing (SA), which is based on the key concept of annealing, which describes the cooling of a solid until it reaches the configuration of lowest energy. This paper presents a review of simulated annealing applications meant to solve many problems in the field of mechanical engineering.

show abstract

Section: International Journal Of Innovative Research In Computer Sci...mentioning

confidence: 99%

Simulated Annealing and Its Applications to Mechanical Engineering: A Review

Giri¹

2023

International Journal of Innovative Research in Computer Science &Amp; Technology (IJIRCST)

View full text Add to dashboard Cite

show abstract

“…However, a lack of information has been observed in literature regarding the "rules" for the design of boilers mixing channel. Nowadays, this issue can be overcome by the coupling of CFD and shape optimization algorithms, which represents a viable path toward a robust and fast design strategy [12,13,14,15,16,17]. In fact, optimization techniques allow to drastically reduce the time required by the trial and error procedure traditionally employed by the designer, who has to produce only a tentative initial geometry.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of the Mixing Efficiency for a Steam Boiler Premix Channel with a Surrogate Based Optimization

Morelli¹,

Ghidoni²,

Baldrani³

2021

14th WCCM-ECCOMAS Congress

View full text Add to dashboard Cite

Global warming and the ever-increasing pollutants in the atmosphere force many governments to limit emissions. The use of methane as a fuel is widespread in the boiler industry, due to the low pollutant levels in its exhaust gas products. Nevertheless, in the combustion process, nitrogen and oxygen bind giving rise to a series of molecular compounds called NO x , which are considered pollutants because they react in the atmosphere causing the production of acid rain and reducing the level of ozone [1]. The aim of this work is to improve the mixture quality between fresh air, methane and recirculated exhaust gases introduced within Ecovapor Boiler's Mixing-Channel and, as consequence, to increase the combustion quality and limit the pollution production. The geometry is parameterized within Ansys Space Claim CAD software [2], and gas mixture flow is computed with Ansys Fluent solver [3]. To achieve these goals an automated shape optimization is adopted, which couples the Ansys Workbench environment to Dakota software [4]. In particular, a multi-objective genetic algorithm (MOGA) [5] combined with the Kriging response surface method is used, while the geometries are evaluated by solving for a compressible mixture of non-reacting gases the steady-state Reynolds Average Navier-Stokes (RANS) equations coupled with the k-ε Realizable turbulence model [6].

show abstract

“…The energy conversion performed through combustion in furnaces causes several pollutant emissions including carbon dioxide, carbon monoxide, and NOx. Past investigations have already shown that the computational fluid dynamics (CFD) simulation is a powerful tool to analyze various physical phenomena occurring in laboratory and large-scale furnaces/boilers [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Numerical study on NOx reduction in a large-scale heavy fuel oil-fired boiler using suitable burner adjustments

Darbandi

Fatin

Bordbar

2020

Energy

View full text Add to dashboard Cite

Optimizing the heat transfer performance of the recovery boiler superheaters using simulated annealing, surrogate modeling, and computational fluid dynamics

Abstract: The author independently initiated the research, conducted the research, and wrote the manuscript. Prof. Järvinen and Prof. Vuorinen provided valuable comments and guidance.

Cited by 33 publications

References 107 publications

Simulated Annealing and Its Applications to Mechanical Engineering: A Review

Simulated Annealing and Its Applications to Mechanical Engineering: A Review

Enhancement of the Mixing Efficiency for a Steam Boiler Premix Channel with a Surrogate Based Optimization

Numerical study on NOx reduction in a large-scale heavy fuel oil-fired boiler using suitable burner adjustments

Contact Info

Product

Resources

About