Simulating the Impact of Oxygen Enrichment in a Cement Rotary Kiln Using Advanced Computational Methods

2001 ◽  
Vol 164 (1) ◽  
pp. 193-207 ◽  
Author(s):  
OVIDIU MARIN ◽  
OLIVIER CHARON ◽  
JACQUES DUGUE ◽  
SARAH DUKHAN ◽  
WEI ZHOU
Author(s):  
Francisco J. Martinez Zambrano ◽  
Armin K. Silaen ◽  
Kelly Tian ◽  
Joe Maiolo ◽  
Chenn Zhou

Abstract Steelmaking is an energy-intensive process. Thus, energy efficiency is highly important. Several stages of steelmaking involve combustion processes. One of the most energy-consuming processes in steelmaking is the slab reheating process in a reheat furnace (RF). The energy released by fuel combustion is used to heat steel slabs to their proper hot-rolling temperature. The steel slabs move through the reheat furnace passing the three stages of heating called: Preheating Zone (PZ), Heating Zone (HZ), and Soaking Zone (SZ) to finally leave the discharge door at a rolling temperature of 2375 °F. One way to improve a reheat furnace’s fuel consumption is by implementing oxygen-enriched combustion. This study investigates the implementation of oxygen-enriched combustion in a pusher-type reheat furnace. The increment of oxygen in the combustion process allows for increasing the furnace gas temperature. Consequently, the oxygen enrichment approach allows for the reduction of fuel injection. The principal goal of this investigation is to model the combustion-based on oxygen-enrichment and develop parametric studies of fuel injection rates. The different simulations aim to match the slab heat flux profile of the industrial reheat furnace pusher-type. Computational fluid dynamics are used to generate the slab heat flux distribution. To reach more uniform slab heating, oxygen and fuel ports were alternated. Also, injection angles were modified to optimize slab heating and avoid the impact of hot spots. Thermocouple readings of the industrial reheat furnace are compared to simulation results. The results determined that 40–45% fuel reduction can be achieved.


Author(s):  
Ahmed O. Said ◽  
Ahmed E. E. Khalil ◽  
Daniel Dalgo ◽  
Ashwani K. Gupta

The influence of oxygen enriched air-methane flame under non-premixed and premixed fuel-lean combustion conditions is examined with focus on the emission of NO and CO, combustor exit temperature (Texit), and distribution of OH* chemiluminescence intensity. A cylindrical combustor was used at combustion intensity of 36MW/m3.atm and heat load of 6.25 kW. Results are also reported with normal air (21% oxygen). Oxygen enrichment provided stable combustion operation at lower equivalence ratios than normal air and also reduced CO emission. Increase in oxygen concentration from 21% to 25% and 30% increased the NO and decreased CO emissions at all equivalence ratios examined. Using 30% O2 enriched air in premixed case showed NO emissions of 11.4 ppm and 4.6 ppm at equivalence ratios of 0.5 and 0.4, respectively. Oxygen enrichment also reduced CO emission to 38 ppm at equivalence ratio of 0.5. Operating the combustor with normal air at these equivalence ratios resulted in unstable combustion. OH* Chemiluminescence revealed increased chemiluminescence intensity with the reaction zone to shift upstream at increased oxygen concentration. The exhaust temperature of the combustor increased with oxygen enrichment leading to lower CO concentration and increased combustion efficiency. The oxidizer injected at higher velocities mitigated the impact of reaction zone to move upstream that helped to reduce significantly both the NO and CO emission specifically under non-premixed combustion.


Author(s):  
Dean Bruton

This chapter aims to develop awareness of the changing characterization of design and design education in response to the impact of global crisis and the ongoing introduction of innovative computational design methods and technologies. This chapter presents a strategic vision that includes a range of major concerns in relation to design education’s learning and teaching needs in higher education. The purpose of the chapter is to reconsider the foundation and consequent assumptions required of a vital relevant design education in the 21st century. It reflects on a general academic reassessment of the nature of design education in the light of the impact of computational methods and technologies and asserts a need for the re-envisioning of design education pedagogies in terms of networked interaction and global issues. Specifically it maintains that computational methods and techniques and the institutional adoption of interaction as a key factor in education has transformed the conception and construction of content as well as the delivery of communications across the broad spectrum of both the arts and sciences. It acknowledges the theory of institutional transformation, explores the evidence for such a theory, and discusses design education’s potential pedagogical strategies for reform of higher education.


2020 ◽  
Vol 16 (1) ◽  
pp. 39-57 ◽  
Author(s):  
Jens Frankenreiter ◽  
Michael A. Livermore

The digitization of legal texts and advances in artificial intelligence, natural language processing, text mining, network analysis, and machine learning have led to new forms of legal analysis by lawyers and law scholars. This article provides an overview of how computational methods are affecting research across the varied landscape of legal scholarship, from the interpretation of legal texts to the quantitative estimation of causal factors that shape the law. As computational tools continue to penetrate legal scholarship, they allow scholars to gain traction on traditional research questions and may engender entirely new research programs. Already, computational methods have facilitated important contributions in a diverse array of law-related research areas. As these tools continue to advance, and law scholars become more familiar with their potential applications, the impact of computational methods is likely to continue to grow.


Author(s):  
I.V. Voronich ◽  
V.H. Nguyen

Computational methods for obtaining aerodynamic characteristics of an aircraft are currently a source which supplements the data of aerodynamic experiment. This applies to the improvement of local aerodynamics, as well as the impact of the power plant on the flow around the airframe and aerodynamic characteristics of the aircraft. Despite the development of computational methods and computer technology, the tasks of integrating the power plant impose requirements for the refinement of the computational model, which are not fully implementable within the design cycle. However, simpler models can be potentially improved for situations of moderate aerodynamic interference by taking into account the profiles of variables in the air intake formed when the fan is in the nacelle. The paper considers the application of variants of the boundary condition “actuator disk” in the computational study of the contribution of the working power plant to the aerodynamic characteristics of the configuration. The approach is reliable for solving problems of weak and moderate aerodynamic interference. Engine performance has a weak effect on the overall aerodynamic characteristics at small angles of attack, but the component contributions caused by this factor are noticeable and have a different sign, which indicates the need to analyze this interaction.


2004 ◽  
Vol 18 (5) ◽  
pp. 1282-1290 ◽  
Author(s):  
Juhun Song ◽  
Vince Zello ◽  
André L. Boehman ◽  
Francis J. Waller

Eos ◽  
2021 ◽  
Vol 102 ◽  
Author(s):  
Katerina Dontsova ◽  
Zsuzsanna Balogh‐Brunstad ◽  
Ga�l Le Roux

A new book examines flow of the elements in the biosphere from biological drivers to human influences, and explores the analytical and computational methods used to access biogeochemical cycles.


2017 ◽  
Vol 40 (2) ◽  
pp. 175-199 ◽  
Author(s):  
Irina Stenger ◽  
Klára Jágrová ◽  
Andrea Fischer ◽  
Tania Avgustinova ◽  
Dietrich Klakow ◽  
...  

Focusing on orthography as a primary linguistic interface in every reading activity, the central research question we address here is how orthographic intelligibility can be measured and predicted between closely related languages. This paper presents methods and findings of modeling orthographic intelligibility in a reading intercomprehension scenario from the information-theoretic perspective. The focus of the study is on two Slavic language pairs: Czech–Polish (West Slavic, using the Latin script) and Bulgarian–Russian (South Slavic and East Slavic, respectively, using the Cyrillic script). In this article, we present computational methods for measuring orthographic distance and orthographic asymmetry by means of the Levenshtein algorithm, conditional entropy and adaptation surprisal method that are expected to predict the influence of orthography on mutual intelligibility in reading.


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