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Literature Review of accelerated CFD Simulation Methods towards Online Application
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. ABB AB Corp Res, Sweden.ORCID iD: 0000-0002-9490-9703
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. ABB AB Corp Res, Sweden.ORCID iD: 0000-0001-8849-7661
2015 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 75, 3307-3314 p.Article, review/survey (Refereed) Published
Abstract [en]

Engineering advanced methods for example Computational Fluid Dynamics (CFD) are heavily used to solve, design and model complex industrial applications. They provide high accuracy however, the simulation time is too long and this limit its generalized use dramatically as for control purposes. CFD tools and methods are often used to analyze the energy distribution and management in different industrial processes like hot rolling industries, furnaces and boilers as well as a number of areas where mixing and thermal management are of importance. Huge amounts of energy are often fed into such processes. A small amount of optimization can provide a very large energy saving. It is now an urgent need to have a tool like real-time CFD to analyze, control and optimize on-line various industrial processes. This tool or method can contribute to build efficient and sustainable energy systems. The scope of this work is to find alternative simulation techniques that can also address industrial applications and provide solutions within a decent accuracy and resolution. In this paper we provide a literature review of those methods that can be categorized as mesh based, mesh free and hybrid that are capable of providing appropriate results in some key areas of interest. As a next step one of these methods will be implemented and coupled to CFD simulation of cooling impinging jets used to control the heat transfer and temperature behavior of a hot flat surface in a hot rolling process where thermal energy and cooling water are used with excess. (C) 2015 The Authors. Published by Elsevier Ltd.

Place, publisher, year, edition, pages
2015. Vol. 75, 3307-3314 p.
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-29341DOI: 10.1016/j.egypro.2015.07.714ISI: 000361030005054Scopus ID: 2-s2.0-84947093405OAI: oai:DiVA.org:mdh-29341DiVA: diva2:861037
Conference
7th International Conference on Applied Energy (ICAE), MAR 28-31, 2015, Abu Dhabi, U ARAB EMIRATES
Available from: 2015-10-15 Created: 2015-10-15 Last updated: 2017-12-01Bibliographically approved
In thesis
1. TOWARDS ACCELERATED SIMULATIONS FOR FLUID FLOW AND HEAT TRANSFER OF LARGE INDUSTRIAL PROCESSES
Open this publication in new window or tab >>TOWARDS ACCELERATED SIMULATIONS FOR FLUID FLOW AND HEAT TRANSFER OF LARGE INDUSTRIAL PROCESSES
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The manufacturing sector is one of the biggest energy consumers. The iron and steel markets in China are growing very fast. Several studies have been performed to evaluate the Chinese steel sector in terms of energy savings and CO2 emissions. The results of the studies showed that the major energy savings expected within 2020 and 2030 timeframe will be from industrial furnaces in steel mills. For the Swedish steel industry, it is important to be very efficient in order to remain competitive. The hot rolling process in the steel industry is a long process, where big slabs are heated in a furnace above the recrystallization temperature to roll the metal into a thin sheet and then the sheet is cooled at the Runout table using water. The amount of energy used during the process directly influences the price of the products. Moreover, the government policy on energy usage and CO2 emissions, the competitive market and the water scarcity, demand an optimal process operation to reduce energy consumption and greenhouse gas emission. Computer simulation is the best and most convenient way to approximate real-world processes; therefore, there is a need to have a real-time online simulation tool for process optimisation, decision support and diagnostics in different industries.

Computational fluid dynamics (CFD) is a robust tool for simulating almost any kind of real-world process related to fluid flow, heat transfer and combustion. However, simulating real-world processes in real-time using CFD is very challenging due to the complexity involved in the physical phenomena studied. In this thesis, CFD simulations have been performed in small scale to understand the physics and perceive the complexity involved in the heating process of steel slabs and the cooling process of the steel sheets at hot rolling steel industries. The results from the simulations are successfully validated using experimental and theoretical results published in open literature. Past experience suggests using mesh-based commercial CFD solvers for simulating industrial processes, only if accurate and detail results are desired. However, the computational performance of these solvers shows limitations from a real-time perspective and indicates the need for alternative CFD methods and solvers. In the literature review performed as part of the first stage of this work, we have identified different alternative methods which can be used to perform CFD simulations in real-time or near real-time for large industrial processes. The thesis discusses the limitations of different types of CFD methods and points out the difficulties and challenges in utilising these methods for simulating large industrial processes. Our preliminary simulation work brings light towards the goal of multi-phase multi-physics real-time simulations.

Abstract [sv]

Tillverkningsindustrin är en av de största energikonsumenterna.  Järn och stålindustrin i Kina växer väldigt fort. Flera studier har genomförts för att utvärdera den kinesiska stålindustrisektorn vad gäller energieffektivisering och utsläpp av CO2. Resultaten av studierna visade att de stora energibesparingarna som kan genomföras mellan 2020 – 2030 kommer från industriella ugnar i stålverken. För den svenska stålindustrin är det viktigt att vara mycket effektiv för att bibehålla konkurrenskraft. Varmvalsningsprocessen i stålindustrin är en lång process, där stora skivor hettas upp i en ugn över den temperatur där materialet rekristalliseras och metallen valsas sedan i tunna skivor. Skivorna kyls sedan på utrullningsbordet med vatten. Energimängden som används under processen påverkar direkt priset på produkterna. Dessutom kräver stränga statliga bestämmelser, en konkurrenskraftig marknad och bristen på vatten optimala processförhållanden för att reducera energikonsumtionen och utsläppen av klimatgaser. Datasimulering är det bästa och mest pålitliga verktyget att approximera en verkliga processer. Det finns därför ett behov att ha ett online simuleringsverktyg för processoptimering, beslutsstöd och diagnostik i olika industrier.

CFD-simulering (Computational fluid dynamics) är ett robust simuleringsverktyg för nästan alla typer av verkliga processer relaterade till vätskeflöde, värmeöverföring och förbränning. Dock är simulering av verkliga processer med CFD mycket utmanande på grund av komplexiteten i de fysikaliska fenomenen som ska studeras.  I den här avhandlingen har CFD-simulering använts i liten skala för att förstå fysikaliska egenskaper och komplexiteten i värmningsprocesser av stålskivor och kylningsprocessen av de tunna stålplåtarna vid varmvalsningsprocessen i stålindustrin. Resultaten från simuleringarna är framgångsrikt validerade från experimentella och teoretiska resultat publicerade i litteraturen. Tidigare erfarenheter föreslår nätverksbaserade kommersiella CFD verktyg för att simulera industriella processer om korrekta och detaljerade resultat ska fås. Dock är prestandan för dessa verktyg begränsade ur ett verklighetsperspektiv och indikerar behovet av alternativa CFD-metoder och verktyg. Det första steget i detta arbete var att genomföra en litteraturgenomgång av tidigare studier. Vi identifierade då alternativa metoder som skulle kunna användas för att genomföra CFD-simulering i realtid och i nära realtid för stora industriella processer. Avhandlingen diskuterar begränsningar av olika CFD-metoder och synliggör svårigheter och utmaning i att utnyttja dessa metoder för att simulera stora industriella processer. Vårt preliminära simuleringsarbete är ett litet steg på vägen i målet att producera flerfasiga och multifysikaliska realtidssimuleringar.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2016
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 235
National Category
Environmental Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-31443 (URN)978-91-7485-264-6 (ISBN)
Presentation
2016-06-09, Kappa, Mälardalens högskola, Västerås, 13:15 (English)
Opponent
Supervisors
Available from: 2016-04-21 Created: 2016-04-20 Last updated: 2016-06-07Bibliographically approved

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Hosain, Md LokmanFdhila, Rebei Bel

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