Prof. Mathias J. Krause
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Mathias J. Krause studied mathematics with economics at the Universität Karlsruhe (TH) in Germany and the Cardiff University in Wales. He graduated in 2006. Afterwards, he joined the Institute of Applied and Numerical Mathematics (IANM) at the Karlsruhe Institute of Technology (KIT). In 2010, he received a doctorate with his thesis on fluid flow control and optimisation. Since April 2013, he heads the interdisciplinary Lattice Boltzmann Research Group at KIT. His research interests are mainly dedicated to the fields of applied mathematics, applied computer science with focus on High Performance Computing (HPC), Computational Fluid Dynamics (CFD) and optimisation under the constraints of partial differential equations. He is initiator and main author of the open source library OpenLB that is a C++ code for the simulation of 2D and 3D fluid flows by means of LBM. His work was honoured with several prized and a membership as WIN-Kollegiat at the Heidelberg Academy of Science.
Fluid Flow Control and Simulation with Lattice Boltzmann Methods: Application to Process and Medical Engineering
An overall strategy for numerical simulations and optimisation of fluid flows is introduced. The integrative approach takes advantage of numerical simulation, high performance computing and newly developed mathematical optimisation techniques, all based on a mesoscopic model description and on Lattice Boltzmann Methods (LBM) as discretisation strategies. The resulting algorithms were implemented in a highly generic way in the framework of the open source library OpenLB (http://www.openlb.net). In the talk, the approaches and realisations are illustrated by means of various fluid flow simulation and optimisation examples. Thereby, particular focus is placed on particle-laden fluid flows for process engineering applications and flows in the human respiratory and cardiovascular system.
Prof. Ming-Jia Li
Xi’an Jiaotong University, Xi'an, China
Dr. Ming-Jia Li is the associate professor in School of Energy & Power Engineering, Xi’an Jiaotong University. She was granted bachelor degree from University of Liverpool, U.K and master degree from University of Nottingham, U.K. She obtained the doctoral degree from Xi’an Jiaotong University with the joint program cooperated by Columbia University, U.S., followed by the Postdoc fellow in Columbia University, U.S. She mainly focuses on theory and technology of high energy efficiency utilization and biomass carbon sequestration. She was awarded international and national awards such as Young Scientist Award of Asian Union of Thermal Science and Engineering, National Innovative Talents Support Plan of China Postdoctoral Foundation, Thousands Talent Plan in Shannxi Province etc. She published 56 SCI papers in top international journals with h-index of 19. Among them, 8 papers are selected in Essential Science Indicators (1% top) including 2 Hot papers (0.1% top) and 6 Research Front papers. She gave presentations for more than 11 times in international conferences and universities, 3 invited talks in international conferences. She served as 3 session chairs in international conferences. She also has 7 patents of invention and 3 software copyrights. She is the member of Editorial Board in Journal of Energy & Environment and being invited as the guest editor of Journal of Energy. Moreover, she serves as reviewers of about 20 international journals and the secretary general to co-found the 1st International Conference on Supercritical CO2 Power System successfully. As a PI, she totally hosted 22 research programs, Eg. National Natural Science Foundation of China, National Key Research and Development Program subtopics, National Innovative Talents Support Plan of China Postdoctoral Foundation, and International Cooperation Program etc.
A numerical and experimental analysis of multiphysical effects on microalgae growth in photobioreactors
In the photosynthesis process of microalgae growth, light energy is converted into biomass energy that sequestrating CO2 in the produced carbohydrate. Microalgae cultivation becomes a promising solution to limit CO2 emission and produce renewable energy because of its high efficiency and outstanding productivity. There is a complex multi-physical process for the microalgae cultivation in photobioreactors (PBRs). The gas-liquid multiphase flow in the cultivation medium carries the microalgae cells to circulate in the PBR with non-uniform light intensity distributions. The concentration of nutrients and CO2, as well as the light history of cells, influence the growth of microalgae simultaneously. In order to analyze the influences of multiphysical effects on the growth of microalgae and carbon sequestration, a comprehensive model including the liquid-gas multiphase flow, light distribution, microalgae cell motion and growth kinetics should be established. In this work, the comprehensive multi-physical model for the simulation of microalgae growth in PBRs is presented. The free-surface lattice Boltzmann model is developed to simulate the bubble flows. The radiative transfer equation with collimated light irradiation is solved by a discrete ordinate model to provide the light intensity distribution. The microalgae cell motion is simulated by a Lagrangian tracking model. The combination of the above models provided the light history of microalgae cells. By coupling with kinetic models, the growth of biomass concentration is finally obtained. Meanwhile, a temporal extrapolation scheme is proposed to bridge the gap between time scales for flow simulation in several seconds and the microalgae growth in hours and days. The analyses about the interaction between mass and light transportation in the PBRs are presented, and their influences on the growth of microalgae will be discussed. Experiments are further conducted to validate the proposed multi-physical models and the optimization of microalgae cultivation. An optimal nutrients supplementary strategy is proposed to optimize the growth rate by maintaining the optimal concentration of nitrogen and phosphorus. Finally, the evaluation system of flow fields in PRBs is established based on the above numerical and experimental results that include the integrating parameters such as turbulent kinetic energy, dead zone area, and gas holdup. Based on the evaluation criteria, the flow field of plate PRBs and column PRBs are optimized. In summary, this study explains the influences of multiphysical effects on microalgae growth in PBRs. It provides guidance to the optimal ambiance of carbon sequestration and the future applications of PRBs.
Prof. Henrik Lund
Energy Planning at Aalborg University, Aalborg, Denmark
Henrik Lund is a highly ranked world leading researcher. He is listed among ISI Highly Cited researchers ranking him among the top 1% researchers in the world within engineering.
Editor-in-Chief of Elsevier International Journal ENERGY.
Author of the book: Renewable Energy Systems: www.elsevierdirect.com
Architect behind the Advanced Energy Systems Analysis Model EnergyPLAN: www.EnergyPLAN.eu
Former head of department and head of several European and Danish research projects including the 4DH (Strategic Research Centre for 4th Generation District Heating Technologies and Systems) financed by the Danish Council for Strategic Research involving 32 university and industrial partners in Denmark, Sweden, Croatia and China. 2012-2017. www.4DH.dk, the Strategic Research Project CEESA (Coherent Energy and Environmental System Analysis, 2007-2011) www.CEESA.dk and the EU 6th framework program DESIRE (Dissemination Strategy on Electricity Balancing for Large Scale Integration of Renewable Energy). 2005-2007. www.project-desire.org
Smart Energy Systems and 4th Generation District Heating
Future sustainable national energy solutions may benefit substantially from including district heating and cooling as a measure of energy efficiency. However, district heating technologies will have to adjust to the needs of future smart energy systems in order to fulfil its role also known as 4th Generation District Heating (4GDH). Unlike the previous three generations, the development of 4GDH involves balancing the energy supply with energy conservation and thus meeting the challenge of supplying increasingly more energy efficient buildings with space heating and domestic hot water (DHW), while reducing losses in district heating (DH) grids. Furthermore, 4GDH involves strategic and innovative planning and the integration of DH into the operation of smart energy systems. Following a review of recent 4GDH research, this presentation quantifies the costs and benefits of 4GDH in future sustainable energy systems. Costs involve an upgrade of heating systems and of the operation of the distribution grids, while benefits are lower grid losses, a better utilization of low temperature heat sources and improved efficiency in the production compared to previous district heating systems. It is quantified how benefits exceed costs by a safe margin with the benefits of systems integration being the most important.
Prof. Oronzio Manca
Università degli Studi della Campania “Luigi Vanvitelli”, Caserta, Italy
Oronzio Manca is professor of Thermal Sciences at Università degli Studi della Campania “Luigi Vanvitelli”. He has the five years degree in Mechanical Engineering in July 1979 (cum laude) at Università degli Studi di Napoli, Federico II. He had a CNR-NATO SENIOR fellowship at Department of Mechanical and Aerospace Engineering -RUTGERS - The State University of New Jersey. He was coordinator of Mechanical Engineering Courses and of Industrial Engineering Area and from June 2016 he is Head of the PhD School Politecnica e delle Scienze di Base. The main scientific activities are on active solar systems; passive solar systems; refrigerant fluids; natural and mixed convection in open ended cavity with and without porous media; conduction in solids irradiated by moving heat sources; combined radiative and conductive fields in multilayer thin films; analytical and numerical solutions in material processing; thermal control of electronic equipment and solar systems, heat transfer augumentation by nanofluids. More recent research interest are related to heat transfer in porous media with main references to metal foams, heat transfer in microchannels with porous media, enhancement heat transfer techniques, such as baffles in channels and nanofluids, sensible and latent thermal energy storage systems analysis and nano PCM. He has been and is scientific coordinator of several research grants. He is member of the American Society of Mechanical Engineering, Italian Society Energy Management (AIGE), Italian Society of Thermo-Fluiddynamics, Italiana di Termofluidodinamica (UIT). Associate Editor for the ASME Journal of Heat Transfer, from July 2010 to June 2016, and Journal of Porous Media from September 2010. He is author or coauthor of 560 scientific papers (139 peer reviewed journal papers and 14 book chapters) and his Scopus h-index is 32.
It will be available soon.
Prof. Krishnaswamy Nandakumar
Louisiana State University, Baton Rouge, LA
Dr. K. Nandakumar is currently Gordon A and Mary Cain Chair Professor at Louisiana State University. Prior to this he was the GASCO Chair Professor at The Petroleum Institute, Abu Dhabi. Formerly he was in the Department of Chemical and Materials Engineering at the University of Alberta, Edmonton, Canada for nearly 25 years. Dr. Nandakumar received his B. Tech from Madras University in 1973, M. Sc from University of Saskatchewan in 1975 and his PhD from Princeton University in 1979. He has received the Alexander von Humnboldt research fellowship from the German government in 1989-90 and the Albright & Wilson Americas Award from the Canadian Society of Chemical Engineering in 1991 for distinguished contributions to chemical engineering before reaching the age of 40. Dr. Nandakumar was elected as Fellow of the Chemical Institute of Canada in 1991 and a Fellow of the Engineering Institute of Canada in 2006 and Fellow of the Canadian Academy of Engineering in 2007. He has received, from the University of Alberta, the McCalla Professorship (1992), the Killam Annual professorship (2001) for excellence in research and the Rutherford Award (2001) for excellence in teaching. He has also received the Excellence in Education award (2002) from APEGGA, the professional engineering association in Alberta. He was Editor-in-Chief of The Canadian Journal of Chemical Engineering during 2005-2009. Dr. Nandakumar is also the recipient of the premier award of The Canadian Society for Chemical Engineering, called the R.S. Jane Memorial Award in 2008.
Advanced Computational Transport Phenomena Models for Design Innovations in Process Industries
The manufacturing technologies of the future for converting chemicals, materials, energy etc will be done in efficient, distributed, modular process equipment where multiphase flows are ubiquitous. Our traditional design approach has been to rely on rules of thumb, pilot scale development and testing of process equipment which takes up to 20 years to develop a single technology. The design procedures are often highly empirical, dismissing the high degree of freedom that an engineer has at early stages of design by making ad-hoc design decisions, but pay the price during scale-up of processes through expensive pilot scale experiments. The question that I address in this presentation is “Can Advanced Computational modeling tools come to our rescue in minimizing the need for pilot scale experiments?” On the fundamental side, advanced algorithms for direct numerical simulation (DNS) and Discrete Element Modelling (DEM) of multiphase flows aid in detailed understanding but for limited size. For dispersed rigid particles the Navier-Stokes equations are coupled with the rigid body dynamics in a rigorous fashion to track the particle motion in a fluid. These classes of algorithms show great promise in attempting to shed light on multiphase flows from which we can extract statistically meaningful average behavior for use in the design of large scale engineering equipment. We call our effort as EPIC (Enabling Process Innovation through Computation) that integrates multiphase flow modelling with process diagnostics, intensification studies and optimization and control as applied to the process industries. Case studies of industrial relevance will be presented to illustrate the benefits of such an approach.
Dr. Sauro Succi
Center for Life Nanosciences at La Sapienza, Rome, Italy
Dr Sauro Succi holds a degree in Nuclear Engineering from the University of Bologna and a PhD in Plasma Physics from the EPFL, Lausanne (Switzerland). Since 1995 he serves as a Director of Research at the Istituto Applicazioni Calcolo of the Italian National Research Council in Rome and he is also a Research Associate of the Physics Department of Harvard University and a Visiting Professor at the Institute of Applied Computational Science at the School of Engineering and Applied Sciences of Harvard University.
His research interests cover a broad range of topics in kinetic theory and non-equilibrium statistical physics, including thermonuclear plasmas, fluid turbulence, micro and nanofluidics as well as quantum-relativistic flows.
He is the author of the monograph "The lattice Boltzmann equation for fluid dynamics and beyond", (Oxford Univ. Press, 2011).
He has received the Humboldt Prize in physics (2002), the Killam Award of the University of Calgary (2005) and the Raman Chair of the Indian Academy of Sciences (2011). Dr Succi is an elected Fellow of the American Physical Society (1998) and an elected member of the Academia Europaea (2015). He is the recipient of the 2017 APS Aneesur Rahman Prize for Computational Physics.
Recent developments of lattice Boltzmann methods for complex transport phenomena
We shall present recent developments of the Lattice Boltzmann method for a variety of transport phenomena in complex fluids, including, among others, the rheology of soft flowing crystals in microfluidic devices and heat transport in nano fluids.
Dr. J.C. Umavathi
Gulbarga University, Gulbarga, India
Dr. J.C. Umavathi is Professor in the Department of Mathematics, Gulbarga University, Gulbarga, Karnataka, INDIA since 1993. She did her Post Doctorate in the University of Sannio, Benevento, Italy with Prof. Maurizio Sasso. She is a recipient of Kalpana Chawla Young Scientist award and J.C. Bose Memorial Award from Government of India for her research contribution. She has also served as Warden for working women’s Hostel, NSS Officer for Women's and Chairperson of the Department of Mathematics in Gulbarga University. She has completed successfully two major research projects funded by the University Grants Commission. She is the International Expertise to the Russian International Affairs Council. She is a reviewer of many international journals such as IJHMT, J. Porous Media, Heat Mass Transfer, Applied Mechanics and Modeling, Nonlinear Analysis and Modeling, Int. J. Engn. Sci., TIPM, J. European B fluids, IJNLM, ASME J. Heat Transfer, JAFM, HTAR, IJNLM, HMT, HMMT. She has published nearly 190 research articles. Her h-index is 22, I10-index is 49, a number of citations is 1735 in google scholar, and her researchgate score is 33.14. She has attended and presented research articles in more than 50 National and International conferences. She has successfully guided twelve students and guiding three students for their Doctoral degrees. She was Visiting Professor in Taiwan, visited many countries such as Kuwait, China, Romania, Italy, Poland on academic assignments
The onset of double-diffusive convection in a layer of porous medium saturated by a couple stress nanofluid
The onset of double-diffusive nanofluid convection in a couple stress fluid saturated horizontal porous layers is studied with thermal conductivity and viscosity dependent on the nanoparticle volume fraction. To simulate the momentum equation in porous media, a modified Darcy-Maxwell nanofluid model incorporating the effects of Brownian motion and thermophoresis have been used. In conjunction with the Brownian motion, the nanoparticle fraction becomes stratified, and hence the viscosity and the conductivity are stratified. The nanofluid is assumed to be diluted and this enables the porous medium to be treated as a weakly heterogeneous medium with variation in the vertical direction of conductivity and viscosity. In addition the thermal energy equation includes regular diffusion and cross diffusion terms. The linear stability analysis is based on the normal mode technique, while for nonlinear analysis, minimal representation of the truncated Fourier series representation involving only two terms has been used. It is found that for stationary mode Soret parameter, Dufour parameter, viscosity ratio, conductivity ratio and couple stress parameter have a stabilizing effect while solutal Rayleigh number destabilize the system. For oscillatory mode Soret parameter, Dufour parameter, viscosity ratio, conductivity ratio, and couple stress parameter have a stabilizing effect while solutal Rayleigh number destabilize the system. The couple stress parameter enhances the stability of the system in both the stationary and oscillatory convections. Soret parameter enhances the solute concentration Nusselt number while it retards the thermal Nusselt number and concentration Nusselt number. The viscosity ratio and conductivity ratio enhances the heat and mass transports. We also study the effect of time on transient Nusselt numbers which is found to be oscillatory when time is small.