Prof.in Dr. Dinan Wang

After acquiring her PhD from School of Mechanical Engineering, University of Leeds in United Kingdom in 2006, Dinan Wang joined the NEC Europe research laboratory for various European Union projects in the field of biomedical engineering. In 2010 -2012 she worked as a research scientist at Meteorological Institute of University of Bonn to carry out climate modelling research within the DFG cooperation program with China. Since 2012 she has been appointed as a professor at Ruhr West University of Applied Science. One of her current research interests focuses on the simulation and optimization of microgrid hybrid power systems and smart energy system (sector coupling).

You can best reach me by email at Dinan.Wang@hs-ruhrwest.de

Career

Since 2012
Professor (simulation of renewable energy system and fluid mechanics) 
Institute of Energy System and Energy Economics
University of Applied Sciences Ruhr West (Hochschule Ruhr West)

2009 - 2012
Research Scientist at the Meteorological Institute, Universtiy of Bonn

2006 - 2009
Research Scientist at NEC Research Lab

2003 - 2006
PhD Mechanical Engineering at University of Leeds, UK

1995 - 2002
Bachelor & Master in Thermal Energy Engineering at University of Science and Technology, Beijing China

Reviewer for  

• Renewable Energy (SCI)  
• Applied Energy (SCI)  
• Alexander von Humboldt Foundation

• Fluid Mechanics (Bachelor, MB, EUT)  
• Numerical Simulation (using MATLAB) (Bachelor, EUT)  
• Meteorology for Wind Energy – Introduction (Bachelor, EUT)  
• Simulation of Integrated Energy Systems (Master, WING-ES)  
• Scientific Project (Master)

• Fluid Mechanics
• Numerical Simulation
• Simulation of Integrated Energy System

Dinan Wang teaches the Bachelor modules with didactic methods, i.e. Flipped-Classroom/ Learning Team Coaching/ Problem Based Learning,  with the curriculum design following the theory of ICAP Framework for active learning developed by Prof. M Chi - “Yidan Laurete in Education Research”.

She adopted Project Based Learning method for her Master modules, in which the concept of “learning from mistakes “ and “self-exploration” help students to cultivate the independent, critical and life-long learning skills. 

Simulation Lab (microgrid energy system simulation) / Fluid Mechanics Lab (small scale wind tunnel)

• Cooperative thesis projects with companies of any kind.
• Technische Abschlussarbeiten in Bezug auf aktuelle Forschungsprojekte

Selected Project Experience

• Land use an water resources management under changing environmental conditions (climate projections for two catchments in China) - DFG/NSFC
• COAST (multi-physics and multi-scale simulation) - EU-FP6-IST
• @neurIST (blood flow simulations for the assessment of the risk of aneurysm rupture) - EU-FP6-IST

• Numerical Simulation and optimization of renewable energy system.
• CFD simulation for wind park design, industrial process, biomedical engineering, microfluidics

HOMER, nPro, MATLAB, ANSYS Fluent

Selected Publications

• D. Wang, M. Grimmelt, Climate influence on the optimal stand-alone microgrid system with hybrid storage – A comparative study; Renewable Energy, 2023.
• T. Simon, D. Wang, A. Hense, C. Simmer, C. Ohlwein; Generation and transfer of internal variability in a regional climate model; Dynamic Meteorology an Oceanography, 2013
• D. Wang, C. Menz, T. Somin, C. Ohlwein, C. Simmer; Regional dynamical downscaling with COSMO-CLM over East Asia; Meteorology and Atmospheric Physics; 2013
• A. Caizzo, D. Evans, J.-L- Falcone, J. Hegewald, E. Lorenz, B. Stahl, D. Wang, J. Bernsdorf, B. Chopard, J. Gunn, R. Hose, M. Krafczyk, P. Lawford, R. Smallwood, D. Walkers, A. Hoekstra;  A Complex Automata approach for in-stent restenosis - Two-dimensional multiscale modelling and simulations; Journal of Computional Science, Volume 2, Issue 1, Page 9-17; März 2011
• D. Wang; Lattice Boltzmann Simulation of Steady Non-Newtonian Blood Flow a 3D Generic Stenosis Case; Computers an Mathmatics with Applications 55; 2008
• D. Wang, J.L Summers, P.H. Gaskell; Modeling of Electrokinetically Driven Flow Mixing Enhancement in Mircrochannels with Patterned Heterogeneous Surface an Blocks; Nanoscale and Microscale Thermophysical Engineering; 2008