GREEN ENERGY & SYSTEM ENGINEERING
WELCOME
TO GREEN ENERGY & SYSTEM ENGINEERINGS
"Integrate Renewable energy Process modeling with latest simulation technologies for a sustainable and clean environment"
Aim of Our Lab
To create new techniques from process modeling, simulation, design, optimization, and control, to data analysis and decision support, and to computational and applied mathematics.
Recently, the world economic trend and developing industries have led to the significant growth of process systems engineering in the field of renewable energy and new process integration and improvement.
Although process modeling and simulation have become so accurate, fast, and inexpensive so as to reduce reliance on plant scale-up, the process design and control application is quite an important framework to solve the bottleneck of the process. Thus, PSE enjoys an outstanding international reputation for the quality of its work, gained from many years of successful research and technology transfer, and for the quality of its research.
Our research interests mainly focus on dynamic modeling, simulation, and optimization for a class of complex chemical processes and energy systems. The mathematical model consists of nonlinear ordinary differential, nonlinear differential-algebraic, nonlinear partial differential equations, etc. Numerical analysis and solving techniques are significant. We are currently using the powerful process modeling software, i.e. ASPEN Plus, ADVISOR, and popular numerical computing software, i.e. MATLAB and SimaPro, GAMS, gPROMS to precisely demonstrate system dynamics.
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OUR GROUP'S SCOPE AND RESEARCH EXPERTISE
Green Energy and Economy Analysis
-:Brief Intro:-
Energy economics is a broad scientific subject area which includes topics related to supply and use of energy in societies. Considering the cost of energy services and associated value gives economic meaning to the efficiency at which energy can be produced.
Life cycle analysis (LCA)
-: Brief Intro:-
Life cycle assessment or LCA (also known as life cycle analysis) is a methodology for assessing environmental impacts associated with all the stages of the life cycle of a commercial product, process, or service. For instance, in the case of a manufactured product, environmental impacts are assessed from raw material extraction and processing (cradle), through the product's manufacture, distribution and use, to the recycling or final disposal of the materials composing it
Exergy Analysis
-:Brief intro:-
Exergy analysis is a practical approach to evaluate the merit of energy conversion or distribution processes and systems. With the aid of an energy analysis, the performance of an energy conversion system cannot be evaluated efficiently and precisely. But, an exergy analysis complements and enhances an energy analysis
Artificial Intelligence Research
-:Brief Intro:-
It can modify the objects based on its requirement [1]. Artificial intelligence is helpful in the engineering field and has many applications in the chemical field. It is helpful to design a molecule and predict its various properties like melting point, solubility, stability, HOMO/LUMO, etc
Modeling simulations and control of fuel cell systems
-:Brief Intro:-
modelling of fuel cell systems is a convenient way to reduce research time and costs, while providing in-depth analysis of various parameters that affect fuel cell performance and efficiency such as stack temperature, pressure, reactant moisture and air stoichiometry.
CONTACT
93A26, GESE Lab, Department of Chemical Engineering, National Cheng Kung University (NCKU), Taiwan (R.O.C) Email: weiwu@mail.ncku.edu.tw ; Phone: 886-6-2757575 # 62689