Course content

The course starts with a repetition of relevant mathematical and technical terms such as different equation types, linear, non-linear, and differential equations. Uncertainty and economic terms are also introduced. Afterwards, modeling and system simulations are introduced. Different optimization methods are introduced. Finally, system dynamics are introduced. The course gives also examples how to model and simulate big thermal energy systems.

Learning outcome

KNOWLEDGE: The course provides the student with knowledge about: system simulation and optimization methods for design of thermal systems and effective solution of equation systems. The course gives the student insight into the following: economic calculations, statistical calculations, and methods for equation fitting, optimization methods, steady-state simulation of large systems, dynamic behavior of thermal systems.

SKILLS: The course should enable the student to: create alternative designs of thermal systems that are able to fulfill the desired functionality in an optimal manner for given objectives.

GENERAL COMPETENCE: The course should give the student the following competences:

• basic competence in design and optimization of thermal systems
• system understanding and ability to evaluate the effectiveness of thermal systems.

Learning methods and activities

The course consists of several seminars where students present and discuss different topics. A research report related to the research work of the PhD student and based on the methods presented in the book has to be delivered. During the semester, students need to present two times their research work, at the beginning to present the research idea and close to the semester end to show the final results. The report has to be delivered and accepted to get the access to the exam. The report is counted 30% for the final mark. To pass the course a score of at least 70 percent (including the report and the exam) is required.

Recommended previous knowledge

Mathematical and Natural Sciences foundation of engineering studies or equivalent prior knowledge.

Required previous knowledge

Knowledge equivalent to TEP4120 Thermodynamics 1 and TEP4130 Heat and Mass Transfer. Knowledge in similar course is also relevant.

Course materials

P.L. Dhar: Thermal system design and simulation, Elsevier, 2017, 1st edition, Paperback ISBN: 9780128094495, eBook ISBN: 9780128094303

Credit reductions