COURSE UNIT TITLE

: THERMAL ENERGY STORAGE

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MEE 5111 THERMAL ENERGY STORAGE ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MEHMET AKIF EZAN

Offered to

THERMODYNAMICS
THERMODYNAMICS
THERMODYNAMICS

Course Objective

Aims of the course are listed as
- To understand the fundamental knowledge on mechanical, electrical, chemical and thermal energy storage technologies,
- To understand the energy, entropty and exergy-based fundamentals of the sensible and latent heat thermal energy storage systems,
- To analyse the mathematical models different types of stand-alone storage applications,
- To develop and investigate mathematical models of integrated systems that involve thermal energy storage sub-systems.

Learning Outcomes of the Course Unit

1   to understand the fundamentals of different types of energy storage systems
2   to discuss the applications of sensible and latent heat TES systems
3   to develop mathematical models for sensible and latent heat TES systems
4   to design the integrated systems with TES units and analyse the systems in energy, entropy and exergy aspects
5   to design thermal energy storage (TES) systems for specific applications

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Energy Storage Systems Fundamental information of the energy storage systems such as mechanical, thermal, thermo-chemical and electrical.
2 Sensible Heat Thermal Energy Storage Systems and Fundamental Equations Applications of sensible heat storage systems and the fundamental equations and solution methods that are used to investigate such systems in both 1st and 2nd laws of thermodynamics
3 1D Sensible Heat Energy Storage - Cartesian Geometry Transient heat transfer process in a solid material with cartesian geometry will be explicitly resolved and thermodynamic reductions will be carried out
4 1D Sensible Heat Energy Storage - Spherical Geometry Transient heat transfer process in a solid material with spherical geometry will be explicitly resolved and thermodynamic reductions will be carried out
5 Packed Bed Thermal Energy Storage System - Fundamental Equations Mathemacal model of a packed bed sensible heat thermal energy storage tank will be developed and the equations will be discretised.
6 Packed Bed Thermal Energy Storage System - Analyses The fluid-flow and solid domain equations of a packed-bed sensible heat thermal energy storage tank will be computationally resolved. The integration of the tank with the solar collector will be introduced.
7 Trombe Wall & Solar-aided Hot Water Storage Tanks The fundamental equations for the Trombe wall and the solar-aided hot water storage tank will be examined
8 Midterm Exam Computer-aided exam will be scheduled in lab.
9 2D Sensible Heat Thermal Energy Storage - Flow inside Channel A 2D heat exchanger which composed of fluid and solid domains will be discretized both in space and time to explicitly resolve the temperature variations. The 1st and 2nd law of thermodynamic analyses will then be carried out
10 Phase Change Materials: Characterization & Applications Applications of PCMs in both energy storage system and thermal management purpose will be discussed. The melting temperature, latent heat and solidification temperature of some selected PCMs will be determined with DSC at the lab.
11 Latent Heat Thermal Energy Storage Systems & Fundamental Equations Governing equations for the solid/liquid phase change process will be discussed
12 1D Latent Heat Thermal Energy Storage - Cartesian Geometry Transient phase change process in a cartesian slab will be explicitly resolved and thermodynamic reductions will be carried out
13 1D Latent Heat Thermal Energy Storage - Spherical Geometry Transient phase change process in a spherical capsule will be explicitly resolved and thermodynamic reductions will be carried out
14 2D Latent Heat Thermal Energy Storage - Flow Inside Channel A 2D heat exchanger which composed of fluid domain and PCM will be discretized both in space and time to explicitly resolve the temperature variations. The 1st and 2nd law of thermodynamic analyses will then be carried out

Recomended or Required Reading

Dincer, I., & Ezan, M. A. (2018). Heat storage: a unique solution for energy systems. Springer.
Dincer, I., & Rosen, M. A. (2021). Thermal energy storage: systems and applications. John Wiley & Sons.
Garg, H. P., Mullick, S. C., & Bhargava, V. K. (1985). Solar thermal energy storage. Springer Science & Business Media.

Planned Learning Activities and Teaching Methods

The learning and teaching methods are class-based lectures and tutorial sessions, and coding in the computer labs. Entire semester the courses will be delivered at the computer lab. All steps from transfering the physical problems into the mathematical models and analysing the models with computer-aided approaches will be discussed with the students.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.25 +ASG * 0.35 +FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 +ASG * 0.35 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

The assessing criteria involve one mid-term exam, several assignments, presentations, and a final exam. The mid-term and final exams will be computer-based in a laboratory. Students will transfer some physical problems to mathematical models in the midterm and final exams. At first, heat transfer calculations will be carried out to evaluate spatial and temporal temperature variations. Then, the thermodynamic-based energy, entropy, and exergy analyses will be conducted for several design parameters, and the results will be discussed. The codes will be developed in MATLAB software. The models will be reported on paper, and the codes and results will be reported on a computer. The students will upload all exam materials to a system that will be announced by the lecturer. Homeworks and presentations would also be on developing computer codes to resolve physical problems involving thermal energy storage. Homeworks and presentations would be prepared either induvial or with team members. The lecturer will define the aims, scope, and deadline of a homework during the semester.

Language of Instruction

Turkish

Course Policies and Rules

The courses will be taught in the computer laboratory to build the theoretical foundations and computer-aided analysis skills. Homeworks will be assigned to students every bi-weekly, and students should present the results after completing the tasks. It is expected that students will regularly attend all lectures throughout the semester.

Contact Details for the Lecturer(s)

Dokuz Eylül University Mechanical Engineering Department (Office number: Z38)
Tınaztepe-Buca, Izmir
mehmet.ezan@deu.edu.tr

Office Hours

Monday & Tuesday: 1 pm - 3 pm

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 12 5 60
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Preparing presentations 5 2 10
Preparing assignments 5 5 25
Final 1 4 4
Midterm 2 4 8
TOTAL WORKLOAD (hours) 163

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1553333
LO.2553333
LO.3553333
LO.4553333
LO.5553333