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2023　Energy Scenario modeling

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Academic unit or major
Graduate major in Energy Science and Engineering
Instructor(s)
Wakeyama Tatsuya 
Class Format
Lecture    (Face-to-face)
Media-enhanced courses
Day/Period(Room No.)
Fri5-6(M-B101(H102))  
Group
-
Course number
ENR.T436
Credits
1
Academic year
2023
Offered quarter
3Q
Syllabus updated
2023/9/13
Lecture notes updated
-
Language used
English
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Course description and aims

Course description
A stable, economical, and environmentally friendly energy system must be realized to build a decarbonized society by combining various energy technologies. In this lecture, students will learn about the components of future energy system scenarios, using the construction of power system scenarios as an example. They will also learn methods for constructing and analyzing energy scenarios.

Aims
Understand the basics of mathematical programming and geographic information systems (GIS) required to construct energy scenarios developed by international organizations and governments. Understand how to integrate energy technologies into the scenario and analyze them. Finally, the course aims to cultivate "the basic specialized academic skills necessary to understand the multifaceted knowledge related to energy," which is one of the objectives of the energy course.

Student learning outcomes

By taking this course, students will be able to develop a bird's eye view of energy technologies and understand the characteristics of energy scenarios proposed by governments and various organizations.

Keywords

Energy scenarios, power systems, renewable energy potential evaluation, linear programming, geographic information systems

Competencies that will be developed

✔ Specialist skills Intercultural skills ✔ Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Lecture and exercises

Course schedule/Required learning

  Course schedule Required learning
Class 1 Energy scenario components Students will be able to provide an overview of energy scenarios and their components.
Class 2 Renewable energy potential evaluation Students will be able to explain renewable energy potential evaluation using GIS.
Class 3 Balancing and dispatch model Students will be able to explain the basis of the balancing and dispatch model using linear programming.
Class 4 Energy scenario and power mix model Students will be able to explain the energy scenario evaluation using the power mix model.
Class 5 Unit commitment and stability of power system Students will be able to explain the power system stability and its implementation in the model.
Class 6 Power market model Students will be able to explain the power market model using short-term marginal cost pricing.
Class 7 Policy proposals based on energy scenarios Students will be able to explain policy proposals based on energy scenarios.

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

tbc

Reference books, course materials, etc.

To be distributed at each lecture

Assessment criteria and methods

Learning achievement is evaluated by quizzes and reports after every lecture.

Related courses

  • ENR.A407 ： Energy system theory
  • ENR.A408 ： Economy of energy system
  • ENR.B436 ： Special lecture of economics and politics in energy

Prerequisites (i.e., required knowledge, skills, courses, etc.)

None required.

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