EPN-V2

MAEN5010 Renewable Energy Course description

Course name in Norwegian
Fornybar energi
Study programme
Master's Degree Programme in Energy and Environment in Buildings - part-time
Master's Degree Programme in Energy and Environment in Buildings
Weight
5.0 ECTS
Year of study
2022/2023
Curriculum
FALL 2022
Schedule
Course history

Introduction

After completing this course, the student has the following learning outcomes, as defined in knowledge, skills and general competence:

KnowledgeThe student has

  • advanced knowledge of control and control technique
  • specialized knowledge of the algorithms for P, PI and PID regulators
  • knowledge of the principles of DDC regulators, PLS units
  • knowledge of BUS systems and central operating control systems
  • specialized knowledge of contracting bodies and actuators.
  • in-depth knowledge of various alternative control systems for heating, cooling, ventilation and lighting.
  • knowledge of modeling and simulation of ventilation heating and air conditioning systems with regard to control and regulation

SkillsThe student can

  • apply scientific methods to issues in control, regulation and building automation independently
  • consider indoor climate, energy use and operating costs related to automation systems integrated in buildings
  • Choose the right methods for control and regulation of heating, cooling, ventilation and lighting systems
  • calculate the maximum capacity of the contracting bodies and find the curve shape of the characteristics
  • calculate and evaluate time constant for various components of control systems
  • draw and describe block diagram and Process and Instrument diagram (P&ID) for control systems
  • conduct stability analysis of control systems
  • analyze central operational control systems in operation and come up with the right measures to improve indoor climate functions and reduce energy consumption and operating costs

General competenceThe student can

  • plan and execute projects that include management, regulation and building automation
  • contribute to innovation and be contributors in innovation processes

Required preliminary courses

Lectures, exercises and project work.

Learning outcomes

The following work requirements must be approved or admission to the exam:

  • Five individual exercises related to lectures, each on two to three pages.

Teaching and learning methods

Part 1 Individual written exam of three hours, which counts 70 percent.

Part 2 Project work in groups of three to five students and which counts 30 percent. Report, implementation, oral and visual presentation in group are considered.

Exam part 1) Exam results can be appealed. Exam part 2) Exam result cannot be appealed.

Both parts of the exam must be graded / E or better in order for students to pass the course.

In the event of a new and postponed individual written examination, oral examination forms may be used. If an oral examination is used for a new and postponed examination, this cannot be appealed.

Course requirements

Exam part 1: Assistive products annexed to the examination paper. Handheld calculator that does not communicate wirelessly. If the calculator has the possibility of storage in the internal memory, the memory must be deleted before the exam. Sampling can be done.

Exam Part 2: All.

Assessment

Individual written exam, three hours.

The exam grade can be appealed.

In the event of a resit or rescheduled individual written exam, oral examination may be used instead. If oral exams are used for resit and rescheduled exams, the result cannot be appealed

Permitted exam materials and equipment

Part 1 An internal sensor.

Part 2 Two internal sensors.

External censorship is used regularly.

Grading scale

Graded scale A-F

Examiners

One internal examiner. External examiners are used regularly.

Course contact person

Habtamu Bayera Madessa