Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After passing the course the student

  • knows the heating and cooling systems of a building and understands their operational principles
  • knows the heat conversion and distribution methods and the fundamentals of automatic control
  • can calculate a building s heat demand
  • can calculate heat gains and cooling load caused by solar radiation
  • understands the impact of thermal mass on the dynamic behavior of buildings

Credits: 5

Schedule: 13.01.2021 - 17.02.2021

Teacher in charge (valid 01.08.2020-31.07.2022): Markku Virtanen

Teacher in charge (applies in this implementation): Markku Virtanen

Contact information for the course (valid 09.12.2020-21.12.2112):

Professor of Practice, D.Sc. (Tech) Markku J. Virtanen

Aalto University

Department
of Mechanical Engineering

markku.j.virtanen@aalto.fi

Tel.
+358-40-576 9306

P.O.
Box 14400, 00076 AALTO

Sähkömiehentie

Reception
upon agreement


CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    • Building s energy balance
    • Calculating the heat transfer coefficients
    • Calculating the thermal demand
    • Heating and cooling systems
    • Heat distribution systems
    • Solar heat gains
    • Cooling load calculations
    • Utilization of thermal mass
    • Simulation exercise

  • Applies in this implementation:


Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    Learning assignments 100%

  • Applies in this implementation:

    No examination. Six learning assignments
    (LAs):

    Each learning assignment consists of 2-3
    exercises (i.e. computational problems) that are solved and reported
    appropriately.

    -
    Maximum score per assignment: 10 p (MAX 60 p). Passed (mark 1) = 50 % of the
    total score (= 30 p).

    -
    Work reports are returned via MyCourses platform by the given deadlines.

    - The correct answers (by exercise)
    will be shared to the course participants via email after the course. (To
    receive email, the student has to be registered in the course via WebOodi.)

    -
    Evaluation criteria will be described in detail.


Workload
  • Valid 01.08.2020-31.07.2022:

    Contact learning 12 h

    Learning assignments 60 h

    Other self-learning 48 h

  • Applies in this implementation:

    Contact learning 12 h

    Learning
    assignments 60 h

    Other
    self-learning 48 h

    Six (6) contact learning days


DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    Lecture notes and literature (to be specified later)

Substitutes for Courses
  • Valid 01.08.2020-31.07.2022:

    Ene-58.3111 Space Heating

    Ene-58.4122 Advanced Air-Conditioning

SDG: Sustainable Development Goals

    3 Good Health and Well-being

    7 Affordable and Clean Energy

    12 Responsible Production and Consumption

FURTHER INFORMATION

Details on the schedule
  • Applies in this implementation:

    Wednesdays, at 9.15 via Teams

    Contact
    days (CD) and deadlines (DL) for learning assignments (LA):

    CD1
    13.1.  Need of heating and cooling. Theoretical principles and tools. LA1
    distribution.

    CD2
    20.1 Calculation of heating and cooling requirements. LA2 distribution/LA1 DL.

    CD3
    27.1. Supply and conversion systems.LA3 distribution/LA2 DL.

    CD4
    3.2. Distribution and auxiliary systems.LA4 distribution/LA3 DL.

    CD5
    10.2.   Fundamentals of system design.LA5 distribution/LA4 DL.

    CD6
    17.2. Fundamentals of automatic control.LA6 distribution/LA5 DL.

    24.2. LA6 DL.