Moses - Smart Buildings

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum WiSe 2020/21 - WiSe 2021/22.

Module / Version:
#50918 / #1

Validity:
WiSe 2020/21 - WiSe 2021/22

Default display language:
English

Module title:
Smart Buildings

Credits:
6

Responsible person:
Cominola, Andrea

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät V

Institute:
Institut für Strömungsmechanik und Technische Akustik

Area of expertise:
35311100 FG Fluidsystemdynamik-Strömungstechnik der Maschinen und Anlagen

Prüfungsausschuss:
Physikalische Ingenieurwissenschaft

Kontakt

Office:
FSD

Contact person:
Fischer, Markus

E-mail address:
andrea.cominola@tu-berlin.de

Website:

http://www.ide3a.net, https://www.swn.tu-berlin.de

Learning Outcomes

During this course, the students will acquire knowledge about the latest advances on digitalisation at the level of individual buildings, the so called "smart buildings". Topics will include digital water/energy metering, digital sensors and IoT technologies, virtual sensors, data privacy concerns in smart buildings, and role of smart buildings in critical urban infrastructure. The technical content on digital sensors and data-driven algorithms will be coupled with content on the relevance of smart homes as a key component of interconnected critical urban infrastructure (e.g., water networks, electricity grid, sensor networks), with theory, methods, and applications. The students will learn what the current research challenges in the field of household water/energy demand modelling, data privacy, and overall efficiency and digitalisation are. They will approach the practical implementation of solutions to currently relevant problems in the field of digitalisation of critical urban infrastructure. They will learn how to concisely present a research work and pitch a project idea and proposed solution.

Content

The block course “Smart Buildings” deals with the area of digitalisation of homes and individual buildings as components of connected urban critical infrastructure. Moreover, it will give fundamental knowledge about modelling and optimisation techniques to characterise, forecast, and improve the efficiency of households water and energy demands. In this course, the phenomenon of digitalization of urban critical infrastructure will be analysed, with a particular focus on the household/building scale. This course extends, at a larger scale, the content learns during the course "Smart Sensing". During the "hackathon" activity, the students will be actively fostered to develop own solutions to relevant problems related to the course content, with a focus on digital metering and mathematical modelling of households water/energy demands. Assessment includes a final presentation of the solution developed in teams to the hackathon challenges. The lectures will be given in English.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Smart Buildings	IV		WiSe	English	4

Workload and Credit Points

Smart Buildings (IV):

Workload description	Multiplier	Hours	Total
Attendance	15.0	4.0h	60.0h
Pre/post processing	15.0	8.0h	120.0h
			180.0h(~6 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The lectures will be mainly in a frontal presentations format and held virtually via Zoom. Slides will be made available to students. The project (hackathon) includes tutoring sessions to guide the student through the solution development process and give them feedback. A short (max 7 pages) final report will be delivered at the end of the course as a deliverable of small hackathons with teams of participating students. The course is going to be fully virtual and everything is going to be managed online. Further instructions will be communicated to registered students on how to get access to the online lectures and hackathon materials for the school. The course will be conducted as a five-days intensive teaching week plus a digital pre- and post-processing part with includes team activities.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Preferred competences (not compulsory): basic concepts of mathematical modelling or statistics, basic programming knowledge with Matlab or Python, and basic knowledge of one among water/energy/sensor networks fundamentals and modelling. Previous attendance of the course "Smart Sensing" is encouraged.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
Group Assignement - project report	50	written	No information
Group Presentation - hackathon solution	50	oral	No information

Grading scale

Notenschlüssel »Notenschlüssel 1: Fak IV (1)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	86.0pt	82.0pt	78.0pt	74.0pt	70.0pt	66.0pt	62.0pt	58.0pt	54.0pt	50.0pt

Test description (Module completion)

Assessment includes: - a final oral exam, including the presentation of the solutions developed by student teams to the hackathon challenge and a Q&A session; - and a short project report (approx. 7 pages).

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 25.

Registration Procedures

Students have to register via the ide3a project website: www.ide3a.net; the exam registration will take place via Prüfungsamt at TU Berlin.

Recommended literature
No recommended literature given

Assigned Degree Programs

This module is not used in any degree program.

Miscellaneous

No information

Smart Buildings