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Smart Buildings

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WiSe 2020/21 - WiSe 2021/22

English

Smart Buildings

6

Cominola, Andrea

Benotet

Portfolioprüfung

English

Zugehörigkeit


Fakultät V

Institut für Strömungsmechanik und Technische Akustik

35311100 FG Fluidsystemdynamik-Strömungstechnik der Maschinen und Anlagen

Physikalische Ingenieurwissenschaft

Kontakt


FSD

Fischer, Markus

andrea.cominola@tu-berlin.de

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

Lernergebnisse

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.

Lehrinhalte

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.

Modulbestandteile

Compulsory area

Die folgenden Veranstaltungen sind für das Modul obligatorisch:

LehrveranstaltungenArtNummerTurnusSpracheSWS ISIS VVZ
Smart BuildingsIVWiSeen4
ISIS-Kurssuche nach Veranstaltungen des Moduls

Arbeitsaufwand und Leistungspunkte

Smart Buildings (IV):

AufwandbeschreibungMultiplikatorStundenGesamt
Attendance15.04.0h60.0h
Pre/post processing15.08.0h120.0h
180.0h(~6 LP)
Der Aufwand des Moduls summiert sich zu 180.0 Stunden. Damit umfasst das Modul 6 Leistungspunkte.

Beschreibung der Lehr- und Lernformen

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.

Voraussetzungen für die Teilnahme / Prüfung

Wünschenswerte Voraussetzungen für die Teilnahme an den Lehrveranstaltungen:

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.

Verpflichtende Voraussetzungen für die Modulprüfungsanmeldung:

Dieses Modul hat keine Prüfungsvoraussetzungen.

Abschluss des Moduls

Benotung

Benotet

Prüfungsform

Portfolio examination

Art der Portfolioprüfung

100 Punkte insgesamt

Sprache(n)

English

Prüfungselemente

NamePunkteKategorieDauer/Umfang
Group Assignement - project report50schriftlichKeine Angabe
Group Presentation - hackathon solution50mündlichKeine Angabe

Notenschlüssel

Notenschlüssel »Notenschlüssel 1: Fak IV (1)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt86.0pt82.0pt78.0pt74.0pt70.0pt66.0pt62.0pt58.0pt54.0pt50.0pt

Prüfungsbeschreibung (Abschluss des Moduls)

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).

Dauer des Moduls

Für Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt:
1 Semester.

Dieses Modul kann in folgenden Semestern begonnen werden:
Wintersemester.

Maximale teilnehmende Personen

Die maximale Teilnehmerzahl beträgt 25.

Anmeldeformalitäten

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

Literaturhinweise, Skripte

Skript in Papierform

Verfügbarkeit:  nicht verfügbar

 

Skript in elektronischer Form

Verfügbarkeit:  nicht verfügbar

 

Literatur

Empfohlene Literatur
Keine empfohlene Literatur angegeben

Zugeordnete Studiengänge

Dieses Modul findet in keinem Studiengang Verwendung.

Sonstiges

Keine Angabe