Moses - Advanced modeling of urban water systems

Display language

To modulepage Generate PDF

Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum WS 2019/20 - SoSe 2020.

Module / Version:
#50868 / #1

Validity:
WS 2019/20 - SoSe 2020

Default display language:
English

Module title:
Advanced modeling of urban water systems

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:
Cominola, Andrea

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

Website:

https://www.swn.tu-berlin.de

Learning Outcomes

During this course, the students will acquire knowledge about the latest advances in modelling of urban water systems, with theory, methods, and applications. They will learn what the current research challenges in the field of urban water systems management are. They will approach the practical implementation of solutions to currently relevant problems in the fields of digitalisation of urban water and energy systems, with a scientific and start-up mind set. They will acquire basic knowledge of project management. They will learn how to critically read and present the content of scientific papers.

Content

The digital transition of urban water networks towards more data-driven and intelligent systems represents a primary opportunity to tackle the challenges posed by increasing population, urbanisation, and changing climate conditions. As the data-driven transformation reaches into the economy and society, ever-increasing amounts of data are generated by machines or processes based on emerging technologies, such as the Internet of Things (IoT), connected systems, and advanced modelling. While digital disruption has already transformed a number of other industries globally, the water sector has only recently embraced the digital transformation. This is the key to developing suitable adaption strategies that, relying on better information than in the past, support management and decision-making actions to plan adaptation strategies that enhance the resilience of urban water systems under uncertain future climate and social scenarios. In this course, the phenomenon of digitalization of urban water system will be analysed, with particular focus on the theory and application of advanced data-driven models in this realm. The course will be structured with 5 sub-topics, which will enable the students to get an overview of the different elements of modern urban water systems, acquire knowledge about best modelling practices, get insights on the interactions of water and energy systems in urban areas, and understand the role of human behaviour and cyber-physical security in such systems. The following 5 topics will be covered: 1. Introduction to urban water networks and digitalization 2. Advanced modelling and management of urban water networks 3. Smart metering and behavioural modelling 4. Water-energy nexus in urban systems 5. Cybersecurity of urban water networks During the project activity, the students will be actively fostered to develop own solutions to relevant water-related problems, with a focus on data-driven modelling and sensor technologies. Assessment includes a final written exam, a project (with a presentation and report) and a mid-term presentation of scientific papers. The lecture will be given in English.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Advanced modeling of urban water systems	VL	3531 L 591	WiSe	English	2
Advanced modeling of urban water systems	PJ	3531 L 592	WiSe	English	2

Workload and Credit Points

Advanced modeling of urban water systems (VL):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Pre/post processing	15.0	4.0h	60.0h
			90.0h(~3 LP)

Advanced modeling of urban water systems (PJ):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Pre/post processing	15.0	4.0h	60.0h
			90.0h(~3 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. Slides will be made available to students. The project includes the selection of a topic of interest, among suggested options, in the realm of digital technologies for water and energy systems. Weekly tutoring sessions to follow the progress of the project and give feedback will be organised. A final report and presentation with discussion will be delivered in the last sessions of the course. In a mid-term presentation, the students will have to present two assigned scientific articles.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Basic concepts of mathematical modelling, basic programming knowledge, and basic knowledge of water systems.

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
Final exam	40	written	1.5 hours
Project report	30	flexible	30 hours
Mid-term presentation	15	oral	15 minutes
Final project presentation	15	oral	15 minutes

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)

The evaluation will be the weighted average of the grades obtained in each test element: - written exams with questions and exercises - quality of the final report of the project - quality of the mid-term presentation - quality of the final presentation of the project

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 30.

Registration Procedures

Registration via QISPOS

Recommended literature
No recommended literature given

Assigned Degree Programs

This module is not used in any degree program.

Miscellaneous

No information

Advanced modeling of urban water systems