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Unit outline_

DESC9673: Intelligent Building Control Systems

Semester 2, 2024 [Block mode] - Camperdown/Darlington, Sydney

The term 'intelligent buildings' was coined some thirty years ago with the advent of Direct Digital Controls (DDC), but only recently can buildings can truly be considered 'intelligent' thanks to advances in sensor technology, control systems theory, information technology, and electronics in general. This unit presents an overview of intelligent buildings from the Building Management and Control System (BMCS) perspective, focusing specifically on Heating Ventilation Air Conditioning (HVAC) processes, plus other building services including security, lighting, and vertical transportation. Fundamentals of control systems theory and technology will be presented. State-of-the-art BMCS capabilities will be demonstrated in relation to optimising the environmental, workplace productivity and economic performance of buildings. Sustainability issues covered by the unit include the role of BMCS in monitoring and managing energy and carbon footprint, water resources and indoor environmental quality (IEQ). The learning outcomes of this unit of study will include sufficient understanding of building controls to enable optimum building performance. It will also provide a platform for critical analysis of control and operational strategies adopted through techniques such as diagnostics and trend logging of parameters such as energy, water, temperature, humidity, to mention a few.

Unit details and rules

Academic unit Architectural and Design Science
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Chirag Deb, chirag.deb@sydney.edu.au
Lecturer(s) Chirag Deb, chirag.deb@sydney.edu.au
The census date for this unit availability is 2 September 2024
Type Description Weight Due Length
Assignment Discuss the basics of an Intelligent Building Management System (IBMS) and evaluate the potential benefits of using IBMS in buildings, using real-world applications.
Written assessment
40% Week 06
Due date: 04 Sep 2024 at 23:59
2000 words
Outcomes assessed: LO1 LO2 LO3 LO5 LO6 LO7
Assignment Design and develop an iPython file which encompasses data acquisition, time series analysis, a simple control system and plotting.
Programme files
60% Week 13
Due date: 29 Oct 2024 at 23:59
N/A
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2021 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction an excellent standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

Work of outstanding quality, demonstrating mastery of the learning outcomes
assessed. The work shows significant innovation, experimentation, critical
analysis, synthesis, insight, creativity, and/or exceptional skill.

Distinction

75 - 84

Work of excellent quality, demonstrating a sound grasp of the learning outcomes
assessed. The work shows innovation, experimentation, critical analysis,
synthesis, insight, creativity, and/or superior skill.

Credit

65 - 74

Work of good quality, demonstrating more than satisfactory achievement of the
learning outcomes assessed, or work of excellent quality for a majority of the
learning outcomes assessed.

Pass

50 - 64

Work demonstrating satisfactory achievement of the learning outcomes
assessed.

Fail

0 - 49

Work that does not meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

In accordance with University of Sydney School of Architecture Design and Planning Faculty Resolutions 2022, for every calendar day up to and including 10 calendar days after the due date, a penalty of 5% of the maximum awardable marks will be applied to the late work. For work submitted more than 10 calendar days after the due date, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Week 01 1.Introduction to Module 2. Introduction to Intelligent Building Management Systems (IBMS) 3. Evolution and significance of IBMS 4. Data-driven controls 5. Introduction to Assignment 1 Lecture (4 hr) LO1 LO2 LO7
1. Introduction to Programming (Python) 2. Variables Tutorial (3 hr) LO4 LO6 LO7
Week 03 1. Communication protocols 2. Features and functions of IBMS 3. Building Automation and Control Networks (BACnet) 4. Case study Lecture (4 hr) LO1 LO2 LO5 LO7
1. Dataframes in Python 2. Handling data from sensors Tutorial (3 hr) LO5 LO6 LO7
Week 07 1.Building systems and controls 2. HVAC systems 3. Control strategies 4. Sensors in the built environment 5. Review of Assignment 1 Lecture (4 hr) LO1 LO2 LO3 LO4 LO5
1. Time series analysis A 2. Visualisation and Plotting A Tutorial (3 hr) LO2 LO5 LO6 LO7
Week 09 1.Network security 2. Security and access systems in buildings 3. Energy modelling basics 4. Introduction to Assignment 2 Lecture (4 hr) LO3 LO4 LO5 LO6
1. Time series analysis B 2. Plotting B Tutorial (3 hr) LO4 LO5 LO6
Week 11 1.Case studies on successful IBMS 2. Research frontiers in building controls 3. AI and future of intelligent buildings 4. Review of Assignment 2 Lecture (4 hr) LO3 LO4 LO5 LO6 LO7
1. Simple control models in Python Tutorial (3 hr) LO5 LO6 LO7

Attendance and class requirements

Please refer to the Resolutions of the University School: University of Sydney School of Architecture Design and Planning Faculty Resolutions 2022

Clause 8 (3) (a). Students are expected to attend a minimum of 90% of timetabled activities for each unit of study, unless granted exemption.

 

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

Wang, S. (2009) Intelligent Buildings and Building Automation. (Spon Press; New York)

Wen, J.T., Mishra, S. (2017) Intelligent Building Control Systems: A Survey of Modern Building Control and Sensing Strategies. (Springer International Publishing)

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. understand the fundamental principles of Intelligent Building Management Systems (IBMS)
  • LO2. understand the significance of IBMS within the commercial building contexts of performance and sustainability
  • LO3. understand the basic functionality and capabilities of IBMS: lighting, heating and cooling, ventilation, occupancy, energy efficiency, life safety, security, and facility maintenance
  • LO4. understand the principles of sensors and their role in IBMS
  • LO5. understand the logic and algorithms of IBMS
  • LO6. demonstrate skills in critical thinking and critical analysis of evidence
  • LO7. demonstrate skills in synthesising and effectively communicating technical information across the multiple disciplines comprising the IBCS/IBMS domain.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
LO1         
LO2         
LO3         
LO4         
LO5         
LO6         
LO7         

This section outlines changes made to this unit following staff and student reviews.

No major changes. Overall, this unit's content and structure remain the same with slight modifications based on student feedback.

Work, health and safety

University COVID-19 safety guidelines will be implemented for on-campus.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.