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Unit outline_

DESC9673: Intelligent Building Control Systems

Semester 2, 2021 [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 Aysu Kuru, aysu.kuru@sydney.edu.au
Lecturer(s) Simon Mahoney, smah7135@sydney.edu.au
Type Description Weight Due Length
Assignment Discuss the historical development of building controls (systems) and their impact/contribution to today’s “green buildings”
Written assessment
40% Week 06
Due date: 15 Sep 2021 at 23:59
2000 words
Outcomes assessed: LO1 LO2 LO3 LO5 LO6 LO7
Assignment Prepare an Integrated Building Management Design (IBMS) and specification for a commercial office building in Sydney CBD
Written assessment
60% Week 13
Due date: 10 Nov 2021 at 23:59
3000 words
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 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high 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 demonstrate satisfactory achievement of one or more of the learning outcomes assessed.

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.

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.

WK Topic Learning activity Learning outcomes
Week 01 1. Introduction to Module 2. Group Discussion (Perception of IBMS in the marketplace); 3. IBMS - definition and History; 5. Design and Functions of IBMS; 6. Writing a Developers Brief to a Consultant; 7. Introduction to 1st Assignment Online class (7 hr) LO1 LO2 LO7
Week 03 1. HVAC Control Strategies & Integration Scenarios; 2. Introduction to BMS at University of Sydney (Logical Building); 3. Further develop of the brief, including technical requirements; Online class (7 hr) LO1 LO2 LO3 LO5 LO7
Week 07 1. Communication Protocols and Integration Methods; 2. Features and Functions of an IBMS (VAE Group) 3. Chiller Plant Sequencing 4. Introduction to 2nd Assignment Online class (7 hr) LO1 LO2 LO3 LO4 LO5
Week 09 1. Systems & Devices; 2. Network Security, Threats and Solutions Lecture (3 hr) LO3 LO4 LO5 LO6
1. Introduction to Programming; 2. Advanced Programming for Energy Management Computer laboratory (4 hr) LO3 LO4 LO5 LO6
Week 11 1. Data Driven Buildings – Analytics and Visualisation; 2. Energy in Buildings; 3. Structured Cabling Systems; 4. Review of 2nd Assignment Online class (7 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7

Attendance and class requirements

Please refer to the Resolutions of the University School: http://sydney.edu.au/handbooks/architecture/rules/faculty_resolutions.shtml

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)

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 changes have been made since this unit was last offered

Work, health and safety

University COVID-19 safety guidlines will be implemented for the lecture (morning Day 4) and the Computer Lab class (afternoon Day 4) 

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.