Skip to main content
Unit outline_

CIVL5533: Energy-efficient Building Systems

Semester 2, 2021 [Normal day] - Remote

Students will gain insight into energy consumption of building systems and how this is expected to vary considering different building solutions from an engineering design viewpoint in the context of climate change. The Unit of Study is articulated in the following four components. In the initial part of the Unit of Study, students are exposed to the fundamental concepts related to energy and its generation as well as to the current infrastructure supporting its distribution in cities and rural areas. Based on selected case studies that differ for the building typology, basic calculation approaches required for the estimation of the energy consumption of buildings are outlined and applied in the second part of the Unit of Study. In this manner, students will be exposed to an understanding of the expected impact that different structural typologies and construction materials have on the energy performance of a building. The third part of the Unit of Study presents the concepts and design principles of NZEB and how these can be successfully implemented in modern construction from an engineering viewpoint. In the final part of the Unit of Study, students are exposed to latest trends in building technologies and building-to-grid integration techniques aimed at minimising energy consumption and at reducing the likelihood of blackouts as well as peak energy demands. This part provides also insight into strategies adopted for the deployment of smart building systems and how these interact with the energy supply in the context of smart cities. All parts of the Unit of Study will be supported by the presentation of selected case studies.

Unit details and rules

Academic unit Civil Engineering
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

CIVL1900 Introduction to Civil Engineering and CIVL2110 Materials and CIVL2201 Structural Mechanics and MATH2061 Linear Mathematics and Vector Calculus

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Fengji Luo, fengji.luo@sydney.edu.au
Lecturer(s) Fengji Luo, fengji.luo@sydney.edu.au
Type Description Weight Due Length
Final exam (Take-home short release) Type D final exam Final Exam
Questions and answers
35% Formal exam period 2 hours
Outcomes assessed: LO1 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Assignment Assessment 1
Report
15% Week 05 6-10 hours
Outcomes assessed: LO1 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
In-semester test (Take-home short release) Type D in-semester exam Mid-Term Quiz
Questions and answers.
20% Week 08
Due date: 05 Oct 2021 at 14:00
1.5 hours
Outcomes assessed: LO1 LO3 LO4 LO5 LO6 LO9 LO10
Assignment group assignment Assignment 2
Report and presentation
30% Week 12 12-20 hours
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO9 LO10
group assignment = group assignment ?
Type D final exam = Type D final exam ?
Type D in-semester exam = Type D in-semester exam ?

Assessment summary

- Submission of assignment 1 in Canvas.
- Submission of assignment 2 in Canvas.
- In-semester exam in Canvas.
- Final exam will be managed by the Exam Office

Assessment criteria

Result name Mark range Description
High distinction 85-100 Have a through understanding of the concepts in this Unit of Study and are able to apply these concepts to new problems. 
Distinction 75-84 Increasing understanding and abstractions.
Credit 65-74 Increasing understanding and abstractions. 
Pass 50-64 Are able to apply the analysis and design approaches covered in this Unit of Study to basic problems.
Fail  0-49 Have no understanding of the concepts covered in this Unit of Study and are not able to solve basic problems. 

 

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:

Late penalties: (i) 10% per day of full mark of assignment; (ii) late penalties for mid-semester exam to be managed in accordance with University policies and (iii) late penalties for final exam to be managed in accordance with University policies.

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 Introduction to the fundamental concepts related to energy and its generation, and energy supply in cities and rural areas. Lecture and tutorial (4 hr) LO3 LO4 LO9
Week 02 Overview of smart cities and smart building systems. Role of demand response and building energy management systems in minimizing the energy consumption of buildings. Lecture and tutorial (4 hr) LO3 LO4 LO5 LO9
Week 03 Overview of approaches available to the evaluation of the energy consumption of buildings (Part I). Presentation of available simplified calculations to gain insight into some of the key governing parameters relevant to the engineering design and structural detailing. Lecture and tutorial (4 hr) LO3 LO5 LO7 LO8 LO9
Week 04 Overview of approaches available to the evaluation of the energy consumption of buildings (Part II). Presentation of available simplified calculations to gain insight into some of the key governing parameters relevant to the engineering design and structural detailing. Lecture and tutorial (4 hr) LO1 LO3 LO4 LO5 LO7 LO8 LO9 LO10
Week 05 Fundamentals of integrated passive design for energy-efficient building systems. Introduction to the selection of the construction materials and structural typologies relevant to the engineering design and to the structural detailing. Lecture and tutorial (4 hr) LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Week 06 Fundamentals of integrated passive design for energy-efficient building systems. Introduction to the selection of the construction materials and structural typologies relevant to the engineering design and to the structural detailing. Presentation of selected case studies. Lecture and tutorial (4 hr) LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Week 07 Introduction to the role of climate change on the energy consumption of buildings. Engineering solutions currently available for the passive cooling of structural components and buildings. Outline of selected case studies that exploit advanced engineering solutions. Lecture and tutorial (4 hr) LO3 LO4 LO6 LO8 LO10
Week 08 Overview and discussion on the project-based assignment. Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Week 09 Concepts and design principles of net-zero energy buildings from an engineering viewpoint. Importance of careful selection of structural typologies, construction materials and building technologies. Lecture and tutorial (4 hr) LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Week 10 Concepts and design principles of net-zero energy buildings from an engineering viewpoint. Importance of careful selection of structural typologies, construction materials and building technologies. Presentation of selected case studies. Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10
Week 11 Overview of the role of the engineering design and detailing of the structural system, members and joints on the overall energy performance of buildings. Lecture and tutorial (4 hr) LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Week 12 Latest trends in building technologies and building-to-grid integration to minimise energy consumption. Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Week 13 Revision for final exam. Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10

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.

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. Demonstrate written, oral and graphical communication skills at professional engineering standard including capacity to justify an engineering position.
  • LO2. Develop team skills through the completion of a project-based assignment.
  • LO3. Evaluate & synthesise a wide range of resources demonstrating research skills & ability to work across disciplines.
  • LO4. Design of the required energy supply to be provided to a building also considering the inclusion of renewables.
  • LO5. Carry out analysis of the building-to-grid integration to gain insight into the complex energy supply chain present in smart cities.
  • LO6. Perform optimisation analysis to identify suitable energy strategies among available solutions.
  • LO7. Evaluate and compare the results of computer analyses with those obtained by hand calculations.
  • LO8. Address complex problems requiring interdisciplinary approaches amd solutions.
  • LO9. Apply the fundamental methods of analysis for the energy calculations.
  • LO10. Derive analytical solutions for simple design scenarios.

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

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

This is the first time this unit has been offered.

Prescribed readings

S. Attia, Net Zero Energy Buildings (NZEB): Concepts, Frameworks and Roadmap for Project Analysis and Implementation, Butterworth-Heinemann, 2018.

M. Casini, Smart Buildings: Advanced Materials and Nanotechnology to Improve Energy-Efficiency and Environmental Performance, Woodhead Publishing, 2016.

N.Y. Jadhav, Green and Smart Buildings: Advanced Technology Options, Springer, 2016.

B. Hauke, M. Kuhnhenne, M. Lawson, Veljkovic, Sustainable Steel Buildings, A practical guide for structures and envelopes, Wiley Blackwell, 2016.

M.Lawson, R. Ogden, C. Goodier, Design in Modular Construction, CRC Press, 2014.

L. Reeder, Net Zero Energy Buildings, Case studies and lessons learned, Routledge, 2016.

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.