Sustainable Building Design Construction and Operation

CE 59700

Credit Hours:

3

Instructor:

Panagiota Karava

Learning Objectives:

By the end of the course, you will be able to:

  • Build energy models based on first principles (physics-based forward models); Heat balance method; Finite difference methods. Work on examples using teaching modules in Python/ Google Colab.
  • Model building components and systems; evaluate standard and new technology. Work on examples using teaching modules in Python/ Google Colab.
  • Conduct building energy modeling and analysis using computer simulation tools. Effectively utilize building performance indicators of buildings and related software.
  • Become familiar with energy analytics based on time series data as well as data-driven building models for control and performance analysis. Work on examples using teaching modules in Python/Matlab.
  • Become familiar with concepts for smart buildings and connected communities, model-based control, integrated building energy systems including solar technology, innovative comfort delivery systems.
  • Understand basic principles related to depletion of natural resources, global warming, sustainability, energy; Building energy consumption and statistics, decision making. High performance buildings and related standards.

Description:

The course starts with an introduction to environmental issues associated with buildings and presents concepts of performance indicators for improved energy efficiency and indoor environmental quality. Students become familiar with forward (physics-based) and inverse (data-driven) modeling methods used in performance evaluation for building design and operation. This sets the ground for an in-depth discussion of performance prediction for the evaluation of building components and systems and the use of building energy simulation tools. It is followed by topics on building systems integration using examples that include building-scale renewable energy generation and management, innovative energy and comfort delivery systems, as well as applications on model-based control, smart buildings and connected communities.

Topics Covered:

 

Prerequisites:

 

Web Address:

https://purdue.brightspace.com/

Web Content:

Syllabus, grades, lecture notes, homework assignments, solutions and quizzes

Homework/Projects/Exams:

Homework Assignments – 35%

Project – 35%

Mid-term Exam – 30 %

Textbooks:

Official textbook information is now listed in the Schedule of Classes. NOTE: Textbook information is subject to be changed at any time at the discretion of the faculty member. If you have questions or concerns please contact the academic department.

  • Purdue Brightspace:  Class notes and handouts will be posted regularly.
  • Suggested Reference Books (Optional):
    1. Building Thermal Analysis by A.K. Athienitis, 3rd edition, 1998.
    2. Principles of Heating, Ventilation and Air Conditioning in Buildings, by J.W. Mitchell and J.E. Braun, Wiley, 1st version, 2013.
    3. Building Performance Simulation for Design and Operation by Hensen, Jan L.M. and Lamberts, Roberto, Spon Press, 2011.
    4. Heating, Ventilating, and Air Conditioning by McQuiston, Parker, Spitler, 6th edition (2005), Wiley.
    5. Energy Simulation In Building Design by Clarke, J.A., 2nd edition, Butterworth-Heinemann, Oxford, 2001.
    6. ASHRAE Handbook of Fundamentals. American Society of Heating Ventilating and Air Conditioning Engineers, Atlanta, Georgia, US.
    7. Solar Engineering of Thermal Processes by John A. Duffie, William A. Beckman, 1991, ISBN: 0471510564.