Class: Tues/Thurs 12:30 - 1:45 pm in Correll 116
Energy Informatics involves analyzing, designing, and implementing systems to increase the efficiency of energy demand and supply systems. This requires the collection and analysis of data used to optimize energy distribution and consumption networks. Students will leverage the necessary information systems competencies and multi-disciplinary knowledge to increase societal energy efficiency.
Sustainability is usually defined as “meeting the needs of the current generation without compromising the ability of future generations to meet their own needs.” Sustainability is currently one of the most important issues facing our world, and will continue to be so for decades as it will take a long time to reverse some adverse environmental changes. Information System (IS) and Information Technology (IT) play a critical role in sustainable development, and Energy Informatics is an approach to addressing sustainability by reducing energy consumption. By learning about Energy Informatics, students enrolled in this class will leverage the necessary computing competencies and multi-disciplinary knowledge to contribute to creating a sustainable future.
The teaching approach will be a blend of interactive lectures, discussions, presentations, case studies, and in-class activities.
The course syllabus is a general plan for the course; deviations announced to the class by the instructor may be necessary.
MIST2090 or equivalent
You need to be familiar with and competent in using personal computers, software productivity packages (word processor, presentation software, spreadsheet), and the Web. This prerequisite will be assumed by the instructor, since you are registered in this course.
Students completing the course will
Watson, R. T., & Boudreau, M.-C. (2011). Energy Informatics. Athens, GA: Green ePress. (Available in Kindle format from Amazon)
R is a statistics package, and RStudio is the interface to R. Download the latest versions of both for your operating system.
As a University of Georgia student, you have agreed to abide by the University's academic honesty policy, "A Culture of Honesty, " and the Student Honor Code. All academic work must meet the standards described in "A Culture of Honesty." Lack of knowledge of the academic honesty policy is not a reasonable explanation for a violation. Questions related to course assignments and the academic honesty policy should be directed to the instructor.
In this class, you will work in teams. As a result, review a short report on team effectiveness and establish a team agreement (sample agreement) for use by the team.
Students are welcome to use laptops in class for note taking and completing class exercises, exclusively. If you plan to take notes, please advise and email a copy of the notes at the end of each class.
Attendance and participation are required for this course. Excessive unexcused absences (i.e., greater than 4) will result in a Drop or Withdrawal for Non-Attendance according to UGA policy.
As there are 50 students in the class, and 8 people seeking graduate credit, we will have 8 teams. Each team will have at most 7 members, and the graduate will be the team leader. The same teams will be used for all group assignments. Please notify the instructor by 11:59pm of 8/22 of the composition of your group.
Due dates are shown on the schedule
Possible solutions to global climate change will be presented in class as per the schedule. Presentation will be no more than 10 minutes.
|Wind||Colin O'Leary, Nick Oney, Clay Fortin, Gregg Thompson, Daniel Helsing, Fernando Cruz, Adam Russo (4)||8/29|
|Nuclear fusion||Samantha Clark, Imran Doraney, Ishani Podder, Joe Mahoney, Marah Korth, Van Ha Huynh (7)||8/31|
|Geo-engineering||Coby Horton, Collin Abell, Ji Ahn, Lindsey Harnack, Sheridan Nulty, Vira Ogdanets, Jungwoo Park (2)||8/29|
|Photo voltaic cells||Dalton Corbin, Allison Brodsky, Gunjeet Gambhir, Hunter Ziegler, Shawn Myers, Dylan Patel, Kevin Sullivan (5)||8/31|
|Hydroelectric||Zachary Kammer, Fabrice Kengne, Jonathan Diaz, Nicole Anglace, Preston Elam, Sebastian Rendon, Tal Botnar (6)||8/31|
|Thorium reactor||Adeyinka Joseph, Matthew Allen, Trey Bonham, Nate Bryant, Nick Efird, Jessica Kim, Reginald Mosley (1)||8/29|
|Tidal||Charles Fragakis, Minsoo Kim, Ellen Barrow, Ashley Marshall, Alisha Merchant (8)||8/29|
|Bio fuels||Robert Falciglia, Madeline Hanley, Natalie Raia, Devan Clark, Aalok Patel (3)||8/31|
The advent of autonomous electric cars will have many implications for energy supply and demand, as well as many other aspects of the economy. One way to explore and identify these many implications is to develop a conceptual Systems Dynamics model using Insight Maker. You will learn the principles of systems dynamics and then apply them to develop a comprehensive model. Background reading.
Some nations have taken leadership in creating sustainable societies, and their actions are an opportunity for us to learn. Groups will be asked to give a 10-15 minute report on the policies of a country. You should focus on what actions are being taken to apply the principles of Energy Informatics, if at all. To avoid replication, get approval for your country from the instructor before proceeding. The following table lists the current status of presentations.
|China||Coby Horton (2)||11/28|
|Switzerland||Colin O'Leary (4)||11/28|
|Singapore||Charles Fragakis (8)||11/28|
|Germany||Zachary Kammer (6)||11/28|
|India||Dylan Patel (5)||11/30|
|Australia||Samantha Clark (7)||11/30|
|France||Adeyinka Joseph (1)||11/30|
|USA||Robert Falciglia (3)||11/30|
Based on the class discussion of Green greenhouses and the use of LED lighting, answer the following questions.
The electricity and solar radiation files can be downloaded in feather format using a right-click. You should put these files in your project directory.
There are four Schneider Electric Energy University courses to complete. You will need to sign up for the courses.
Select the following courses from the catalog. If you wish, you can suggest substitutes. Consult the instructor first.
|Energy efficiency and related issues||20|
|Solutions to global climate change||10|
|National energy and sustainability policy||10|
|Controlled environment agriculture||10|
|Energy university courses||8|
|Course evaluation completion||2|
|If you are unable to complete an exercise on time or take an exam at the specified time, please advise the instructor as soon as possible so that alternative arrangements can be made.|
|Class||Day||Date||Topic||Assignment or additional material|
|1||Tuesday||08-15||How global warming works (CC)
The secret to rising sea levels - thermal expansion (CC)
Ocean acidification by the alliance for climate education (CC)
Climate and war (CC)
Biodiversity loss (Text only)
|More about the problem
The changing state of the climate (CC)
Rising sea levels (CC)
Acid test: The global challenge of ocean acidification (CC)
Climate change is happening. Here's how we adapt (CC)
Human activities that affect biodiversity (CC)
|2||Thursday||08-17||The problem (slides)
Energy Informatics (slides) (Introduction)
|Energy efficiency fundamentals|
Introduction to R (slides)
|4||Thursday||08-24||Introduction to R||Financial Analysis of Projects I
|5||Tuesday||08-29||Solutions to the problem presentations|
|6||Thursday||08-31||Solutions to the problem presentations|
|7||Tuesday||09-05||Data visualization with R (slides)|
|8||Thursday||09-07||Data visualization with R||Financial Analysis of Projects II
|9||Tuesday||09-12||Smart Grid, Smart Buildings
(Dr. Thomas Lawrence)
|10||Thursday||09-14||Digial data streams (slides)||R1|
|11||Tuesday||09-19||Time series analysis with R (slides)||Strategic Energy Planning|
|12||Thursday||09-21||Time series analysis with R|
|13||Tuesday||09-26||Sustainability and IS strategy (slides)
|14||Thursday||09-28||Design principles of Energy Informatics (slides)||Swidget™
|15||Tuesday||10-03||Systems dynamics (Dr. Dan Everett)||Advanced Practices Council|
|16||Thursday||10-05||Systems dynamics (Dr. Dan Everett)|
|17||Tuesday||10-10||Optimization with R (slides)||R3|
|18||Thursday||10-12||Optimization with R|
|19||Tuesday||10-17||Demand response systems|
|20||Thursday||10-19||Deloitte presentation (Ed Thomas)|
|21||Tuesday||10-24||Controlled environment agriculture (slides)|
|23||Tuesday||10-31||Green IS & IT & General model for the grid
The shift in dominant logic
|24||Thursday||11-02||Digitization of capital (slides)
|25||Tuesday||11-07||Maritime Informatics (case 1) (case 2) (case 3)
|27||Tuesday||11-14||Spatial-temporal data analytics (slides)||Controlled environment agriculture|
|31||Tuesday||11-28||National policy reports||R5|
|32||Thursday||11-30||National policy reports|