| Week |
All
classes on Wednesday |
Reading |
Assignments |
Section I: Data collection |
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| Week-1
(Mar 30) |
Course Introduction Two-hour discussion of Y2E2 energy systems (Wednesday afternoon or Thursday) to introduce the problem; Y2E2 Energy Performance simulation; Organization of student measurement calibration groups. Students will collect and report data on the assessments they do, the processes they follow and the time to follow those processes. |
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| Week-2
(Apr 6) |
11:15 - tour of Y2E2 to identify sensor measuring points. 12:15 - 1:05 - Introduce Stanford methods to analyze measured data, detect performance problems, and do sensor calibration. Introduction to modeling homework |
Q1 | |
Section II: Data analysis based on measured data |
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| Week-3
(Apr 13) |
Review W2; Lecture on Energy Performance Simulation; Ongoing sensor calibration | GSA BIM Guide - Energy Performance | Q2 |
| Week-4
(Apr 20) |
Review Q2 and Q3; Y2E2 systems; e+ methods | EnergyPlus Basic Concepts | Q3 |
Section III: Simulation studies (with E+) |
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| Week-5
(Apr 27) |
Review
Q3; Introduce Energy Performance
Comparison Methodology I; e+ methods |
Q4 | |
| Week-6
(May 4) |
Review
Q4; e+ methods; |
Q5 | |
| Week-7
(May 11) |
E+ analysis of Y2E2: geometry and zones;
assumptions about HVAC systems; predictions |
Q6 | |
Section IV: Integration of predicted and measured data |
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| Week-8
(May 18) |
Analyze example Y2E2 data set |
Q7 | |
|
Week-9
(May 25) |
Student presentations; Performance Comparison Methodology II | Q8 | |
|
Week-10
(May 31) |
Class motivations and summary; Final student presentations on results of measurement and prediction comparisons. Chennupati, Cho and Kesler; Fink and Waltner; Kim; Maduro; Payne and Wilson; Trigg; |
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Last updated: 18 June 2009