The document summarizes several projects related to analyzing and improving the energy efficiency of a school's electrical systems. It describes developing tools to parse utility data, map the school's electrical closets and panels, analyze seasonal energy usage patterns, and create a database to organize school utility data. Future work may include mapping additional equipment locations and integrating room and usage data.

1. Web Development
Michael Higgins

2. About Me

3. Projects
Deploy on server
Create visuals for data
Improve data re-formatter
Create Database for schools electrical mapping

4. Tools
Python - Programing language
Pycharm - IDE use for programing and testing
Django - Web framework
PostgreSQL - Database
Pandas - Data analysis Library
Apache - Web server

5. Deploying the Server
Deployed on apache
Developed in Django

6. Metasys Data

7. Pre Formatted data

8. Post Formatting Data

9. Creating Graphing
Pyplot -

10. Improving Reformatter

11. Electrical Mapping

12. Problem

13. Solution

14. Solution

15. Future Features
Maps of closet and panel locations
Room and equipment mapping

16. TRYING TO WRITE A HISTORY TEXTBOOK USING INCOMPLETE AND
FAULTY SOURCES
MAPPING THE HIGH SCHOOL
Jordan Altaffer

17. SOME BACKGROUND
• Last summer, we uncovered potential opportunities
through manual data analysis:
Energize Andover Summer 2016 -
Jordan
17
• Gymnasium Fan ~$100/day
• Collin’s Center Air Conditioning ~$200/day

18. A NEED FOR CHANGE
Energize Andover Summer 2016 -
Jordan
18
School Days
6AM-8PM
Night Time,
Weekend,
Holidays

19. First Efforts To Find a Problem
Energize Andover Summer 2016 -
Jordan
19
• We used a Python script to help parse the 200,000 line csv files that Metasys exports into more
manageable 200 line csv files.

20. ROADBLOCK
School directories made
it nearly impossible to
identify source.
Energize Andover Summer 2016 -
Jordan
20

21. UPDATING ROOM NUMBERS AND
DECODING THE OUTDATED PLANS
• The school plans and circuit directories have old room
numbers that no longer match current room numbers.
• In order to follow the directories and understand the way
the school is wired, we had to link the past to the present
by linking old numbers to new numbers.
Energize Andover Summer 2016 -
Jordan
21
The Table

22. SOLVING THE POORLY LABELED
DIRECTORY
• Naming convention of panels was confusing, and
structure was unclear..
Energize Andover Summer 2016 -
Jordan
22

23. HARVESTING DATA
• Mike and I wrote a piece of software that functions as a
database and organizes the different aspects of the
school.
Energize Andover Summer 2016 -
Jordan
23
• This program will facilitate maintenance
of our system and pave the way for
innovation.

24. Opportunities With
Night-Time Usage
Ajaykarthik Ananthakrishnan
Frank Cai

25. Who Are We?

26. Last Years Findings got us Thinking...

27. Can we be smarter about our night-time energy
usage?

28. What Did We Analyze?
8/4/15 - 4/18/16
Seasonal Data
Our Tool bag
Python

29. Data by season

30. Recommendations and Impacts
Additional Meters
Locate devices to turned off “when not in use”

31. HVAC
Timothy Liu

32. HVAC System

33. How it works

34. Andover High
School Univent

35. Idea!!
Create $/hour display on HVAC
systems to understand costs.

36. What I learned?

39. 2016 - Building Energy Boot Camp
Gewdy Espino
Kyle Gosselin
Ismael Tatis

40. Our Experience- Week 1

41. Our Experience - Week 2

42. Raspberry Pi

43. Python
V

44. What we learned

45. Our thoughts

46. THANK YOU!
46
Steve Chinosi Janet Nicosia
Anil Navkal
Dwayne Scruton