Analysis on Electricity Consumption Main Campus
Done by
Shikhar Sinha�Naitik Gandhi
Business and Analytical Problem
Minimizing the electricity consumption of main campus.
Identify variables affecting our objective.
Reduce the cash expense on electricity.
Analyze the energy Usage.
Determine effective energy reduction method.
Develop a regression model.
Data and Assumptions
Data of year 2018 and 2022 utilized.
Data considered for analysis is average KWH usage, average temperature, class enrolment and number of classes.
Data considered only for classes happening in-person and hybrid classes.
Temperature and KWH reading taken between 7am to 10pm only considered.
Classes with 0 enrollment are completely ignored.
FCN, FCS, blank cells and web under building columns were ignored.
Methodology Selection
CORRELATION
REGRESSION ANALYSIS
Model Building and Development.
| Avg KWH 2022 | 2022 Avg Temp | Class Enrollment 2022 | Number of classes 2022 |
Avg KWH 2022 | 1 |
|
|
|
2022 Avg Temp | 0.994805339 | 1 |
|
|
Class Enrollment 2022 | -0.732746523 | -0.681055447 | 1 |
|
Number of classes 2022 | -0.803618816 | -0.757336279 | 0.977213491 | 1 |
Model Building and Development continued.
Model Building and Development continued.
Regression Equations
The regression equation is
Deployment and Solutions
More Hybrid classes.
Minimum classes in peak hours.
Increasing classes on Friday.
Room wise temperature control.
Minimum buildings usage in summer.
Renewable energy resource.
Conclusion
NO RELATION FOUND BETWEEN NUMBER OF CLASS AND ENERGY CONSUMPTION.
OCCUPANCY IS ALSO NOT THE FACTOR VARYING CONSUMPTION.
ELECTRICITY CONSUMPTION TOTALLY RELY ON OUTSIDE TEMPERATURE.
Question and Answers
Thank You.