Master’s Thesis Presentation

Milan Jain

Advisor:

Dr. Amarjeet Singh

Committee Members:

Dr. Amarjeet Singh (Chair)Dr. Pushpendra Singh (Internal)

Dr. Zainul M Charbiwala (External)

Predicting AC Consumption Minimizing Aggregate eNergy cost

3

29%[1]

Challenging Electricity Demands

[1] https://www.iea.org/publications/freepublications/publication/Indicators_2008.pdf

21%[1]

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(30-50)%[1]

AC Electricity Consumption

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Awareness – How much AC Consumes??

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There are ways to measure that…

[1] AC Rated Power: 2000W Duration: 2

Hours9

Indirect Sensing (NILM)

Direct Sensing

Energy consumed/Day

(AC): 4 KwH[1]

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Can I optimize

this?

Now What?

Optimize AC Performance

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Detect Occupancy and Actuate

Switched on while it has to be Off

Switched Off while it has to be On

HVAC Actuation

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Unanswered Questions…

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What is the current temperature of my

room?

Temperature set is achieved? – In how

much time?

Can I save if I use lower set

temperature?

How to reduce energy bill from

AC?

Do I need to use AC?

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Forecast Energy

Consumption of AC

Room Temperature in Real Time

Outside Weather

Conditions in Real Time

Energy Consumed by

AC

Analyze, Learn and Enhance

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User Intervention

Static Learning

No Predictions

Predict

Real Time Feedback

Analyze

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PACMAN

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What does PACMAN

exactly do?

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28

30

Tem

pe

ratu

re (°C

)

20

25

30

35

Tem

pe

ratu

re (°C

)

20

25

30

35

Te

mp

era

ture

(°C

)

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PACMAN Overview

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Before that, how does AC Works?

How will PACMAN predict my AC consumption??

How can PACMAN optimize my AC consumption??

Air Conditioning Unit

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Comprising of multiple compressor cycles

AC Usage

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Cooling Rate Leakage Rate

Compressor On Temperature

Compressor Off Temperature

Factors Affecting AC Usage

Thermal Noise

Doors

Human Activity

Occupancy

Window

Sensor Position

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Compressor On & Off Temperature

Variation based on AC Usage

Variation based on AC Set Temperature

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Learn Thermal Model

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Predict Compressor Status

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Who did these things in

PACMAN?? – How PACMAN is organized??

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PACMAN Architecture and its Components

Why should I trust

PACMAN??

9Rooms

7Homes

2200 Hours3 Months

6Within IIITD Campus

1Outside IIITD Campus[1] For detailed experiment summary,

please refer to Thesis document

Validate PACMAN[1]

[1]

http://occupations.phillipmartin.info/occupatio

ns_weather_forecaster2.htm

[2] http://www.wunderground.com/

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Experimental Setup

Room Temperature

Weather Information[2]

Power Consumption – Smart Meter

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Data Validation

Validation of NILM approach.

Extract AC compressor cycles from

meter data and validated with power

measurements from jPlug

Validation of weather data with

actual temperature in the campus.

Validation of weather forecast with

historical weather data from same

weather service.

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Prediction Accuracy

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Prediction Accuracy

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Where PACMAN went wrong?

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Outliers – Irregular Thermal Behavior

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Outliers – External Temperature Variation

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Better User Control

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PACMAN Realization

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Z-Wave NodesHSK-200Z(IR Sensor)

HSK-48(Z-Wave Gateway)

Power Monitor

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TCIL Project - UI

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Future Directions

User Study to learn impact of PACMAN

on AC Energy Consumption

Enhance Thermal Model by including Multiple

Thermodynamic Parameters

PACMAN Demo

Questions??

THANK YOU