about the project
Our goal is twofold: first, to increase awareness of energy consumption in commercial buildings and public spaces, and second, to distribute intelligent, personalized, and realtime suggestions for saving energy.
There are plenty of solutions for homes such as nest, smart appliances etc to monitor usage and keep consumption at check, since the user pays the bill. However, most of our time is spent at offices or universities where we are not aware of the impact, our actions have on the building's energy usage. There is currently no way for the user to gain knowledge of his/her consumption and how he/she could help save energy.
Our research is an effort to facilitate this by providing every user with a real-time energy footprint and intelligent, personalized suggestions to provide users with actionable feedback.
55
Energy Monitors
15
active users
40000
Energy Saved (Watts)
10
Rewards Claimed
process flow
- energy monitoring
- user experience
- data analysis
- suggestions
We've deployed energy monitoring devices across the building in order to get an accurate measurement of the building's energy consumption. We measure heating, cooling, ventilation, lighting, and power outlet usage.
The more accurate our measurements are, the better we are able to find inefficiencies in the system. We are constantly improving our energy monitoring system in order to save as much energy as possible.
We want to give people the opportunity to help us save energy. To that end, we are working hard on a mobile application that will show you your energy footprint in realtime, new suggestions, and any rewards you have earned.
Our goal is to make the user experience intuitive, seamless, and unintrusive in your everyday life, so that you can focus on your work.
All energy data is collected on our cloud servers, where we analyze the building's energy usage and figure out ways to optimize energy savings. We are constantly improving our algorithms to better save energy.
We realize that privacy is a big concern, so we use a secure server to host the data. We also collect the information securely and anonymously, so there is no risk to your privacy.
Every so often, your mobile device may display one of our recommendations for how to save energy. Accepting or rejecting the recommendation will give us feedback for how to improve our recommendations.
In return for accepting our recommendations, we hope to reward you in some way, either with free coffee to aid those late nights, or with Amazon gift cards for the highest performers at the end of each month.
participate in our study
A major portion of our research focuses on user-centric optimizations to help save energy. We need your help to test, evaluate and improve our system. We would be greatful if you could help us out by participating in our study. The study is very non-intrusive and user friendly. We also hope to provide you with small rewards for helping us out.
Being fellow researches, we believe you would understand the importance of user study and how you would be able to contribute to the research community. If you are willing to participate in our study, please go through and fill up the form below and we will co-ordinate with you.
Finally, if you would like to read our privacy policy, you can access it here: Privacy Policy
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Our study will be performed over the course of five weeks in May/June of 2018. The study will be as non-intrusive as possible, in order to not interfere with daily work schedules.
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Participants will receive four types of recommendations through the mobile application: move location, shift schedule, reduce plugmeter consumption, and lift/lower shade. Participants can choose to accept or reject each recommendation.
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For accepting a recommendation, participants will be rewarded with points which go towards any number of rewards, including Amazon gift cards and coffee.
download the mobile app
iOS
You can find us on the App Store! Just search “ICSL Energy” on the App Store, or scan the QR code:
Android
We’re on the Google Play Store! Just search “ICSL Energy” in the search box or scan the QR code:
contact us
Peter Wei
pw2428@columbia.edu
Stephen Xia
sx2194@columbia.edu