The Smart Housing Project
Transcription
The Smart Housing Project
October 10, 2014 The Smart Housing Project: Motivating resource conservation through infrastructure, real-time feedback, & education Presented by: Amanda K. Sherman, Alan E.S. Schay, & Alexandra J. Rowe Smart-Housing Personnel Faculty Students o o o o o o o o Stephen Bird Lisa Legault Sue Powers Kerop Janoyan Daqing Hou Phil Hopke Greg Lacey (IBM) o o o o o o o o Amanda Sherman Alan Schay Alex Rowe Leila Nikdel Justin Marrott Sean McTigue Anton Pavlov Mark Bayer Pat Wilbur Multi-disciplinary o o o o o o o o Energy & Policy Psychology Mathematics Computer Science Software Engineering Electrical Engineering Civil Engineering Environmental Engineering 2 Quick Background • Two-year project (will request a third year) • Funded by: o o o o NYSERDA PON 2631~ $120,000 NYSERDA PON 2606~ $100,000 Clarkson ~ $130,000 co-share FLIR Systems ~ $50,000 • Support by IBM (e.g., servers, funded internship) • Objectives: o o o Study the effects of energy information and feedback on resource use Study the effects of motivational intervention and goal-setting Use data to develop more accurate building energy consumption models 3 Rationale Reminding students of the link between everyday action and resource use. Every time you: o o o plug in, turn on a tap, or turn up the heat, …you are using water, gas, oil, and coal. • • • • • • Environmental Impacts Public and Personal Health Climate Change Energy Security Resource Depletion Cost 4 The Cost to Society, Communities, & Clarkson • U.S. energy expenditure: ~$1.2 trillion (2010, 8.3% GDP)) o • Electricity: $1,272 per household / yr. Costs: very large o Coal Air Pollution: $187 billion (U.S.) / year e.g., crops, lakes, buildings, human health, and lives lost o o • Mercury health costs: $13.8 billion in EU / yr. California Air Pollution: $193 million in health costs Clarkson: $3.5 - 4 million / yr. on energy When we reduce consumption, those costs can be used for other things. e.g., better schools, parks, classrooms, dorm rooms, athletic facilities, etc. Data Collection: 3 Tracks of Research Track 1 Track 2 Track 3 Behavioral Study: Split Incentive Problem Improving Building Modeling via Energy Use Simulations Improving Facilities Management NYSERDA PON 2631 NYSERDA PON 2606 Clarkson University Year 1: 2013-2014 • Summer 2013: Construction to finished apartments • September – December: Record baseline energy & water use • January – February: Workshops (Informational, Feedback Training) • February: Introduce direct feedback o Smart Screen & Online Dashboard o Shower Orb o Email Messaging 7 Data Collection Type Electricity Air Quality Heat & Temperature Water • Breakdown Lights Plugs Stove/Oven Refrigerator Other/Misc. Overall CO/CO2 Particulate Matter Temp. Relative Humidity Hot Cold Overall Period Current Hour Today Week Month Year Between the 4 buildings, over 3,600 variables are collected every minute! Energy Modeling Working with NYSERDA, FLIR Systems, & BuildLab: • • Perform feasibility study on potential energy savings of smarter, responsive, automated building Improve simulation accuracy to better predict energy use Woodstock Village Building 8 Feedback Display & Online Dashboard Shower Orb Provides visual feedback on time spent in shower via readings from the water meters o o o Green: 1-5 minutes Yellow: 6-8 Red: 9+ 11 Thank you! We would like to acknowledge those who have contributed their invaluable time and constructive feedback to improve the quality of our work: o All the members of our research team o Clarkson’s Director of Facilities o o Research Into Action (RIA) & Action Research, Experimental design consultants Our project managers at NYSERDA