MOVING FROM WASTE MEASUREMENT TO WASTE MANAGEMENT Michael J. Gulich, AIA, LEED Director of University Sustainability Purdue University Tamm Hoggatt Assistant Director of University Sustainability Purdue University Chris Ronson Solutions Manager Emerge Knowledge

IF YOU CAN’T MEASURE IT, YOU CAN’T MANAGE IT. - Peter Drucker 2

PURDUE UNIVERSITY WEST LAFAYETTE CAMPUS  Approximately 40,000 students and over 15,000 faculty and staff  381 buildings on campus in West Lafayette, IN  Land grant college founded in

PURDUE UNIVERSITY SOLID WASTE MANAGEMENT 4

PURDUE UNIVERSITY SOLID WASTE MANAGEMENT PHILOSOPHY 5  Single-stream (for the most part)  Separate streams for:  Office paper (includes confidential paper)  High-volume producers of cardboard

PURDUE UNIVERSITY SOLID WASTE MANAGEMENT PHILOSOPHY 6  Trash cans removed from all desks in 2009 – went from trash pickup 3x/week to recycling pickup 2x/week  5,500 recycling containers in residence hall rooms  Narrow definition of landfill trash (academic core):  Food waste  Napkins and tissues  Restroom hand towels

PURDUE UNIVERSITY GOALS OF THE PROGRAM  Maximize Purdue’s diversion rate by the most cost- effective and efficient means  Reduce the amount of waste currently landfilled  Raise Purdue’s diversion rate to 85% by % BY 2014

DIVERSION RATE WHAT IS DIVERSION RATE? 8  Diversion rate is calculated as: Total Recycling Collected x 100 Total Waste Generated (Recycling Collected + Landfill Trash) Expressed as a %

DIVERSION RATE PURDUE’S DIVERSION RATES 9  Traditional Diversion Rate (50% for )  Institutional Diversion Rate (80% for )  Reported to the public  85% target by 2014  Comprehensive Diversion Rate (91% for )  Recyclemania Diversion Rate (36% for 2012)  Game Day Challenge Diversion Rate (18% for 2012)

DIVERSION RATE TRADITIONAL DIVERSION RATE 10  Traditional Diversion Rate (50% for )

DIVERSION RATE TRADITIONAL DIVERSION RATE 11

DIVERSION RATE INSTITUTIONAL DIVERSION RATE 12  Institutional Diversion Rate (80% for )

DIVERSION RATE COMPREHENSIVE DIVERSION RATE 13  Comprehensive Diversion Rate (91% for )

DIVERSION RATE NATIONAL STANDARDS 14  No national standard for what is in the diversion rate  AASHE STARS (v1.2)  OP Credit 18: Waste Diversion – materials destined for disposal in a landfill or incinerator but diverted by recycling, composting, reuse, donation, or resale – does not include construction, demolition, electronic, hazardous, special, universal and non- regulated chemical waste  OP Credit 19: C&D Waste Diversion  OP Credit 20: Electronic Waste Recycling

LANDFILLED MATERIAL ALTERNATIVE METRIC 15

WASTE AUDITS RESIDENCE HALLS 16 Cary Quad – Floor 3 10% Landfill | 90% Recycling

WASTE AUDITS RESIDENCE HALLS 17 Cary Quad – Floor 4 5% Landfill | 95% Recycling

WASTE AUDITS RESIDENCE HALLS 18 Harrison Hall 10% Landfill | 90% Recycling

WASTE AUDITS RESIDENCE HALLS 19 Meredith Hall – Floor 3 10% Landfill | 90% Recycling

WASTE AUDITS RESIDENCE HALLS 20 Harrison Hall 50% Landfill | 50% Recycling

WASTE AUDITS SHREVE HALL | ECO-REPS 21

WASTE AUDITS SHREVE HALL | ECO-REPS 22

WASTE AUDITS RAWLS HALL | LEED-EB:O+M 23

WASTE AUDITS RAWLS HALL | LEED-EB:O+M 24

RECYCLEMANIA OPPORTUNITY FOR NEW DATA 25  No national standard for what is in the diversion rate  AASHE STARS (v1.2)  OP Credit 18: Waste Diversion – materials destined for disposal in a landfill or incinerator but diverted by recycling, composting, reuse, donation, or resale – does not include construction, demolition, electronic, hazardous, special, universal and non- regulated chemical waste  OP Credit 19: C&D Waste Diversion  OP Credit 20: Electronic Waste Recycling

RECYCLEMANIA 26

RECYCLEMANIA 27 RECYCLE MADNESS RESULTS Diversion Rate During Recyclemania  University Residences = 24.45%  Campus Average = 38.51%  Academics Campus = 52.57%

GAME DAY CHALLENGE ALCOA FOUNDATION ACTION TO ACCELERATE GRANT 28

GAME DAY CHALLENGE ALCOA FOUNDATION ACTION TO ACCELERATE GRANT 29  Year 1 (2012) Target = 20% diversion rate  Year 2 (2013) Target = 50% diversion rate 5.3% 7.6% 11.4% 15.1% 11.8% 7.4% 18.3%

SEARCH FOR DYNAMIC TRACKING TOOL NEEDS FOR TRACKING TOOL 30  Real time tracking – not end of year  Monthly data  Trending analytics  Simplify reporting on campus  One source of data  Eliminate multiple spreadsheets  Departments to have ownership of their waste stream data and to have access to analytics (peer pressure)  Scalable

SEARCH FOR DYNAMIC TRACKING TOOL EVALUATION CRITERIA FOR TRACKING TOOL SELECTION 31  Are all of Purdue’s waste streams supported?  How many users are supported?  What is level of security / are there administrator rights?  What analytics / reporting are available?  Is customer support provided during piloting & setup?  Can it track Purdue’s historical diversion rates?  Can users edit data entry ‘tickets’?  Is who entered the data tracked?  What does the package cost?  Is it user friendly?

RE-TRAC CONNECT PILOT PHASE 32

RE-TRAC CONNECT PILOT PHASE 33

RE-TRAC CONNECT TRAINING & IMPLEMENTATION 34 Departments trained to-date:  Grounds  Gravel Pit Operation  Materials Management & Distribution  Warehouse & Surplus  Radiological & Environmental Services Departments to be trained:  University Residences  Physical Facilities  Purdue Memorial Union (PMU)  Food Stores  Smith Hall (academic butcher shop)  Wade Power Plant  Transportation Services

RE-TRAC CONNECT TRAINING & IMPLEMENTATION 35

RE-TRAC CONNECT ANALYTICS 36

RE-TRAC CONNECT ANALYTICS 37

RE-TRAC CONNECT ANALYTICS 38

RE-TRAC CONNECT ANALYTICS 39

RE-TRAC CONNECT ANALYTICS 40

RE-TRAC CONNECT LESSONS LEARNED 41  Diversion rate can be a good metric, but it’s not the whole picture  Too much data is never enough  Be consistent, but don’t necessarily be bound by your historical data categories  Ask lots of questions  Don’t assume past tracking data is complete

RE-TRAC CONNECT LESSONS LEARNED 42  Don’t assume each department is capturing all their recycling data  Even though departments furnished total recycling amounts, we learned departments were tracking streams much more granularly than we assumed  You can NEVER have enough trending reports  No matter how thorough training was and how detailed the training materials are, you still need to audit the data  Garbage in, garbage out