Overall Rating Gold - expired
Overall Score 66.39
Liaison Dianne Anderson
Submission Date Jan. 31, 2011
Executive Letter Download

STARS v1.0

New York University
OP-22: Water Consumption

Status Score Responsible Party
Complete 4.58 / 7.00 Jeremy Friedman
Manager, Sustainability Initiatives
Operations
"---" indicates that no data was submitted for this field

Water consumption, 2005 baseline year:
575,629,010 Gallons
+ Date Revised: May 24, 2013

Water consumption, performance year :
499,203,606 Gallons
+ Date Revised: May 24, 2013

On-campus residents, 2005:
12,609

Full-time, non-residential/commuter students, faculty, and staff members, 2005:
24,284

Part-time, non-residential/commuter students, faculty, and staff members, 2005:
12,555

On-campus residents, performance year:
11,858

Non-residential/commuter full-time students, faculty, and staff members, performance year:
28,393

Non-residential/commuter part-time students, faculty, and staff members, performance year:
14,052

The website URL where information about the institution’s water conservation initiatives is available:
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Data source(s) and notes about the submission:

Currently, due to billing and payment mechanisms in association with New York City government, and antiquated metering infrastructure, it is not possible to simply sum digital-format billing or metering data to accurately reflect NYU buildings' consumption or demand reduction.

Instead, a representative subset of NYU's building stock has been analyzed and vetted in depth to control for billing and metering errors, rebills and back billing, buildings coming on and off line, and other factors. This sample represents a very sizable portion of NYU's total building stock and includes buildings of all types.

While NYU's data tracking systems for water consumption are highly imperfect and must be improved in order to accurately reflect total consumption, this methodology captures the intent of the credit and recognizes substantive efforts that have reduced water consumption, while leaving the door open to better data sources in the future.

Recent efforts, such as comprehensive low-flow showerhead and sink aerator retrofits in dorms, are estimated to have reduced demand by approximately 90 million gallons of water.

The baseline data and current data for each account included here have been pulled from the web-based NYC Department of Environmental Protection database.

NYU is halfway through a process of coordination with the NYC Department of Environmental Protection to install effective automated water meter readers (AMRs), an effort which will improve the data's reliability in the future.


Currently, due to billing and payment mechanisms in association with New York City government, and antiquated metering infrastructure, it is not possible to simply sum digital-format billing or metering data to accurately reflect NYU buildings' consumption or demand reduction.

Instead, a representative subset of NYU's building stock has been analyzed and vetted in depth to control for billing and metering errors, rebills and back billing, buildings coming on and off line, and other factors. This sample represents a very sizable portion of NYU's total building stock and includes buildings of all types.

While NYU's data tracking systems for water consumption are highly imperfect and must be improved in order to accurately reflect total consumption, this methodology captures the intent of the credit and recognizes substantive efforts that have reduced water consumption, while leaving the door open to better data sources in the future.

Recent efforts, such as comprehensive low-flow showerhead and sink aerator retrofits in dorms, are estimated to have reduced demand by approximately 90 million gallons of water.

The baseline data and current data for each account included here have been pulled from the web-based NYC Department of Environmental Protection database.

NYU is halfway through a process of coordination with the NYC Department of Environmental Protection to install effective automated water meter readers (AMRs), an effort which will improve the data's reliability in the future.

The information presented here is self-reported. While AASHE staff review portions of all STARS reports and institutions are welcome to seek additional forms of review, the data in STARS reports are not verified by AASHE. If you believe any of this information is erroneous or inconsistent with credit criteria, please review the process for inquiring about the information reported by an institution or simply email your inquiry to stars@aashe.org.