Near-complete campus energy use data is available for all owned and leased buildings, representing 13,341,307 square feet of building space.

There are several exceptions:

1) The NYU Langone Medical School is a largely autonomous entity which does not fall within the organizational boundary established by this inventory; neither their emissions nor their buildings' square footage are included.

2) The newly-affiliated Polytechnic Institute of NYU remains relatively autonomous in terms of its operational structure, and neither their emissions nor their buildings' square footage are included in this inventory. Like the School of Medicine, NYU-Poly has independently signed on to the NYC Mayoral Challenge, and has begun its own climate action planning process.

3) This inventory extends only to NYU's buildings and infrastructure within New York City, and not to any NYU-affiliated sites or campuses in other countries.

Our standard has been to assume "ownership" of emissions for all buildings which we occupy and for which we pay utility bills. This figure represents nearly all of NYU's holdings, owned or leased, in NYC.

As a signatory of New York City's PlaNYC 2030 Climate Challenge, we are required to submit an emissions inventory to the Mayor's office using a set of emissions coefficients and standards comparable to those used for New York City's own greenhouse gas inventory. This is a terrific way for NYU to understand its relationship with NYC -- to the tune of nearly .3% of all NYC emissions under the aegis of the university.

For certain coefficients and calculations, however, NYU has encountered additional needs which extend beyond inventorying, toward modeling future emissions and reduction strategies under the Climate Action Plan.

To this end, a collaboration between Operations, the Sustainability Task Force, and the student Climate Action Plan team developed a comprehensive spreadsheet tool which replaced ICLEI as NYU's primary inventory calculator and emissions reduction modeler, listing all University buildings and their commodity use of grid electricity, natural gas, heating oils, and steam. The spreadsheet was designed to calculate emissions for individual buildings or fuel sources and to aggregate and report this information.

This new tool enabled NYU to dynamically explore diverse emissions reduction projects and strategies targeting specific commodities or buildings that would lead to the largest environmental benefits.

ICLEI's CACP Software includes emissions coefficients embedded in the software package (based on the IPCC Second Assessment Report, as listed below).

In coordination with New York City's own inventory and our participation in the Mayoral Challenge, we applied modified versions of ICLEI emissions coefficients for electricity, steam and heavy fuel oil which correspond to the localized custom coefficients used by the City. These were retroactively edited in NYC's 2009 and again in their 2011 GHG inventory report, and similarly edited retroactively here.

Unmodified ICLEI coefficients for waste stream landfill emissions were used in our inventory.

With advice from the NYU Sustainability Task Force Environmental Assessment working group, NYU Office of Sustainability staff distributed a data request to operational departments throughout the university.

Utility, transportation, waste and other data were assembled as part of NYU's comprehensive annual Environmental Assessment effort, of which this inventory is one component. For more information on our Environmental Assessment, please visit: http://www.nyu.edu/sustainability/environmental.assessment/

During the 2008-2009 academic year, the Energy and Water Working Group of NYU's Sustainability Task Force brainstormed an effective Climate Action Plan methodology, produced basic structural outlines, and designed an initial data spreadsheet that calculated NYU's estimated greenhouse gas inventory for energy.

The custom spreadsheet tool houses (1) NYU's comprehensive building list, with details such as associated commodity consumption per building, square footage, and building type and (2) the emissions coefficients provided by the New York City Mayor's Office. These serve as tracking tools from which all other calculations in the spreadsheet draw (for instance, the greenhouse gas inventory is also tracked on the spreadsheet, generated from commodity consumption data and emissions coefficients).

No information provided

1) The inventory emissions totals for our university-owned vehicle fleet (53 vehicles)for 2006 are based on the projection of gasoline purchases from a single month onto the entire year. We are making the assumption that the purchases in this one month (November 2007) are representative of gasoline consumption for the given year. (Note that the larger volume of emissions from the contracted third-party student shuttle fleets are based on total annual gasoline consumption, not a single month of gasoline bills.) After 2006, we began to obtain these figures for an entire fiscal year, and found the actual results on par with this sampling method.

2) University-related air travel emissions are listed as a required field in this report. However, NYU does not currently centrally track student, faculty or staff air travel. These purchasing decisions are made either on a department-specific or a private basis (and reimbursed); purchasing records do not include number of flights, flight distances, or destinations. We will seek to develop methods of evaluating this gap in our data in future inventories. It is likely that future inclusion of university-related air travel will substantively enlarge NYU's total emissions inventory.

3) NYU did not centrally track student, faculty or staff commuting as of 2006. In 2009, we gained access to data on approximate distances from campus that students, faculty and staff lived, and then used results from a professionally-administered survey estimating student, faculty and staff commuting habits, and gained a transportation modal split. Using these data we compiled a customized GHG inventory tool for commuting emissions, and have applied that 2009 result to prior (2006-08) and subsequent years.

In future inventories, we plan to utilize an in-development customized food/procurement greenhouse gas emissions estimation calculator which will enable us to quantify and include this element of our climate impact.

No information provided

No information provided

No information provided

Endowment figure based on FY 2007 statistics.

Sustainability Manager Jeremy Friedman reviewed, using data provided by Director of Energy and Sustainability Cecil Scheib and other university administrative and departmental staff. Please see New York University's Climate Action Plan Report for more on the process of GHG Inventory development, assembly, auditing and verification. www.nyu.edu/sustainability/climateaction