ACUPCC Reporting System

GHG Report for University of Maryland University College

Submitted on November 23, 2010; last updated on December 2, 2012

Summary Statistics

Making fair comparisons between higher education institutions is always challenging due to the rich diversity of higher education. The unverified nature of the information in this database and unavailability of unbiased normalization metrics means such comparisons are even more difficult. Users should therefore approach direct institution to institution comparisons with caution and recognize that all comparisons between institutions are inherently biased.
Total Per Full-Time Enrollment Per 1000 Square Feet % Offset
Gross emissions (Scopes 1 + 2) 10,287 metric tons of CO2e 0.6 metric tons of CO2e 10.3 metric tons of CO2e 0%
Gross emissions (Scopes 1 + 2 + 3) 22,621 metric tons of CO2e 1.2 metric tons of CO2e 22.7 metric tons of CO2e 0%
Net emissions 22,572 metric tons of CO2e 1.2 metric tons of CO2e 22.7 metric tons of CO2e N/A

Emissions Inventory Methodology and Boundaries

Start date of the 12-month period covered in this report January 1, 2009
Consolidation methodology used to determine organizational boundaries Financial control approach
If any institution-owned, leased, or operated buildings or other holdings that should fall within the organizational boundaries are omitted, briefly explain why.

No buildings or facilities that fell within the organizational boundary (financial control) were omitted.

Emissions calculation tool used Clean Air-Cool Planet
Please describe why this tool was selected.

The calculator enabled easy entry and conversion of collected data to its carbon dioxide equivalent based on global warming potential. The CACP Campus Carbon Calculator inventoried all six greenhouse gases outlined by the Kyoto treaty. It adapted protocols established by the Intergovernmental Panel on Climate Change (IPCC) for national-level GHG accounting for use at an academic institution.

Please describe the source(s) of the emissions coefficients used.

CA-CP Campus Carbon Calculator's default emissions coefficients.

Which version of IPCC's list of global warming potentials did you use? No information provided
Who primarily conducted this emissions inventory? External consultant
Please describe the process of conducting the inventory.

University operational boundary activities referred to as University GHG emissions included all those outlined in the WRI/WBCSD GHG protocol. Scope 1 emissions are associated with on-campus stationary sources, including the University fleet (gasoline), agricultural activities (fertilizer application), purchased gas (for steam generation), and fugitive emissions from hydrochlorofluorocarbons (HCFCs) from HVAC systems. Scope 2 emissions include purchased electricity. Scope 3 considers GHG emissions associated with students and faculty/staff commuting in personally-owned vehicles, air travel for university-related activities, landfill emissions that resulted from University generated solid waste, waste water, and paper procurement. The off-campus activities of UMUC community members (e.g., energy consumption from student and faculty/staff housing) are outside the scope of this study. Also, with the exception of paper, all upstream GHG emissions associated with the production of equipment (e.g., electronics) and materials (e.g., construction materials) used by the University are not included. The GHG protocol (WRI/WBCSD 2004) requires organizations to account for Scopes 1 and 2, but leaves Scope 3 optional. The University of Maryland University College GHG inventory includes Scope 3, which means it takes the broadest perspective possible under the protocol.

The organization/spatial boundary was based on two guiding principles:
1) Only include buildings owned and controlled by the University or for which the University pays the electric-power bill.
2) For calculating commuting emissions, include all stateside online students and only Washington, DC metro area and Maryland faculty, staff, and face-to-face/hybrid course students.

Please describe any emissions sources that were classified as de minimis and explain how a determination of the significance of these emissions was made.

There were no emissions sources excluded from this inventory and no sources classified as de minimis.

Please describe any data limitations related to this submission and any major assumptions made in response to these limitations.

Quantifying the GHG emissions from commuter traffic proved to be one of the most challenging tasks. Due to a lack of transportation-related surveys, average commuting behavior (e.g. carpool, single driver, frequency of trips to campus, commuting distance) was not available. To estimate the commuting contribution to GHG emissions, a new protocol was developed including the following assumptions:

1. Students enrolled in face-to-face classes are assumed to have attended
each class meeting.

2. Students enrolled in hybrid courses are assumed to have attended half of all scheduled class meetings.

3. Students withdrawn from a face-to-face or hybrid course attended half
as many class meetings as those students who went through the semester.

4. Independent studies and credit by examination courses did not meet. (I.e., there are no round trips associated with the class registration.)

5. Undergraduate students enrolled in online courses made one roundtrip
per semester per class to complete the final exam.

6. Graduate students in online classes made zero trips.

7. Students withdrawn from an online class did not travel in that semester
for that class.

8. DM students taking classes in Taiwan are excluded from the counts.

9. Students with registrations in classes held onsite at place of employment made zero trips.

10. Zip codes for class locations without zip codes in the transaction system were determined from the UMUC website. Hybrid class zip codes were assumed to be the same as their face-to-face counterpart.

11. Only Adelphi students taking Adelphi division classes were included in the data. MILDE students (overseas based distance ed), for this reason, do not appear in the data.

12. Home zip code was given preference for determining student zip code.

13. Drops were not included in any of the data.

14. All holidays are assumed to have been observed and no class meetings
on UMUC holidays were included in the data.

15. Hybrid classes with no meeting pattern are assumed to have met once
per week. No attempt to remove holidays is made for these classes.

16. Face-to-face classes with no meeting pattern are assumed to have met
twice per week. No attempt to remove holidays is made for these classes.

For student commuting, the Assistant Vice President in the Office of Institutional Planning, Research and Accountability provided the Inventory Team with the number of roundtrips made by students for each unique trip for face-to-face and hybrid classes and total roundtrips for online classes (undergraduates in online classes must travel to a testing location for exams). Embedded in the roundtrip numbers were the number of students per class, number of classes per semester, and the frequency of class meeting. A number of assumptions went into producing these roundtrip numbers (see above). A single trip consists of unduplicated zip code of origin (home) and zip code of destination (classroom). Each unique trip was measured using Mapquest. Once it was assumed each student made 2 trips per roundtrip, total mileage per unique trip and for all roundtrips was measured. The furthest a student was assumed to drive for class was 60 miles; all distances over 60 miles, many of which were unreasonable cross-country commutes, were assigned the median distance for all student trips under 60 miles. Because the travel behavior of undergraduate online students was unknown, it was assumed they traveled the median face-to-face distance per trip for each test.

For faculty and staff commuting, the HRIS Director in the Office of Human Services and the General Manager of the UMUC Inn and Conference Center provided the Inventory Team with the number of employees commuting to the designated locations and the number of part and full time employees. It was assumed all full-time employees worked 215 days/year and part-time employees worked 125 days/year and all trips were made twice per day. Telecommuters were assumed to never commute. The furthest an employee was assumed to drive for work was 80 miles; all distances over 80 miles were assigned the median distance for all faculty and staff trips under 80 miles.

Emissions Data

Emissions from the following sources (in metric tons of CO2e)

Scope 1 Emissions
Stationary Combustion 797.3 metric tons of CO2e
Mobile Combustion 13.7 metric tons of CO2e
Process Emissions 6.1 metric tons of CO2e
Fugitive Emissions 0.0 metric tons of CO2e
Total Scope 1 emissions 817.1 metric tons of CO2e
Scope 2 Emissions
Purchased Electricity 9,469.9 metric tons of CO2e
Purchased Heating 0.0 metric tons of CO2e
Purchased Cooling 0.0 metric tons of CO2e
Purchased Steam 0.0 metric tons of CO2e
Total Scope 2 emissions 9,469.9 metric tons of CO2e
Scope 3 Emissions
Commuting 9,609.8 metric tons of CO2e
Air Travel 1,451.7 metric tons of CO2e
Solid Waste 180.9 metric tons of CO2e
Paper and Wastewater 95.6 metric tons of CO2e
Transmission and Distribution 936.3 metric tons of CO2e
Other Financed Travel 59.3 metric tons of CO2e
Total Scope 3 emissions 12,333.6 metric tons of CO2e
Biogenic Emissions
Biogenic Emissions from Stationary Combustion No information provided
Biogenic Emissions from Mobile Combustion No information provided

Mitigation Data

Carbon Offsets
Carbon offsets purchased No information provided
Offset verification program(s) No information provided
Description of offsets purchased (including vendor, project source, etc.)

No information provided

Renewable Energy Certificates (RECs)
Total RECs purchased None kWh
Percent of total electricity consumption mitigated through the purchase of RECs None %
Emissions reductions due to the purchase of RECs No information provided
REC verification program(s) No information provided
Description of RECs purchased (including vendor, project source, etc.)

No information provided

Sequestration and Carbon Storage
Sequestration due to land owned by the institution No information provided
Description of how sequestration was calculated

No information provided

Carbon storage due to composting 48.6 metric tons of CO2e

Normalization and Contextual Data

Building Space
Gross square feet of building space 995,198.0 sq ft
Net assignable square feet of laboratory space No information provided
Net assignable square feet of health care space No information provided
Net assignable square feet of residential space No information provided
Population
Total Student Enrollment (FTE) 18368.0
Residential Students No information provided
Full-time Commuter Students No information provided
Part-time Commuter Students No information provided
Non-Credit Students No information provided
Full-time Faculty No information provided
Part-time Faculty No information provided
Full-time Staff No information provided
Part-time Staff No information provided
Other Contextual Data
Endowment Size No information provided
Heating Degree Days 4851
Cooling Degree Days 944
Please describe any circumstances specific to your institution that provide context for understanding your greenhouse gas emissions this year.

Significant growth occurred within the established boundaries of the GHG inventory. The number of students, faculty and staff increased by 8, 4 and 29 percent between 2008 and 2009, respectively. Additionally, the total physical space captured in the inventory increased by 230,359 square feet, or 30 percent, between 2008 and 2009 as a result of the Academic Center at Largo.

The Academic Center at Largo demonstrates UMUC’s commitment to climate neutrality. In June 2010, the building was certified LEED Gold due to water efficiency features and innovation in building design among other characteristics . LEED Silver certification for all new buildings was established as an early tangible action the University would adopt under the American Colleges and Universities President’s Climate Commitment. Another important feature of the new facility is that it is accessible via Metro-rail and Metro-bus.

Last, we shifted to calendar year temporal scope (previously fiscal year) to better align with State reporting requirements.

Supporting Documentation

Completed inventory narrative Carbon Footprint of the University of Maryland University College: An Inventory of Greenhouse Gas Emissions (CY 2009)
Download
Completed inventory calculator No information provided

Auditing and Verification

These emissions data have not been audited, verified, or peer-reviewed.