Overall Rating	Silver
Overall Score	57.01
Liaison	Meghna Tare
Submission Date	April 3, 2022

STARS v2.2

University of Texas at Arlington
OP-1: Emissions Inventory and Disclosure

Status	Score	Responsible Party
	1.67 / 3.00	Meghna Tare Director Office of Sustainability

"---" indicates that no data was submitted for this field

Part 1. Greenhouse gas emissions inventory

Has the institution conducted a GHG emissions inventory within the previous three years that includes all Scope 1 and 2 emissions? :

Yes

A copy of the most recent GHG emissions inventory:

UTA_GHG_Inventory_FY19.xlsx

A brief description of the methodology and/or tool used to complete the GHG emissions inventory:

UNH's Sustainability Indicator Management & Analysis Platform (SIMAP) was used for UT Arlington’s inventory. SIMAP is a browser-based tool for use in tracking and calculating greenhouse gas emissions. We selected the this platform because it was designed specifically for higher education campuses, measures three major greenhouse gases (CO2, CH4, N2O), and is being regularly improved and updated to reflect the most accurate emissions rates.

The major emission source categories are on-campus energy production, purchased electricity, transportation, waste, agriculture and refrigerants. Looking at the emissions levels in each of these categories provides a good idea of the best opportunities for emissions reduction. The Campus Carbon Calculator uses standard methodologies codified by the Greenhouse Gas Protocol (GHG) Initiative, and employed by corporations, the state of California, The Climate Registry, and other entities to account for greenhouse gas emissions

Has the GHG emissions inventory been validated internally by personnel who are independent of the GHG accounting and reporting process and/or verified by an independent, external third party?:

A brief description of the GHG inventory verification process:

The Inventory was designed as a class project. It has not been verified or certified.

Documentation to support the GHG inventory verification process:

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Scope 1 GHG emissions

Gross Scope 1 GHG emissions, performance year:

	Weight in MTCO2e
Stationary combustion	20,511 Metric tons of CO2 equivalent
Other sources (mobile combustion, process emissions, fugitive emissions)	1,016.09 Metric tons of CO2 equivalent

Total gross Scope 1 GHG emissions, performance year:

21,527.09 Metric tons of CO2 equivalent

Scope 2 GHG emissions

Gross Scope 2 GHG emissions, performance year (market-based):

	Weight in MTCO2e
Imported electricity	54,746.91 Metric tons of CO2 equivalent
Imported thermal energy	0 Metric tons of CO2 equivalent

Total gross Scope 2 GHG emissions, performance year:

54,746.91 Metric tons of CO2 equivalent

GHG emissions from biomass combustion

Gross GHG emissions from biogenic sources, performance year:

0 Metric tons of CO2 equivalent

Scope 3 GHG emissions

Does the GHG emissions inventory include Scope 3 emissions from the following sources?:

	Yes or No	Weight in MTCO2e
Business travel	Yes	6,451.32 Metric tons of CO2 equivalent
Commuting	Yes	25,536.88 Metric tons of CO2 equivalent
Purchased goods and services	Yes	1,474.86 Metric tons of CO2 equivalent
Capital goods	No	0 Metric tons of CO2 equivalent
Fuel- and energy-related activities not included in Scope 1 or Scope 2	Yes	2,803.30 Metric tons of CO2 equivalent
Waste generated in operations	No	0 Metric tons of CO2 equivalent
Other sources	No	0 Metric tons of CO2 equivalent

Total Scope 3 GHG emissions, performance year:

36,266.36 Metric tons of CO2 equivalent

A brief description of how the institution accounted for its Scope 3 emissions:

Commuting data was determined from the transportation survey conducted on the year 2020, the percent usage of each commute was estimated. The same percent was used for all the three years as there was a data gap in the study.

Business and study abroad travel data was provided by the office of public records at UTA. All the official travel reimbursed by UTA for business and academic use was considered.
Food outlets with a 1.5-mile radius from the center of UTA with a 90 percent UTA related customer walk in was considered for the food data. The data was collected from the outlet managers. Paper data was obtained from the office of sustainability records.

Part 2. Air pollutant emissions inventory

Has the institution completed an inventory within the previous three years to quantify its air pollutant emissions?:

Annual weight of emissions for::

	Weight of Emissions
Nitrogen oxides (NOx)	---
Sulfur oxides (SOx)	---
Carbon monoxide (CO)	---
Particulate matter (PM)	---
Ozone (O3)	---
Lead (Pb)	---
Hazardous air pollutants (HAPs)	---
Ozone-depleting compounds (ODCs)	---
Other standard categories of air emissions identified in permits and/or regulations	---

Do the air pollutant emissions figures provided include the following sources?:

	Yes or No
Major stationary sources	---
Area sources	---
Mobile sources	---
Commuting	---
Off-site electricity production	---

None

A brief description of the methodology(ies) the institution used to complete its air emissions inventory:

---

Optional Fields

Gross Scope 2 GHG emissions from purchased electricity (location-based):

51,800.83 Metric tons of CO2 equivalent

Gross Scope 2 GHG emissions from imported thermal energy (location-based) :

0 Metric tons of CO2 equivalent

Website URL where information about the institution’s emissions inventories is available:

---

Additional documentation to support the submission:

UTA_GHG_Inventory_FY19_Location-Based.xlsx

Data source(s) and notes about the submission:

SIMAP provides the option to calculate GHG emissions from Scope 2 both with the market-based method and location-based method. For the optional field, a copy of the emissions inventory was run with the location-based method and is attached.

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.