Methodology and Emission Factors
Scope 1
Scope 1 emissions came from natural gas combustion at NZero’s headquarters in Reno, Nevada. NZero leases an office space in downtown Reno and receives utility bills from the landlord which were used to measure how much natural gas was used. The emission factor for natural gas was sourced from EPA’s Emission Factors for GHG Inventories (September 2023).
Scope 2
Scope 2 emissions in 2023 came from purchased electricity at NZero’s headquarters based in Reno, Nevada. NZero employs an advanced grid study to calculate Scope 2 emissions, which takes into account the seasonal, daily and hourly variation in location-based emission factors to provide a more accurate and detailed measurement of Scope 2 emissions.
The grid study uses facility-specific and resource-specific data that is matched to actual generation dispatch and linked to the time of consumption, which results in a more comprehensive and precise measurement than using an annual grid average emission factor (e.g. EPA eGRID dataset). NZero's hourly emission factors account for local variability in the actual electricity generation on an hourly basis. The data used in the study is available to the public and comes from sources such as balancing authority data, plant information, and thermal plant generation data published by organizations like the Environmental Protection Agency (EPA), Energy Information Administration (EIA), and International Energy Agency (IEA). NZero's automated emissions modeling system aggregates these data sources to accurately model hourly emissions factors. NZero’s Scope 2 methodology provides the highest level of precision for Scope 2 carbon accounting while ensuring adherence to the GHG Protocol Scope 2 Guidance.
NZero HQ does not have AMI submeters on site to collect hourly electricity consumption data, so data was collected from monthly utility bills. Since monthly bill readings were the most granular data available, the hourly carbon intensity of the grid in Reno for each month of 2023 was averaged and matched to NZero’s monthly electricity consumption to calculate emissions.
Scope 3
Category 1: Purchased Goods & Services
This category includes all Purchased Goods and Services that were tracked through our procurement system, where all items purchased for company purposes are recorded. Emissions were calculated using EPA’s Supply Chain GHG Emission Factors for the U.S. Industries and Commodities report which provides emission factors that cover all categories of goods and services in the US economy. Major items within this category include emissions from NZero’s Cloud Storage, Zoom usage, Food and Drink, Office Supplies and Electronics, Software Subscriptions, Healthcare Expenditures, Co-working Spaces rented by NZero, and other miscellaneous goods & services. NZero uses Amazon Web Services (AWS) for cloud storage and emissions data was retrieved directly from the AWS website.
Research has shown that there is a large variance in emissions when video cameras are turned on compared to when they are turned off (Obringer et al., 2021). As such, Zoom meetings emissions were calculated using an emission factor taking into consideration both the duration of the meeting and its video setting.
Category 5: Waste Generated in Operations
Two sources of waste data were included for 2023. The first was waste from NZero’s HQ, where data was collected on the amount of garbage being thrown out each week. The volume of waste was converted to weight using EPA’s Volume-to-Weight Conversion Factors.
The second source of data was from NZero’s Employee Survey where employees were asked about their work from home behaviors and how much paper, plastic, aluminum, glass, and food waste they generated while working from home during work hours. Data was also collected on the disposal method for each type of waste.
About 63% of employees responded to the survey and data was extrapolated to capture the footprint of the entire company. Emission factors for waste were sourced from EPA’s Emission Factors for Greenhouse Gas Inventories (September 2023).
Category 6: Business Travel
This category includes emissions from flights, taxi services including Uber and Lyft, public transportation, rental cars, and personal vehicles used for business purposes. Emissions from hotel accommodations during business trips were also included in this category. All business travel data was tracked and collected through NZero’s procurement system, or via company-wide airline reports.
All emissions in this category except for emissions from personal vehicles and flights captured in the airline reports were calculated using spend based emission factors (CO2e/$) from EPA’s Supply Chain GHG Emission Factors for U.S. Industries and Commodities. For commercial air travel, the departure airport and arrival airports were extracted from the airline reports and distances between airports were calculated using the great circle distance (GCD) plus a route variance factor of 5%. The factor was calculated from the variations between the GCD and actual flight paths pulled via an API. Flights were categorized into short, medium and long haul flights with a distance-based emission factor being applied to each flight distance. For flights not captured in the airline reports, a spend based factor was used. For personal vehicles, it was assumed that the amount of fuel purchased was the amount of fuel used, and that all vehicles used regular motor gasoline. The amount spent on gasoline was converted into gallons of motor gasoline using the US average 2023 price for gasoline, and a fuel-based emission factor from the EPA was applied. The Climate Registry’s factors for estimating CH4 & N2O emissions from gasoline and diesel vehicles were used to account for CH4 & N2O emissions from personal vehicles.
Category 7: Employee Commuting
This category includes emissions from all employees, contractors and interns commuting to and from work, as well as emissions from people working from home offices. Data on employee commuting patterns, including mode of transportation, distance traveled, and vehicle make, model, year, and fuel economy, was also captured via NZero’s Employee Survey and emissions were calculated using a fuel-based emission factor for CO2, and a mileage-based emission factor for CH4 and N2O. Fuel usage was estimated based on the reported fuel economy of employee vehicles used for commuting and the distance traveled. Emissions were also adjusted for employees joining and leaving the company mid-year and extrapolated to employees who did not respond to the survey. Emission factors were sourced from the EPA’s Emission Factors for GHG Inventories (September 2023).
The integration of hourly carbon intensities allowed for a comprehensive understanding of the GHG emissions associated with remote work. Using the ResStock TMY3 2022 dataset sourced from the National Renewable Energy Laboratory (NREL), NZero’s data science team employed the open-source CatBoost software and built a geographically-aware gradient-boosted regression tree model that predicted hourly electric and gas Energy Use Intensity (EUI) on the basis of local weather data from WeatherAPI and various residence input features, which was then used to calculate emissions based on home sizes retrieved from the NZero Employee Survey. Emissions were attributed to each employee based on their work-from-home hours and the timeframe for which they were employed at NZero during 2023. To define the usage difference attributable to the employer’s Scope 3, we incorporated a marginal energy usage attributable to the counterfactual presence of each employee in their residence
Emissions were extrapolated to employees who did not take the survey or opted out of the survey by using the data collected from survey respondents to create an average NZero employee emission profile for an employee who worked at NZero all of 2023, and then attributing emissions appropriately to the timeframe all non-respondents worked at NZero during 2023.