School of Sustainability Graduate Culminating Experiences
Student capstone and applied projects from ASU's School of Sustainability.
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- Creators: Davitt, Akilah
Description
The Arizona State University (ASU) Masters of Sustainability Solutions (MSUS) program connects student teams with real-world clients to solve real-world sustainability problems as a part of the students’ Culminating Experience in the program. This report details the project assigned to our group, the Emissions Data Detectives (EDD), in partnership with our client, Gannett Fleming. This project focuses on calculating greenhouse gas (GHG) emissions from the client’s leased office spaces across the United States and Canada.
In excess, GHGs trap heat in the atmosphere, negatively affecting global air quality and human health. In addition, top companies similar to our client are already disclosing their emissions, new legislation is aiming to require such reporting, and stakeholders are trending to gravitate towards firms measuring and reducing their environmental impact. During the first semester of this project, we noticed that Gannett Fleming lacked data on specific utility usage in their leased office spaces, as not all data is shared, standardized, or robust enough for accurate emissions calculations.
After conducting a landscape analysis where group members interviewed companies facing a similar problem, the team identified best practices for addressing this issue. Such practices included using mixed methods for calculations based on data availability, leveraging organizational connections for efficient communication with landlords, creating custom communication plans, and using concise language with landlords. The team also conducted an sTOWS analysis to understand better how our research could best be applied to Gannett Fleming’s problem. From there, we developed a project plan that included an Invitation to Participate and Data Request to collect the necessary data. Next, the team outlined strategies for emissions calculations, including applying calculations from the GHG Protocol and compiling all calculations in a navigable spreadsheet.
Greenhouse gas calculations were made using a mix of asset-specific data from the Data Request forms and average data from the EPA estimates using equations from Scope 3, Category 8, or Leased Upstream Assets per the Greenhouse Gas Protocol. Emissions were categorized under Scope 3 since the client has no control over the leased offices, and the control approach was used. Final results showed that the emissions calculated for the 8 offices where asset-specific data was used combined with the 31 offices where average data was used totaled 2,390 metric tonnes of CO2e for FY2022.
In order to ensure that this project can be helpful to Gannet Fleming long-term, we came up with three main deliverables including a GHG spreadsheet including all calculations and findings, a GHG roadmap with simplified step-by-step instructions of our methodology, and a Sustainable Leasing Policy information to ensure the client’s emissions reduction goals are communicated and considered in the decision-making process for future lease agreements.
This version contains results that have been edited to ensure client confidentiality. Offices have been anonymized, and numbers used are not representative of actual emissions findings.
ContributorsGutierrez, Lukas (Author) / Carlson, Chloe (Author) / Davitt, Akilah (Author) / Cobb, James (Author)
Created2023-04-24
ContributorsGutierrez, Lukas (Author) / Carlson, Chloe (Author) / Davitt, Akilah (Author) / Cobb, James (Author)
Created2023-04-24
ContributorsGutierrez, Lukas (Author) / Carlson, Chloe (Author) / Davitt, Akilah (Author) / Cobb, James (Author)
Created2023-04-24
ContributorsGutierrez, Lukas (Author) / Carlson, Chloe (Author) / Davitt, Akilah (Author) / Cobb, James (Author)
Created2023-04-24
Description
San Martin is a region in Peru containing some of the most diverse landscapes in the world. It is also home to many farming communities, specifically coffee growers, that rely on the rich soil created by this environment. Unfortunately, along with diversity, comes vulnerability to climate change. Coffee farmers are under stress from changes in climate that have led to unsustainable farming practices, such as slash and burn, that in turn make the region more susceptible to climate change. Conservation International is working within the region to end this cycle. As a student partner, I am aiding with organization and development of a workshop in the region. The goal of the workshop is to implement scenario planning to highlight tradeoffs and opportunities so that governments, businesses and communities can make decisions knowing what the likely positive and negative consequences to the landscape and their livelihoods may be.
In the end, Conservation International is more specifically seeking to aid in the optimization of the use of nature’s benefits in the region. The scenario development approach that will be used for the workshop is the quadrant method, where values of the region are used to create an axis that will show four different futures in four different quadrants depending on the direction. An example is using the axis of rainfall (increase or decrease) and the prevalence of slash-and-burn farming (increase or decrease). The findings of the workshop will be used to construct new policies based off of the Peruvian National Coffee Plan to encourage new farming techniques for the coffee growers. While the conclusion of the overall workshop will not be determined during the span of the MSUS culminating experience, the conclusion from my work will revolve around having a successful workshop, with success being defined by participation and usable results; the work, such as a literature review and interviews and running the work plan up to the workshop, that allows the workshop to occur.
In the end, Conservation International is more specifically seeking to aid in the optimization of the use of nature’s benefits in the region. The scenario development approach that will be used for the workshop is the quadrant method, where values of the region are used to create an axis that will show four different futures in four different quadrants depending on the direction. An example is using the axis of rainfall (increase or decrease) and the prevalence of slash-and-burn farming (increase or decrease). The findings of the workshop will be used to construct new policies based off of the Peruvian National Coffee Plan to encourage new farming techniques for the coffee growers. While the conclusion of the overall workshop will not be determined during the span of the MSUS culminating experience, the conclusion from my work will revolve around having a successful workshop, with success being defined by participation and usable results; the work, such as a literature review and interviews and running the work plan up to the workshop, that allows the workshop to occur.
ContributorsDraper, Shelbie (Author)
Created2019-05-15