CEEES - Quantifying emission reductions from cooking fuel transitions in Kenya

Over three billion people globally use smoky, polluting fuels to cook. Having users transition from burning firewood and charcoal to more efficient stoves or modern fuels (e.g., gas or electric) can avoid carbon emissions and protect users' health. To finance this transition, cookstove projects can monetize their customers’ avoided carbon emissions on carbon markets. However, methods for quantifying the emission reductions from cookstove projects have historically not been conservative (e.g., methodologies were likely estimating more carbon was reduced than the best science would suggest). In this project, we are working with EcoSafi, a biomass pellet company in Nairobi, Kenya to (1) quantify the emission reductions from their customers' pellet usage, (2) test and compare a new method for quantifying emissions, and (3) evaluate fuel use over time. We developed an approach to triangulate between year-round kitchen performance tests, continuous stove use monitors (SUMs), universal fuel purchase data, and universal baseline surveys to quantify the emission reductions. We are now implementing this approach and evaluating their customers' fuel use and emission reductions over time. A student would be responsible for evaluating weekly kitchen performance test data, SUM data, fuel purchase data, and new customer baseline survey data. Tasks would include data cleaning/wrangling, calculating fuel consumption, ERs, etc. The student would work with Professor Gill-Wiehl and the team in Nairobi to ensure we are meeting our stratified sampling approach and conducting all methods appropriately. There may be opportunities in the future to work on the ground with the team on implementing these methods over breaks as EcoSafi expands in Kenya, Uganda and Zambia. 

Name of research group, project, or lab
Gill-Wiehl Lab
Why join this research group or lab?

This study will provide critical evidence to inform cookstove carbon offset methodologies and clean fuel transitions. The student will get to work with real customer data from an active clean fuel company in Nairobi that will inform the rules that cookstoves projects have to follow to monetize their carbon emissions. The student will learn how the carbon market works in practice, state of the art methods for studying users’ cooking fuel consumption, and how we might cost effectively leverage robust methods. Further, they will gain an understanding of the challenges to complete clean fuel transitions and gain insight into interventions that may help eliminate polluting fuel use. There may be future opportunities to evaluate direct stove emissions and personal exposures from clean and polluting fuel use. 

Representative publication
Logistics Information:
Project categories
Civil & Environmental Engineering & Earth Sciences
Global Affairs
Keough School of Global Affairs
Student ranks applicable
Junior
Senior
Graduate Student
Student qualifications
  • Skills in managing and manipulating datasets 
  • Ability to use R/python is preferred 
Hours per week
1 credit / 3-6 hours
2 credits / 6-12 hours
Compensation
Research for Credit
Paid - General
Number of openings
1
Techniques learned
  • Understanding of clean energy transitions in sub-Saharan Africa 
  • Ability to interpret the impact of access to affordable biomass pellets on polluting fuel use 
  • Understanding of observational research design, sampling techniques, and statistics in practice. 
  • Experience analyzing different data types: fuel consumption, stove use monitors, fuel purchase records, survey data, etc. 
Project start
Fall 2026 Semester
This project will use an Expectations and Structure agreement.
Expectations and Structure

About the work

My research focuses on clean energy transitions in low- and middle-income countries. Most of my work evaluates how different interventions or new technologies affect people’s energy use, fuel consumption, and personal exposure to air pollution. Much of the day-to-day work is data wrangling and analysis of household survey data, fuel consumption records or measurements, and/or personal exposure measurements. It's detailed work, and it matters because the conclusions can inform policy and programs that affect real communities.

What I expect from you

Prior experience with data wrangling, coding in R/Stata, and working on large data sets would be helpful. I'm happy to teach methods, tools, and domain knowledge. What I can't teach is the disposition, so those are the things I'll count on:

  • Genuine interest. I hope you will care about the questions, and learn to ask your own! You’ll enjoy the work more too. 
  • Dedicated time. Set aside dedicated hours each week 
  • Commitment to quality. Data work rewards patience and precision. Double-check your inputs, document your steps, and don't rush past things that look off.
  • Transparency. When something breaks, a result looks strange, or you're stuck — tell me early. 

How we'll work together

  • Communication/Meetings: Check in weekly (30 min meeting) and slack/email in between those 
  • Tools & reproducibility: We'll keep the data, code and analysis organized and reproducible so anyone can follow the steps and rerun the work. I'll get you set up.
  • Data handling: Some data is sensitive. I'll walk you through how we store, share, and protect it 

What you can expect from me

My job will be to help you learn research methods, the topic area, and how you might ask questions and apply methods on your own. 

Contact Information:
Mentor
agillwie@nd.edu
Principal Investigator
Name of project director or principal investigator
Annelise Gill-Wiehl
Email address of project director or principal investigator
agillwie@nd.edu
1 sp. | 4 appl.
Hours per week
1 credit / 3-6 hours (+1)
1 credit / 3-6 hours2 credits / 6-12 hours
Project categories
Civil & Environmental Engineering & Earth Sciences (+2)
Civil & Environmental Engineering & Earth SciencesGlobal AffairsKeough School of Global Affairs