Thibaut Platet
Three awareness posters from the ENSIM 2023 carbon footprint: travel, electricity, food and waste, each with a doughnut chart.

At a glance

Dates
–
Context
project lead, team of 3 · ENSIM
Tools
  • GHG Protocol
  • Excel
  • Online surveys (Framasoft)
  • ADEME data

Overview

Carbon footprint assessment of ENSIM’s emissions, following ADEME criteria.

Problem

Measure the school’s greenhouse gas emissions over 2023, to know where to act and to raise awareness among students and staff.

Role

Project lead, team of 3.

Decisions

The GHG Protocol method in three scopes, recommended by ADEME; a survey of students and staff, completed by interviews with the school’s departments; an uncertainty estimated for every item.

Result

A full report: emission items ranked, a comparison with other schools and ways to reduce them, together with awareness posters.

Team organisation

A compulsory third-year project, carried out by a team of three.

Scope, task list and schedule were set at the start; the work was then shared out, each of us able to help on the others’ tasks. Every document stayed available to the whole team, and the interviews were conducted by the three of us.

Specification

ItemContent
RequestThe school’s 2023 carbon footprint, ways to reduce it and an awareness campaign.
DeliverablesA full report to the current standards, intended for ADEME; awareness posters.
ToolsCarbon footprint spreadsheet, ADEME emission factors, the school’s internal data and suppliers’ data.
TeamThree students, one three-hour session a week plus personal work.

Approach

  1. Choose the method. Two methods compared; the GHG Protocol was chosen: it splits emissions into three scopes (direct emissions, purchased electricity, other indirect emissions), and it is the method recommended by ADEME.
  2. Set the scope. Building energy, travel (daily commutes, internships, work-study, semesters abroad, tutors’ visits), catering, waste, purchases and deliveries, events. What is left out is stated.
  3. Collect. An online survey (109 answers for 381 students), data from the school’s departments and interviews with the people in charge.
  4. Convert. For each item, the activity data multiplied by its emission factor, in spreadsheets.
  5. Estimate the uncertainty of each item, from 5% to 70% depending on data quality; a 95% confidence level for what is extrapolated from the survey.
  6. Summarise. Results by scope and by sector, comparison with other schools, ways forward.
Online form: a question about attending the school in 2022-2023, then the daily means of transport with checkboxes.
Excerpt from the questionnaire sent to students (in French).

Results

of CO2 emitted in 2023, with an estimated uncertainty of 34%
775.7 t
per student (381 students)
2.03 t
emission items quantified, each with its uncertainty
≈ 20
survey answers, for 381 students
109

Half of the emissions come from food and waste, nearly a third from travel. Heating and electricity for the building account for only 9%.

Emissions by sector, in tonnes of CO2
ScopeWhat it coverst CO2Share
1 — Direct emissionsGas heating, the school’s vehicle436%
2 — Purchased electricityBuilding electricity273%
3 — Other indirect emissionsTravel, food, waste, purchases and deliveries, events70691%

Scopes follow the GHG Protocol convention; the report grouped travel with energy.

The ten largest itemst CO2
Waste from the university restaurant and the school204
Students’ and staff’s travel to the school166
Meals at the university restaurant135
School events50
Gas heating43
Deliveries to the university restaurant41
Work-study students’ travel to their company28
Building electricity27
Semesters abroad23
Supplies and paper20

Ways forward proposed

  • Buildings: insulation, energy monitoring and control.
  • Travel: public transport, cycling, car-sharing; train rather than plane when possible.
  • Waste and food: waste sorting, compost, local produce.
  • Awareness: campaigns and posters.