Sustainability Choices when Cooking Pasta

Laura Fiorini, Linda Steg, Marco Aiello

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
176 Downloads (Pure)

Abstract

Everyday activities requiring electrical or thermal power imply sustainability
decisions. Choices for different energy sources, which
equipment to use, and the timing of activities have major implications
for CO2 emissions. Being aware of each of them and accounting
for their impact is nearly impossible. First, it is unclear how to
assess the sustainability footprint of a decision; second, the complexity
of the implications of all such decisions is overwhelming.
To make things more concrete, we consider a simple as well as common
task: cooking a dish of pasta. We measure the sustainability of
the decisions involved in terms of CO2 emissions and we use historical
data of German CO2-emission intensity calculated with both
the average method and the marginal one. We find that starting
from hot or cold tap water can imply up to 35% difference in emissions,
depending on the timing and the chosen equipment. However,
the complexity and size of information involved in such sustainability
choices require the adoption of digitalized and automated
systems, which, in turn, raises questions about user acceptability
and (mis)trust in such technologies.
Original languageEnglish
Title of host publicationProceedings of the Eleventh ACM International Conference on Future Energy Systems
PublisherACM Press Digital Library
Pages161-166
Number of pages6
ISBN (Print)978-1-4503-8009-6
DOIs
Publication statusPublished - 12-Jun-2020
EventThe Eleventh ACM International Conference on Future Energy Systems (ACM e-Energy) - Melbourne, Australia, Melbourne, Australia
Duration: 22-Jun-202026-Jun-2020

Conference

ConferenceThe Eleventh ACM International Conference on Future Energy Systems (ACM e-Energy)
Abbreviated titleACM e-Energy 2020
Country/TerritoryAustralia
CityMelbourne
Period22/06/202026/06/2020

Keywords

  • Carbon emissions
  • Marginal method
  • Sustainability
  • Complexity
  • Automation

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