Zero Carbon Energy Transition in the Kitchens

Atilla Kılınç*, M. Özgür Kayalica

*Corresponding author for this work

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

Abstract

The United States (US) is ranked as the second country with the highest carbon emission after China. The transformation to improve energy efficiency in the US has a critical global impact on carbon emission reduction. Therefore, any attempt towards transformation will count. Designing a new optimization model for the transformation of the kitchens is no exception and could be seen as innovative and realistic. This study aims to combine carbon emission reduction and energy efficiency by using a carbon tax system within the jurisdiction of local authorities to transform cooktop ovens in kitchens in the South Atlantic region. The South Atlantic census region is selected for the analysis due to its high propane usage. The carbon emissions are reduced by 1.2% with the proposed optimization model using the RECS (Residential Consumption Survey) data set. Based on the benefits of the first application, a new model is developed to look at the future with increasing demand. A regression-based machine learning is used in the R software to create a general model that predicts the efficiency increases. The model is constructed to assume that 100% of the propane cooktop ovens are converted into electric induction cooktop ovens. The proposed model will have two positive results. First, it will encourage the replacement of propane cooking devices with energy-efficient electric induction cooktop ovens to reduce carbon emissions. Second, the energy accessibility will be increased as energy-efficient appliances will be donated to the users by using the budget created through the carbon tax incomes.

Original languageEnglish
Title of host publicationArtificial Intelligence for Knowledge Management, Energy, and Sustainability - 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Revised Selected Papers
EditorsEunika Mercier-Laurent, Gülgün Kayakutlu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages44-62
Number of pages19
ISBN (Print)9783030965914
DOIs
Publication statusPublished - 2022
Event9th International Workshop on Artificial Intelligence for Knowledge Management, Energy, and Sustainability, AI4KMES 2021 held in conjunction with 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 - Virtual, Online
Duration: 19 Aug 202120 Aug 2021

Publication series

NameIFIP Advances in Information and Communication Technology
Volume637 IFIP
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference9th International Workshop on Artificial Intelligence for Knowledge Management, Energy, and Sustainability, AI4KMES 2021 held in conjunction with 30th International Joint Conference on Artificial Intelligence, IJCAI 2021
CityVirtual, Online
Period19/08/2120/08/21

Bibliographical note

Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.

Keywords

  • Carbon tax
  • Energy efficiency
  • Energy transition
  • Regression by R

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