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Zero Carbon Energy Transition in the Kitchens

  • Conference paper
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Artificial Intelligence for Knowledge Management, Energy, and Sustainability (AI4KMES 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 637))

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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.

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Author information

Authors and Affiliations

  1. Istanbul Technical University, 34469, Istanbul, Turkey

    Atilla Kılınç

  2. Institute of Energy at Istanbul Technical University, 34469, Istanbul, Turkey

    M. Özgür Kayalica

Authors
  1. Atilla Kılınç
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  2. M. Özgür Kayalica
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Corresponding author

Correspondence to Atilla Kılınç .

Editor information

Editors and Affiliations

  1. University of Reims Champagne-Ardenne, Reims, France

    Eunika Mercier-Laurent

  2. Istanbul Technical University, Istanbul, Turkey

    Gülgün Kayakutlu

Appendix

Appendix

See Table 5.

Table 5. Federal income tax brackets for 2021 (filling deadline: April 15, 2022).
Full size table

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Kılınç, A., Kayalica, M.Ö. (2022). Zero Carbon Energy Transition in the Kitchens. In: Mercier-Laurent, E., Kayakutlu, G. (eds) Artificial Intelligence for Knowledge Management, Energy, and Sustainability. AI4KMES 2021. IFIP Advances in Information and Communication Technology, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-030-96592-1_4

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  • DOI: https://doi.org/10.1007/978-3-030-96592-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96591-4

  • Online ISBN: 978-3-030-96592-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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