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Carbon Market Multi-agent Simulation Model

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Progress in Artificial Intelligence (EPIA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12981))

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Abstract

Carbon Markets are a market-based tool to help the fight against climate change by reducing greenhouse gases (GHG) emissions. Corporations have to buy allowances covering the emissions they produce, being required to pay heavy penalties otherwise. It is based on the ‘cap and trade’ principle, meaning that there is a cap value - the maximum number of allowances being sold - providing scarcity to the market. This paper proposes a formalization of an agent-based model that replicates the context of applying a carbon auction market and other regulatory mechanisms and presents the results of various experiments of different policies to gather some intuitions regarding the functioning of carbon markets.

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Author information

Authors and Affiliations

  1. LIACC/DEI, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    João Bernardo Narciso de Sousa, Zafeiris Kokkinogenis & Rosaldo J. F. Rossetti

Authors
  1. João Bernardo Narciso de Sousa
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  2. Zafeiris Kokkinogenis
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  3. Rosaldo J. F. Rossetti
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Corresponding author

Correspondence to João Bernardo Narciso de Sousa .

Editor information

Editors and Affiliations

  1. ISEP/GECAD, Polytechnic Institute of Porto, Porto, Portugal

    Goreti Marreiros

  2. IST/INESC-ID, University of Lisbon, Porto Salvo, Portugal

    Francisco S. Melo

  3. DETI/IEETA, University of Aveiro, Aveiro, Portugal

    Nuno Lau

  4. FEUP/LIACC, University of Porto, Porto, Portugal

    Henrique Lopes Cardoso

  5. FEUP/LIACC, University of Porto, Porto, Portugal

    Luís Paulo Reis

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Narciso de Sousa, J.B., Kokkinogenis, Z., Rossetti, R.J.F. (2021). Carbon Market Multi-agent Simulation Model. In: Marreiros, G., Melo, F.S., Lau, N., Lopes Cardoso, H., Reis, L.P. (eds) Progress in Artificial Intelligence. EPIA 2021. Lecture Notes in Computer Science(), vol 12981. Springer, Cham. https://doi.org/10.1007/978-3-030-86230-5_52

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  • DOI: https://doi.org/10.1007/978-3-030-86230-5_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86229-9

  • Online ISBN: 978-3-030-86230-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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