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Carbon footprint optimization: game theoretic problems and solutions

Published: 01 June 2012 Publication History

Abstract

We discuss four problems that we have identified under the umbrella of carbon economics problems: carbon credit allocation (CCA), carbon credit buying (CCB), carbon credit selling (CCS), and carbon credit exchange (CCE). Because of the strategic nature of the players involved in these problems, game theory and mechanism design provides a natural way of formulating and solving these problems. We then focus on a particular CCA problem, the carbon emission reduction problem, where the countries or global industries are trying to reduce their carbon footprint at minimum cost. We briefly describe solutions to the above problem.

References

[1]
Arava, R., Bagchi, D., Suresh, P., Subrahmanya, S. V., and Narahari, Y. 2010. Optimal allocation of carbon credits to emitting agents in a carbon economy. Procedings of 6th annual IEEE Conference on Automation Science and Engineering, Toronto, Canada, 275--280.
[2]
Arava, R., Narahari, Y., Bagchi, D. K., Suresh, P., and S. V. Subrahmanya. 2010. Mechanism design problems in carbon economics. Journal of IISc 90, 381--411.
[3]
Bagchi, D., Lavu, U. L., Narahari, Y., Biswas, S., Suresh, P., Subrahmanya, S., and Viswanadham, N. 2012. Mechanism design for carbon emission reduction: A study of global companies with strategic divisions and partners (to appear). In Mechanism Design for Sustainability: Techniques and Cases, D. Z. Luo, Ed. Springer.
[4]
Narahari, Y., Garg, D., Suri, N. R., and Prakash, H. 2009. Game Theoretic Problems in Network Economics and Mechanism Design Solutions. Springer Series in Advanced Information and Knowledge Processing, Springer, London, UK.

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  • (2024)Optimal and secure peer-to-peer carbon emission trading: A game theory informed framework on blockchainComputers & Chemical Engineering10.1016/j.compchemeng.2023.108478180(108478)Online publication date: Jan-2024
  • (2020)Machine Learning Application in Energy Consumption Calculation and Assessment in Food Processing IndustryArtificial Intelligence and Soft Computing10.1007/978-3-030-61534-5_33(369-379)Online publication date: 12-Oct-2020
  • (2016)General optimization model for the energy planning of industries including renewable energy: A case study on oil sandsAIChE Journal10.1002/aic.1539363:2(610-638)Online publication date: 15-Jul-2016

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  1. Carbon footprint optimization: game theoretic problems and solutions

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    cover image ACM SIGecom Exchanges
    ACM SIGecom Exchanges  Volume 11, Issue 1
    June 2012
    39 pages
    EISSN:1551-9031
    DOI:10.1145/2325713
    Issue’s Table of Contents

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 June 2012
    Published in SIGECOM Volume 11, Issue 1

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    Author Tags

    1. auctions
    2. carbon economics
    3. carbon emission
    4. carbon footprint optimization
    5. game theory
    6. mechanism design

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    View all
    • (2024)Optimal and secure peer-to-peer carbon emission trading: A game theory informed framework on blockchainComputers & Chemical Engineering10.1016/j.compchemeng.2023.108478180(108478)Online publication date: Jan-2024
    • (2020)Machine Learning Application in Energy Consumption Calculation and Assessment in Food Processing IndustryArtificial Intelligence and Soft Computing10.1007/978-3-030-61534-5_33(369-379)Online publication date: 12-Oct-2020
    • (2016)General optimization model for the energy planning of industries including renewable energy: A case study on oil sandsAIChE Journal10.1002/aic.1539363:2(610-638)Online publication date: 15-Jul-2016

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