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Decision Support System for Energy Savings and Emissions Trading in Industrial Scenarios

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Intelligent Decision Technology Support in Practice

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 42))

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Abstract

This chapter proposes a decision support approach for energy savings and emissions trading based on the requirements collected through a set of industrial users. These requirements served as guideline for identification of needs that should be addressed with respect to the decision support approach, constituting a fundamental step for future platform development. The decision support approach proposes two different perspectives: support for immediate reaction (based on the paradigm of intelligent decision support implemented through the use of Case-based Reasoning together with probabilistic analysis); and support for process reconfiguration and Emission Trading System (ETS) (implemented through the use of multi-criteria decision analysis using MACBETH). The chapter illustrates a categorization approach using main criteria involved in the process and associated algorithms. Moreover the approaches proposed were successfully tested in industrial environment and the results obtained are here presented.

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Notes

  1. 1.

    Energy Cost Centers (ECC) are business segments (i.e. departments, areas, units of equipment or single equipment) where activities or production volume are quantifiable and where a significant amount of energy is used.

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Acknowledgments

Authors express their acknowledgement to the consortium of LifeSaver project, Context sensitive monitoring of energy consumption to support energy savings and emissions trading in industry [http://www.lifesaver-fp7.eu] funded under the 7th Research FP of the European Union (contract FP7-ICT-7-287652).

Author information

Authors and Affiliations

  1. UNINOVA-FCT Campus, 2829-516, Caparica, Portugal

    Maria Marques

  2. FCT-UNL-FCT Campus, 2829-516, Caparica, Portugal

    Rui Neves-Silva

Authors
  1. Maria Marques
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  2. Rui Neves-Silva
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Corresponding author

Correspondence to Maria Marques .

Editor information

Editors and Affiliations

  1. School of Engineering, KES Centre, University of South Australia , Adelaide, South Australia, Australia

    Jeffrey W. Tweedale

  2. FCT Campus, UNINOVA, Caparica, Portugal

    Rui Neves-Silva

  3. School of Engineering, University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  4. Sellinger School of Business and Management, Loyola University Maryland, Baltimore, Maryland, USA

    Gloria Phillips-Wren

  5. Graduate School of IPS, Waseda University, Fukuoka, Japan

    Junzo Watada

  6. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

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Marques, M., Neves-Silva, R. (2016). Decision Support System for Energy Savings and Emissions Trading in Industrial Scenarios. In: Tweedale, J., Neves-Silva, R., Jain, L., Phillips-Wren, G., Watada, J., Howlett, R. (eds) Intelligent Decision Technology Support in Practice. Smart Innovation, Systems and Technologies, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-21209-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-21209-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21208-1

  • Online ISBN: 978-3-319-21209-8

  • eBook Packages: EngineeringEngineering (R0)

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