IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i7p3885-d779541.html
   My bibliography  Save this article

Context-Based Decision Support System for Energy Efficiency in Industrial Plants

Author

Listed:
  • Rui Neves-Silva

    (School of Science and Technology and Uninova CTS, NOVA University of Lisbon, Campus de Caparica, 2829-516 Caparica, Portugal)

  • Luis M. Camarinha-Matos

    (School of Science and Technology and Uninova CTS, NOVA University of Lisbon, Campus de Caparica, 2829-516 Caparica, Portugal)

Abstract

Industrial companies must actively pursue more energy efficiency in their processes, with impacts on both costs and the environment, and ultimately business performance. This article explores the influence of context around the manufacturing process on energy consumption. By creating awareness of this influence in a quantified way, it is possible, via a structured decision process, to find opportunities and derive solutions to improve energy performance. This work introduces a method developed in the scope of the LifeSaver project, which is based on the visualization of energy consumption data against benchmark/average values. The overall approach is supported by a software platform which offers a set of functionalities covering the complete approach, from the detection of the consumption pattern to the implementation of improvement solutions. The approach was tested in two industrial business cases. The first one illustrates the approach by showing the influence of the human factor on the energy performance in cement production. The second case deals with finding opportunities on the selection of the operation point, and its impact on peak load management. The proposed approach and developed system demonstrate a positive direct impact on reducing energy consumption and consequent carbon dioxide emissions. Furthermore, the operation of the implemented case studies has an important indirect effect on bringing awareness to the impact of small actions on general energy efficiency.

Suggested Citation

  • Rui Neves-Silva & Luis M. Camarinha-Matos, 2022. "Context-Based Decision Support System for Energy Efficiency in Industrial Plants," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3885-:d:779541
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/7/3885/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/7/3885/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alberto-Jesus Perea-Moreno, 2021. "Renewable Energy and Energy Saving: Worldwide Research Trends," Sustainability, MDPI, vol. 13(23), pages 1-3, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chao Tu & Yingfang Shi, 2023. "Market-Incentive Environmental Regulation and the Quality of Corporate Innovation," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    2. Rui Neves-Silva & Luis M. Camarinha-Matos, 2022. "Simulation-Based Decision Support System for Energy Efficiency in Buildings Retrofitting," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    3. Rüstem Binali & Abhishek Dhananjay Patange & Mustafa Kuntoğlu & Tadeusz Mikolajczyk & Emin Salur, 2022. "Energy Saving by Parametric Optimization and Advanced Lubri-Cooling Techniques in the Machining of Composites and Superalloys: A Systematic Review," Energies, MDPI, vol. 15(21), pages 1-37, November.
    4. Somayeh Dehhaghi & Shahla Choobchian & Barat Ghobadian & Homayon Farhadian & Ants-Hannes Viira & Horatiu Ioan Stefanie & Steven Van Passel & Hossein Azadi, 2022. "Five-Year Development Plans of Renewable Energy Policies in Iran: A Content Analysis," Sustainability, MDPI, vol. 14(3), pages 1-27, January.
    5. Olcay Çolak & Sevilay Ece Gümüş Özuyar & Ömer Faruk Bölükbaşı, 2022. "Asymmetric Effects of the Defense Burden on Environmental Degradation: Evidence from NATO Countries," Sustainability, MDPI, vol. 15(1), pages 1-17, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3885-:d:779541. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.