IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v384y2025ics0306261925001333.html
   My bibliography  Save this article

Sustainable optimal production scheduling methodology under implicit demand response and carbon policy: A manufacturing industry case study

Author

Listed:
  • Fisco-Compte, Pau
  • Juanpera, Marc
  • Domenech, Bruno
  • Pastor, Rafael
  • Ranaboldo, Matteo
  • Bullich-Massagué, Eduard

Abstract

This paper examines sustainable production scheduling strategies within the framework of implicit Demand Response programs and proposes a methodology for integrating an Emissions Trading scheme as a carbon reduction policy, focusing on an European manufacturing case study industry. The study first evaluates the impact of Time-of-Use pricing and Real-Time-Pricing on optimal scheduling plans for a multiple single-machine production process with shared workers and resources with sequence-dependent set-ups, highlighting how these electricity tariffs influence electricity costs, emissions, and overall consumption. By introducing an energy vector into the optimisation cost, the effects of price-based Demand Response programs on production scheduling are evaluated, ensuring cost-effectiveness while addressing the carbon footprint. Second, for the most environmentally friendly electricity tariff, a sensitivity analysis under an Emissions Trading policy examines the role of recommended carbon tax values from CE Delft in managing both direct and indirect CO2 emissions of the case study, determining carbon tax values and free carbon credits cap that balance industry and policymakers goals. The findings suggest that integrating an Emissions Trading policy tailored to include indirect emissions could enhance sustainability practices in manufacturing industries, aligning with future regulatory frameworks aimed at reducing carbon footprints. This research contributes to advancing green production scheduling practices by proposing practical applications of carbon policies in industrial operations, emphasising the need for tailored solutions to address complex energy and environmental challenges.

Suggested Citation

  • Fisco-Compte, Pau & Juanpera, Marc & Domenech, Bruno & Pastor, Rafael & Ranaboldo, Matteo & Bullich-Massagué, Eduard, 2025. "Sustainable optimal production scheduling methodology under implicit demand response and carbon policy: A manufacturing industry case study," Applied Energy, Elsevier, vol. 384(C).
  • Handle: RePEc:eee:appene:v:384:y:2025:i:c:s0306261925001333
    DOI: 10.1016/j.apenergy.2025.125403
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925001333
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.125403?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jordehi, A. Rezaee, 2019. "Optimisation of demand response in electric power systems, a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 308-319.
    2. Foumani, Mehdi & Smith-Miles, Kate, 2019. "The impact of various carbon reduction policies on green flowshop scheduling," Applied Energy, Elsevier, vol. 249(C), pages 300-315.
    3. Pedro Leal & Rui Castro & Fernando Lopes, 2023. "Influence of Increasing Renewable Power Penetration on the Long-Term Iberian Electricity Market Prices," Energies, MDPI, vol. 16(3), pages 1-19, January.
    4. Bergaentzlé, Claire & Clastres, Cédric & Khalfallah, Haikel, 2014. "Demand-side management and European environmental and energy goals: An optimal complementary approach," Energy Policy, Elsevier, vol. 67(C), pages 858-869.
    5. World Bank, "undated". "State and Trends of Carbon Pricing 2021," World Bank Publications - Reports 35620, The World Bank Group.
    6. Trevino-Martinez, Samuel & Sawhney, Rapinder & Shylo, Oleg, 2022. "Energy-carbon footprint optimization in sequence-dependent production scheduling," Applied Energy, Elsevier, vol. 315(C).
    7. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    8. Ranaboldo, M. & Aragüés-Peñalba, M. & Arica, E. & Bade, A. & Bullich-Massagué, E. & Burgio, A. & Caccamo, C. & Caprara, A. & Cimmino, D. & Domenech, B. & Donoso, I. & Fragapane, G. & González-Font-de-, 2024. "A comprehensive overview of industrial demand response status in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    9. Claire Bergaentzlé & Cédric Clastres & Haikel Khalfallah, 2014. "Demand-side management and European environmental and energy goals: an optimal complementary approach," Post-Print halshs-00928678, HAL.
    10. Shih-Hsin Chen & Yeong-Cheng Liou & Yi-Hui Chen & Kun-Ching Wang, 2019. "Order Acceptance and Scheduling Problem with Carbon Emission Reduction and Electricity Tariffs on a Single Machine," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    11. Olkkonen, Ville & Rinne, Samuli & Hast, Aira & Syri, Sanna, 2017. "Benefits of DSM measures in the future Finnish energy system," Energy, Elsevier, vol. 137(C), pages 729-738.
    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. McPherson, Madeleine & Stoll, Brady, 2020. "Demand response for variable renewable energy integration: A proposed approach and its impacts," Energy, Elsevier, vol. 197(C).
    2. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "Residential demand response scheme based on adaptive consumption level pricing," Energy, Elsevier, vol. 113(C), pages 301-308.
    3. Märkle-Huß, Joscha & Feuerriegel, Stefan & Neumann, Dirk, 2018. "Large-scale demand response and its implications for spot prices, load and policies: Insights from the German-Austrian electricity market," Applied Energy, Elsevier, vol. 210(C), pages 1290-1298.
    4. Cédric Clastres & Haikel Khalfallah, 2020. "Retailers' strategies facing demand response and markets interactions," Working Papers hal-03167543, HAL.
    5. Gils, Hans Christian, 2016. "Economic potential for future demand response in Germany – Modeling approach and case study," Applied Energy, Elsevier, vol. 162(C), pages 401-415.
    6. Seatle, Madeleine & McPherson, Madeleine, 2024. "Residential demand response program modelling to compliment grid composition and changes in energy efficiency," Energy, Elsevier, vol. 290(C).
    7. Clastres, Cédric & Khalfallah, Haikel, 2021. "Dynamic pricing efficiency with strategic retailers and consumers: An analytical analysis of short-term market interactions," Energy Economics, Elsevier, vol. 98(C).
    8. Jalali, Mohammad Majid & Kazemi, Ahad, 2015. "Demand side management in a smart grid with multiple electricity suppliers," Energy, Elsevier, vol. 81(C), pages 766-776.
    9. Cédric Clastres & Haikel Khalfallah, 2021. "Dynamic pricing efficiency with strategic retailers and consumers: An analytical analysis of short-term market interactions," Post-Print hal-03193212, HAL.
    10. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "A review of residential demand response of smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 166-178.
    11. Voulis, Nina & van Etten, Max J.J. & Chappin, Émile J.L. & Warnier, Martijn & Brazier, Frances M.T., 2019. "Rethinking European energy taxation to incentivise consumer demand response participation," Energy Policy, Elsevier, vol. 124(C), pages 156-168.
    12. Daiva Stanelyte & Neringa Radziukyniene & Virginijus Radziukynas, 2022. "Overview of Demand-Response Services: A Review," Energies, MDPI, vol. 15(5), pages 1-31, February.
    13. Catanzaro, Daniele & Pesenti, Raffaele & Ronco, Roberto, 2023. "Job scheduling under Time-of-Use energy tariffs for sustainable manufacturing: a survey," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1091-1109.
    14. Castaneda, Monica & Jimenez, Maritza & Zapata, Sebastian & Franco, Carlos J. & Dyner, Isaac, 2017. "Myths and facts of the utility death spiral," Energy Policy, Elsevier, vol. 110(C), pages 105-116.
    15. Bergaentzle, Claire & Gunkel, Philipp Andreas, 2022. "Cross-sector flexibility, storage investment and the integration of renewables: Capturing the impacts of grid tariffs," Energy Policy, Elsevier, vol. 164(C).
    16. Misconel, Steffi & Zöphel, Christoph & Möst, Dominik, 2021. "Assessing the value of demand response in a decarbonized energy system – A large-scale model application," Applied Energy, Elsevier, vol. 299(C).
    17. Arteconi, Alessia & Patteeuw, Dieter & Bruninx, Kenneth & Delarue, Erik & D’haeseleer, William & Helsen, Lieve, 2016. "Active demand response with electric heating systems: Impact of market penetration," Applied Energy, Elsevier, vol. 177(C), pages 636-648.
    18. Roldán Fernández, Juan Manuel & Payán, Manuel Burgos & Santos, Jesús Manuel Riquelme & García, Ángel Luis Trigo, 2017. "The voluntary price for the small consumer: Real-time pricing in Spain," Energy Policy, Elsevier, vol. 102(C), pages 41-51.
    19. Ayman Esmat & Julio Usaola & María Ángeles Moreno, 2018. "Distribution-Level Flexibility Market for Congestion Management," Energies, MDPI, vol. 11(5), pages 1-24, April.
    20. Ayman Esmat & Julio Usaola & Mª Ángeles Moreno, 2018. "A Decentralized Local Flexibility Market Considering the Uncertainty of Demand," Energies, MDPI, vol. 11(8), pages 1-32, August.

    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:eee:appene:v:384:y:2025:i:c:s0306261925001333. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.