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A Novel Set of Analysis Tools Integrated with the Energy Gap Method for Energy Accounting Center Diagnosis in Polymer Production

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  • Omar Augusto Estrada-Ramírez

    (Instituto de Capacitación e Investigación del Plástico y del Caucho–ICIPC, Cra 49 #5 Sur 190, Medellín 050021, Colombia)

  • Nicolás Andrés Muñoz-Realpe

    (Instituto de Capacitación e Investigación del Plástico y del Caucho–ICIPC, Cra 49 #5 Sur 190, Medellín 050021, Colombia)

  • Julián Alberto Patiño-Murillo

    (Instituto de Capacitación e Investigación del Plástico y del Caucho–ICIPC, Cra 49 #5 Sur 190, Medellín 050021, Colombia)

  • Farid Chejne

    (Facultad de Minas, Universidad Nacional de Colombia, Av. 80 65-223, Medellín 050041, Colombia)

Abstract

Energy and production efficiency are critical for achieving sustainability and competitiveness in polymer processing plants. A system with high energy efficiency and performance enhances productivity while reducing greenhouse gas emissions. While Monitoring and Targeting (M&T) methodologies are widely used for energy control in Energy Accounting Centers (EACs), they do not provide a diagnostic framework. The Energy Gap Method (EGM), introduced in 2018, addresses this gap by identifying the origin and magnitude of energy inefficiencies through a hierarchical model that defines six levels of specific energy consumption (SEC). Inspired by M&T strategies, the EGM has led to the development of diagnostic tools, including the Performance Characteristic Line for Diagnostics (PCLD), the Activity-Based Target from Diagnostics (ABTD), and the Performance Characteristic Curve for Diagnostics (PCCD). These tools enable manufacturers to determine optimal production batch sizes, establish minimum productivity requirements, identify molds and product references requiring intervention, and support the design of energy-efficient components. By integrating these tools, manufacturers can optimize energy consumption, achieve cost savings, and enhance environmental sustainability. This paper presents the methodology and two case studies demonstrating the analytical capabilities of the developed tools in improving energy efficiency within polymer production processes.

Suggested Citation

  • Omar Augusto Estrada-Ramírez & Nicolás Andrés Muñoz-Realpe & Julián Alberto Patiño-Murillo & Farid Chejne, 2025. "A Novel Set of Analysis Tools Integrated with the Energy Gap Method for Energy Accounting Center Diagnosis in Polymer Production," Resources, MDPI, vol. 14(4), pages 1-28, April.
    • Handle: RePEc:gam:jresou:v:14:y:2025:i:4:p:60-:d:1626730
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    References listed on IDEAS

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    1. Damir Đaković & Miroslav Kljajić & Nikola Milivojević & Đorđije Doder & Aleksandar S. Anđelković, 2023. "Review of Energy-Related Machine Learning Applications in Drying Processes," Energies, MDPI, vol. 17(1), pages 1-38, December.
    2. Cai, Wei & Wang, Lianguo & Li, Li & Xie, Jun & Jia, Shun & Zhang, Xugang & Jiang, Zhigang & Lai, Kee-hung, 2022. "A review on methods of energy performance improvement towards sustainable manufacturing from perspectives of energy monitoring, evaluation, optimization and benchmarking," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    3. Valeria Costantini & Mariagrazia D’Angeli & Martina Mancini & Chiara Martini & Elena Paglialunga, 2024. "An Econometric Analysis of the Energy-Saving Performance of the Italian Plastic Manufacturing Sector," Energies, MDPI, vol. 17(4), pages 1-29, February.
    4. Gokan May & Foivos Psarommatis, 2023. "Maximizing Energy Efficiency in Additive Manufacturing: A Review and Framework for Future Research," Energies, MDPI, vol. 16(10), pages 1-28, May.
    5. Krzysztof Wójcicki & Marta Biegańska & Beata Paliwoda & Justyna Górna, 2022. "Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities—A Review," Energies, MDPI, vol. 15(5), pages 1-24, February.
    6. Teija Keränen & Heidi Enwald, 2023. "Everyday Energy Information Literacy and Attitudes towards Energy-Related Decisions: Gender Differences among Finns," Resources, MDPI, vol. 12(6), pages 1-16, June.
    7. Akvile Lawrence & Patrik Thollander & Mariana Andrei & Magnus Karlsson, 2019. "Specific Energy Consumption/Use (SEC) in Energy Management for Improving Energy Efficiency in Industry: Meaning, Usage and Differences," Energies, MDPI, vol. 12(2), pages 1-22, January.
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