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Analysis of the Level of Efficiency of Control Methods in the Context of Energy Intensity

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  • Andrzej Pacana

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland)

  • Karolina Czerwińska

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland)

  • Grzegorz Ostasz

    (Faculty of Management, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland)

Abstract

In enterprises, the management of detection methods usually refers to ensuring the identification of nonconformities. This management is incomplete and incompatible with the concept of sustainability (it ignores electricity consumption and costs). To date, no models have been developed to support the analysis of detection methods in terms of the relationship of efficiency–energy consumption. The purpose of the study was to develop proprietary software to analyse the level of efficiency of detection methods for casting products in the context of their energy intensity. The model supports effective management of the quality control process, optimising the relationship of product quality–energy intensity of the process. The model integrally combines detection methods, so it was possible to identify critical product nonconformities and analyse these methods to determine their effectiveness, time efficiency, cost efficiency, and energy intensity. As a result of the implications of the software, a ranking of the total efficiency of electrical connector detection methods was obtained. The numerical values of the total efficiency index indicated that X-ray testing was the most effective, well ahead of the other methods. The eddy current and ultrasonic tests show similar values for the index analysed. A verification of the software was carried out that confirmed its suitability in foundry enterprises.

Suggested Citation

  • Andrzej Pacana & Karolina Czerwińska & Grzegorz Ostasz, 2023. "Analysis of the Level of Efficiency of Control Methods in the Context of Energy Intensity," Energies, MDPI, vol. 16(8), pages 1-26, April.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3507-:d:1126288
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    References listed on IDEAS

    as
    1. Wang, Zeyu & Liu, Jian & Zhang, Yuanxin & Yuan, Hongping & Zhang, Ruixue & Srinivasan, Ravi S., 2021. "Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    2. Sun, Sizhong & Anwar, Sajid, 2015. "Electricity consumption, industrial production, and entrepreneurship in Singapore," Energy Policy, Elsevier, vol. 77(C), pages 70-78.
    3. Noor Jalo & Ida Johansson & Mariana Andrei & Therese Nehler & Patrik Thollander, 2021. "Barriers to and Drivers of Energy Management in Swedish SMEs," Energies, MDPI, vol. 14(21), pages 1-21, October.
    4. Hu, Zheng & Hu, Zhaoguang, 2013. "Production function with electricity consumption and its applications," Energy Economics, Elsevier, vol. 39(C), pages 313-321.
    5. Saunders, Harry & Roy, Joyashree & Azevedo, Inês M.L. & Chakravarty, Debalina & Dasgubta, Shyamasree & de la Rue du Can, Stephane & Druckman, Angela & Fouquet, Roger & Grubb, Michael & Qiang Lin, Bo &, 2020. "Energy Efficiency: What has it Delivered in the Last 40 Years?," FCN Working Papers 16/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Apr 2021.
    6. Monika Górska & Marta Daroń, 2021. "Importance of Machine Modernization in Energy Efficiency Management of Manufacturing Companies," Energies, MDPI, vol. 14(24), pages 1-19, December.
    7. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    8. Bosu, Issa & Mahmoud, Hatem & Hassan, Hamdy, 2023. "Energy audit and management of an industrial site based on energy efficiency, economic, and environmental analysis," Applied Energy, Elsevier, vol. 333(C).
    9. Jha, Amit Prakash & Mahajan, Aarushi & Singh, Sanjay Kumar & Kumar, Piyush, 2022. "Renewable energy proliferation for sustainable development: Role of cross-border electricity trade," Renewable Energy, Elsevier, vol. 201(P1), pages 1189-1199.
    10. Saunders, Harry D. & Roy, Joyashree & Azevedo, Inês M.L. & Chakravarty, Debalina & Dasgupta, Shyamasree & De La Rue Du Can, Stephane & Druckman, Angela & Fouquet, Roger & Grubb, Michael & Lin, Boqiang, 2021. "Energy efficiency: what has research delivered in the last 40 years?," LSE Research Online Documents on Economics 114344, London School of Economics and Political Science, LSE Library.
    11. Kiril Simeonovski & Tamara Kaftandzieva & Gregory Brock, 2021. "Energy Efficiency Management across EU Countries: A DEA Approach," Energies, MDPI, vol. 14(9), pages 1-19, May.
    12. Andrei, Mariana & Thollander, Patrik & Sannö, Anna, 2022. "Knowledge demands for energy management in manufacturing industry - A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    13. Lisa Craiut & Constantin Bungau & Paul Andrei Negru & Tudor Bungau & Andrei-Flavius Radu, 2022. "Technology Transfer in the Context of Sustainable Development—A Bibliometric Analysis of Publications in the Field," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    14. Dominika Siwiec & Andrzej Pacana, 2021. "Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    15. Radosław Wolniak & Sebastian Saniuk & Sandra Grabowska & Bożena Gajdzik, 2020. "Identification of Energy Efficiency Trends in the Context of the Development of Industry 4.0 Using the Polish Steel Sector as an Example," Energies, MDPI, vol. 13(11), pages 1-16, June.
    16. Yanhong Liu & Xinjian Huang & Weiliang Chen, 2019. "The Dynamic Effect of High-Tech Industries’ R&D Investment on Energy Consumption," Sustainability, MDPI, vol. 11(15), pages 1-23, July.
    17. Nimisha Pandey & Heleen de Coninck & Ambuj D Sagar, 2022. "Beyond technology transfer: Innovation cooperation to advance sustainable development in developing countries," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(2), March.
    18. George E. Halkos & Apostolos S. Tsirivis, 2023. "Electricity Production and Sustainable Development: The Role of Renewable Energy Sources and Specific Socioeconomic Factors," Energies, MDPI, vol. 16(2), pages 1-21, January.
    19. Hyuk Chung, 2021. "Adoption and Development of the Fourth Industrial Revolution Technology: Features and Determinants," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    20. Amasyali, Kadir & El-Gohary, Nora M., 2018. "A review of data-driven building energy consumption prediction studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1192-1205.
    21. Rahman, Mohammad Mafizur & Sultana, Nahid & Velayutham, Eswaran, 2022. "Renewable energy, energy intensity and carbon reduction: Experience of large emerging economies," Renewable Energy, Elsevier, vol. 184(C), pages 252-265.
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    1. Andrzej Pacana & Karolina Czerwińska, 2023. "A Quality Control Improvement Model That Takes into Account the Sustainability Concept and KPIs," Sustainability, MDPI, vol. 15(12), pages 1-21, June.

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