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Explorative study on Compressed Air Systems’ energy efficiency in production and use: First steps towards the creation of a benchmarking system for large and energy-intensive industrial firms

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  • Benedetti, Miriam
  • Bonfa', Francesca
  • Bertini, Ilaria
  • Introna, Vito
  • Ubertini, Stefano

Abstract

Compressed Air Systems (CAS) are one of the most common and energy intensive utilities in industry, representing up to 10% of the industrial energy needs. Thus, they can be considered as one of the main target systems while planning energy efficiency actions implementation in industry. Nevertheless, most of the available benchmarks of energy consumption are based on nominal data, thus referring to the quality of the design, while benchmarks based on measurements under actual operating conditions are not yet available.

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  • Benedetti, Miriam & Bonfa', Francesca & Bertini, Ilaria & Introna, Vito & Ubertini, Stefano, 2018. "Explorative study on Compressed Air Systems’ energy efficiency in production and use: First steps towards the creation of a benchmarking system for large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 227(C), pages 436-448.
  • Handle: RePEc:eee:appene:v:227:y:2018:i:c:p:436-448
    DOI: 10.1016/j.apenergy.2017.07.100
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    as
    1. Ahn, Jonghoon & Cho, Soolyeon & Chung, Dae Hun, 2016. "Development of a statistical analysis model to benchmark the energy use intensity of subway stations," Applied Energy, Elsevier, vol. 179(C), pages 488-496.
    2. Longo, Stefano & d’Antoni, Benedetto Mirko & Bongards, Michael & Chaparro, Antonio & Cronrath, Andreas & Fatone, Francesco & Lema, Juan M. & Mauricio-Iglesias, Miguel & Soares, Ana & Hospido, Almudena, 2016. "Monitoring and diagnosis of energy consumption in wastewater treatment plants. A state of the art and proposals for improvement," Applied Energy, Elsevier, vol. 179(C), pages 1251-1268.
    3. Neale, James R. & Kamp, Peter J.J., 2009. "Compressed air system best practice programmes: What needs to change to secure long-term energy savings for New Zealand?," Energy Policy, Elsevier, vol. 37(9), pages 3400-3408, September.
    4. Chung, William & Hui, Y.V. & Lam, Y. Miu, 2006. "Benchmarking the energy efficiency of commercial buildings," Applied Energy, Elsevier, vol. 83(1), pages 1-14, January.
    5. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.
    6. Vittorini, Diego & Cipollone, Roberto, 2016. "Energy saving potential in existing industrial compressors," Energy, Elsevier, vol. 102(C), pages 502-515.
    7. Chung, William, 2011. "Review of building energy-use performance benchmarking methodologies," Applied Energy, Elsevier, vol. 88(5), pages 1470-1479, May.
    8. Yushchenko, Alisa & Patel, Martin Kumar, 2016. "Contributing to a green energy economy? A macroeconomic analysis of an energy efficiency program operated by a Swiss utility," Applied Energy, Elsevier, vol. 179(C), pages 1304-1320.
    9. Benedetti, Miriam & Cesarotti, Vittorio & Introna, Vito & Serranti, Jacopo, 2016. "Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study," Applied Energy, Elsevier, vol. 165(C), pages 60-71.
    10. Wang, Ning & Wen, Zongguo & Liu, Mingqi & Guo, Jie, 2016. "Constructing an energy efficiency benchmarking system for coal production," Applied Energy, Elsevier, vol. 169(C), pages 301-308.
    11. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    12. Zhao, Hai-xiang & Magoulès, Frédéric, 2012. "A review on the prediction of building energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3586-3592.
    13. Facci, Andrea L. & Sánchez, David & Jannelli, Elio & Ubertini, Stefano, 2015. "Trigenerative micro compressed air energy storage: Concept and thermodynamic assessment," Applied Energy, Elsevier, vol. 158(C), pages 243-254.
    14. Mui, K.W. & Wong, L.T. & Law, L.Y., 2007. "An energy benchmarking model for ventilation systems of air-conditioned offices in subtropical climates," Applied Energy, Elsevier, vol. 84(1), pages 89-98, January.
    15. Ke, Jing & Price, Lynn & McNeil, Michael & Khanna, Nina Zheng & Zhou, Nan, 2013. "Analysis and practices of energy benchmarking for industry from the perspective of systems engineering," Energy, Elsevier, vol. 54(C), pages 32-44.
    16. Li, Zhengwei & Han, Yanmin & Xu, Peng, 2014. "Methods for benchmarking building energy consumption against its past or intended performance: An overview," Applied Energy, Elsevier, vol. 124(C), pages 325-334.
    17. Budt, Marcus & Wolf, Daniel & Span, Roland & Yan, Jinyue, 2016. "A review on compressed air energy storage: Basic principles, past milestones and recent developments," Applied Energy, Elsevier, vol. 170(C), pages 250-268.
    18. Abdelaziz, E.A. & Saidur, R. & Mekhilef, S., 2011. "A review on energy saving strategies in industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 150-168, January.
    19. Saidur, R. & Rahim, N.A. & Hasanuzzaman, M., 2010. "A review on compressed-air energy use and energy savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1135-1153, May.
    20. Sahoo, Lalit Kumar & Bandyopadhyay, Santanu & Banerjee, Rangan, 2014. "Benchmarking energy consumption for dump trucks in mines," Applied Energy, Elsevier, vol. 113(C), pages 1382-1396.
    21. Xuchao, Wu & Priyadarsini, Rajagopalan & Siew Eang, Lee, 2010. "Benchmarking energy use and greenhouse gas emissions in Singapore's hotel industry," Energy Policy, Elsevier, vol. 38(8), pages 4520-4527, August.
    22. Arun Shankar, Vishnu Kalaiselvan & Umashankar, Subramaniam & Paramasivam, Shanmugam & Hanigovszki, Norbert, 2016. "A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system," Applied Energy, Elsevier, vol. 181(C), pages 495-513.
    23. Yin, Yonggao & Zheng, Baojun & Yang, Can & Zhang, Xiaosong, 2015. "A proposed compressed air drying method using pressurized liquid desiccant and experimental verification," Applied Energy, Elsevier, vol. 141(C), pages 80-89.
    24. Thollander, Patrik & Karlsson, Magnus & Söderström, Mats & Creutz, Dan, 2005. "Reducing industrial energy costs through energy-efficiency measures in a liberalized European electricity market: case study of a Swedish iron foundry," Applied Energy, Elsevier, vol. 81(2), pages 115-126, June.
    25. Saidur, R. & Mekhilef, S., 2010. "Energy use, energy savings and emission analysis in the Malaysian rubber producing industries," Applied Energy, Elsevier, vol. 87(8), pages 2746-2758, August.
    26. Liao, Hua & Du, Yun-Fei & Huang, Zhimin & Wei, Yi-Ming, 2016. "Measuring energy economic efficiency: A mathematical programming approach," Applied Energy, Elsevier, vol. 179(C), pages 479-487.
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    4. Hernan Hernandez-Herrera & Jorge I. Silva-Ortega & Vicente Leonel Mart nez Diaz & Zaid Garc a Sanchez & Gilberto Gonz lez Garc a & Sandra M. Escorcia & Habid E. Zarate, 2020. "Energy Savings Measures in Compressed Air Systems," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 414-422.
    5. Leszczynski, J.S. & Grybos, D., 2019. "Compensation for the complexity and over-scaling in industrial pneumatic systems by the accumulation and reuse of exhaust air," Applied Energy, Elsevier, vol. 239(C), pages 1130-1141.
    6. Alessandra Cantini & Leonardo Leoni & Filippo De Carlo & Marcello Salvio & Chiara Martini & Fabrizio Martini, 2021. "Technological Energy Efficiency Improvements in Cement Industries," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    7. Cabello Eras, Juan José & Sagastume Gutiérrez, Alexis & Sousa Santos, Vladimir & Cabello Ulloa, Mario Javier, 2020. "Energy management of compressed air systems. Assessing the production and use of compressed air in industry," Energy, Elsevier, vol. 213(C).
    8. Czopek, Dorota & Gryboś, Dominik & Leszczyński, Jacek & Wiciak, Jerzy, 2022. "Identification of energy wastes through sound analysis in compressed air systems," Energy, Elsevier, vol. 239(PB).
    9. Jan Markowski & Dominik Gryboś & Jacek Leszczyński & Yohiside Suwa, 2023. "Exhaust Air Recovery System from the Utilisation Stage of Pneumatic System in Double Transmission Double Expansion Approach," Energies, MDPI, vol. 16(23), pages 1-14, November.
    10. Miriam Benedetti & Francesca Bonfà & Vito Introna & Annalisa Santolamazza & Stefano Ubertini, 2019. "Real Time Energy Performance Control for Industrial Compressed Air Systems: Methodology and Applications," Energies, MDPI, vol. 12(20), pages 1-28, October.
    11. Trianni, Andrea & Cagno, Enrico & Accordini, Davide, 2019. "Energy efficiency measures in electric motors systems: A novel classification highlighting specific implications in their adoption," Applied Energy, Elsevier, vol. 252(C), pages 1-1.

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