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Quick-E-scan: A methodology for the energy scan of SMEs

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  • Cagno, E.
  • Trucco, P.
  • Trianni, A.
  • Sala, G.

Abstract

This paper introduces the Quick-E-Scan methodology that has been developed to achieve the operational energy efficiency of small & medium enterprises (SMEs), characterized by being scarcely disposed to long energy audits and by a limited budget for energy management programs. On one side, through dividing the firm into functional units – either service (lighting, HVAC, etc.) or production units – the main consuming areas are identified and a criticality index is defined; conversely, an enhancement index highlights the gap of each unit towards the best available techniques (BATs) in energy management programs. Finally, a priority index, created with the junction of the two indexes, points out the most profitable areas in which energy saving measures should be implemented. The methodology, particularly quick and simple, has been successfully tested in 38 SMEs in Northern Italy.

Suggested Citation

  • Cagno, E. & Trucco, P. & Trianni, A. & Sala, G., 2010. "Quick-E-scan: A methodology for the energy scan of SMEs," Energy, Elsevier, vol. 35(5), pages 1916-1926.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:5:p:1916-1926
    DOI: 10.1016/j.energy.2010.01.003
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    References listed on IDEAS

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    1. Enrico Cagno & Augusto Di Giulio & Paolo Trucco, 1999. "A Methodological Framework For The Initial Environmental Review (Ier) In Ems Implementation," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 1(04), pages 505-532.
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    Cited by:

    1. Li, Yufeng & He, Yan & Wang, Yan & Wang, Yulin & Yan, Ping & Lin, Shenlong, 2015. "A modeling method for hybrid energy behaviors in flexible machining systems," Energy, Elsevier, vol. 86(C), pages 164-174.
    2. Schlomann, Barbara & Schleich, Joachim, 2015. "Adoption of low-cost energy efficiency measures in the tertiary sector—An empirical analysis based on energy survey data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1127-1133.
    3. Cagno, Enrico & Trianni, Andrea, 2013. "Exploring drivers for energy efficiency within small- and medium-sized enterprises: First evidences from Italian manufacturing enterprises," Applied Energy, Elsevier, vol. 104(C), pages 276-285.
    4. Cagno, E. & Worrell, E. & Trianni, A. & Pugliese, G., 2013. "A novel approach for barriers to industrial energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 290-308.
    5. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
    6. Effenberger, Frank & Hilbert, Andreas, 2016. "Towards an energy information system architecture description for industrial manufacturers: Decomposition & allocation view," Energy, Elsevier, vol. 112(C), pages 599-605.
    7. Trianni, Andrea & Cagno, Enrico & De Donatis, Alessio, 2014. "A framework to characterize energy efficiency measures," Applied Energy, Elsevier, vol. 118(C), pages 207-220.
    8. Jia, Shun & Yuan, Qinghe & Lv, Jingxiang & Liu, Ying & Ren, Dawei & Zhang, Zhongwei, 2017. "Therblig-embedded value stream mapping method for lean energy machining," Energy, Elsevier, vol. 138(C), pages 1081-1098.
    9. Trianni, Andrea & Cagno, Enrico & Worrell, Ernst & Pugliese, Giacomo, 2013. "Empirical investigation of energy efficiency barriers in Italian manufacturing SMEs," Energy, Elsevier, vol. 49(C), pages 444-458.
    10. Cagno, Enrico & Accordini, Davide & Trianni, Andrea & Katic, Mile & Ferrari, Nicolò & Gambaro, Federico, 2022. "Understanding the impacts of energy efficiency measures on a Company’s operational performance: A new framework," Applied Energy, Elsevier, vol. 328(C).
    11. Thollander, Patrik & Backlund, Sandra & Trianni, Andrea & Cagno, Enrico, 2013. "Beyond barriers – A case study on driving forces for improved energy efficiency in the foundry industries in Finland, France, Germany, Italy, Poland, Spain, and Sweden," Applied Energy, Elsevier, vol. 111(C), pages 636-643.
    12. Fábio de Oliveira Neves & Henrique Ewbank & José Arnaldo Frutuoso Roveda & Andrea Trianni & Fernando Pinhabel Marafão & Sandra Regina Monteiro Masalskiene Roveda, 2022. "Economic and Production-Related Implications for Industrial Energy Efficiency: A Logistic Regression Analysis on Cross-Cutting Technologies," Energies, MDPI, vol. 15(4), pages 1-19, February.
    13. Hechelmann, Ron-Hendrik & Paris, Aaron & Buchenau, Nadja & Ebersold, Felix, 2023. "Decarbonisation strategies for manufacturing: A technical and economic comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    14. Andrea Trianni & Davide Accordini & Enrico Cagno, 2020. "Identification and Categorization of Factors Affecting the Adoption of Energy Efficiency Measures within Compressed Air Systems," Energies, MDPI, vol. 13(19), pages 1-51, October.
    15. Monjurul Hasan, A S M & Trianni, Andrea & Shukla, Nagesh & Katic, Mile, 2022. "A novel characterization based framework to incorporate industrial energy management services," Applied Energy, Elsevier, vol. 313(C).
    16. Fleiter, Tobias & Schleich, Joachim & Ravivanpong, Ployplearn, 2012. "Adoption of energy-efficiency measures in SMEs—An empirical analysis based on energy audit data from Germany," Energy Policy, Elsevier, vol. 51(C), pages 863-875.
    17. Trianni, A. & Cagno, E., 2012. "Dealing with barriers to energy efficiency and SMEs: Some empirical evidences," Energy, Elsevier, vol. 37(1), pages 494-504.

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