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Key pillars of successful energy saving projects in small and medium industrial enterprises

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  • Máša, Vítězslav
  • Stehlík, Petr
  • Touš, Michal
  • Vondra, Marek

Abstract

Commonly used approaches in energy management have been found to be insufficient in many small and medium industrial enterprises. The benefits of energy saving solutions can be rather limited. A lack of procedures providing optimal solutions is noticeable from a literature review. Systematic and critical observations of numerous energy saving projects performed by the authors revealed that it is possible to specify four pillars which are crucial for successfully implementing these projects. They should be applied as much as possible and can be specified as follows:1. Technical expertise: Knowledge of industrial facility and possible savings based on experience2. Good operational data: The acquisition of data in a facility3. Modeling, simulation and optimisation: Assessment of various options and the selection of the most beneficial one4. Methodology: A systematic approach including all three remaining pillars

Suggested Citation

  • Máša, Vítězslav & Stehlík, Petr & Touš, Michal & Vondra, Marek, 2018. "Key pillars of successful energy saving projects in small and medium industrial enterprises," Energy, Elsevier, vol. 158(C), pages 293-304.
    • Handle: RePEc:eee:energy:v:158:y:2018:i:c:p:293-304
    DOI: 10.1016/j.energy.2018.06.018
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    1. Zhang, Zijun & Zeng, Yaohui & Kusiak, Andrew, 2012. "Minimizing pump energy in a wastewater processing plant," Energy, Elsevier, vol. 47(1), pages 505-514.
    2. Backlund, Sandra & Thollander, Patrik & Palm, Jenny & Ottosson, Mikael, 2012. "Extending the energy efficiency gap," Energy Policy, Elsevier, vol. 51(C), pages 392-396.
    3. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    4. Osuolale, Funmilayo N. & Zhang, Jie, 2016. "Energy efficiency optimisation for distillation column using artificial neural network models," Energy, Elsevier, vol. 106(C), pages 562-578.
    5. Smith, Leigh & Ball, Peter, 2012. "Steps towards sustainable manufacturing through modelling material, energy and waste flows," International Journal of Production Economics, Elsevier, vol. 140(1), pages 227-238.
    6. Liew, Peng Yen & Theo, Wai Lip & Wan Alwi, Sharifah Rafidah & Lim, Jeng Shiun & Abdul Manan, Zainuddin & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2017. "Total Site Heat Integration planning and design for industrial, urban and renewable systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 964-985.
    7. Sorrell, Steve, 2015. "Reducing energy demand: A review of issues, challenges and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 74-82.
    8. Fang, Wen Shwo & Miller, Stephen M. & Yeh, Chih-Chuan, 2012. "The effect of ESCOs on energy use," Energy Policy, Elsevier, vol. 51(C), pages 558-568.
    9. Thangavelu, Sundar Raj & Myat, Aung & Khambadkone, Ashwin, 2017. "Energy optimization methodology of multi-chiller plant in commercial buildings," Energy, Elsevier, vol. 123(C), pages 64-76.
    10. Lee, Dasheng & Cheng, Chin-Chi, 2016. "Energy savings by energy management systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 760-777.
    11. Touš, Michal & Pavlas, Martin & Putna, Ondřej & Stehlík, Petr & Crha, Lukáš, 2015. "Combined heat and power production planning in a waste-to-energy plant on a short-term basis," Energy, Elsevier, vol. 90(P1), pages 137-147.
    12. Iturriaga, E. & Aldasoro, U. & Campos-Celador, A. & Sala, J.M., 2017. "A general model for the optimization of energy supply systems of buildings," Energy, Elsevier, vol. 138(C), pages 954-966.
    13. Bertoldi, Paolo & Boza-Kiss, Benigna, 2017. "Analysis of barriers and drivers for the development of the ESCO markets in Europe," Energy Policy, Elsevier, vol. 107(C), pages 345-355.
    14. Viesi, Diego & Pozzar, Francesca & Federici, Alessandro & Crema, Luigi & Mahbub, Md Shahriar, 2017. "Energy efficiency and sustainability assessment of about 500 small and medium-sized enterprises in Central Europe region," Energy Policy, Elsevier, vol. 105(C), pages 363-374.
    15. Eligius M. T. Hendrix & Boglárka G.-Tóth, 2010. "Nonlinear Programming algorithms," Springer Optimization and Its Applications, in: Introduction to Nonlinear and Global Optimization, chapter 5, pages 91-136, Springer.
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