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Energy performance assessment of an intelligent energy management system

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  • Gangolells, Marta
  • Casals, Miquel
  • Forcada, Núria
  • Macarulla, Marcel
  • Giretti, Alberto

Abstract

Although energy management systems are expected to result in decreased energy consumption, it is important not to overlook the energy used until commissioning (including raw materials acquisition, manufacturing and transportation) and during the usage phase (including operation and maintenance). This paper examines the energy performance of an intelligent energy management system for underground metro stations. The results show that the energy management system has high energy performance in terms of energy payback time and energy return factor, due to its low cumulative energy demand and its potential for energy savings. When we assumed that the lifespan of energy management systems may vary between 5 and 10 years, their cumulative energy demand was found to range between 505,316 and 852,493MJpeq. In all cases, the operating energy was found to far outweigh the embodied energy (68–81%). The energy management system was implemented in a pilot underground station and was found to provide an energy saving of 13.2±1.1% of the total energy consumption of the pilot station. The energy payback time of the energy management system for underground stations was found to range between 40 and 55 days. Consequently, the system pays back between 33 and 91 times the energy invested in it. The results of this research provide valuable information for stakeholders in the energy management systems industry, as they contribute to ascertaining the sustainability of products.

Suggested Citation

  • Gangolells, Marta & Casals, Miquel & Forcada, Núria & Macarulla, Marcel & Giretti, Alberto, 2016. "Energy performance assessment of an intelligent energy management system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 662-667.
    • Handle: RePEc:eee:rensus:v:55:y:2016:i:c:p:662-667
    DOI: 10.1016/j.rser.2015.11.006
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    Citations

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    Cited by:

    1. Marta Gangolells & Miquel Casals & Marcel Macarulla & Núria Forcada, 2021. "Exploring the Potential of a Gamified Approach to Reduce Energy Use and Carbon Emissions in the Household Sector," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    2. Nam, KiJeon & Heo, SungKu & Li, Qian & Loy-Benitez, Jorge & Kim, MinJeong & Park, DuckShin & Yoo, ChangKyoo, 2020. "A proactive energy-efficient optimal ventilation system using artificial intelligent techniques under outdoor air quality conditions," Applied Energy, Elsevier, vol. 266(C).
    3. 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).
    4. He, Deqiang & Yang, Yanjie & Chen, Yanjun & Deng, Jianxin & Shan, Sheng & Liu, Jianren & Li, Xianwang, 2020. "An integrated optimization model of metro energy consumption based on regenerative energy and passenger transfer," Applied Energy, Elsevier, vol. 264(C).
    5. Perroni, Marcos G. & Gouvea da Costa, Sergio E. & Pinheiro de Lima, Edson & Vieira da Silva, Wesley & Tortato, Ubiratã, 2018. "Measuring energy performance: A process based approach," Applied Energy, Elsevier, vol. 222(C), pages 540-553.
    6. Marta Gangolells & Miquel Casals & Núria Forcada & Marcel Macarulla, 2020. "Life Cycle Analysis of a Game-Based Solution for Domestic Energy Saving," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
    7. Yu, Yanzhe & You, Shijun & Zhang, Huan & Ye, Tianzhen & Wang, Yaran & Wei, Shen, 2021. "A review on available energy saving strategies for heating, ventilation and air conditioning in underground metro stations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    8. Katrina Benikovna Dobrova & Nadezhda Grigorevna Danilochkina & Natalia Vladimirovna Cherner & Victor Petrovich Dobrov & Peter Petrovich Dobrov & Ekaterina Nikolaevna Sepiashvili, 2018. "Innovational Management of Industrial Enterprises in the Energy Sector," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 447-458.
    9. Xiaohua Song & Yun Long & Zhongfu Tan & Xubei Zhang & Leming Li, 2016. "The Optimization of Distributed Photovoltaic Comprehensive Efficiency Based on the Construction of Regional Integrated Energy Management System in China," Sustainability, MDPI, vol. 8(11), pages 1-19, November.
    10. 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.
    11. Lu, Zhiming & Gao, Yan & Xu, Chuanbo, 2021. "Evaluation of energy management system for regional integrated energy system under interval type-2 hesitant fuzzy environment," Energy, Elsevier, vol. 222(C).
    12. Casals, Miquel & Gangolells, Marta & Forcada, Núria & Macarulla, Marcel & Giretti, Alberto & Vaccarini, Massimo, 2016. "SEAM4US: An intelligent energy management system for underground stations," Applied Energy, Elsevier, vol. 166(C), pages 150-164.

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