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Environmental impacts related to the commissioning and usage phase of an intelligent energy management system

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

Abstract

This paper presents for the first time the results of a life cycle assessment study for an intelligent energy management system. We considered material acquisition, manufacturing, transportation, assembly, operation and maintenance stages. The results show that the assembly phase had an environmental impact of 897 Eco-indicator 99 points that was mainly due to the monitoring subsystem (87.80%). When the analysis was extended to cover the use phase, the environmental impact ranged from 1963 (useful life of 5years) to 3029 Eco-indicator 99 points (useful life of 10years). The environmental impact of the use stage was found to represent 54–70% of the total, whereas the assembly stage represented 46–30%. The maintenance phase contributed to a very small extent to the total environmental impact (less than 0.5%). In any case, the impact on resources was the largest (about 51%), whereas the human health damage category amounted to approximately 35% and the ecosystem quality damage category represented about 14% of the total impact.

Suggested Citation

  • Gangolells, Marta & Casals, Miquel & Forcada, Núria & Macarulla, Marcel & Giretti, Alberto, 2015. "Environmental impacts related to the commissioning and usage phase of an intelligent energy management system," Applied Energy, Elsevier, vol. 138(C), pages 216-223.
    • Handle: RePEc:eee:appene:v:138:y:2015:i:c:p:216-223
    DOI: 10.1016/j.apenergy.2014.10.070
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    1. 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.
    2. 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).
    3. He, Guoxi & Li, Yansong & Huang, Yuanjie & Sun, Liying & Liao, Kexi, 2019. "A framework of smart pipeline system and its application on multiproduct pipeline leakage handling," Energy, Elsevier, vol. 188(C).
    4. Riley, David & Schaafsma, Marije & Marin-Moreno, Héctor & Minshull, Tim A., 2020. "A social, environmental and economic evaluation protocol for potential gas hydrate exploitation projects," Applied Energy, Elsevier, vol. 263(C).
    5. 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.
    6. A S M Monjurul Hasan & Andrea Trianni, 2020. "A Review of Energy Management Assessment Models for Industrial Energy Efficiency," Energies, MDPI, vol. 13(21), pages 1-21, November.
    7. Trianni, Andrea & Cagno, Enrico & Bertolotti, Matteo & Thollander, Patrik & Andersson, Elias, 2019. "Energy management: A practice-based assessment model," Applied Energy, Elsevier, vol. 235(C), pages 1614-1636.
    8. Fera, M. & Macchiaroli, R. & Iannone, R. & Miranda, S. & Riemma, S., 2016. "Economic evaluation model for the energy Demand Response," Energy, Elsevier, vol. 112(C), pages 457-468.

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