IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i12p6677-d573707.html
   My bibliography  Save this article

Condition-Based Maintenance Strategies to Enhance the Durability of ETICS

Author

Listed:
  • Cláudia Ferreira

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Avenue Rovisco Pais, 1049-001 Lisbon, Portugal)

  • Ana Silva

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Avenue Rovisco Pais, 1049-001 Lisbon, Portugal)

  • Jorge de Brito

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Avenue Rovisco Pais, 1049-001 Lisbon, Portugal
    Department of Civil Engineering, Architecture and Georesources, Instituto Superior Técnico, Universidade de Lisboa, Avenue Rovisco Pais, 1049-001 Lisbon, Portugal)

  • Ilídio S. Dias

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Avenue Rovisco Pais, 1049-001 Lisbon, Portugal)

  • Inês Flores-Colen

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Avenue Rovisco Pais, 1049-001 Lisbon, Portugal
    Department of Civil Engineering, Architecture and Georesources, Instituto Superior Técnico, Universidade de Lisboa, Avenue Rovisco Pais, 1049-001 Lisbon, Portugal)

Abstract

The increase of awareness with sustainability and the desire of reducing the energy consumption in the construction sector haved increased the application of External Thermal Insulation Composite Systems (ETICS) across Europe in the last decades. Nevertheless, the implementation of appropriate maintenance strategies is still neglected. The aim of this study is to analyse the impact of different maintenance strategies. For that purpose, a condition-based maintenance model, based on Petri nets, is used to evaluate three maintenance strategies: MS1—total replacement only; MS2—combination of minor intervention and total replacement; and MS3—combination of cleaning operations, minor intervention, and total replacement. In the end, a multi-criteria analysis is used to discuss the impact of the three maintenance strategies proposed, evaluating the remaining service life, the global costs over time, the ETICS’ degradation condition, and the number of replacements (end of service life) over the time horizon. For this purpose, a sample of 378 ETICS was analysed, based on in situ visual inspections, carried out in Portugal. The results from this study reveal that maintenance plays an important role to increase the durability of ETICS, and therefore their sustainability. Regular maintenance can promote the extension of the ETICS’s service life between 88% and 159% (between 15 to 27 years), improve the global degradation condition of the ETICS, and reduce the impact on users by reducing the number of deeper interventions. Further research is essential to optimise the maintenance strategies (time interval between inspections, stakeholders’ performance criteria, and environmental exposure).

Suggested Citation

  • Cláudia Ferreira & Ana Silva & Jorge de Brito & Ilídio S. Dias & Inês Flores-Colen, 2021. "Condition-Based Maintenance Strategies to Enhance the Durability of ETICS," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6677-:d:573707
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/12/6677/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/12/6677/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mauricio Sánchez-Silva & Georgia-Ann Klutke, 2016. "Reliability and Life-Cycle Analysis of Deteriorating Systems," Springer Series in Reliability Engineering, Springer, number 978-3-319-20946-3, January.
    2. Igal M. Shohet & Monica Paciuk, 2004. "Service life prediction of exterior cladding components under standard conditions," Construction Management and Economics, Taylor & Francis Journals, vol. 22(10), pages 1081-1090, December.
    3. Alqahtani, Ammar Y. & Gupta, Surendra M. & Nakashima, Kenichi, 2019. "Warranty and maintenance analysis of sensor embedded products using internet of things in industry 4.0," International Journal of Production Economics, Elsevier, vol. 208(C), pages 483-499.
    4. repec:ehl:wpaper:12761 is not listed on IDEAS
    5. Yoon, Joung Taek & Youn, Byeng D. & Yoo, Minji & Kim, Yunhan & Kim, Sooho, 2019. "Life-cycle maintenance cost analysis framework considering time-dependent false and missed alarms for fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 184(C), pages 181-192.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lai, Kee-hung & Feng, Yunting & Zhu, Qinghua, 2023. "Digital transformation for green supply chain innovation in manufacturing operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    2. Sanghyo Lee & Yonghan Ahn, 2018. "Analyzing the Long-Term Service Life of MEP Using the Probabilistic Approach in Residential Buildings," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    3. Xiangang Cao & Pengfei Li & Song Ming, 2021. "Remaining Useful Life Prediction-Based Maintenance Decision Model for Stochastic Deterioration Equipment under Data-Driven," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    4. Özden Tozanlı & Elif Kongar & Surendra M. Gupta, 2020. "Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain," Sustainability, MDPI, vol. 12(13), pages 1-33, July.
    5. Lui, Ariel K.H. & Lo, Chris K.Y. & Ngai, Eric W.T. & Yeung, Andy C.L., 2023. "A tough pill to swallow? The lessons learned from mandatory RFID adoption," International Journal of Production Economics, Elsevier, vol. 258(C).
    6. Bode, Gerrit & Thul, Simon & Baranski, Marc & Müller, Dirk, 2020. "Real-world application of machine-learning-based fault detection trained with experimental data," Energy, Elsevier, vol. 198(C).
    7. Santos, Augusto César de Jesus & Cavalcante, Cristiano Alexandre Virgínio & Wu, Shaomin, 2023. "Maintenance policies and models: A bibliometric and literature review of strategies for reuse and remanufacturing," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    8. Li, Jiahui & Qi, Xiaogang & He, Yi & Liu, Lifang, 2024. "SDN candidate and protection path selection for link failure protection in hybrid SDNs," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    9. Zuluaga Mayorga, Santiago & Sánchez-Silva, Mauricio & Ramírez Olivar, Oscar J. & Muñoz Giraldo, Felipe, 2019. "Development of parametric fragility curves for storage tanks: A Natech approach," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 1-10.
    10. Compare, Michele & Antonello, Federico & Pinciroli, Luca & Zio, Enrico, 2022. "A general model for life-cycle cost analysis of Condition-Based Maintenance enabled by PHM capabilities," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    11. Levitin, Gregory & Finkelstein, Maxim & Huang, Hong-Zhong, 2019. "Scheduling of imperfect inspections for reliability critical systems with shock-driven defects and delayed failures," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 89-98.
    12. Lozano, Jorge-Mario & Zuluaga, Santiago & Sánchez-Silva, Mauricio, 2020. "Developing flexible management strategies in infrastructure: The sequential expansion problem for infrastructure analysis (SEPIA)," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    13. Yoon, Joung Taek & Youn, Byeng D. & Yoo, Minji & Kim, Yunhan & Kim, Sooho, 2019. "Life-cycle maintenance cost analysis framework considering time-dependent false and missed alarms for fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 184(C), pages 181-192.
    14. Miller, Sabbie A. & Srubar, Wil V. & Billington, Sarah L. & Lepech, Michael D., 2015. "Integrating durability-based service-life predictions with environmental impact assessments of natural fiber–reinforced composite materials," Resources, Conservation & Recycling, Elsevier, vol. 99(C), pages 72-83.
    15. Zhang, Wei-Heng & Qin, Jianjun & Lu, Da-Gang & Liu, Min & Faber, Michael H., 2023. "Quantification of the value of condition monitoring system with time-varying monitoring performance in the context of risk-based inspection," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    16. Ming Chen & Xin Tan & Jianhua Zhu & Rebecca Kechen Dong, 2025. "Can supply chain digital innovation policy improve the sustainable development performance of manufacturing companies?," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    17. Angie Ruiz & Jose Guevara, 2020. "Sustainable Decision-Making in Road Development: Analysis of Road Preservation Policies," Sustainability, MDPI, vol. 12(3), pages 1-25, January.
    18. Guo, Yi & Sheng, Shuangwen & Phillips, Caleb & Keller, Jonathan & Veers, Paul & Williams, Lindy, 2020. "A methodology for reliability assessment and prognosis of bearing axial cracking in wind turbine gearboxes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    19. Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    20. Peng, Shizhe & Jiang, Wei & Wei, Lai & Wang, Xiao-Lin, 2022. "A new cost-sharing preventive maintenance program under two-dimensional warranty," International Journal of Production Economics, Elsevier, vol. 254(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6677-:d:573707. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.