IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2020i1p124-d469646.html
   My bibliography  Save this article

Dependability Impact in the Smart Solar Power Systems: An Analysis of Smart Buildings

Author

Listed:
  • Eltton Araujo

    (Informatics Center, Federal University of Pernambuco, Recife 50740-560, Brazil
    Current address: Informatics Center, Cidade Universitária, Federal University of Pernambuco, Recife 50740-560, Brazil.
    These authors contributed equally to this work.)

  • Paulo Pereira

    (Informatics Center, Federal University of Pernambuco, Recife 50740-560, Brazil
    These authors contributed equally to this work.)

  • Jamilson Dantas

    (Computing Department, Federal University of Vale do São Francisco, Salgueiro 56000-000, Brazil
    These authors contributed equally to this work.)

  • Paulo Maciel

    (Informatics Center, Federal University of Pernambuco, Recife 50740-560, Brazil
    These authors contributed equally to this work.)

Abstract

The Internet has been going through significant transformations and changing the world around us. We can also see the Internet to be used in many areas, for innumerable purposes, and, currently, it is even used by objects. This evolution leads to the Internet of Things (IoT) paradigm. This new concept can be defined as a system composed of storage resources, sensor devices, controllers, applications, and network infrastructure, in order to provide specific services to its users. Since IoT comprises heterogeneous components, the creation of these systems, the communication, and maintenance of their components became a complex task. In this paper, we present a dependability model to evaluate an IoT system. Amid different systems, we chose to assess availability in a smart building. The proposed models allow us to calculate estimations of other measures besides steady-state availability, such as reliability. Thus, it was possible to notice that there was no considerable gain of availability in the system when applying grid-tie solar power or off-grid solar power. The grid-tie solar power system is cheaper than the off-grid solar power system, even though it produces more energy. However, in our research, we were able to observe that the off-grid solar power system recovers the applied financial investment in smaller interval of time.

Suggested Citation

  • Eltton Araujo & Paulo Pereira & Jamilson Dantas & Paulo Maciel, 2020. "Dependability Impact in the Smart Solar Power Systems: An Analysis of Smart Buildings," Energies, MDPI, vol. 14(1), pages 1-24, December.
  • Handle: RePEc:gam:jeners:v:14:y:2020:i:1:p:124-:d:469646
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/1/124/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/1/124/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. A. Sayed & M. El-Shimy & M. El-Metwally & M. Elshahed, 2019. "Reliability, Availability and Maintainability Analysis for Grid-Connected Solar Photovoltaic Systems," Energies, MDPI, vol. 12(7), pages 1-18, March.
    2. Zini, Gabriele & Mangeant, Christophe & Merten, Jens, 2011. "Reliability of large-scale grid-connected photovoltaic systems," Renewable Energy, Elsevier, vol. 36(9), pages 2334-2340.
    3. Cai, Baoping & Liu, Yonghong & Ma, Yunpeng & Huang, Lei & Liu, Zengkai, 2015. "A framework for the reliability evaluation of grid-connected photovoltaic systems in the presence of intermittent faults," Energy, Elsevier, vol. 93(P2), pages 1308-1320.
    4. Carrasco, L.M. & Narvarte, L. & Lorenzo, E., 2013. "Operational costs of A 13,000 solar home systems rural electrification programme," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 1-7.
    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. Abdulla, Hind & Sleptchenko, Andrei & Nayfeh, Ammar, 2024. "Photovoltaic systems operation and maintenance: A review and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 195(C).
    2. Pramod R. Sonawane & Sheetal Bhandari & Rajkumar Bhimgonda Patil & Sameer Al-Dahidi, 2023. "Reliability and Criticality Analysis of a Large-Scale Solar Photovoltaic System Using Fault Tree Analysis Approach," Sustainability, MDPI, vol. 15(5), pages 1-24, March.
    3. A. Sayed & M. El-Shimy & M. El-Metwally & M. Elshahed, 2019. "Reliability, Availability and Maintainability Analysis for Grid-Connected Solar Photovoltaic Systems," Energies, MDPI, vol. 12(7), pages 1-18, March.
    4. Sayed, A. & EL-Shimy, M. & El-Metwally, M. & Elshahed, M., 2020. "Impact of subsystems on the overall system availability for the large scale grid-connected photovoltaic systems," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    5. Peters, Lennart & Madlener, Reinhard, 2017. "Economic evaluation of maintenance strategies for ground-mounted solar photovoltaic plants," Applied Energy, Elsevier, vol. 199(C), pages 264-280.
    6. Mariz B. Arias & Sungwoo Bae, 2020. "Design Models for Power Flow Management of a Grid-Connected Solar Photovoltaic System with Energy Storage System," Energies, MDPI, vol. 13(9), pages 1-14, April.
    7. Lahimer, A.A. & Alghoul, M.A. & Yousif, Fadhil & Razykov, T.M. & Amin, N. & Sopian, K., 2013. "Research and development aspects on decentralized electrification options for rural household," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 314-324.
    8. Chiacchio, Ferdinando & D’Urso, Diego & Famoso, Fabio & Brusca, Sebastian & Aizpurua, Jose Ignacio & Catterson, Victoria M., 2018. "On the use of dynamic reliability for an accurate modelling of renewable power plants," Energy, Elsevier, vol. 151(C), pages 605-621.
    9. Valer, L. Roberto & Manito, Alex. R.A. & Ribeiro, Tina B. Selles & Zilles, Roberto & Pinho, João T., 2017. "Issues in PV systems applied to rural electrification in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1033-1043.
    10. Michael Felix Pacevicius & Marilia Ramos & Davide Roverso & Christian Thun Eriksen & Nicola Paltrinieri, 2022. "Managing Heterogeneous Datasets for Dynamic Risk Analysis of Large-Scale Infrastructures," Energies, MDPI, vol. 15(9), pages 1-40, April.
    11. Monadi, Mehdi & Zamani, M. Amin & Koch-Ciobotaru, Cosmin & Candela, Jose Ignacio & Rodriguez, Pedro, 2016. "A communication-assisted protection scheme for direct-current distribution networks," Energy, Elsevier, vol. 109(C), pages 578-591.
    12. Cai, Baoping & Liu, Yonghong & Ma, Yunpeng & Huang, Lei & Liu, Zengkai, 2015. "A framework for the reliability evaluation of grid-connected photovoltaic systems in the presence of intermittent faults," Energy, Elsevier, vol. 93(P2), pages 1308-1320.
    13. Carrasco, L.M. & Narvarte, L. & Martínez-Moreno, F. & Moretón, R., 2014. "In-field assessment of batteries and PV modules in a large photovoltaic rural electrification programme," Energy, Elsevier, vol. 75(C), pages 281-288.
    14. Tang, Yang & Liu, Qingyou & Jing, Jiajia & Yang, Yan & Zou, Zhengwei, 2017. "A framework for identification of maintenance significant items in reliability centered maintenance," Energy, Elsevier, vol. 118(C), pages 1295-1303.
    15. Ferdinando Chiacchio & Fabio Famoso & Diego D’Urso & Sebastian Brusca & Jose Ignacio Aizpurua & Luca Cedola, 2018. "Dynamic Performance Evaluation of Photovoltaic Power Plant by Stochastic Hybrid Fault Tree Automaton Model," Energies, MDPI, vol. 11(2), pages 1-22, January.
    16. Christopher Gradwohl & Vesna Dimitrievska & Federico Pittino & Wolfgang Muehleisen & András Montvay & Franz Langmayr & Thomas Kienberger, 2021. "A Combined Approach for Model-Based PV Power Plant Failure Detection and Diagnostic," Energies, MDPI, vol. 14(5), pages 1-23, February.
    17. Veljanovski, N. & ÄŒepin, M., 2024. "Event tree-based risk and financial assessment for power plants," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    18. Karngala, Arun Kumar & Singh, Chanan, 2023. "Impact of system parameters and geospatial variables on the reliability of residential systems with PV and energy storage," Applied Energy, Elsevier, vol. 344(C).
    19. Koester, L. & Lindig, S. & Louwen, A. & Astigarraga, A. & Manzolini, G. & Moser, D., 2022. "Review of photovoltaic module degradation, field inspection techniques and techno-economic assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    20. Lorafe Lozano & Evelyn B. Taboada, 2021. "The Power of Electricity: How Effective Is It in Promoting Sustainable Development in Rural Off-Grid Islands in the Philippines?," Energies, MDPI, vol. 14(9), pages 1-17, May.

    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:jeners:v:14:y:2020:i:1:p:124-:d:469646. 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.