IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p2352-d503594.html
   My bibliography  Save this article

Housing Buildings’ Characterization at Corvo Village (Azores) Historical Center: Towards a Sustainable Rehabilitation Process

Author

Listed:
  • Ana I.P. Salvador

    (Department of Civil Engineering, University of Coimbra, 3030-788 Coimbra, Portugal)

  • Catarina P. Mouraz

    (Department of Civil Engineering, University of Coimbra, 3030-788 Coimbra, Portugal)

  • Lídia Catarino

    (Geosciences Center, Earth Sciences Department, University of Coimbra, 3030-790 Coimbra, Portugal)

  • Victor Mestre

    (Department of Architecture, University of Coimbra, 3000-143 Coimbra, Portugal)

  • José Mendes Silva

    (ADAI, Department of Civil Engineering, University of Coimbra, 3030-788 Coimbra, Portugal)

Abstract

Corvo is the smallest island of the Portuguese archipelago of the Azores and an unexplored territory, with one single village. Scarce studies have been conducted regarding its built heritage, and deep knowledge of the constructions is necessary for conservation actions to be carried out. This article presents the architectonic and constructive characterization of housing building features that compose Corvo village’s historical center, focusing on its characteristics, dissonances, and conservation state. A case study regarding one housing building is presented. This research intends to contribute to a deeper knowledge of these buildings’ identity, constituting the first step towards future rehabilitation processes that can improve the inhabitants’ quality of life and simultaneously value the territory’s singularity.

Suggested Citation

  • Ana I.P. Salvador & Catarina P. Mouraz & Lídia Catarino & Victor Mestre & José Mendes Silva, 2021. "Housing Buildings’ Characterization at Corvo Village (Azores) Historical Center: Towards a Sustainable Rehabilitation Process," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2352-:d:503594
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/2352/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/4/2352/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. H. Calado & P. Borges & M. Phillips & K. Ng & F. Alves, 2011. "The Azores archipelago, Portugal: improved understanding of small island coastal hazards and mitigation measures," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 427-444, July.
    2. Neves, Diana & Silva, Carlos A., 2014. "Modeling the impact of integrating solar thermal systems and heat pumps for domestic hot water in electric systems – The case study of Corvo Island," Renewable Energy, Elsevier, vol. 72(C), pages 113-124.
    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. Guzzi, Francesco & Neves, Diana & Silva, Carlos A., 2017. "Integration of smart grid mechanisms on microgrids energy modelling," Energy, Elsevier, vol. 129(C), pages 321-330.
    2. Neves, Diana & Silva, Carlos A., 2015. "Optimal electricity dispatch on isolated mini-grids using a demand response strategy for thermal storage backup with genetic algorithms," Energy, Elsevier, vol. 82(C), pages 436-445.
    3. Ricardo A. Marques Lameirinhas & João Paulo N. Torres & João P. de Melo Cunha, 2022. "A Photovoltaic Technology Review: History, Fundamentals and Applications," Energies, MDPI, vol. 15(5), pages 1-44, March.
    4. Zempila, Melina-Maria & Giannaros, Theodore M. & Bais, Alkiviadis & Melas, Dimitris & Kazantzidis, Andreas, 2016. "Evaluation of WRF shortwave radiation parameterizations in predicting Global Horizontal Irradiance in Greece," Renewable Energy, Elsevier, vol. 86(C), pages 831-840.
    5. Graça Gomes, J. & Xu, H.J. & Yang, Q. & Zhao, C.Y., 2021. "An optimization study on a typical renewable microgrid energy system with energy storage," Energy, Elsevier, vol. 234(C).
    6. Ante Ivčević & Isabel Estrela Rego & Rui Gaspar & Vania Statzu, 2021. "Telluric and Climate-Related Risk Awareness, and Risk Mitigation Strategies in the Azores Archipelago: First Steps for Building Societal Resilience," Sustainability, MDPI, vol. 13(15), pages 1-11, August.
    7. Rehman, Hassam ur & Hirvonen, Janne & Sirén, Kai, 2017. "A long-term performance analysis of three different configurations for community-sized solar heating systems in high latitudes," Renewable Energy, Elsevier, vol. 113(C), pages 479-493.
    8. Magda I. El-Afifi & Magdi M. Saadawi & Abdelfattah A. Eladl, 2022. "Cogeneration Systems Performance Analysis as a Sustainable Clean Energy and Water Source Based on Energy Hubs Using the Archimedes Optimization Algorithm," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
    9. Karol Bot & Inoussa Laouali & António Ruano & Maria da Graça Ruano, 2021. "Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques," Energies, MDPI, vol. 14(18), pages 1-27, September.
    10. Mohanraj, M. & Belyayev, Ye. & Jayaraj, S. & Kaltayev, A., 2018. "Research and developments on solar assisted compression heat pump systems – A comprehensive review (Part-B: Applications)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 83(C), pages 124-155.
    11. Neves, Diana & Pina, André & Silva, Carlos A., 2018. "Assessment of the potential use of demand response in DHW systems on isolated microgrids," Renewable Energy, Elsevier, vol. 115(C), pages 989-998.
    12. Groppi, Daniele & Pfeifer, Antun & Garcia, Davide Astiaso & Krajačić, Goran & Duić, Neven, 2021. "A review on energy storage and demand side management solutions in smart energy islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    13. Neves, Diana & Pina, André & Silva, Carlos A., 2015. "Demand response modeling: A comparison between tools," Applied Energy, Elsevier, vol. 146(C), pages 288-297.
    14. Meireles, I. & Sousa, V. & Bleys, B. & Poncelet, B., 2022. "Domestic hot water consumption pattern: Relation with total water consumption and air temperature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    15. Meschede, Henning, 2020. "Analysis on the demand response potential in hotels with varying probabilistic influencing time-series for the Canary Islands," Renewable Energy, Elsevier, vol. 160(C), pages 1480-1491.
    16. Neves, Diana & Brito, Miguel C. & Silva, Carlos A., 2016. "Impact of solar and wind forecast uncertainties on demand response of isolated microgrids," Renewable Energy, Elsevier, vol. 87(P2), pages 1003-1015.

    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:4:p:2352-:d:503594. 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.