IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i12p2238-d239053.html
   My bibliography  Save this article

Predicting the Impact of Climate Change on Thermal Comfort in A Building Category: The Case of Linear-type Social Housing Stock in Southern Spain

Author

Listed:
  • Rocío Escandón

    (Instituto Universitario de Arquitectura y Ciencias de la Construcción, Escuela Técnica Superior de Arquitectura, Universidad de Sevilla, Av. Reina Mercedes 2, 41012 Seville, Spain)

  • Rafael Suárez

    (Instituto Universitario de Arquitectura y Ciencias de la Construcción, Escuela Técnica Superior de Arquitectura, Universidad de Sevilla, Av. Reina Mercedes 2, 41012 Seville, Spain)

  • Juan José Sendra

    (Instituto Universitario de Arquitectura y Ciencias de la Construcción, Escuela Técnica Superior de Arquitectura, Universidad de Sevilla, Av. Reina Mercedes 2, 41012 Seville, Spain)

  • Fabrizio Ascione

    (Department of Industrial Engineering, Università degli Studi di Napoli Federico II, Piazzale Tecchio 80, 80125 Napoli, Italy)

  • Nicola Bianco

    (Department of Industrial Engineering, Università degli Studi di Napoli Federico II, Piazzale Tecchio 80, 80125 Napoli, Italy)

  • Gerardo Maria Mauro

    (Department of Industrial Engineering, Università degli Studi di Napoli Federico II, Piazzale Tecchio 80, 80125 Napoli, Italy)

Abstract

The Climate Change scenario projected by the IPCC for the year 2050 predicts noticeable increases in temperature. In severe summer climates, such as the Mediterranean area, this would have very negative effects on thermal comfort in the existing housing stock, given the current high percentage of dwellings which are obsolete in energy terms and house a population at serious risk of energy poverty. The main aim of this paper is to generate a predictive model in order to assess the impact of this future climate scenario on thermal comfort conditions in an entire building category. To do so, calibrated models representing linear-type social multi-family buildings, dating from the post-war period and located in southern Spain, will be simulated extensively using transient energy analyses performed by EnergyPlus. In addition, a sensitivity analysis will be performed to identify the most influential parameters on thermal discomfort. The main results predict a generalized deterioration in indoor thermal comfort conditions due to global warming, increasing the average percentage of discomfort hours during the summer by more than 35%. This characterization of the future thermal behaviour of the residential stock in southern Spain could be a trustworthy tool for decision-making in energy retrofitting projects which are so badly needed. To do so, further work is required on some limitations of this model so that different user profiles and typologies can be represented in detail and an economic assessment can be included.

Suggested Citation

  • Rocío Escandón & Rafael Suárez & Juan José Sendra & Fabrizio Ascione & Nicola Bianco & Gerardo Maria Mauro, 2019. "Predicting the Impact of Climate Change on Thermal Comfort in A Building Category: The Case of Linear-type Social Housing Stock in Southern Spain," Energies, MDPI, vol. 12(12), pages 1-21, June.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2238-:d:239053
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/12/2238/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/12/2238/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Melo, A.P. & Cóstola, D. & Lamberts, R. & Hensen, J.L.M., 2014. "Development of surrogate models using artificial neural network for building shell energy labelling," Energy Policy, Elsevier, vol. 69(C), pages 457-466.
    2. Pérez-Andreu, Víctor & Aparicio-Fernández, Carolina & Martínez-Ibernón, Ana & Vivancos, José-Luis, 2018. "Impact of climate change on heating and cooling energy demand in a residential building in a Mediterranean climate," Energy, Elsevier, vol. 165(PA), pages 63-74.
    3. Tian, Wei, 2013. "A review of sensitivity analysis methods in building energy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 411-419.
    4. Djongyang, Noël & Tchinda, René & Njomo, Donatien, 2010. "Thermal comfort: A review paper," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2626-2640, December.
    5. Rafael Suárez & Rocío Escandón & Ramón López-Pérez & Ángel Luis León-Rodríguez & Tillmann Klein & Sacha Silvester, 2018. "Impact of Climate Change: Environmental Assessment of Passive Solutions in a Single-Family Home in Southern Spain," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    6. Escandón, Rocío & Suárez, Rafael & Sendra, Juan José, 2019. "Field assessment of thermal comfort conditions and energy performance of social housing: The case of hot summers in the Mediterranean climate," Energy Policy, Elsevier, vol. 128(C), pages 377-392.
    7. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    8. Helton, J.C. & Johnson, J.D. & Sallaberry, C.J. & Storlie, C.B., 2006. "Survey of sampling-based methods for uncertainty and sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1175-1209.
    9. Yildiz, Yusuf & Korkmaz, Koray & Göksal Özbalta, Türkan & Durmus Arsan, Zeynep, 2012. "An approach for developing sensitive design parameter guidelines to reduce the energy requirements of low-rise apartment buildings," Applied Energy, Elsevier, vol. 93(C), pages 337-347.
    10. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2012. "Impact of climate change on energy use in the built environment in different climate zones – A review," Energy, Elsevier, vol. 42(1), pages 103-112.
    11. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lucía Pereira-Ruchansky & Alexis Pérez-Fargallo, 2020. "Integrated Analysis of Energy Saving and Thermal Comfort of Retrofits in Social Housing under Climate Change Influence in Uruguay," Sustainability, MDPI, vol. 12(11), pages 1-22, June.
    2. Kashif Irshad & Salem Algarni & Mohammad Tauheed Ahmad & Sayed Ameenuddin Irfan & Khairul Habib & Mostafa A.H. Abdelmohimen & Md. Hasan Zahir & Gulam Mohammed Sayeed Ahmed, 2019. "Microclimate Thermal Management Using Thermoelectric Air-Cooling Duct System Operated at Five Incremental Powers and its Effect on Sleep Adaptation of the Occupants," Energies, MDPI, vol. 12(19), pages 1-25, September.
    3. Krzysztof Grygierek & Izabela Sarna, 2020. "Impact of Passive Cooling on Thermal Comfort in a Single-Family Building for Current and Future Climate Conditions," Energies, MDPI, vol. 13(20), pages 1-17, October.
    4. Vicente Flores-Alés & Alexis Pérez-Fargallo & Jesús A. Pulido Arcas & Carlos Rubio-Bellido, 2020. "Effect on the Thermal Properties of Mortar Blocks by Using Recycled Glass and Its Application for Social Dwellings," Energies, MDPI, vol. 13(21), pages 1-16, October.
    5. Sara Brito-Coimbra & Daniel Aelenei & Maria Gloria Gomes & Antonio Moret Rodrigues, 2021. "Building Façade Retrofit with Solar Passive Technologies: A Literature Review," Energies, MDPI, vol. 14(6), pages 1-18, March.
    6. Marta Videras Rodríguez & Antonio Sánchez Cordero & Sergio Gómez Melgar & José Manuel Andújar Márquez, 2020. "Impact of Global Warming in Subtropical Climate Buildings: Future Trends and Mitigation Strategies," Energies, MDPI, vol. 13(23), pages 1-22, November.
    7. Joanna Ferdyn-Grygierek & Krzysztof Grygierek & Anna Gumińska & Piotr Krawiec & Adrianna Oćwieja & Robert Poloczek & Julia Szkarłat & Aleksandra Zawartka & Daria Zobczyńska & Daria Żukowska-Tejsen, 2021. "Passive Cooling Solutions to Improve Thermal Comfort in Polish Dwellings," Energies, MDPI, vol. 14(12), pages 1-15, June.
    8. Hamed Yassaghi & Simi Hoque, 2021. "Impact Assessment in the Process of Propagating Climate Change Uncertainties into Building Energy Use," Energies, MDPI, vol. 14(2), pages 1-27, January.
    9. Francesco Fiorito & Giandomenico Vurro & Francesco Carlucci & Ludovica Maria Campagna & Mariella De Fino & Salvatore Carlucci & Fabio Fatiguso, 2022. "Adaptation of Users to Future Climate Conditions in Naturally Ventilated Historic Buildings: Effects on Indoor Comfort," Energies, MDPI, vol. 15(14), pages 1-21, July.
    10. S. Soutullo & E. Giancola & M. J. Jiménez & J. A. Ferrer & M. N. Sánchez, 2020. "How Climate Trends Impact on the Thermal Performance of a Typical Residential Building in Madrid," Energies, MDPI, vol. 13(1), pages 1-21, January.
    11. Lingjun Hao & Daniel Herrera-Avellanosa & Claudio Del Pero & Alexandra Troi, 2020. "What Are the Implications of Climate Change for Retrofitted Historic Buildings? A Literature Review," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    12. Ahmet Bircan Atmaca & Gülay Zorer Gedik & Andreas Wagner, 2021. "Determination of Optimum Envelope of Religious Buildings in Terms of Thermal Comfort and Energy Consumption: Mosque Cases," Energies, MDPI, vol. 14(20), pages 1-17, October.

    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. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    2. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2016. "Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality," Applied Energy, Elsevier, vol. 174(C), pages 37-68.
    3. Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "Impact of adjustment strategies on building design process in different climates oriented by multiple performance," Applied Energy, Elsevier, vol. 266(C).
    4. Aurora Greta Ruggeri & Laura Gabrielli & Massimiliano Scarpa, 2020. "Energy Retrofit in European Building Portfolios: A Review of Five Key Aspects," Sustainability, MDPI, vol. 12(18), pages 1-38, September.
    5. Tian, Wei & Heo, Yeonsook & de Wilde, Pieter & Li, Zhanyong & Yan, Da & Park, Cheol Soo & Feng, Xiaohang & Augenbroe, Godfried, 2018. "A review of uncertainty analysis in building energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 285-301.
    6. Marta Videras Rodríguez & Antonio Sánchez Cordero & Sergio Gómez Melgar & José Manuel Andújar Márquez, 2020. "Impact of Global Warming in Subtropical Climate Buildings: Future Trends and Mitigation Strategies," Energies, MDPI, vol. 13(23), pages 1-22, November.
    7. Saurbayeva, Assemgul & Memon, Shazim Ali & Kim, Jong, 2023. "Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones," Energy, Elsevier, vol. 278(PB).
    8. Yuan, Jun & Nian, Victor & Su, Bin & Meng, Qun, 2017. "A simultaneous calibration and parameter ranking method for building energy models," Applied Energy, Elsevier, vol. 206(C), pages 657-666.
    9. Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "A three-stage optimization methodology for envelope design of passive house considering energy demand, thermal comfort and cost," Energy, Elsevier, vol. 192(C).
    10. Mastrucci, Alessio & Marvuglia, Antonino & Leopold, Ulrich & Benetto, Enrico, 2017. "Life Cycle Assessment of building stocks from urban to transnational scales: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 316-332.
    11. 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.
    12. Østergård, Torben & Jensen, Rasmus Lund & Maagaard, Steffen Enersen, 2018. "A comparison of six metamodeling techniques applied to building performance simulations," Applied Energy, Elsevier, vol. 211(C), pages 89-103.
    13. Nayara R. M. Sakiyama & Joyce C. Carlo & Leonardo Mazzaferro & Harald Garrecht, 2021. "Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    14. Alaia Sola & Cristina Corchero & Jaume Salom & Manel Sanmarti, 2018. "Simulation Tools to Build Urban-Scale Energy Models: A Review," Energies, MDPI, vol. 11(12), pages 1-24, November.
    15. Younhee Choi & Doosam Song & Sungmin Yoon & Junemo Koo, 2021. "Comparison of Factorial and Latin Hypercube Sampling Designs for Meta-Models of Building Heating and Cooling Loads," Energies, MDPI, vol. 14(2), pages 1-23, January.
    16. Chen, Xi & Yang, Hongxing & Wang, Yuanhao, 2017. "Parametric study of passive design strategies for high-rise residential buildings in hot and humid climates: miscellaneous impact factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 442-460.
    17. Eleftheria Touloupaki & Theodoros Theodosiou, 2017. "Performance Simulation Integrated in Parametric 3D Modeling as a Method for Early Stage Design Optimization—A Review," Energies, MDPI, vol. 10(5), pages 1-18, May.
    18. Escandón, Rocío & Suárez, Rafael & Sendra, Juan José, 2019. "Field assessment of thermal comfort conditions and energy performance of social housing: The case of hot summers in the Mediterranean climate," Energy Policy, Elsevier, vol. 128(C), pages 377-392.
    19. Urbano, Eva M. & Martinez-Viol, Victor & Kampouropoulos, Konstantinos & Romeral, Luis, 2022. "Risk assessment of energy investment in the industrial framework – Uncertainty and Sensitivity Analysis for energy design and operation optimisation," Energy, Elsevier, vol. 239(PA).
    20. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2017. "Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach," Energy, Elsevier, vol. 118(C), pages 999-1017.

    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:12:y:2019:i:12:p:2238-:d:239053. 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.