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Impact of weather data and climate change projections in the refurbishment design of residential buildings in cooling dominated climate

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  • De Masi, Rosa Francesca
  • Gigante, Antonio
  • Ruggiero, Silvia
  • Vanoli, Giuseppe Peter

Abstract

The methodology, the site and the dataset as well as the emissions scenario considered in the weather file definition influence the numerical evaluation of efficiency measures resilience. With a complete statistical and critical approach, the paper analyzes the importance of these aspects by means of a residential case study simulated in Benevento, a city of south Italy.

Suggested Citation

  • De Masi, Rosa Francesca & Gigante, Antonio & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2021. "Impact of weather data and climate change projections in the refurbishment design of residential buildings in cooling dominated climate," Applied Energy, Elsevier, vol. 303(C).
  • Handle: RePEc:eee:appene:v:303:y:2021:i:c:s0306261921009600
    DOI: 10.1016/j.apenergy.2021.117584
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    References listed on IDEAS

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    1. Jentsch, Mark F. & James, Patrick A.B. & Bourikas, Leonidas & Bahaj, AbuBakr S., 2013. "Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates," Renewable Energy, Elsevier, vol. 55(C), pages 514-524.
    2. Ballarini, Ilaria & Corgnati, Stefano Paolo & Corrado, Vincenzo, 2014. "Use of reference buildings to assess the energy saving potentials of the residential building stock: The experience of TABULA project," Energy Policy, Elsevier, vol. 68(C), pages 273-284.
    3. Yassaghi, Hamed & Gurian, Patrick L. & Hoque, Simi, 2020. "Propagating downscaled future weather file uncertainties into building energy use," Applied Energy, Elsevier, vol. 278(C).
    4. Chakraborty, Debaditya & Alam, Arafat & Chaudhuri, Saptarshi & Başağaoğlu, Hakan & Sulbaran, Tulio & Langar, Sandeep, 2021. "Scenario-based prediction of climate change impacts on building cooling energy consumption with explainable artificial intelligence," Applied Energy, Elsevier, vol. 291(C).
    5. Ascione, Fabrizio & De Masi, Rosa Francesca & Santamouris, Mattheos & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2018. "Experimental and numerical evaluations on the energy penalty of reflective roofs during the heating season for Mediterranean climate," Energy, Elsevier, vol. 144(C), pages 178-199.
    6. Muñoz González, C.Mª & León Rodríguez, A.L. & Suárez Medina, R. & Ruiz Jaramillo, J., 2020. "Effects of future climate change on the preservation of artworks, thermal comfort and energy consumption in historic buildings," Applied Energy, Elsevier, vol. 276(C).
    7. Kočí, Jan & Kočí, Václav & Maděra, Jiří & Černý, Robert, 2019. "Effect of applied weather data sets in simulation of building energy demands: Comparison of design years with recent weather data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 22-32.
    8. Troup, Luke & Eckelman, Matthew J. & Fannon, David, 2019. "Simulating future energy consumption in office buildings using an ensemble of morphed climate data," Applied Energy, Elsevier, vol. 255(C).
    9. Streicher, Kai Nino & Berger, Matthias & Panos, Evangelos & Narula, Kapil & Soini, Martin Christoph & Patel, Martin K., 2021. "Optimal building retrofit pathways considering stock dynamics and climate change impacts," Energy Policy, Elsevier, vol. 152(C).
    10. Moazami, Amin & Nik, Vahid M. & Carlucci, Salvatore & Geving, Stig, 2019. "Impacts of future weather data typology on building energy performance – Investigating long-term patterns of climate change and extreme weather conditions," Applied Energy, Elsevier, vol. 238(C), pages 696-720.
    11. Mutschler, Robin & Rüdisüli, Martin & Heer, Philipp & Eggimann, Sven, 2021. "Benchmarking cooling and heating energy demands considering climate change, population growth and cooling device uptake," Applied Energy, Elsevier, vol. 288(C).
    12. Huang, Kuo-Tsang, 2020. "Identifying a suitable hourly solar diffuse fraction model to generate the typical meteorological year for building energy simulation application," Renewable Energy, Elsevier, vol. 157(C), pages 1102-1115.
    13. Khalil, Samy A. & Shaffie, A.M., 2013. "A comparative study of total, direct and diffuse solar irradiance by using different models on horizontal and inclined surfaces for Cairo, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 853-863.
    14. Shen, Pengyuan & Braham, William & Yi, Yunkyu, 2019. "The feasibility and importance of considering climate change impacts in building retrofit analysis," Applied Energy, Elsevier, vol. 233, pages 254-270.
    15. Nik, Vahid M., 2016. "Making energy simulation easier for future climate – Synthesizing typical and extreme weather data sets out of regional climate models (RCMs)," Applied Energy, Elsevier, vol. 177(C), pages 204-226.
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    Cited by:

    1. Mehmood, Sajid & Lizana, Jesus & Núñez-Peiró, Miguel & Maximov, Serguey A. & Friedrich, Daniel, 2022. "Resilient cooling pathway for extremely hot climates in southern Asia," Applied Energy, Elsevier, vol. 325(C).
    2. Hiris, Daniel P. & Pop, Octavian G. & Dobrovicescu, Alexandru & Dudescu, Mircea C. & Balan, Mugur C., 2023. "Modelling of solar assisted district heating system with seasonal storage tank by two mathematical methods and with two climatic data as input," Energy, Elsevier, vol. 284(C).
    3. Rodrigues, Eugénio & Parente, Jean & Fernandes, Marco S., 2024. "Building for tomorrow: Analyzing ideal thermal transmittances in the face of climate change in Brazil," Applied Energy, Elsevier, vol. 355(C).
    4. Javier Orozco-Messana & Vicente Lopez-Mateu & Teresa M. Pellicer, 2022. "City Regeneration through Modular Phase Change Materials (PCM) Envelopes for Climate Neutral Buildings," Sustainability, MDPI, vol. 14(14), pages 1-12, July.
    5. Carlos-Antonio Domínguez-Torres & Helena Domínguez-Torres & Antonio Domínguez-Delgado, 2021. "Optimization of a Combination of Thermal Insulation and Cool Roof for the Refurbishment of Social Housing in Southern Spain," Sustainability, MDPI, vol. 13(19), pages 1-32, September.
    6. De Masi, Rosa Francesca & Gigante, Antonio & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2024. "Experimental and numerical approach for the evaluation of PV-system performance on energy and environmental behavior of nearly zero energy buildings: Case study in Mediterranean climate," Renewable Energy, Elsevier, vol. 227(C).

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