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Resilience of a Building to Future Climate Conditions in Three European Cities

Author

Listed:
  • Virgilio Ciancio

    (Department of Astronautical, Electrical and Energy Engineering—Applied Physics Area, University of Rome “Sapienza”, Via Eudossiana, 18–00184 Rome, Italy)

  • Serena Falasca

    (Department of Pure and Applied Sciences, University of Urbino “Carlo Bo”, 61029 Urbino, Italy
    Center of Excellence in Telesensing of Environment and Model Prediction of Severe Events (CETEMPS), University of L’Aquila, 67100 Coppito-L’Aquila, Italy)

  • Iacopo Golasi

    (Department of Astronautical, Electrical and Energy Engineering—Applied Physics Area, University of Rome “Sapienza”, Via Eudossiana, 18–00184 Rome, Italy)

  • Pieter de Wilde

    (School of Art, Design and Architecture, University of Plymouth, PL4 8AA Plymouth, UK)

  • Massimo Coppi

    (Department of Astronautical, Electrical and Energy Engineering—Applied Physics Area, University of Rome “Sapienza”, Via Eudossiana, 18–00184 Rome, Italy)

  • Livio de Santoli

    (Department of Astronautical, Electrical and Energy Engineering—Applied Physics Area, University of Rome “Sapienza”, Via Eudossiana, 18–00184 Rome, Italy)

  • Ferdinando Salata

    (Department of Astronautical, Electrical and Energy Engineering—Applied Physics Area, University of Rome “Sapienza”, Via Eudossiana, 18–00184 Rome, Italy)

Abstract

Building energy need simulations are usually performed using input files that contain information about the averaged weather data based on historical patterns. Therefore, the simulations performed are not able to provide information about possible future scenarios due to climate change. In this work, future trends of building energy demands due to the climate change across Europe were studied by comparing three time steps (present, 2050, and -2080) in three different European cities, characterized by different Köppen-Geiger climatic classes. A residential building with modern architectural features was taken into consideration for the simulations. Future climate conditions were reached by applying the effects of climate changes to current hourly meteorological data though the climate change tool world weather file generator (CCWorldWeatherGen) tool, according to the guidelines established by the Intergovernmental Panel on Climate Change. In order to examine the resilience of the building, the simulations carried out were compared with respect to: peak power, median values of the power, and energy consumed by heating and cooling system. The observed trend shows a general reduction in the energy needs for heating (–46% for Aberdeen, –80% for Palermo, –36% for Prague in 2080 compared to the present) and increase (occurrence for Aberdeen) in cooling requirements. These results imply a revaluation of system size.

Suggested Citation

  • Virgilio Ciancio & Serena Falasca & Iacopo Golasi & Pieter de Wilde & Massimo Coppi & Livio de Santoli & Ferdinando Salata, 2019. "Resilience of a Building to Future Climate Conditions in Three European Cities," Energies, MDPI, vol. 12(23), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4506-:d:291370
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    References listed on IDEAS

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    1. Sadineni, Suresh B. & Madala, Srikanth & Boehm, Robert F., 2011. "Passive building energy savings: A review of building envelope components," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3617-3631.
    2. Wan, Kevin K.W. & Li, Danny H.W. & Pan, Wenyan & Lam, Joseph C., 2012. "Impact of climate change on building energy use in different climate zones and mitigation and adaptation implications," Applied Energy, Elsevier, vol. 97(C), pages 274-282.
    3. Chiara Burattini & Fabio Nardecchia & Fabio Bisegna & Lucia Cellucci & Franco Gugliermetti & Andrea De Lieto Vollaro & Ferdinando Salata & Iacopo Golasi, 2015. "Methodological Approach to the Energy Analysis of Unconstrained Historical Buildings," Sustainability, MDPI, vol. 7(8), pages 1-17, August.
    4. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    5. 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.
    6. Virgilio Ciancio & Serena Falasca & Iacopo Golasi & Gabriele Curci & Massimo Coppi & Ferdinando Salata, 2018. "Influence of Input Climatic Data on Simulations of Annual Energy Needs of a Building: EnergyPlus and WRF Modeling for a Case Study in Rome (Italy)," Energies, MDPI, vol. 11(10), pages 1-17, October.
    7. Dirks, James A. & Gorrissen, Willy J. & Hathaway, John H. & Skorski, Daniel C. & Scott, Michael J. & Pulsipher, Trenton C. & Huang, Maoyi & Liu, Ying & Rice, Jennie S., 2015. "Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach," Energy, Elsevier, vol. 79(C), pages 20-32.
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    Cited by:

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    5. Bartosz Radomski & Tomasz Mróz, 2021. "The Methodology for Designing Residential Buildings with a Positive Energy Balance—Case Study," Energies, MDPI, vol. 14(16), pages 1-19, August.
    6. Gianmarco Fajilla & Emiliano Borri & Marilena De Simone & Luisa F. Cabeza & Luís Bragança, 2021. "Effect of Climate Change and Occupant Behaviour on the Environmental Impact of the Heating and Cooling Systems of a Real Apartment. A Parametric Study through Life Cycle Assessment," Energies, MDPI, vol. 14(24), pages 1-21, December.
    7. Rosa Francesca De Masi & Valentino Festa & Antonio Gigante & Margherita Mastellone & Silvia Ruggiero & Giuseppe Peter Vanoli, 2021. "Effect of Climate Changes on Renewable Production in the Mediterranean Climate: Case Study of the Energy Retrofit for a Detached House," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
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    9. Sánchez, M.N. & Soutullo, S. & Olmedo, R. & Bravo, D. & Castaño, S. & Jiménez, M.J., 2020. "An experimental methodology to assess the climate impact on the energy performance of buildings: A ten-year evaluation in temperate and cold desert areas," Applied Energy, Elsevier, vol. 264(C).

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