IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i2p410-d308605.html
   My bibliography  Save this article

How Climate Change Affects the Building Energy Consumptions Due to Cooling, Heating, and Electricity Demands of Italian Residential Sector

Author

Listed:
  • Francesco Mancini

    (Department of Planning, Design and Technology of Architecture, Sapienza University of Rome, 00197 Rome, Italy)

  • Gianluigi Lo Basso

    (Department of Astronautics, Electrical Energy Engineering, Sapienza University of Rome, 00184 Rome, Italy)

Abstract

Climate change affects the buildings’ performance, significantly influencing energy consumption, as well as the indoor thermal comfort. As a consequence, the growing outdoor environmental temperatures entail a slight reduction in heating consumption and an increase in cooling consumption, with different overall effects depending on the latitudes. This document focuses attention on the Italian residential sector, considering the current and reduced meteorological data, in anticipation of future climate scenarios. According to a sample of 419 buildings, referring to the climatic conditions of Milan, Florence, Rome, and Naples, the heating and cooling needs are calculated by a simplified dynamic model, in current and future conditions. The effects of the simplest climate adaptation measure, represented by the introduction of new air conditioners, have been also evaluated. The simulations results show an important reduction in complex energy consumption (Milan −6%, Florence −22%, Rome −25%, Naples −30%), due to the greater incidence of heating demand in the Italian context. However, the increase in air conditioning electrical consumption over the hot season (Milan +11%, Florence +20%, Rome +19%, Naples +16%) can play a critical role for the electrical system; for that reason, the introduction of photovoltaic arrays as a compensatory measure have been analysed.

Suggested Citation

  • Francesco Mancini & Gianluigi Lo Basso, 2020. "How Climate Change Affects the Building Energy Consumptions Due to Cooling, Heating, and Electricity Demands of Italian Residential Sector," Energies, MDPI, vol. 13(2), pages 1-24, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:410-:d:308605
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/2/410/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/2/410/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Herbes, Carsten & Brummer, Vasco & Rognli, Judith & Blazejewski, Susanne & Gericke, Naomi, 2017. "Responding to policy change: New business models for renewable energy cooperatives – Barriers perceived by cooperatives’ members," Energy Policy, Elsevier, vol. 109(C), pages 82-95.
    2. Cui, Ying & Yan, Da & Hong, Tianzhen & Xiao, Chan & Luo, Xuan & Zhang, Qi, 2017. "Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China," Applied Energy, Elsevier, vol. 195(C), pages 890-904.
    3. Shimizu, Teruyuki & Kikuchi, Yasunori & Sugiyama, Hirokazu & Hirao, Masahiko, 2015. "Design method for a local energy cooperative network using distributed energy technologies," Applied Energy, Elsevier, vol. 154(C), pages 781-793.
    4. Palmer, Diane & Gottschalg, Ralph & Betts, Tom, 2019. "The future scope of large-scale solar in the UK: Site suitability and target analysis," Renewable Energy, Elsevier, vol. 133(C), pages 1136-1146.
    5. Chiabrando, Roberto & Fabrizio, Enrico & Garnero, Gabriele, 2009. "The territorial and landscape impacts of photovoltaic systems: Definition of impacts and assessment of the glare risk," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2441-2451, December.
    6. Perpiña Castillo, Carolina & Batista e Silva, Filipe & Lavalle, Carlo, 2016. "An assessment of the regional potential for solar power generation in EU-28," Energy Policy, Elsevier, vol. 88(C), pages 86-99.
    7. Francesco Mancini & Gianluigi Lo Basso & Livio De Santoli, 2019. "Energy Use in Residential Buildings: Characterisation for Identifying Flexible Loads by Means of a Questionnaire Survey," Energies, MDPI, vol. 12(11), pages 1-19, May.
    8. Francesco Mancini & Gianluigi Lo Basso & Livio de Santoli, 2019. "Energy Use in Residential Buildings: Impact of Building Automation Control Systems on Energy Performance and Flexibility," Energies, MDPI, vol. 12(15), pages 1-21, July.
    9. van Hooff, T. & Blocken, B. & Timmermans, H.J.P. & Hensen, J.L.M., 2016. "Analysis of the predicted effect of passive climate adaptation measures on energy demand for cooling and heating in a residential building," Energy, Elsevier, vol. 94(C), pages 811-820.
    10. Francesco Mancini & Benedetto Nastasi, 2019. "Energy Retrofitting Effects on the Energy Flexibility of Dwellings," Energies, MDPI, vol. 12(14), pages 1-19, July.
    11. Giamalaki, Marina & Tsoutsos, Theocharis, 2019. "Sustainable siting of solar power installations in Mediterranean using a GIS/AHP approach," Renewable Energy, Elsevier, vol. 141(C), pages 64-75.
    12. Overholm, Harald, 2015. "Spreading the rooftop revolution: What policies enable solar-as-a-service?," Energy Policy, Elsevier, vol. 84(C), pages 69-79.
    13. Reza Fazeli & Brynhildur Davidsdottir & Jonas Hlynur Hallgrimsson, 2016. "Climate Impact On Energy Demand For Space Heating In Iceland," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-23, May.
    14. Nikolaos Sifakis & Nikolaos Savvakis & Tryfon Daras & Theocharis Tsoutsos, 2019. "Analysis of the Energy Consumption Behavior of European RES Cooperative Members," Energies, MDPI, vol. 12(6), pages 1-19, March.
    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. Giovanni M. Chiri & Maddalena Achenza & Anselmo Canì & Leonardo Neves & Luca Tendas & Simone Ferrari, 2020. "The Microclimate Design Process in Current African Development: The UEM Campus in Maputo, Mozambique," Energies, MDPI, vol. 13(9), pages 1-22, May.
    2. Hassan Bazazzadeh & Peiman Pilechiha & Adam Nadolny & Mohammadjavad Mahdavinejad & Seyedeh sara Hashemi safaei, 2021. "The Impact Assessment of Climate Change on Building Energy Consumption in Poland," Energies, MDPI, vol. 14(14), pages 1-17, July.
    3. Elzbieta Rynska & Joanna Klimowicz & Slawomir Kowal & Krzysztof Lyzwa & Michal Pierzchalski & Wojciech Rekosz, 2020. "Smart Energy Solutions as an Indispensable Multi-Criteria Input for a Coherent Urban Planning and Building Design Process—Two Case Studies for Smart Office Buildings in Warsaw Downtown Area," Energies, MDPI, vol. 13(15), pages 1-24, July.
    4. Francesco Mancini & Sabrina Romano & Gianluigi Lo Basso & Jacopo Cimaglia & Livio de Santoli, 2020. "How the Italian Residential Sector Could Contribute to Load Flexibility in Demand Response Activities: A Methodology for Residential Clustering and Developing a Flexibility Strategy," Energies, MDPI, vol. 13(13), pages 1-25, July.
    5. Filomena Pietrapertosa & Marco Tancredi & Michele Giordano & Carmelina Cosmi & Monica Salvia, 2020. "How to Prioritize Energy Efficiency Intervention in Municipal Public Buildings to Decrease CO 2 Emissions? A Case Study from Italy," IJERPH, MDPI, vol. 17(12), pages 1-14, June.
    6. David Borge-Diez, 2022. "Advanced Energy Efficiency Systems in Buildings," Energies, MDPI, vol. 15(19), pages 1-3, 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. Francesco Mancini & Benedetto Nastasi, 2020. "Solar Energy Data Analytics: PV Deployment and Land Use," Energies, MDPI, vol. 13(2), pages 1-18, January.
    2. Francesco Mancini & Sabrina Romano & Gianluigi Lo Basso & Jacopo Cimaglia & Livio de Santoli, 2020. "How the Italian Residential Sector Could Contribute to Load Flexibility in Demand Response Activities: A Methodology for Residential Clustering and Developing a Flexibility Strategy," Energies, MDPI, vol. 13(13), pages 1-25, July.
    3. Sward, Jeffrey A. & Nilson, Roberta S. & Katkar, Venktesh V. & Stedman, Richard C. & Kay, David L. & Ifft, Jennifer E. & Zhang, K. Max, 2021. "Integrating social considerations in multicriteria decision analysis for utility-scale solar photovoltaic siting," Applied Energy, Elsevier, vol. 288(C).
    4. Nikolaos Sifakis & Nikolaos Savvakis & Tryfon Daras & Theocharis Tsoutsos, 2019. "Analysis of the Energy Consumption Behavior of European RES Cooperative Members," Energies, MDPI, vol. 12(6), pages 1-19, March.
    5. Alexandra Vrînceanu & Ines Grigorescu & Monica Dumitrașcu & Irena Mocanu & Cristina Dumitrică & Dana Micu & Gheorghe Kucsicsa & Bianca Mitrică, 2019. "Impacts of Photovoltaic Farms on the Environment in the Romanian Plain," Energies, MDPI, vol. 12(13), pages 1-18, July.
    6. Francesco Mancini & Gianluigi Lo Basso & Livio de Santoli, 2019. "Energy Use in Residential Buildings: Impact of Building Automation Control Systems on Energy Performance and Flexibility," Energies, MDPI, vol. 12(15), pages 1-21, July.
    7. Li, Han & Johra, Hicham & de Andrade Pereira, Flavia & Hong, Tianzhen & Le Dréau, Jérôme & Maturo, Anthony & Wei, Mingjun & Liu, Yapan & Saberi-Derakhtenjani, Ali & Nagy, Zoltan & Marszal-Pomianowska,, 2023. "Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives," Applied Energy, Elsevier, vol. 343(C).
    8. Botelho, Anabela & Lourenço-Gomes, Lina & Pinto, Lígia & Sousa, Sara & Valente, Marieta, 2017. "Accounting for local impacts of photovoltaic farms: The application of two stated preferences approaches to a case-study in Portugal," Energy Policy, Elsevier, vol. 109(C), pages 191-198.
    9. Francesco Mancini & Jacopo Cimaglia & Gianluigi Lo Basso & Sabrina Romano, 2021. "Implementation and Simulation of Real Load Shifting Scenarios Based on a Flexibility Price Market Strategy—The Italian Residential Sector as a Case Study," Energies, MDPI, vol. 14(11), pages 1-21, May.
    10. Saraswat, S.K. & Digalwar, Abhijeet K. & Yadav, S.S. & Kumar, Gaurav, 2021. "MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India," Renewable Energy, Elsevier, vol. 169(C), pages 865-884.
    11. Dimitra G. Vagiona, 2021. "Comparative Multicriteria Analysis Methods for Ranking Sites for Solar Farm Deployment: A Case Study in Greece," Energies, MDPI, vol. 14(24), pages 1-23, December.
    12. Specht, Jan Martin & Madlener, Reinhard, 2019. "Energy Supplier 2.0: A conceptual business model for energy suppliers aggregating flexible distributed assets and policy issues raised," Energy Policy, Elsevier, vol. 135(C).
    13. Katkar, Venktesh V. & Sward, Jeffrey A. & Worsley, Alex & Zhang, K. Max, 2021. "Strategic land use analysis for solar energy development in New York State," Renewable Energy, Elsevier, vol. 173(C), pages 861-875.
    14. Wang, Yongli & Tao, Siyi & Chen, Xin & Huang, Feifei & Xu, Xiaomin & Liu, Xiaoli & Liu, Yang & Liu, Lin, 2022. "Method multi-criteria decision-making method for site selection analysis and evaluation of urban integrated energy stations based on geographic information system," Renewable Energy, Elsevier, vol. 194(C), pages 273-292.
    15. Vrînceanu, Alexandra & Dumitrașcu, Monica & Kucsicsa, Gheorghe, 2022. "Site suitability for photovoltaic farms and current investment in Romania," Renewable Energy, Elsevier, vol. 187(C), pages 320-330.
    16. Lo Basso, Gianluigi & de Santoli, Livio & Paiolo, Romano & Losi, Claudio, 2021. "The potential role of trans-critical CO2 heat pumps within a solar cooling system for building services: The hybridised system energy analysis by a dynamic simulation model," Renewable Energy, Elsevier, vol. 164(C), pages 472-490.
    17. Cui, Can & Wang, Zhen & Cai, Bofeng & Peng, Sha & Wang, Yang & Xu, Chengdong, 2021. "Evolution-based CO2 emission baseline scenarios of Chinese cities in 2025," Applied Energy, Elsevier, vol. 281(C).
    18. Ioannidis, Romanos & Koutsoyiannis, Demetris, 2020. "A review of land use, visibility and public perception of renewable energy in the context of landscape impact," Applied Energy, Elsevier, vol. 276(C).
    19. Michele Libralato & Alessandra De Angelis & Giulia Tornello & Onorio Saro & Paola D’Agaro & Giovanni Cortella, 2021. "Evaluation of Multiyear Weather Data Effects on Hygrothermal Building Energy Simulations Using WUFI Plus," Energies, MDPI, vol. 14(21), pages 1-15, November.
    20. Anna Życzyńska & Dariusz Majerek & Zbigniew Suchorab & Agnieszka Żelazna & Václav Kočí & Robert Černý, 2021. "Improving the Energy Performance of Public Buildings Equipped with Individual Gas Boilers Due to Thermal Retrofitting," Energies, MDPI, vol. 14(6), pages 1-19, March.

    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:13:y:2020:i:2:p:410-:d:308605. 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.