IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i13p3540-d243468.html
   My bibliography  Save this article

Buildingmass and Energy Demand in Conventional Housing Typologies of the Mediterranean City

Author

Listed:
  • Michele Morganti

    (SOS Urban Lab—DICEA Department, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy
    Department of Architecture and Urban Studies, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy)

  • Anna Pages-Ramon

    (Architecture and Energy—Barcelona School of Architecture, UPC, Av. Diagonal 649, 08028 Barcelona, Spain)

  • Helena Coch

    (Architecture and Energy—Barcelona School of Architecture, UPC, Av. Diagonal 649, 08028 Barcelona, Spain)

  • Antonio Isalgue

    (Architecture and Energy—Barcelona School of Architecture, UPC, Av. Diagonal 649, 08028 Barcelona, Spain)

Abstract

The causal relation among building typology and building energy demand is a complex balance of climate, morphology, technology and use. The assessment of the relation between mass of building elements and energy demand in different housing typologies is the main goal of this study. A novel indicator, namely the Buildingmass, is introduced and tested in the Mediterranean climate region. Explorations on nine conventional housing typologies in Barcelona and Rome are carried out. Buildingmass evaluation is based on the calculation of the mass of building elements. Energy demand is assessed by modelling on multi-space dynamic thermal analysis tool. Our results point out that the Buildingmass has a strong relevance on energy, playing an important role in reducing heating and cooling demand in the Mediterranean city, as described by the proposed correlation (R 2 = 0.88). Moreover, this indicator gives a more detailed characterisation of the housing stock of the Mediterranean city. The study aims at bridging the gap between urban physics and urban metabolism studies and fostering energy conservation measures for the built environment.

Suggested Citation

  • Michele Morganti & Anna Pages-Ramon & Helena Coch & Antonio Isalgue, 2019. "Buildingmass and Energy Demand in Conventional Housing Typologies of the Mediterranean City," Sustainability, MDPI, vol. 11(13), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3540-:d:243468
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/13/3540/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/13/3540/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Isalgue, Antonio & Coch, Helena & Serra, Rafael, 2007. "Scaling laws and the modern city," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(2), pages 643-649.
    2. Kühnert, Christian & Helbing, Dirk & West, Geoffrey B., 2006. "Scaling laws in urban supply networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 96-103.
    3. Philip Steadman & Harry R Bruhns & Senino Holtier & Bratislav Gakovic & Peter A Rickaby & Frank E Brown, 2000. "A Classification of Built Forms," Environment and Planning B, , vol. 27(1), pages 73-91, February.
    4. Lämmer, Stefan & Gehlsen, Björn & Helbing, Dirk, 2006. "Scaling laws in the spatial structure of urban road networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 89-95.
    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. Héctor Saldaña-Márquez & Diana C. Gámez-García & José M. Gómez-Soberón & Susana P. Arredondo-Rea & Ramón Corral-Higuera & María C. Gómez-Soberón, 2019. "Housing Indicators for Sustainable Cities in Middle-Income Countries through the Residential Urban Environment Recognized Using Single-Family Housing Rating Systems," Sustainability, MDPI, vol. 11(16), pages 1-29, August.

    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. Zhang, Jiang & Yu, Tongkui, 2010. "Allometric scaling of countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4887-4896.
    2. Dalgaard, Carl-Johan & Strulik, Holger, 2011. "Energy distribution and economic growth," Resource and Energy Economics, Elsevier, vol. 33(4), pages 782-797.
    3. David Levinson, 2012. "Network Structure and City Size," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-11, January.
    4. Wang, Ping & Gu, Changgui & Yang, Huijie & Wang, Haiying, 2022. "The multi-scale structural complexity of urban morphology in China," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    5. Horacio Samaniego & Melanie E. Moses, 2008. "Cities as Organisms: Allometric Scaling of Urban Road Networks," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(1), pages 21-39.
    6. Hongguang Dong & Menghui Li & Ru Liu & Chensheng Wu & Jinshan Wu, 2017. "Allometric scaling in scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 583-594, July.
    7. Denise PUMAIN, 2012. "Une Théorie Géographique Pour La Loi De Zipf," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 31-54.
    8. Joao Meirelles & Camilo Rodrigues Neto & Fernando Fagundes Ferreira & Fabiano Lemes Ribeiro & Claudia Rebeca Binder, 2018. "Evolution of urban scaling: Evidence from Brazil," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    9. repec:osf:socarx:pbzn6_v1 is not listed on IDEAS
    10. Zhang, Tong & Zeng, Zhe & Jia, Tao & Li, Jing, 2016. "Examining the amenability of urban street networks for locating facilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 469-479.
    11. Fabian Adelt & Johannes Weyer & Sebastian Hoffmann & Andreas Ihrig, 2018. "Simulation of the Governance of Complex Systems (SimCo): Basic Concepts and Experiments on Urban Transportation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-2.
    12. Xu, Gang & Xu, Zhibang & Gu, Yanyan & Lei, Weiqian & Pan, Yupiao & Liu, Jie & Jiao, Limin, 2020. "Scaling laws in intra-urban systems and over time at the district level in Shanghai, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    13. Cura, Robin & Cottineau, Clémentine & Swerts, Elfie & Ignazzi, Cosmo Antonio & Bretagnolle, Anne & Vacchiani-Marcuzzo, Celine & Pumain, Denise, 2017. "The Old and the New: Qualifying City Systems in the World with Classical Models and New Data," SocArXiv pbzn6, Center for Open Science.
    14. Hu, Lunchao & Tian, Kailan & Wang, Xin & Zhang, Jiang, 2012. "The “S” curve relationship between export diversity and economic size of countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 731-739.
    15. Xin Li & Yongsheng Qian & Junwei Zeng & Xuting Wei & Xiaoping Guang, 2022. "Measurement of Street Network Structure in Strip Cities: A Case Study of Lanzhou, China," Sustainability, MDPI, vol. 14(5), pages 1-17, February.
    16. Lihua Xu & Huifeng Xu & Tianyu Wang & Wenze Yue & Jinyang Deng & Liwei Mao, 2019. "Measuring Urban Spatial Activity Structures: A Comparative Analysis," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    17. Fábio Duarte & Ricardo Álvarez, 2019. "The data politics of the urban age," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 5(1), pages 1-7, December.
    18. Cheng, Lu & Mi, Zhifu & Sudmant, Andrew & Coffman, D'Maris, 2022. "Bigger cities better climate? Results from an analysis of urban areas in China," Energy Economics, Elsevier, vol. 107(C).
    19. Wang, Shiguang & Zheng, Lili & Yu, Dexin, 2017. "The improved degree of urban road traffic network: A case study of Xiamen, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 256-264.
    20. Gao, Ran & Li, Angui & Lei, Wenjun & Zhao, Yujiao & Zhang, Ying & Deng, Baoshun, 2013. "A novel evacuation passageway formed by a breathing air supply zone combined with upward ventilation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4793-4803.
    21. Jung-Hun Yang & Kwang-Woo Nam, 2022. "Modelling the Relationship of Infrastructure and Externalities Using Urban Scaling," Sustainability, MDPI, vol. 14(9), pages 1-17, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:11:y:2019:i:13:p:3540-:d:243468. 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.