IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v47y2012i1p326-332.html
   My bibliography  Save this article

Definition methodology for the smart cities model

Author

Listed:
  • Lazaroiu, George Cristian
  • Roscia, Mariacristina

Abstract

Nowadays, the large and small districts are proposing a new city model, called “the smart city”, which represents a community of average technology size, interconnected and sustainable, comfortable, attractive and secure. The landscape requirements and the solutions to local problems are the critical factors. The cities consume 75% of worldwide energy production and generate 80% of CO2 emissions. Thus, a sustainable urban model, “the smart city”, is sustained by the European Commission. In this paper, a model for computing “the smart city” indices is proposed. The chosen indicators are not homogeneous, and contain high amount of information. The paper deals with the computation of assigned weights for the considered indicators. The proposed approach uses a procedure based on fuzzy logic and defines a model that allows us to estimate “the smart city”, in order to access European funding. The proposed innovative system results in a more extended comprehension and simple use. Thus, the model could help in policy making process as starting point of discussion between stakeholders, as well as citizens in final decision of adoption measures and best evaluated options.

Suggested Citation

  • Lazaroiu, George Cristian & Roscia, Mariacristina, 2012. "Definition methodology for the smart cities model," Energy, Elsevier, vol. 47(1), pages 326-332.
    • Handle: RePEc:eee:energy:v:47:y:2012:i:1:p:326-332
    DOI: 10.1016/j.energy.2012.09.028
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544212007062
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2012.09.028?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, Yi-Yen & Wang, Hsiao-Lin & Ho, Yu-Feng, 2010. "Urban ecotourism: Defining and assessing dimensions using fuzzy number construction," Tourism Management, Elsevier, vol. 31(6), pages 739-743.
    2. Mathiesen, Brian Vad & Lund, Henrik & Karlsson, Kenneth, 2011. "100% Renewable energy systems, climate mitigation and economic growth," Applied Energy, Elsevier, vol. 88(2), pages 488-501, February.
    3. Gagliardi, Francesco & Roscia, Mariacristina & Lazaroiu, Gheorghe, 2007. "Evaluation of sustainability of a city through fuzzy logic," Energy, Elsevier, vol. 32(5), pages 795-802.
    4. Lund, H. & Mathiesen, B.V., 2009. "Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050," Energy, Elsevier, vol. 34(5), pages 524-531.
    5. Wang, Lei & Xu, Linyu & Song, Huimin, 2011. "Environmental performance evaluation of Beijing's energy use planning," Energy Policy, Elsevier, vol. 39(6), pages 3483-3495, June.
    6. da Graça Carvalho, Maria, 2012. "EU energy and climate change strategy," Energy, Elsevier, vol. 40(1), pages 19-22.
    7. Jovanovic, Marina & Afgan, Naim & Bakic, Vukman, 2010. "An analytical method for the measurement of energy system sustainability in urban areas," Energy, Elsevier, vol. 35(9), pages 3909-3920.
    Full references (including those not matched with items on IDEAS)

    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. Tonini, Davide & Vadenbo, Carl & Astrup, Thomas Fruergaard, 2017. "Priority of domestic biomass resources for energy: Importance of national environmental targets in a climate perspective," Energy, Elsevier, vol. 124(C), pages 295-309.
    2. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Lund, Henrik & Thellufsen, Jakob Zinck & Sorknæs, Peter & Mathiesen, Brian Vad & Chang, Miguel & Madsen, Poul Thøis & Kany, Mikkel Strunge & Skov, Iva Ridjan, 2022. "Smart energy Denmark. A consistent and detailed strategy for a fully decarbonized society," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. Maruf, Md. Nasimul Islam, 2021. "Open model-based analysis of a 100% renewable and sector-coupled energy system–The case of Germany in 2050," Applied Energy, Elsevier, vol. 288(C).
    5. Vinagre Díaz, Juan José & Wilby, Mark Richard & Rodríguez González, Ana Belén, 2015. "The wasted energy: A metric to set up appropriate targets in our path towards fully renewable energy systems," Energy, Elsevier, vol. 90(P1), pages 900-909.
    6. Fernandes, Liliana & Ferreira, Paula, 2014. "Renewable energy scenarios in the Portuguese electricity system," Energy, Elsevier, vol. 69(C), pages 51-57.
    7. Liu, Wei & Zhang, Zhixin & Chen, Jie & Jiang, Deyi & Wu, Fei & Fan, Jinyang & Li, Yinping, 2020. "Feasibility evaluation of large-scale underground hydrogen storage in bedded salt rocks of China: A case study in Jiangsu province," Energy, Elsevier, vol. 198(C).
    8. Lund, Henrik & Mathiesen, Brian Vad, 2012. "The role of Carbon Capture and Storage in a future sustainable energy system," Energy, Elsevier, vol. 44(1), pages 469-476.
    9. Lund, Henrik & Hvelplund, Frede, 2012. "The economic crisis and sustainable development: The design of job creation strategies by use of concrete institutional economics," Energy, Elsevier, vol. 43(1), pages 192-200.
    10. Connolly, D. & Lund, H. & Mathiesen, B.V., 2016. "Smart Energy Europe: The technical and economic impact of one potential 100% renewable energy scenario for the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1634-1653.
    11. Veigas, M. & Ramos, V. & Iglesias, G., 2014. "A wave farm for an island: Detailed effects on the nearshore wave climate," Energy, Elsevier, vol. 69(C), pages 801-812.
    12. Modhurima Dey Amin & Syed Badruddoza & Jill J. McCluskey, 2021. "Does conventional energy pricing induce innovation in renewable energy? New evidence from a nonlinear approach," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(2), pages 659-679, June.
    13. Pillai, Jayakrishnan R. & Heussen, Kai & Østergaard, Poul Alberg, 2011. "Comparative analysis of hourly and dynamic power balancing models for validating future energy scenarios," Energy, Elsevier, vol. 36(5), pages 3233-3243.
    14. Teixeira, Ana Carolina Rodrigues & Sodré, José Ricardo, 2016. "Simulation of the impacts on carbon dioxide emissions from replacement of a conventional Brazilian taxi fleet by electric vehicles," Energy, Elsevier, vol. 115(P3), pages 1617-1622.
    15. Jacobson, Mark Z., 2021. "The cost of grid stability with 100 % clean, renewable energy for all purposes when countries are isolated versus interconnected," Renewable Energy, Elsevier, vol. 179(C), pages 1065-1075.
    16. Tonini, Davide & Astrup, Thomas, 2012. "LCA of biomass-based energy systems: A case study for Denmark," Applied Energy, Elsevier, vol. 99(C), pages 234-246.
    17. Grujić, Miodrag & Ivezić, Dejan & Živković, Marija, 2014. "Application of multi-criteria decision-making model for choice of the optimal solution for meeting heat demand in the centralized supply system in Belgrade," Energy, Elsevier, vol. 67(C), pages 341-350.
    18. Xiong, Weiming & Wang, Yu & Mathiesen, Brian Vad & Lund, Henrik & Zhang, Xiliang, 2015. "Heat roadmap China: New heat strategy to reduce energy consumption towards 2030," Energy, Elsevier, vol. 81(C), pages 274-285.
    19. Heard, B.P. & Brook, B.W. & Wigley, T.M.L. & Bradshaw, C.J.A., 2017. "Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1122-1133.
    20. Djørup, Søren & Thellufsen, Jakob Zinck & Sorknæs, Peter, 2018. "The electricity market in a renewable energy system," Energy, Elsevier, vol. 162(C), pages 148-157.

    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:eee:energy:v:47:y:2012:i:1:p:326-332. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.