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Methodology developed for the construction of an urban-energy diagnosis aimed to assess alternative scenarios: An intra-urban approach to foster cities’ sustainability

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  • Chévez, Pedro Joaquín
  • Martini, Irene
  • Discoli, Carlos

Abstract

The promotion of energy efficiency (EES) and renewable energy (RES) programs has a long history in developed countries; however, in the rest of the world such initiatives are incipient. Meanwhile, cities are the main recipients of this type of programs; therefore, the development of methodologies for the elaboration of prospective urban-energy studies is really important to efficiently use the available resources. Nevertheless, cities have substantial differences among themselves in terms of structure, conformation and growth, along different regions in the world. Hence, it is necessary that methodologies can respond to different realities that each case presents.

Suggested Citation

  • Chévez, Pedro Joaquín & Martini, Irene & Discoli, Carlos, 2019. "Methodology developed for the construction of an urban-energy diagnosis aimed to assess alternative scenarios: An intra-urban approach to foster cities’ sustainability," Applied Energy, Elsevier, vol. 237(C), pages 751-778.
    • Handle: RePEc:eee:appene:v:237:y:2019:i:c:p:751-778
    DOI: 10.1016/j.apenergy.2019.01.037
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    1. Girardin, Luc & Marechal, François & Dubuis, Matthias & Calame-Darbellay, Nicole & Favrat, Daniel, 2010. "EnerGis: A geographical information based system for the evaluation of integrated energy conversion systems in urban areas," Energy, Elsevier, vol. 35(2), pages 830-840.
    2. Mahbub, Md Shahriar & Cozzini, Marco & Østergaard, Poul Alberg & Alberti, Fabrizio, 2016. "Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design," Applied Energy, Elsevier, vol. 164(C), pages 140-151.
    3. Mörtberg, Ulla & Goldenberg, Romain & Kalantari, Zahra & Kordas, Olga & Deal, Brian & Balfors, Berit & Cvetkovic, Vladimir, 2017. "Integrating ecosystem services in the assessment of urban energy trajectories – A study of the Stockholm Region," Energy Policy, Elsevier, vol. 100(C), pages 338-349.
    4. Kwon, Pil Seok & Østergaard, Poul, 2014. "Assessment and evaluation of flexible demand in a Danish future energy scenario," Applied Energy, Elsevier, vol. 134(C), pages 309-320.
    5. Brito, M.C. & Freitas, S. & Guimarães, S. & Catita, C. & Redweik, P., 2017. "The importance of facades for the solar PV potential of a Mediterranean city using LiDAR data," Renewable Energy, Elsevier, vol. 111(C), pages 85-94.
    6. Matsumoto, Shigeru, 2016. "How do household characteristics affect appliance usage? Application of conditional demand analysis to Japanese household data," Energy Policy, Elsevier, vol. 94(C), pages 214-223.
    7. Yin, Yanhong & Mizokami, Shoshi & Aikawa, Kohei, 2015. "Compact development and energy consumption: Scenario analysis of urban structures based on behavior simulation," Applied Energy, Elsevier, vol. 159(C), pages 449-457.
    8. Roux, Charlotte & Schalbart, Patrick & Assoumou, Edi & Peuportier, Bruno, 2016. "Integrating climate change and energy mix scenarios in LCA of buildings and districts," Applied Energy, Elsevier, vol. 184(C), pages 619-629.
    9. Sveinbjörnsson, Dadi & Ben Amer-Allam, Sara & Hansen, Anders Bavnhøj & Algren, Loui & Pedersen, Allan Schrøder, 2017. "Energy supply modelling of a low-CO2 emitting energy system: Case study of a Danish municipality," Applied Energy, Elsevier, vol. 195(C), pages 922-941.
    10. Fichera, Alberto & Frasca, Mattia & Palermo, Valentina & Volpe, Rosaria, 2018. "An optimization tool for the assessment of urban energy scenarios," Energy, Elsevier, vol. 156(C), pages 418-429.
    11. Zhou, Shaojie & Teng, Fei, 2013. "Estimation of urban residential electricity demand in China using household survey data," Energy Policy, Elsevier, vol. 61(C), pages 394-402.
    12. Perera, A.T.D. & Coccolo, Silvia & Scartezzini, Jean-Louis & Mauree, Dasaraden, 2018. "Quantifying the impact of urban climate by extending the boundaries of urban energy system modeling," Applied Energy, Elsevier, vol. 222(C), pages 847-860.
    13. Nutkiewicz, Alex & Yang, Zheng & Jain, Rishee K., 2018. "Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow," Applied Energy, Elsevier, vol. 225(C), pages 1176-1189.
    14. Zivkovic, Marija & Pereverza, Kateryna & Pasichnyi, Oleksii & Madzarevic, Aleksandar & Ivezic, Dejan & Kordas, Olga, 2016. "Exploring scenarios for more sustainable heating: The case of Niš, Serbia," Energy, Elsevier, vol. 115(P3), pages 1758-1770.
    15. Kotireddy, Rajesh & Hoes, Pieter-Jan & Hensen, Jan L.M., 2018. "A methodology for performance robustness assessment of low-energy buildings using scenario analysis," Applied Energy, Elsevier, vol. 212(C), pages 428-442.
    16. Sarralde, Juan José & Quinn, David James & Wiesmann, Daniel & Steemers, Koen, 2015. "Solar energy and urban morphology: Scenarios for increasing the renewable energy potential of neighbourhoods in London," Renewable Energy, Elsevier, vol. 73(C), pages 10-17.
    17. Caputo, Paola & Costa, Gaia & Ferrari, Simone, 2013. "A supporting method for defining energy strategies in the building sector at urban scale," Energy Policy, Elsevier, vol. 55(C), pages 261-270.
    18. Harvey, David, 2005. "The New Imperialism," OUP Catalogue, Oxford University Press, number 9780199278084, Decembrie.
    19. Tewolde, M. & Longtin, J.P. & Das, S.R. & Sharma, S., 2013. "Determining appliance energy usage with a high-resolution metering system for residential natural gas meters," Applied Energy, Elsevier, vol. 108(C), pages 363-372.
    20. McLoughlin, Fintan & Duffy, Aidan & Conlon, Michael, 2013. "Evaluation of time series techniques to characterise domestic electricity demand," Energy, Elsevier, vol. 50(C), pages 120-130.
    21. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2018. "Modelling urban energy requirements using open source data and models," Applied Energy, Elsevier, vol. 231(C), pages 1100-1108.
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    3. Mrówczyńska, Maria & Skiba, Marta & Bazan-Krzywoszańska, Anna & Sztubecka, Małgorzata, 2020. "Household standards and socio-economic aspects as a factor determining energy consumption in the city," Applied Energy, Elsevier, vol. 264(C).

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