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A New Framework to Evaluate Urban Design Using Urban Microclimatic Modeling in Future Climatic Conditions

Author

Listed:
  • Dasaraden Mauree

    (Solar Energy and Building Physics Laboratory, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland)

  • Silvia Coccolo

    (Solar Energy and Building Physics Laboratory, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland)

  • Amarasinghage Tharindu Dasun Perera

    (Solar Energy and Building Physics Laboratory, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland)

  • Vahid Nik

    (Division of Building Physics, Department of Building and Environmental Technology, Lund University, SE 223 63 Lund, Sweden
    Division of Building Technology, Department of Civil and Environmental Engineering, Chalmers University of Technology, 41258 Gothenburg, Sweden)

  • Jean-Louis Scartezzini

    (Solar Energy and Building Physics Laboratory, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland)

  • Emanuele Naboni

    (Institute of Architecture and Technology, The Royal Danish Academy of Fine Arts, Schools of Architecture, Design and Conservation,1425 Copenhagen, Denmark)

Abstract

Building more energy-efficient and sustainable urban areas that will both mitigate the effects of climate change and anticipate living conditions in future climate scenarios requires the development of new tools and methods that can help urban planners, architects and communities achieve this goal. In the current study, we designed a workflow that links different methodologies developed separately, to derive the energy consumption of a university school campus for the future. Three different scenarios for typical future years (2039, 2069, 2099) were run, as well as a renovation scenario (Minergie-P). We analyzed the impact of climate change on the heating and cooling demand of buildings and determined the relevance of taking into account the local climate in this particular context. The results from the simulations confirmed that in the future, there will be a constant decrease in the heating demand, while the cooling demand will substantially increase. Significantly, it was further demonstrated that when the local urban climate was taken into account, there was an even higher rise in the cooling demand, but also that a set of proposed Minergie-P renovations were not sufficient to achieve resilient buildings. We discuss the implication of this work for the simulation of building energy consumption at the neighborhood scale and the impact of future local climate on energy system design. We finally give a few perspectives regarding improved urban design and possible pathways for future urban areas.

Suggested Citation

  • Dasaraden Mauree & Silvia Coccolo & Amarasinghage Tharindu Dasun Perera & Vahid Nik & Jean-Louis Scartezzini & Emanuele Naboni, 2018. "A New Framework to Evaluate Urban Design Using Urban Microclimatic Modeling in Future Climatic Conditions," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1134-:d:140362
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    References listed on IDEAS

    as
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    6. Yan Zhou & J. Shepherd, 2010. "Atlanta’s urban heat island under extreme heat conditions and potential mitigation strategies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 52(3), pages 639-668, March.
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    10. Perera, A.T.D. & Nik, Vahid M. & Mauree, Dasaraden & Scartezzini, Jean-Louis, 2017. "An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making," Energy, Elsevier, vol. 134(C), pages 103-120.
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    Citations

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    Cited by:

    1. Guignard, Fabian & Mauree, Dasaraden & Kanevski, Mikhail & Telesca, Luciano, 2019. "Wavelet variance scale-dependence as a dynamics discriminating tool in high-frequency urban wind speed time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 771-777.
    2. Perera, A.T.D. & Hong, Tianzhen, 2023. "Vulnerability and resilience of urban energy ecosystems to extreme climate events: A systematic review and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    3. Perera, A.T.D. & Javanroodi, Kavan & Nik, Vahid M., 2021. "Climate resilient interconnected infrastructure: Co-optimization of energy systems and urban morphology," Applied Energy, Elsevier, vol. 285(C).
    4. Younes Delhoum & Rachid Belaroussi & Francis Dupin & Mahdi Zargayouna, 2020. "Activity-Based Demand Modeling for a Future Urban District," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    5. Silvia Croce & Elisa D’Agnolo & Mauro Caini & Rossana Paparella, 2021. "The Use of Cool Pavements for the Regeneration of Industrial Districts," Sustainability, MDPI, vol. 13(11), pages 1-24, June.
    6. Yujiro Hirano & Tomohiko Ihara & Kei Gomi & Tsuyoshi Fujita, 2019. "Simulation-Based Evaluation of the Effect of Green Roofs in Office Building Districts on Mitigating the Urban Heat Island Effect and Reducing CO 2 Emissions," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    7. Mauree, Dasaraden & Naboni, Emanuele & Coccolo, Silvia & Perera, A.T.D. & Nik, Vahid M. & Scartezzini, Jean-Louis, 2019. "A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 733-746.
    8. Naboni, Emanuele & Natanian, Jonathan & Brizzi, Giambattista & Florio, Pietro & Chokhachian, Ata & Galanos, Theodoros & Rastogi, Parag, 2019. "A digital workflow to quantify regenerative urban design in the context of a changing climate," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    9. Karni Siraganyan & Amarasinghage Tharindu Dasun Perera & Jean-Louis Scartezzini & Dasaraden Mauree, 2019. "Eco-Sim: A Parametric Tool to Evaluate the Environmental and Economic Feasibility of Decentralized Energy Systems," Energies, MDPI, vol. 12(5), pages 1-22, February.
    10. Darryn McEvoy, 2019. "Climate Resilient Urban Development," Sustainability, MDPI, vol. 11(3), pages 1-4, January.
    11. Perera, A.T.D. & Wickramasinghe, P.U. & Nik, Vahid M. & Scartezzini, Jean-Louis, 2020. "Introducing reinforcement learning to the energy system design process," Applied Energy, Elsevier, vol. 262(C).
    12. Davidson, Eleni & Schwartz, Yair & Williams, Joe & Mumovic, Dejan, 2024. "Resilience of the higher education sector to future climates: A systematic review of predicted building energy performance and modelling approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    13. Jiayu Li & Bohong Zheng & Xiao Chen & Yihua Zhou & Jifa Rao & Komi Bernard Bedra, 2020. "Research on Annual Thermal Environment of Non-Hvac Building Regulated by Window-to-Wall Ratio in a Chinese City (Chenzhou)," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    14. Telesca, Luciano & Laib, Mohamed & Guignard, Fabian & Mauree, Dasaraden & Kanevski, Mikhail, 2019. "Linearity versus non-linearity in high frequency multilevel wind time series measured in urban areas," Chaos, Solitons & Fractals, Elsevier, vol. 120(C), pages 234-244.

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