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Development of Spatial Distribution Maps for Energy Demand and Thermal Comfort Estimation in Algeria

Author

Listed:
  • Samir Semahi

    (Sustainable Building Design (SBD) Lab, Department of UEE, Faculty of Applied Sciences, Universitè de Liège, 4000 Liège, Belgium
    Institut d’Architecture et d’Urbanisme (IAU), Universite de Blida 1, Route de Soumâa, Blida 09000, Algeria)

  • Mohammed Amin Benbouras

    (Laboratoire de matériaux en génie civil et environnement, École Nationale Polytechnique, Algiers BPN 177, Algeria
    Laboratoire Centrale de Travaux Publique LCTP, Algiers BP 135 16008, Algeria)

  • Waqas Ahmed Mahar

    (Sustainable Building Design (SBD) Lab, Department of UEE, Faculty of Applied Sciences, Universitè de Liège, 4000 Liège, Belgium
    Department of Architecture, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Airport Road, Baleli, Quetta 87100, Pakistan)

  • Noureddine Zemmouri

    (Laboratory of Design and Modeling of Architectural and Urban Forms and Ambiances (LACOMOFA), Department of architecture, Universite de Biskra, Biskra 07000, Algeria)

  • Shady Attia

    (Sustainable Building Design (SBD) Lab, Department of UEE, Faculty of Applied Sciences, Universitè de Liège, 4000 Liège, Belgium)

Abstract

Climatic spatial maps are essential for understanding the thermal conditions of cities and estimate their cooling and heating energy needs. Climate maps allow building designers and city planners to get adequately informed without accessing, analyzing or interpreting dense textual information. In this study, a representative residential benchmark model was simulated in seventy-four cities of Algeria. The simulation results were interpolated using geographic information systems to generate six high-resolution maps that spatially estimate and visualize the discomfort hours and cooling/heating energy needs. The unique methodology relies on a reliable weather dataset (2004–2018) and combines the power of building performance simulation and geographic information systems. The results of these analyses provide easy to understand and web-based atlas that can be used to explore regional and local climate and quantify the discomfort hours, the heating/cooling energy needs and energy use intensity. The spatial maps are not a static product, but rather data-rich content, which can be expanded to include the most important cities of Algeria. The capabilities of the tool allow architects and urban planners to understand the climate better and propose practical design guidance.

Suggested Citation

  • Samir Semahi & Mohammed Amin Benbouras & Waqas Ahmed Mahar & Noureddine Zemmouri & Shady Attia, 2020. "Development of Spatial Distribution Maps for Energy Demand and Thermal Comfort Estimation in Algeria," Sustainability, MDPI, vol. 12(15), pages 1-25, July.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:6066-:d:391082
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    References listed on IDEAS

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    1. Roshan, Gh.R. & Ghanghermeh, A.A. & Attia, S., 2017. "Determining new threshold temperatures for cooling and heating degree day index of different climatic zones of Iran," Renewable Energy, Elsevier, vol. 101(C), pages 156-167.
    2. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2018. "Performance-based validation of climatic zoning for building energy efficiency applications," Applied Energy, Elsevier, vol. 212(C), pages 416-427.
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    1. Mohamed Elhadi Matallah & Waqas Ahmed Mahar & Mushk Bughio & Djamel Alkama & Atef Ahriz & Soumia Bouzaher, 2021. "Prediction of Climate Change Effect on Outdoor Thermal Comfort in Arid Region," Energies, MDPI, vol. 14(16), pages 1-26, August.
    2. Mohamed Elhadi Matallah & Djamel Alkama & Jacques Teller & Atef Ahriz & Shady Attia, 2021. "Quantification of the Outdoor Thermal Comfort within Different Oases Urban Fabrics," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    3. Martínez-Gordón, R. & Morales-España, G. & Sijm, J. & Faaij, A.P.C., 2021. "A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    4. Remizov, Alexey & Memon, Shazim Ali & Kim, Jong R., 2024. "Novel building energy performance-based climate zoning enhanced with spatial constraint," Applied Energy, Elsevier, vol. 355(C).
    5. Mushk Bughio & Muhammad Shoaib Khan & Waqas Ahmed Mahar & Thorsten Schuetze, 2021. "Impact of Passive Energy Efficiency Measures on Cooling Energy Demand in an Architectural Campus Building in Karachi, Pakistan," Sustainability, MDPI, vol. 13(13), pages 1-35, June.

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