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Influence of aspect ratio and orientation on large courtyard thermal conditions in the historical centre of Camagüey-Cuba

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  • Rodríguez-Algeciras, José
  • Tablada, Abel
  • Chaos-Yeras, Mabel
  • De la Paz, Guillermo
  • Matzarakis, Andreas

Abstract

The combined effect of climate change and Urban Heat Island (UHI) effect is leading to a rise in air temperature in urban areas, including those with heritage value. Urban morphology and its effect on sun shading conditions in tropical cities is crucial to reduce UHI and improve outdoor thermal comfort. This paper presents a temporal-spatial analysis of the effect of courtyards geometry on their outdoor thermal conditions in a warm-humid climate. The assessment is based on numerical simulations of the mean radiant temperature, by using the RayMan model. Large courtyards geometry (convent typology), in the historical centre of Camagüey, were modelled and analysed changing their height-to-width ratio and orientation. Our findings confirm the effect of varying courtyard tridimensional aspect ratios on outdoor thermal conditions. Aspect ratios higher than 1 are advisable, as they contribute to improve the courtyard thermal conditions in summer, by reducing the subzones in the courtyard where the Tmrt is above 45 °C. Orienting the courtyard's long axis away from the East-West results in a lower level of Tmrt, with reductions of up to 15.7 °C, for high aspect ratios. The obtained Tmrt patterns give information about the most suitable subzones within the courtyards, according to the time of day and season. The proposed design and usability recommendations could be included in renovation projects aimed at enhancing courtyards' thermal conditions and contributing to an improvement of the surrounding urban microclimate.

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  • Rodríguez-Algeciras, José & Tablada, Abel & Chaos-Yeras, Mabel & De la Paz, Guillermo & Matzarakis, Andreas, 2018. "Influence of aspect ratio and orientation on large courtyard thermal conditions in the historical centre of Camagüey-Cuba," Renewable Energy, Elsevier, vol. 125(C), pages 840-856.
    • Handle: RePEc:eee:renene:v:125:y:2018:i:c:p:840-856
    DOI: 10.1016/j.renene.2018.01.082
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    References listed on IDEAS

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    1. Andreou, E., 2014. "The effect of urban layout, street geometry and orientation on shading conditions in urban canyons in the Mediterranean," Renewable Energy, Elsevier, vol. 63(C), pages 587-596.
    2. Jamei, Elmira & Rajagopalan, Priyadarsini & Seyedmahmoudian, Mohammadmehdi & Jamei, Yashar, 2016. "Review on the impact of urban geometry and pedestrian level greening on outdoor thermal comfort," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1002-1017.
    3. Givoni, B., 1994. "Urban design for hot humid regions," Renewable Energy, Elsevier, vol. 5(5), pages 1047-1053.
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    2. Kristian Fabbri & Jacopo Gaspari & Alessia Costa & Sofia Principi, 2022. "The Role of Architectural Skin Emissivity Influencing Outdoor Microclimatic Comfort: A Case Study in Bologna, Italy," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    3. Ivan Julio Apolonio Callejas & Luciane Cleonice Durante & Eduardo Diz-Mellado & Carmen Galán-Marín, 2020. "Thermal Sensation in Courtyards: Potentialities as a Passive Strategy in Tropical Climates," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    4. Nazanin Nasrollahi & Amir Ghosouri & Jamal Khodakarami & Mohammad Taleghani, 2020. "Heat-Mitigation Strategies to Improve Pedestrian Thermal Comfort in Urban Environments: A Review," Sustainability, MDPI, vol. 12(23), pages 1-23, November.
    5. Yujie Lin & Yumeng Jin & Hong Jin, 2019. "Field Study on the Microclimate of Public Spaces in Traditional Residential Areas in a Severe Cold Region of China," IJERPH, MDPI, vol. 16(16), pages 1-16, August.
    6. Ahmed Yasser Abdelmejeed & Dietwald Gruehn, 2023. "Optimization of Microclimate Conditions Considering Urban Morphology and Trees Using ENVI-Met: A Case Study of Cairo City," Land, MDPI, vol. 12(12), pages 1-34, December.
    7. Eduardo Diz-Mellado & Samuele Rubino & Soledad Fernández-García & Macarena Gómez-Mármol & Carlos Rivera-Gómez & Carmen Galán-Marín, 2021. "Applied Machine Learning Algorithms for Courtyards Thermal Patterns Accurate Prediction," Mathematics, MDPI, vol. 9(10), pages 1-19, May.

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