Outdoor Thermal Comfort Optimization through Vegetation Parameterization: Species and Tree Layout

Bouthaina Sayad, Djamel Alkama, Redha Rebhi, Younes Menni, Hijaz Ahmad, Mustafa Inc, Mohsen Sharifpur, Giulio Lorenzini, Ehab Azab and Ashraf Y. Elnaggar
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Bouthaina Sayad: Civil Engineering and Hydraulics Laboratory, University 8 Mai 1945 Guelma, Guelma 24000, Algeria
Djamel Alkama: Department of Architecture, University 8 Mai 1945-Guelma, Guelma 24000, Algeria
Redha Rebhi: Department of Mechanical Engineering, Faculty of Technology, University of Medea, Medea 26000, Algeria
Younes Menni: Department of Technology, University Centre of Naama, P.O. Box 66, Naama 45000, Algeria
Hijaz Ahmad: Mathematics in Applied Sciences and Engineering Research Group, Scientific Research Center, Al-Ayen University, Nasiriyah 64001, Iraq
Mustafa Inc: Department of Computer Engineering, Biruni University, Istanbul 34025, Turkey
Mohsen Sharifpur: Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404, Taiwan
Giulio Lorenzini: Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 181/A, 43124 Parma, Italy
Ehab Azab: Department of Food Science and Nutrition (Previously Chemistry), College of Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Ashraf Y. Elnaggar: Department of Food Science and Nutrition (Previously Chemistry), College of Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

Sustainability, 2021, vol. 13, issue 21, 1-14

Abstract: The optimization of outdoor thermal comfort has become the keystone to guarantee the healthy and comfortable use of outdoor spaces. This study aims to optimize the outdoor thermal comfort through vegetation parameterization in a boulevard located in Guelma city, Algeria during summertime. However, two main parameters were investigated, species and tree layout, through a numerical simulation. We first collected microclimate data of a sunny summer day. Second, we used real microclimate data in different simulations using the Envi-met atmospheric model. The findings reveal that Ficus Nitida is the most significant species to intercept solar radiation and provide shade over the day in Souidani Boudjemaa Boulevard, with a maximum reduction of T a = 0.3 °C and UTCI = 2.6 °C at 13:00 p.m. Tree layout is a determining parameter in the creation of shaded paths, based on the quality of the shadows cast by the trees, namely, their size. Thereby, planting the washingtonia palm trees along the center of the boulevard is the best option to maximize the shaded area within the boulevard, with maximum reduction of T a = 1.8 °C and UTCI = 3.5 °C at 16:00 p.m.

Keywords: outdoor thermal comfort; vegetation parameterization; tree species; tree layout; summertime; optimization; numerical simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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