Data-driven and numerical approaches to predict thermal comfort in traditional courtyards. (February 2020)

• Record Type: Journal Article
• Authors: Teshnehdel, Saeid; Mirnezami, Seyedasghar; Saber, Aniseh; Pourzangbar, Ali; Olabi, Abdul Ghani
• Is Part Of: Sustainable energy technologies and assessments. Volume 37(2020)
• Publication Date: 2020-02
• Subjects: Thermal comfort -- Genetic Programming -- PET -- PMV -- Traditional courtyards; Renewable energy sources -- Periodicals; Energy development -- Technological innovations -- Periodicals; Electric power production -- Periodicals; Energy storage -- Periodicals; 333.79
• DOI: 10.1016/j.seta.2019.100569
• Languages: English
• ISSNs: 2213-1388

Abstract

Highlights: Thermal comfort in courtyards is studied by means of Envi-met software and genetic programming. A new formulae is developed using Genetic Programming to predict thermal comfort in courtyards. The Envi-met simulations are validated using field measurements. A set of practical charts for the prediction of thermal comfort in historical courtyards is developed. Error band charts are used to assess the reliability of the GP developed models. Abstract: This paper studies the climactic performance of the 10 traditional courtyards located in warm-dry climates of Kashan and cold climates of Ardabil based on shading and sunlit coverage. The modelling process comprises two sections: first, a number of numerical simulations are run using Envi-met software to detail the shading and sunlit percentage, PET and PMV in the samples of interest. These numerical models are validated on the basis of the results made available by field observations. Such validation revealed an excellent agreement between the numerical solution and the benchmarking data. Afterwards, GP is used to evolve some equations for predicting PET and PMV using the data points derived from the numerical simulations. The results suggest that regarding the thermal indices ( PET and PMV ), there is a high correlation between the shadow and sunlit effects and thermal comfort in Kashan's houses in comparison with Ardabil houses. However, in tropical regions (Kashan), summer shading and winter sunlit have a greater effect on thermal comfort and temperature adjustment than cold regions. Moreover, the statistical criterion, as well as reliability analysis and contour plots show that the GP developed formulas can be exploited in predicting the PET and PMV based on the shading percentage.