Room energy demand and thermal comfort predictions in early stages of design based on the Machine Learning methods

Recent studies have focused on data-driven methods for building energy efficiency, by using simulated or empirical data, for energy-based design assessment rather than the common physics-based techniques, which are mostly time-consuming. In this paper, the feasibility of using seven different Machine Learning models, including three single...

Dwelling on Courtyards: Exploring the energy efficiency and comfort potential of courtyards for dwellings in the Netherlands

The urban heat island (UHI) phenomenon and the dependency of buildings on fossil fuels were the two main issues that formed this dissertation. UHI results in higher air temperatures in dense urban areas compared with their suburbs and rural surroundings. This phenomenon affects human health through thermal discomfort and air pollution....

Bioclimatic design in Türkiye: A comparison of the traditional with the contemporary

Emphasizing the impact of bioclimatic design elements on the energy performance of dwellings, this paper aims at comparing traditional houses with the contemporary to learn from the past experiences and implement them in new design practice. This paper’s focus is on the architectural design phase. Significant design elements mentioned in the...