This study aims to rank the design factors of smart buildings with efficient energy management systems and renewable resources. The research is applied in nature in terms of its objective, and descriptive-survey-based in terms of data collection. The study population comprised all academic faculty members in the field of architecture. Based on the collected information, approximately 112 architecture faculty members were included, and given the small sample size, a census approach was used, meaning the sample size was equal to the population. After distributing and collecting the questionnaires, 93 were completed and analyzed. A researcher-made questionnaire was employed, consisting of two sections: the first included personal details (age, gender, marital status, education, etc.), and the second was dedicated to ranking the design factors of smart buildings with efficient energy management systems and renewable resources. The questionnaire was structured on a 7-point Likert scale. To ensure the face and content validity of the questions, feedback was obtained from several architecture professors specializing in the field. Additionally, the construct validity of the questionnaire was confirmed through exploratory factor analysis. The results showed that six factors had eigenvalues greater than one and remained in the analysis. The study found that among the design factors examined, the lighting system, fire alarm system, and temperature and humidity sensors emerged as the most influential in enhancing smart building efficiency.
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