TY - CONF AV - none N2 - In recent years, energy consumption has become a critical issue in the developed and developing countries. Residential buildings are one of the most users of energy in the construction sector that use the highest share of energy. This paper aims at evaluating the effect of four factors that are temperature, humidity, airflow and pressure on the cooling load in the residential buildings. To achieve this goal, statistical experimental design is used to determine the optimum setting of factors that result in optimum energy usage. Simulation software and energy analysis is used to simulate a two-storey building in Malaysia as the case of study. Final results showed that the temperature, humidity and interaction between them have the most significant effect on the energy cooling load. Moreover, to obtain the minimum value of cooling load the temperature and humidity should be equal to A=20 Celsius degree and B=60 respectively. In addition, the other two insignificant factors, airflow and pressure should be placed at the high level which are equal to C=3 cubic meters per hour, and D=6 Pascal (P) respectively. © The authors, published by EDP Sciences, 2017. N1 - cited By 0; Conference of 2017 UTP-UMP Symposium on Energy Systems, SES 2017 ; Conference Date: 26 September 2017 Through 27 September 2017; Conference Code:131396 ID - scholars8272 TI - Energy efficient of the residential buildings based climatic condition using experimental design a case study in malaysia KW - Air conditioning; Buildings; Computer software; Construction industry; Developing countries; Energy efficiency; Housing; Statistics KW - Climatic conditions; Construction sectors; Critical issues; Energy efficient; Residential building; Simulation software; Statistical experimental design; Temperature and humidities KW - Energy utilization Y1 - 2017/// PB - EDP Sciences SN - 2261236X A1 - Zahraee, S.M. A1 - Khalaji Assadi, M. A1 - Bayat, S. A1 - Bakhoda, S. UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033214327&doi=10.1051%2fmatecconf%2f201713104010&partnerID=40&md5=77ddb0a4597452b38827faea7295d416 VL - 131 ER -