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The major focus of this work is on the impact of both the temperature and humidity variations on the air conditioning load model characteristics based on field measurements. A typical residential house was used for experimental investigation and data collection for the segregated residential air conditioner load. Important field data has been collected for several hot and humid consecutive months covering a wide range of outdoor temperatures and humidity. The Simulated Annealing (SA) method based on the Monte Carlo technique for finding solutions to optimization problems was used for data analysis and model shaping. The SA algorithm has been implemented to find the best model for the AC load by finding the optimal estimates of the proposed AC load model parameters. The mathematical model developed in this paper was successful in reproducing the experimental testing data with a very good degree of accuracy. The model reached was found to adequately represent the effect of humidity and temperature on the AC load. The nonlinear relationship between humidity, temperature, and real power demand is consistent through all temperature and humidity ranges. [ABSTRACT FROM AUTHOR]

Abstract: In harsh climatic regions, buildings require air-conditioning in order to provide an acceptable level of thermal comfort. In many situations buildings are over cooled or the HVAC system is kept running for a much longer time than needed. In some other situations thermal comfort is not achieved due to improper operation practices coupled with poor maintenance and even lack it, and consequently inefficient air-conditioning systems. Mosques represent one type of building that is characterized by their unique intermittent operating schedule determined by prayer times, which vary continuously according to the local solar time. This paper presents the results of a study designed to monitor energy use and thermal comfort conditions of a number of mosques in a hot-humid climate so that both energy efficiency and the quality of thermal comfort conditions especially during occupancy periods in such intermittently operated buildings can be assessed accurately. [Copyright &y& Elsevier]

Energy consumption is steadily increasing in the Kingdom of Saudi Arabia (KSA), which imposes continuous strains on the electrical load. Furthermore, consumption rationalization measures do not seem to improve the situation in any way. Therefore, the implementation of energy saving policies become an urgent need. This paper targets developing a smart energy-saving framework for integrating new advanced technologies and conventional Air Conditioning (AC) systems to achieve a comfortable environment, optimum energy efficiency and profitability. In this paper, a three-stage smart control framework, which allows controlling room temperature according to the user's preferences, is implemented. The first stage is a user identification process. In the second stage, a Petri Nets (PN) model monitors users and sends their preferred temperatures to the third stage. A PID controller is implemented in the third stage to regulate room temperatures. The interconnected sensing and actuating devices in this smart environment are configured to provide users with comfort and energy saving functionality. Experimental results show the good performances and features of the proposed approach. The proposed smart framework reduces the energy consumption of the current ON/OFF controller ( 219.09 kW) by a significant amount which reaches ( 116.58 kW) by ratio about 46.79 % . Reducing energy consumption is one of these important features in addition to system reactivity and user comfort. [ABSTRACT FROM AUTHOR]