Abstract
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 ( kW) by a significant amount which reaches ( kW) by ratio about . Reducing energy consumption is one of these important features in addition to system reactivity and user comfort.
Highlights
The rapid growth in energy consumption in Kingdom of Saudi Arabia (KSA) puts continuous strains on the electrical load
The climate in the Kingdom of Saudi Arabia is a desert climate where there is an extreme heat throughout the day; the heat rises very quickly at sunrise and remains so until sunset
In [25], using the Petri Nets (PN), the authors modeled HVAC control systems, in order to analyze the performances of the control system and were able to find the optimal temperature for minimal energy consumption
Summary
The rapid growth in energy consumption in KSA puts continuous strains on the electrical load. In [8], the authors tried to give new modeling of the smart home, to obtain greater flexibility to the user, which results in finer control of movable devices and thermostatic charge temperatures. In order to model and analyze discrete event control systems in smart homes, the authors used PN in [22]. In [25], using the PN, the authors modeled HVAC control systems, in order to analyze the performances of the control system and were able to find the optimal temperature for minimal energy consumption. To reduce energy consumption, a framework for smart temperature control is developed. This framework is based on the use of three different stages. The final section will conclude this work and provide some directions for future works
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