Abstract
Internet of things is providing us numerous ways to improve our quality of experience by using smart cyber-physical infrastructure systems. Also, due to arrival of LED lighting systems, there is the possibility to improve user’s visual comfort at less cost. In our proposed model, by using a fuzzy inference system, used in cyber-physical infrastructure system, we save energy from the heating, ventilation and air conditioning system. This saved energy is used to improve the visual comfort of the user. Simulation results show that considering the visual comfort standard of 500 lux instead of 250 lux results in energy savings and ensures visual comfort. Together with the preservation of thermal comfort increases the overall users’ comfort. Since research confirms that users’ improved comfort results in up to 14% of increased productivity. Our model is unique in the sense that using fuzzy logic, indirectly improved the users’ productivity. By using our fuzzy logic controller on electric equipment, we can achieve improved users’ performance without paying any extra cost.
Highlights
The residential sector is the third-highest energy-consuming sector, and the residential load is estimated to increase by 24% in 2035 [1], [2]
Energy consumption is computed by dividing simulations into two cases: Case I shows the simulations when the illuminance setpoint range for visual comfort is considered from 0 lux to 250 lux for optimal value selection
The first method considered is without controller i.e., a fixed setpoint of 250 lux is maintained using the LED lighting system installed in the family room
Summary
The residential sector is the third-highest energy-consuming sector, and the residential load is estimated to increase by 24% in 2035 [1], [2]. Ventilation, and air conditioning (HVAC) along with refrigerators are categorized under the delay-intolerant with flexible load category These appliances are known as thermostatically controlled appliances because the consumers can change their working state according to the thermal constraints. The lighting system (delay-intolerant with essential load) and HVAC (delay-intolerant with flexible load) are the major contributors to energy consumption in a smart home These appliances are directly related to user comfort [10]. Designing control techniques to minimize the tradeoff between energy consumption and user comfort is required This will improve the overall QoE and increase the productivity of a user in a working environment. Our proposed fuzzy logic controller for HVAC, denoted as (F LCh1), helps in the optimal energy consumption by setting the thermostat setpoints that lie within the thermal comfort zone.
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