Most people target only lights when they think about electricity savings. Compared to lights that are switched on only in the evening, ceiling fans are on for most part of the day and even during night. The total number of hours that the fan is in operation is proportional to the energy consumption of the fan. Ceiling fans are one of the main energy consuming sources. We are facing the energy crisis, it is important to reduce the energy consumption in every energy consuming device. Hence energy reduction in ceiling fan is perhaps one of the most important parameter. Every energy reduction process starts with identification of energy consumption sources. Ceiling fans are extensively used to create an indoor breeze, improve the space air distribution and hence enhance the feeling of comfort. The fan speed, number of blades, and downrod length all play an important role in deciding the energy consumption. In this study, response surface methodology is used to predict energy consumption characteristics. The experiments were conducted to develop mathematical model based on different fans, number of blades, room volume, downrod lengths and fan speeds. This paper will help to find out the optimum level of parameters to minimize the energy consumption.   

Most people target only lights when they think about electricity savings. Compared to lights that are switched on only in the evening, ceiling fans are on for most part of the day and even during night. The total number of hours that the fan is in operation is proportional to the energy consumption of the fan. Ceiling fans are one of the main energy consuming sources. We are facing the energy crisis, it is important to reduce the energy consumption in every energy consuming device. Hence energy reduction in ceiling fan is perhaps one of the most important parameter. Every energy reduction process starts with identification of energy consumption sources. Ceiling fans are extensively used to create an indoor breeze, improve the space air distribution and hence enhance the feeling of comfort. The fan speed, number of blades, and downrod length all play an important role in deciding the energy consumption. In this study, response surface methodology is used to predict energy consumption characteristics. The experiments were conducted to develop mathematical model based on different fans, number of blades, room volume, downrod lengths and fan speeds. This paper will help to find out the optimum level of parameters to minimize the energy consumption.   Most people target only lights when they think about electricity savings. Compared to lights that are switched on only in the evening, ceiling fans are on for most part of the day and even during night. The total number of hours that the fan is in operation is proportional to the energy consumption of the fan. Ceiling fans are one of the main energy consuming sources. We are facing the energy crisis, it is important to reduce the energy consumption in every energy consuming device. Hence energy reduction in ceiling fan is perhaps one of the most important parameter. Every energy reduction process starts with identification of energy consumption sources. Ceiling fans are extensively used to create an indoor breeze, improve the space air distribution and hence enhance the feeling of comfort. The fan speed, number of blades, and downrod length all play an important role in deciding the energy consumption. In this study, response surface methodology is used to predict energy consumption characteristics. The experiments were conducted to develop mathematical model based on different fans, number of blades, room volume, downrod lengths and fan speeds. This paper will help to find out the optimum level of parameters to minimize the energy consumption.