Estimation of Standby Power Consumption for Typical Appliances

Nearly all modern domestic appliances used in typical homes consume some energy when they are left on standby mode or even switched off. I investigated the variation in standby power consumption in five homes in Korça city. The typical standby energy loss for studied homes ranged from 8–115 W, with an average of 37 W. This corresponded to 3%-20% of the homes annual electricity use. This loss and the associated cost are not high enough to get noticed by the consumer. However, when such power losses of all domestic appliances are aggregated at the level of a country, the amount becomes significant and cannot be ignored. The appliances with the largest standby losses were coffee machines, televisions, set-top boxes and printers. They account for a significant proportion of the electricity consumption in more and more Albanian households. The wide variation in the standby power of appliances providing the same benefits indicates that producers are able to reduce standby losses without degrading performance. The standby power consumption of various domestic appliances was determined using an energy smart meter and data-logger connected with a computer. The purpose of this paper is to estimate how much power is wasted in a typical Albanian home due to household appliances being in the standby mode.

Nearly all modern domestic appliances used in typical homes consume some energy when they are left on standby mode or even switched off. I investigated the variation in standby power consumption in five homes in Korça city. The typical standby energy loss for studied homes ranged from 8–115 W, with an average of 37 W. This corresponded to 3%-20% of the homes annual electricity use. This loss and the associated cost are not high enough to get noticed by the consumer. However, when such power losses of all domestic appliances are aggregated at the level of a country, the amount becomes significant and cannot be ignored. The appliances with the largest standby losses were coffee machines, televisions, set-top boxes and printers. They account for a significant proportion of the electricity consumption in more and more Albanian households. The wide variation in the standby power of appliances providing the same benefits indicates that producers are able to reduce standby losses without degrading performance. The standby power consumption of various domestic appliances was determined using an energy smart meter and data-logger connected with a computer. The purpose of this paper is to estimate how much power is wasted in a typical Albanian home due to household appliances being in the standby mode.

Nearly all modern domestic appliances used in typical homes consume some energy when they are left on standby mode or even switched off. I investigated the variation in standby power consumption in five homes in Korça city. The typical standby energy loss for studied homes ranged from 8–115 W, with an average of 37 W. This corresponded to 3%-20% of the homes annual electricity use. This loss and the associated cost are not high enough to get noticed by the consumer. However, when such power losses of all domestic appliances are aggregated at the level of a country, the amount becomes significant and cannot be ignored. The appliances with the largest standby losses were coffee machines, televisions, set-top boxes and printers. They account for a significant proportion of the electricity consumption in more and more Albanian households. The wide variation in the standby power of appliances providing the same benefits indicates that producers are able to reduce standby losses without degrading performance. The standby power consumption of various domestic appliances was determined using an energy smart meter and data-logger connected with a computer. The purpose of this paper is to estimate how much power is wasted in a typical Albanian home due to household appliances being in the standby mode.

This purpose of this study is to investigate the standby power consumption behaviors of live-alones. The research was performed by a survey that included general demographic characteristics like age, gender, and type of housing, and electrical energy consumption factors to analyze the standby power consumption of single-person households. Analyses were performed to find power consumption characteristics by households including the ratio of standby power consumption to total electrical energy consumption and respective waiting time and standby power consumption for each electrical appliance. In addition, the actual practice of plugging/unplugging, which in one of the consuming behaviors that directly affects standby power consumption, was investigated. Finally, the correlation of the amount of standby power and 8 consumption factors including: house size, time spent at home, number of appliances, plugging ration of electrical appliances, and 4 other factors categorized by the use of appliances. Here is the summary of the analysis results. Firstly, average standby power consumption of single-member households accounted for 6.1% of overall monthly electricity consumption. Secondly, the significant factors affecting standby power of single-person households proved to be ‘number of appliances’, ‘plugging ratio’, and ‘size of the house’. Lastly, we divided respondents of questionnaire into two groups; one was those who consumed standby power more than average and the other was those consuming standby power less than average. Three variables, video, fax and dishwasher impact on standby power consumption in the first group and three variables, computer, monitor and Vacuum influence on standby power consumption in the second group. In terms of correlation test, the Video turned out to be one of the most important variables determining standby consumption in the first group. In the second group, computer and monitor were the most important variables determining standby consumption. This study is believed to have verified that standby power saving contributes significantly to total electrical energy savings of households.

This research work contains the study of total standby power consumption in the College of Science and Technology campus. Research was carried out in three phases: survey, measurement of standby power consumption, and mathematical calculation of energy losses due to standby power consumption. Measurements were carried out for various appliances consuming standby power in the campus. Measurement results showed poor power factors at standby mode. Over the survey, laptops were found to be the major appliance in common and maximum in number in the campus. Different brands of laptops and other appliances consuming standby power were measured. This particular research, first of its kind in Bhutan, attempts to explore the amount of standby power consumed and tries to create public awareness on its impact individually and globally.

Standby power consumption often takes place unnoticeably, the negligence of which often leads to intangible energy waste. Although there have been several studies related to this issue, no method has been developed to estimate the amount of power consumed this way by analyzing users' power consumption data. Therefore, this paper, based on findings of previous researches and users' power consumption data, proposes an innovative model to characterize users' standby power consumption. Firstly, by considering power data as continuous signal, standby power consumption is estimated by using frequency analysis and high frequency denoising model. Furthermore, Signal decomposition analysis has also been implemented as well as the conduction of rigorous mathematical derivation to get the average standby power based on thousands of power consumption data from Chinese users. Finally, results show that this method successfully separates standby power from the whole consumption dataset. Users are divided into four types based on the distribution of standby mode and nominal mode.

Standby electricity consumption and saving potentials of Turkish households

Measuring the use of residential standby power in Taiwan

This paper further enhances our previous research into reducing the standby power consumption of electric home appliances. Turned-off electric home appliances generally still require standby power when they are plugged in. We present a way to reduce the standby power of a socket. Our socket supplies the appliances with power when the user turns them on. When the user turns them off, our socket shuts the electric power off and thus reduces the standby power. Our design, which uses an MCU, receives signals from a PIR sensor which detects the user approaching the socket. The MCU controls the SSR On/Off when used as an appliance switch for shutting off the standby power. A load current sensor circuit provides a signal to the MCU to keep the SSR on until the appliance has finished its work. The MCU monitoring program provides both automatic detection of the user by the PIR sensor and detection of load current. The MCU has internal modules to simplify the hardware circuit design. The circuit component count, cost and power consumption are less than those of our previous design. The standby power consumption of an appliance with our new design is 7 mW.

Measurements of whole-house standby power consumption in California homes

Electric appliances consume electricity when they are in standby mode and sometimes even in off-mode. These of each appliance individually are not large but the sum over all appliances is no longer negligible. The standby losses of ten households are investigated. The standby power varies from 7 to 134 W and has an average of 40 W. The standby consumption is on average 274 kWh/year, representing 8% of the yearly consumption of an average household. With the 1-Watt plan, it is possible to reduce the standby losses to a significantly lower level. Other possibilities to reduce the standby power are standards and technology improvement.

Electronics play an increasingly pervasive role in home appliances and office equipment. This is generally a good thing because the electronics help provide new features and amenities. Electronic controls can also reduce energy use by providing the services only when consumers actually need them. On the other hand, these electronic features often continue to consume energy even while switched off or not performing their principal service. The technical term for this phenomenon is ''standby power consumption'' but it has acquired several common names, including ''leaking electricity,'' ''waiting electricity,'' ''free-running power,'' ''off-mode power,'' and ''phantom loads.'' The leaking electricity found in our televisions, VCRs, garage door openers, cordless phones and many other appliances has a surprisingly large impact on the global environment.

In recent years, the increment of distributed electricity generation based on renewable energy sources and improvement of communication technologies have caused the development of next-generation power grids known as smart grids. The structures of smart grids have bidirectional communication capability and enable the connection of energy generated from distributed sources to any point on the grid. They also support consumers in energy efficiency by creating opportunities for management of power consumption. The information on power consumption and load profiles of home appliances is essential to perform load management in the dwelling accurately. In this study, the power consumption data for all the basic home appliances, utilized in a two-person family in Çankırı, Turkey, was obtained with high resolution in one-second intervals. The detailed power consumption analysis and load profile were executed for each home appliance. The obtained data is not only the average power consumption of each appliance but also characterizes different operating modes or their cycles. In addition, the impact of these devices on home energy management studies and their standby power consumptions were also discussed. The acquired data is an important source to determine the load profile of individual home appliances precisely in home energy management studies. Although the results of this study do not completely reflect the energy consumption behavior of the people who live in this region, they can reveal the trends in load demands based on a real sample and customer consumption behavior of a typical two-person family.

These days, the environments impact of energy consumed by electrical appliances when not in use has attracted growing attention in the international community. This paper reviews advantages and limitations of conventional techniques to reduce the standby power consumption. Based on the analysis, new technique to reduce standby power is proposed. The proposed approach reduces the effective switching frequency as well as the operating current to minimize the switching losses and PWM controller power consumption alike. The output voltage is also reduced to minimize the loss caused by the leakage current in the output side. The proposed scheme is implemented as an integrated circuit (IC) providing a viable low cost solution for a low standby power consumption

The wireless sensor network (WSN) is a promising technology for monitoring infrastructures, industrial structures, home security, industrial security, elderly people, and so on. An attractive characteristic of the WSN is to be easily installed to the conventional places by using the battery driven sensor nodes. The equipment cost is rather cheap since the heavy constructing work for wiring the power rails is not needed. On the other hand, the management cost to change the batteries attached to many sensor nodes may be large. Conventional researches have reduced the power consumption of the WSN, i.e. extended the battery life, to reduce such management cost. Some of them have attempted to make the sensor node stay at the standby mode as much as possible, and to reduce the standby power consumption. In contrast to reduce the standby power, we have proposed the sensor node that completely eliminates the standby power consumption. However, the proposed sensor node wakes up from the status without any power, while the conventional node wakes up from the status with some power even if the standby current is very small. That is, the wake-up time of the proposed sensor node may become longer than the conventional node. The longer the wake-up time, the larger the power consumption. This time duration may affect to the power consumption of the WSN when using the proposed sensor nodes. This paper extends the traditional equations for the battery life estimation to our sensor node in order to perform an initial trade-off quickly by using simple equations in an early stage of the development. The estimation calculates the battery life considering the wakeup time by using the measured parameters. As a result of the estimation, it is shown that the our proposal can realize the attractive WSN applications with a long battery life by greatly reducing the power consumption compared with the conventional sensor nodes.