Estimation of Standby Power Consumption for Typical Appliances

Raj, P. Ajay -D- Vimal; Sudhakaran, M.; Raj, P. P. Nikhil

doi:10.25103/jestr.021.26

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…Weight of the cast metal in each experiment is recorded. Power consumed for melting of bulk non-ferrous metals in both MWM and CM is calculated using the relation (1) [26]. Energy consumption for melting of metals by CM with respect to MWM is presented.…”

Section: Methodsmentioning

confidence: 99%

Melting of bulk non-ferrous metallic materials by microwave hybrid heating (MHH) and conventional heating: a comparative study on energy consumption

Lingappa¹,

Srinath²,

Amarendra³

2017

J Braz. Soc. Mech. Sci. Eng.

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Foundry industries aim at reducing energy consumption in processing of materials. Continuous efforts are ongoing to exploit unconventional energy sources such as microwave energy to overcome drawbacks of conventional sources. In the present work, a comparative study of electrical energy consumption during melting of known quantity of metallic material in microwave oven and in conventional muffle electric furnace is carried out. The non-ferrous bulk metallic materials such as tin, zinc, aluminum and brass are used as candidate materials. A 900-W modified domestic microwave oven, operating at 2.45 GHz and a conventional muffle furnace are used for the study. The electrical energy consumed for melting of known quantity of metallic materials is presented along with the observed material wastage during melting process. The study shows that microwave oven consumes significantly lesser time than the conventional muffle electric furnace for the melting of known quantity of candidate materials. It is found that melting bulk metallic materials by microwave irradiation reduces electrical energy consumption than that of conventional melting process. In addition, material wastage is around twofold lesser by microwave melting process than the conventional melting process for the known quantity of candidate materials.

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Section: Methodsmentioning

confidence: 99%

Melting of bulk non-ferrous metallic materials by microwave hybrid heating (MHH) and conventional heating: a comparative study on energy consumption

Lingappa¹,

Srinath²,

Amarendra³

2017

J Braz. Soc. Mech. Sci. Eng.

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“…It is estimated that redesigning appliance circuits can reduce standby power consumption up to 90 per cent [1]. Turn off (no standby mode) TV and modem can save 15% and 50% of electricity respectively [14].…”

Section: ) Solutionmentioning

confidence: 99%

Improve Electricity Efficiency by Applying TRIZ

Swee¹,

Yip²,

Keong³

et al. 2015

JOCET

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Abstract-This paper aims to provide a systematic analysis by applying TRIZ to reduce the consumption of household electricity, and nonetheless it does not demote the quality of living. TRIZ tools such as defining engineering system, function analysis, cause and effect chain analysis and contraction matrix are applied in order to discover some feasible and elegant solutions to alleviate the problem. Findings revealed that the problems of high household electricity consumption are owing to the wastage of electricity due to the ignorance behavior, poor layout design of the house, stand-by mode "leak" of electrical appliances and high electricity consumption from old electronic products. The root causes and contradictions are solved by applying contradiction matrix, and inventive principles are recommended, i.e., segmentation, copying, preliminary action, dynamization, intermediary, and parameter changes. Therefore, it can be concluded that TRIZ is a systematic and innovative tool in problem solving.

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“…Many users do not know that their electric appliance is still consuming electric power in standby mode. Although some of the appliances do not have the standby mode, when connected to the power supply without performing any operation small amounts of energy are still lost (Ajay-D-Vimal Raj, Sudhakaran & Philomen-D-Anand Raj, 2009).…”

Section: Introductionmentioning

confidence: 99%

Disaggregation of House Electricity Consumption Using Particle Swarm Optimization

LIN¹,

RAZALI²,

Daud³

2021

UMT JUR

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This paper presents disaggregation of appliances' energy consumption for a residential house using Particle Swarm Optimization (PSO). The disaggregation process provides useful information about the time and duration of each appliance on when they are switched on, which can contribute to close monitoring of appliance activities in a house. Firstly, the data of aggregated electricity loads comprising six different appliances is measured and plotted based on total power (P total ) over time. The data is then formulated based on combinatorial optimization (CO) problem which represents the load disaggregation model that contains the sum power of all six appliances when they are switched on. The CO problem is solved by using PSO by setting up the population of particles to represent each appliance. The random number of each population is generated based on appliance's power state when switched on, where the total appliances power (P app ) is represented as the sum of all six particles data. Thus, by using the known value of appliance on state as optimization boundary parameters, the CO problem is evaluated by PSO following the Integral Squared Error (ISE) minimization problem of P total and P app . The optimization results give good convergence criteria with accurate percentage of time taken for every appliance in use.

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Estimation of Standby Power Consumption for Typical Appliances

Cited by 6 publications

References 1 publication

Melting of bulk non-ferrous metallic materials by microwave hybrid heating (MHH) and conventional heating: a comparative study on energy consumption

Melting of bulk non-ferrous metallic materials by microwave hybrid heating (MHH) and conventional heating: a comparative study on energy consumption

Improve Electricity Efficiency by Applying TRIZ

Disaggregation of House Electricity Consumption Using Particle Swarm Optimization

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