Saving Energy by Replacing IM with BLDC Motor in Fan Application

NakuÃ§i, Loreta; Spahiu, Aida

doi:10.24018/ejece.2018.2.5.27

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…The power consumption of BLDC ceiling fans is reduced to 20% at low speeds compared with AC induction ceiling fans [17]. Meanwhile, in another study, replacing induction motors with BLDC motors in fans reduced the power consumption of the fan by up to 35% [18]. Through the measurement of the power consumption of the DC ceiling fans developed locally and commercially available in the market it is found that BLDC ceiling fans also consume 35% less power than the conventional AC induction fans.…”

Section: Introductionmentioning

confidence: 99%

Design and Experimental Results of an AIoT-Enabled, Energy-Efficient Ceiling Fan System

Khan,

Ahmed,

Masud

et al. 2024

Sustainability

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With technological advancements, domestic appliances are leveraging smart technologies for getting smarter through learning from their past usage to enhance user comfort and energy efficiency. Among these, ceiling fans, though widely used in Lower- and Middle-Income Countries (LMICs) in temperate regions, still lack a cohesive system integrating all necessary sensors with a machine learning-based system to optimize their operation for comfort and energy saving and to experimentally verify the performance under different usage scenarios that could transform a high-power-consuming device into an energy-efficient system. Therefore, the present research proposes an experimentally verified and energy-efficient Artificial Intelligence of Things (AIoT)-based system that could be retrofitted with regular DC ceiling fans. An Internet of Things (IoTs) circuit, equipped with an ESP8266 microcontroller, temperature, humidity, and motion sensors, was designed to communicate with a developed Android application and an online dashboard. A total of 123 ceiling fans with the designed IoTs circuit were deployed at various household locations for two years, with manual operations for the first year. In the next year, an auto mode based on the predictions of the machine learning model was introduced. The experimental outcomes showed that the fan with added smart features reduced the energy loss by almost 50% as compared to conventional AC ceiling fans. Consequently, the carbon footprint of the appliances is reduced significantly. A high user-rated acceptability of the system, examined through a standard measure, was also achieved.

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Section: Introductionmentioning

confidence: 99%

Design and Experimental Results of an AIoT-Enabled, Energy-Efficient Ceiling Fan System

Khan,

Ahmed,

Masud

et al. 2024

Sustainability

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“…The modern trend of DC-inverter-based air conditioning systems is also DC in nature, providing energy savings as compared to conventional air conditioning systems [15]. The brushless DC (BLDC) motor is replacing the conventional induction motor in appliances with an added advantage of energy savings [16,17].…”

Section: Introductionmentioning

confidence: 99%

Comparative Efficiency and Sensitivity Analysis of AC and DC Power Distribution Paradigms for Residential Localities

et al. 2022

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The new millennium has witnessed a pervasive shift of trend from AC to DC in the residential load sector. The shift is predominantly due to independent residential solar PV systems at rooftops and escalating electronic loads with better energy saving potential integrated with diminishing prices as well as commercial availability of DC-based appliances. Comprehensive sensitivity analysis considering the real load profile is missing in the present body of knowledge. In order to fill that gap, this paper is an attempt to include a comprehensive sensitivity analysis of the DC distribution system and its simulation-based comparison with its AC counterpart, considering the real load profile. The paper uses the Monte Carlo technique and probabilistic approach to add diversity in residential loads consumption to obtain an instantaneous load profile. Various possible scenarios such as variation of standard deviation from 5% to 20% of mean load value, PV capacity variation from 1000 W to 9000 W, and variation in power electronic converter (PEC) efficiencies are incorporated to make the system realistic as much as possible maintaining a fair comparison between both systems. The paper concludes with the baseline efficiency advantage of 2% to 3% during the day for the case of the DC distribution system as compared to the AC distribution system.

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“…Therefore, the machine should be manufactured with auxiliary winding or shaded pole to prevent this situation in single-phase induction motors [1][2][3]. Shaded pole induction motors are preferred, especially in low-power applications, due to their simple structure, low cost, and direct operation from a single-phase source [4,5]. However, these motors cannot compete with three-phase motors, especially in industrial applications that require high power.…”

Section: Introductionmentioning

confidence: 99%

Performance Optimisation of Single-Phase Variable Reluctance Shaded-Pole Motor

Dalcalı

Akbaba

2022

Teh. glas. (Online)

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Shaded pole induction motors’ theoretical analysis is quite difficult because of the presence of strong harmonic components and the elliptical rotating field. The change of air gap reluctance is affecting the air gap flux distribution and thus the performance of the motor. In the study, the effect of the change in the SPIM’s stator, rotor and squirrel cage on the performance of the motor is analysed by the Finite Element Method. The flux distributions and torque values of the closed-interpoles type and the stator with different interpoles clearances are obtained. The effects of single and double cage structures in the rotor part and the effects of copper and aluminium cage materials in the squirrel cage were analysed. According to the analyses, it was determined that the single cage motor with aluminium cage material exhibited the best torque performance with a torque value of 132.78 mNm.

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Saving Energy by Replacing IM with BLDC Motor in Fan Application

Cited by 7 publications

References 3 publications

Design and Experimental Results of an AIoT-Enabled, Energy-Efficient Ceiling Fan System

Design and Experimental Results of an AIoT-Enabled, Energy-Efficient Ceiling Fan System

Comparative Efficiency and Sensitivity Analysis of AC and DC Power Distribution Paradigms for Residential Localities

Performance Optimisation of Single-Phase Variable Reluctance Shaded-Pole Motor

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