Quantifying demand-side management in sustainable grid networks by industrial load flexibility with variable inertia flywheel induction motors

• The prospective for power savings in induction motors equipped with variable inertia flywheels (VIF) is evaluated. • A performance analysis is performed on a prototype model featuring induction motors with VIF. • The impact of large-scale deployment of induction motors with VIF systems within industrial settings is assessed using the IEEE 33-bus system. • Prospects to enhance demand-side management (DSM) capabilities are explored by extending the setup with residential sectors. The load flexibility of industrial induction motor is explored considering energy reduction strategies. The usage of a spinning flywheel with an adjustable moment of inertia is suggested in this paper to increase energy efficiency. A variable inertia flywheel (VIF) is presented in this work to regulate rotational speed and lower power consumption. A few articles recently have examined how the flywheel affects electric motor performance and energy usage. The creation of a prototype is used to assess the efficacy of the proposed VIF. To verify the system's efficacy, experiments are conducted. A 33-bus sustainable grid is taken into consideration to assess the overall reduction in power usage in an industrial context. The analytical study aims to evaluate the impact of using industrial induction motors with VIF as demand side management (DSM) on total power consumption. The examination of power reduction and grid optimization across a sustainable IEEE 33 bus grid network is the main topic of the research. The results show how VIF may be used to lower overall energy usage for demand-side control in a sustainable grid.

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Publication Details

Journal
e-Prime - Advances in Electrical Engineering Electronics and Energy
Published
2024-12-29
DOI
https://doi.org/10.1016/j.prime.2024.100890
Citations
5
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.64
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article

Quantifying demand-side management in sustainable grid networks by industrial load flexibility with variable inertia flywheel induction motors

Syed Munimus Salam, Muhammad Mahbubur Rashid, Nur Mohammad
5 citations
e-Prime - Advances in Electrical Engineering Electronics and Energy
Microgrid Control and Optimization
1.64
article

Quantifying demand-side management in sustainable grid networks by industrial load flexibility with variable inertia flywheel induction motors

Syed Munimus Salam, Muhammad Mahbubur Rashid, Nur Mohammad
article en
5 citations

Abstract

• The prospective for power savings in induction motors equipped with variable inertia flywheels (VIF) is evaluated. • A performance analysis is performed on a prototype model featuring induction motors with VIF. • The impact of large-scale deployment of induction motors with VIF systems within industrial settings is assessed using the IEEE 33-bus system. • Prospects to enhance demand-side management (DSM) capabilities are explored by extending the setup with residential sectors. The load flexibility of industrial induction motor is explored considering energy reduction strategies. The usage of a spinning flywheel with an adjustable moment of inertia is suggested in this paper to increase energy efficiency. A variable inertia flywheel (VIF) is presented in this work to regulate rotational speed and lower power consumption. A few articles recently have examined how the flywheel affects electric motor performance and energy usage. The creation of a prototype is used to assess the efficacy of the proposed VIF. To verify the system's efficacy, experiments are conducted. A 33-bus sustainable grid is taken into consideration to assess the overall reduction in power usage in an industrial context. The analytical study aims to evaluate the impact of using industrial induction motors with VIF as demand side management (DSM) on total power consumption. The examination of power reduction and grid optimization across a sustainable IEEE 33 bus grid network is the main topic of the research. The results show how VIF may be used to lower overall energy usage for demand-side control in a sustainable grid.

e-Prime - Advances in Electrical Engineering Electronics and EnergyVol. 11
Chittagong University of Engineering & Technology (BD), International Islamic University Malaysia (MY), University of Science and Technology Chittagong (BD)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Microgrid Control and Optimization
1.64
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