IoT-Based Prioritized Load Management Technique for PV Battery-Powered Building: Mini Review

Sharan, M. and Das, P. and Malhotra, A. and Karthikeyan, A. and Kannan, R. and Swathika, O.V.G. (2023) IoT-Based Prioritized Load Management Technique for PV Battery-Powered Building: Mini Review. CRC Press, pp. 275-280. ISBN 9781000909777; 9781032362816

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Abstract

The need of the hour is to come up with sustainable power supply systems. A demand-side load management strategy is necessary for regulating loads within a residential structure in such a way that user satisfaction is maximized while costs are kept to a minimum. We aim to provide an energy-oriented production control method that treats electrical energy as a restricted production capacity with specified load profiles for manufacturing. This energy-oriented production control tries to match manufacturing energy demand with a limited energy supply, lowering energy expenditures. It looks into the significance of adaptive power utilization coupled with IoT technology and data analytics. The adaptive power system paves way for an intelligent real-time interaction platform of power utilization. This improves the sustainability, stability and reliability of power supply. Internet of Things (IoT) technology, with its reliable communication and strong data processing, can effectively improve the adaptive power utilization. Photovoltaics (PVs) is playing a growing role in electricity industry around the world, while Battery Energy Storage Systems are falling in cost and starting to be deployed by energy consumers with PVs. Apartment buildings offer an opportunity to apply central battery storage and shared solar generation to aggregated apartment and common loads through an embedded network or microgrid. We aim to have a hybrid consumption setup which smartly couples the existing power consumption setup with an in-demand and reliable PV energy-based power consumption setup to ensure power for all. © 2024 selection and editorial matter, O. V. Gnana Swathika, K. Karthikeyan and Sanjeevikumar Padmanaban.

Item Type: Book
Impact Factor: cited By 0
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 17 Oct 2023 03:10
Last Modified: 17 Oct 2023 03:10
URI: http://scholars.utp.edu.my/id/eprint/37686

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