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Integrated energy management system employing pre-emptive priority based load scheduling (PEPLS) approach at residential premises

Author

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  • Murugaperumal, Krishnamoorthy
  • Raj, P.Ajay D Vimal

Abstract

Human work has been automated and replaced by various smart appliances at residential buildings with an objective to save time and energy. So, there is a massive upsurge of energy consumption everywhere and in due course, it resulted in increased electrical bills than before. In order to meet the growing utilization of more electricity by consumers at residences, internalization of renewable energy systems are firmly recommended for a better transformation. Hither, the IEMS is principally aiming to truncate the rate of electricity bills to consumers. Likewise, scheduling the usage of smart appliances and implementing load management practices prudently, a peak load reduction can be certainly accomplished by effectively using Solar Power, Batteries and Utility Grid. Already existing TOU tariff is employed in the process along with restructured components and renewable resources to manage the loads of different smart appliances according to their usage priority at different times of a day. This automated system is able to manage multiple heavy loads smartly with the help of renewable energy resources even at peak hours of a day.

Suggested Citation

  • Murugaperumal, Krishnamoorthy & Raj, P.Ajay D Vimal, 2019. "Integrated energy management system employing pre-emptive priority based load scheduling (PEPLS) approach at residential premises," Energy, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:energy:v:186:y:2019:i:c:s0360544219314872
    DOI: 10.1016/j.energy.2019.07.145
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    Citations

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    Cited by:

    1. Bugaje, Bilal & Rutherford, Peter & Clifford, Mike, 2022. "Convenience in a residence with demand response: A system dynamics simulation model," Applied Energy, Elsevier, vol. 314(C).
    2. Sara Ayub & Shahrin Md Ayob & Chee Wei Tan & Saad M. Arif & Muhammad Taimoor & Lubna Aziz & Abba Lawan Bukar & Qasem Al-Tashi & Razman Ayop, 2023. "Multi-Criteria Energy Management with Preference Induced Load Scheduling Using Grey Wolf Optimizer," Sustainability, MDPI, vol. 15(2), pages 1-38, January.

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