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An Appliance Scheduling System for Residential Energy Management

In this work, an Appliance Scheduling-based Residential Energy Management System (AS-REMS) for reducing electricity cost and avoiding peak demand while keeping user comfort is presented. In AS-REMS, based on the effects of starting times of appliances on user comfort and the user attendance during t...

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Autor principal: Apaydin-Özkan, Hanife
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8126103/
https://www.ncbi.nlm.nih.gov/pubmed/34068625
http://dx.doi.org/10.3390/s21093287
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author Apaydin-Özkan, Hanife
author_facet Apaydin-Özkan, Hanife
author_sort Apaydin-Özkan, Hanife
collection PubMed
description In this work, an Appliance Scheduling-based Residential Energy Management System (AS-REMS) for reducing electricity cost and avoiding peak demand while keeping user comfort is presented. In AS-REMS, based on the effects of starting times of appliances on user comfort and the user attendance during their operations, appliances are divided into two classes in terms of controllability: MC-controllable (allowed to be scheduled by the Main Controller) and user-controllable (allowed to be scheduled only by a user). Use of all appliances are monitored in the considered home for a while for recording users’ appliance usage preferences and habits on each day of the week. Then, for each MC-controllable appliance, preferred starting times are determined and prioritized according to the recorded user preferences on similar days. When scheduling, assigned priorities of starting times of these appliances are considered for maintaining user comfort, while the tariff rate is considered for reducing electricity cost. Moreover, expected power consumptions of user-controllable appliances corresponding to the recorded user habits and power consumptions of MC-controllable appliances corresponding to the assigned starting times are considered for avoiding peak demand. The corresponding scheduling problem is solved by Brute-Force Closest Pair method. AS-REMS reduces the peak demand levels by 45% and the electricity costs by 39.6%, while provides the highest level of user comfort by 88%. Thus, users’ appliance usage preferences are sustained at a lower cost while their comfort is kept impressively.
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spelling pubmed-81261032021-05-17 An Appliance Scheduling System for Residential Energy Management Apaydin-Özkan, Hanife Sensors (Basel) Article In this work, an Appliance Scheduling-based Residential Energy Management System (AS-REMS) for reducing electricity cost and avoiding peak demand while keeping user comfort is presented. In AS-REMS, based on the effects of starting times of appliances on user comfort and the user attendance during their operations, appliances are divided into two classes in terms of controllability: MC-controllable (allowed to be scheduled by the Main Controller) and user-controllable (allowed to be scheduled only by a user). Use of all appliances are monitored in the considered home for a while for recording users’ appliance usage preferences and habits on each day of the week. Then, for each MC-controllable appliance, preferred starting times are determined and prioritized according to the recorded user preferences on similar days. When scheduling, assigned priorities of starting times of these appliances are considered for maintaining user comfort, while the tariff rate is considered for reducing electricity cost. Moreover, expected power consumptions of user-controllable appliances corresponding to the recorded user habits and power consumptions of MC-controllable appliances corresponding to the assigned starting times are considered for avoiding peak demand. The corresponding scheduling problem is solved by Brute-Force Closest Pair method. AS-REMS reduces the peak demand levels by 45% and the electricity costs by 39.6%, while provides the highest level of user comfort by 88%. Thus, users’ appliance usage preferences are sustained at a lower cost while their comfort is kept impressively. MDPI 2021-05-10 /pmc/articles/PMC8126103/ /pubmed/34068625 http://dx.doi.org/10.3390/s21093287 Text en © 2021 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Apaydin-Özkan, Hanife
An Appliance Scheduling System for Residential Energy Management
title An Appliance Scheduling System for Residential Energy Management
title_full An Appliance Scheduling System for Residential Energy Management
title_fullStr An Appliance Scheduling System for Residential Energy Management
title_full_unstemmed An Appliance Scheduling System for Residential Energy Management
title_short An Appliance Scheduling System for Residential Energy Management
title_sort appliance scheduling system for residential energy management
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8126103/
https://www.ncbi.nlm.nih.gov/pubmed/34068625
http://dx.doi.org/10.3390/s21093287
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