Sequential Tasks Shifting for Participation in Demand Response Programs

In this paper, the proposed methodology minimizes the electricity cost of a laundry room by means of load shifting. The laundry room is equipped with washing machines, dryers, and irons. Additionally, the optimization model handles demand response signals, respecting user preferences while providing...

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Main Authors: Mahsa Khorram, Pedro Faria, Zita Vale, Carlos Ramos
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/18/4879
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spelling doaj-270b45d1374b49bcb0a0810ebec745122020-11-25T03:23:10ZengMDPI AGEnergies1996-10732020-09-01134879487910.3390/en13184879Sequential Tasks Shifting for Participation in Demand Response ProgramsMahsa Khorram0Pedro Faria1Zita Vale2Carlos Ramos3GECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, IPP—Polytechnic Institute of Porto, Rua DR. Antonio Bernardino de Almeida, 431, 4200-072 Porto, PortugalGECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, IPP—Polytechnic Institute of Porto, Rua DR. Antonio Bernardino de Almeida, 431, 4200-072 Porto, PortugalIPP—Polytechnic Institute of Porto, Rua DR. Antonio Bernardino de Almeida, 431, 4200-072 Porto, PortugalGECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, IPP—Polytechnic Institute of Porto, Rua DR. Antonio Bernardino de Almeida, 431, 4200-072 Porto, PortugalIn this paper, the proposed methodology minimizes the electricity cost of a laundry room by means of load shifting. The laundry room is equipped with washing machines, dryers, and irons. Additionally, the optimization model handles demand response signals, respecting user preferences while providing the required demand reduction. The sequence of devices operation is also modeled, ensuring correct operation cycles of different types of devices which are not allowed to overlap or have sequence rules. The implemented demand response program specifies a power consumption limit in each period and offers discounts for energy prices as incentives. In addition, users can define the required number of operations for each device in specific periods, and the preferences regarding the operation of consecutive days. In the case study, results have been obtained regarding six scenarios that have been defined to survey about effects of different energy tariffs, power limitations, and incentives, in a laundry room equipped with three washing machines, two dryers, and one iron. A sensitivity analysis of the power consumption limit is presented. The results show that the proposed methodology is able to accommodate the implemented scenario, respecting user preferences and demand response program, minimizing energy costs. The final electricity price has been calculated for all scenarios to discuss the more effective schedule in each scenario.https://www.mdpi.com/1996-1073/13/18/4879demand responseelectricity tariffsload shiftingload schedulingtime of use
collection DOAJ
language English
format Article
sources DOAJ
author Mahsa Khorram
Pedro Faria
Zita Vale
Carlos Ramos
spellingShingle Mahsa Khorram
Pedro Faria
Zita Vale
Carlos Ramos
Sequential Tasks Shifting for Participation in Demand Response Programs
Energies
demand response
electricity tariffs
load shifting
load scheduling
time of use
author_facet Mahsa Khorram
Pedro Faria
Zita Vale
Carlos Ramos
author_sort Mahsa Khorram
title Sequential Tasks Shifting for Participation in Demand Response Programs
title_short Sequential Tasks Shifting for Participation in Demand Response Programs
title_full Sequential Tasks Shifting for Participation in Demand Response Programs
title_fullStr Sequential Tasks Shifting for Participation in Demand Response Programs
title_full_unstemmed Sequential Tasks Shifting for Participation in Demand Response Programs
title_sort sequential tasks shifting for participation in demand response programs
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-09-01
description In this paper, the proposed methodology minimizes the electricity cost of a laundry room by means of load shifting. The laundry room is equipped with washing machines, dryers, and irons. Additionally, the optimization model handles demand response signals, respecting user preferences while providing the required demand reduction. The sequence of devices operation is also modeled, ensuring correct operation cycles of different types of devices which are not allowed to overlap or have sequence rules. The implemented demand response program specifies a power consumption limit in each period and offers discounts for energy prices as incentives. In addition, users can define the required number of operations for each device in specific periods, and the preferences regarding the operation of consecutive days. In the case study, results have been obtained regarding six scenarios that have been defined to survey about effects of different energy tariffs, power limitations, and incentives, in a laundry room equipped with three washing machines, two dryers, and one iron. A sensitivity analysis of the power consumption limit is presented. The results show that the proposed methodology is able to accommodate the implemented scenario, respecting user preferences and demand response program, minimizing energy costs. The final electricity price has been calculated for all scenarios to discuss the more effective schedule in each scenario.
topic demand response
electricity tariffs
load shifting
load scheduling
time of use
url https://www.mdpi.com/1996-1073/13/18/4879
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AT zitavale sequentialtasksshiftingforparticipationindemandresponseprograms
AT carlosramos sequentialtasksshiftingforparticipationindemandresponseprograms
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