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Load Shifting Implementation in a Laundry Room under Demand Response Program

Authors: Khorram Ghahfarrokhi, Mahsa; Faria, Pedro; Vale, Zita;

Load Shifting Implementation in a Laundry Room under Demand Response Program

Abstract

In order to overcome the consequences of high energy consumption, renewable energy resources advancement, smart grids development, and demand response programs effectiveness should be noticed and surveyed. Regarding the important role of buildings in energy consumption, another important factor is equipping the buildings and houses with automation. For this purpose, this paper presents an optimization algorithm based on demand response program which is concerning about time of use for ancillary service and also is based on energy price in different periods. In the case study of this paper, the power consumption of two washing machines and one dryer are considered to achieve the demand response program goal. Since it is not reasonable to use dryer before washing machines, the sequence of operation cycle of devices is important for the algorithm. The obtained results of the algorithm show the applied load shifting based on energy price, demand response requirements and remuneration.

Country
Portugal
Related Organizations
Keywords

Optimization, Demand response, Demand Response, Time of Use, Load shifting, Rstudio, Buildings

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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