A Thermal Discomfort Index for Demand Response Control in Residential Water Heaters

Demand-response techniques are crucial for providing a proper quality of service under the paradigm of smart electricity grids. However, control strategies may perturb and cause discomfort to clients. This article proposes a methodology for defining an index to estimate the discomfort associated wit...

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Autores principales:	Rodrigo Porteiro, Juan Chavat, Sergio Nesmachnow
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	demand response smart grid discomfort index water heaters thermal model computational intelligence Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/e584ea1d6286457481456994dca73349
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spelling	oai:doaj.org-article:e584ea1d6286457481456994dca733492021-11-11T15:07:34ZA Thermal Discomfort Index for Demand Response Control in Residential Water Heaters10.3390/app1121100482076-3417https://doaj.org/article/e584ea1d6286457481456994dca733492021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10048https://doaj.org/toc/2076-3417Demand-response techniques are crucial for providing a proper quality of service under the paradigm of smart electricity grids. However, control strategies may perturb and cause discomfort to clients. This article proposes a methodology for defining an index to estimate the discomfort associated with an active demand management consisting of the interruption of domestic electric water heaters. Methods are applied to build the index include pattern detection for estimating the water utilization using an Extra Trees ensemble learning method and a linear model for water temperature, both based on analysis of real data. In turn, Monte Carlo simulations are applied to calculate the defined index. The proposed approach is evaluated over one real scenario and two simulated scenarios to validate that the thermal discomfort index correctly models the impact on temperature. The simulated scenarios consider a number of households using water heaters to analyze and compare the thermal discomfort index for different interruptions and the effect of using different penalty terms for deviations of the comfort temperature. The obtained results allow designing a proper management strategy to fairly decide which water heaters should be interrupted to guarantee the lower discomfort of users.Rodrigo PorteiroJuan ChavatSergio NesmachnowMDPI AGarticledemand responsesmart griddiscomfort indexwater heatersthermal modelcomputational intelligenceTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10048, p 10048 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	demand response smart grid discomfort index water heaters thermal model computational intelligence Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	demand response smart grid discomfort index water heaters thermal model computational intelligence Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Rodrigo Porteiro Juan Chavat Sergio Nesmachnow A Thermal Discomfort Index for Demand Response Control in Residential Water Heaters
description	Demand-response techniques are crucial for providing a proper quality of service under the paradigm of smart electricity grids. However, control strategies may perturb and cause discomfort to clients. This article proposes a methodology for defining an index to estimate the discomfort associated with an active demand management consisting of the interruption of domestic electric water heaters. Methods are applied to build the index include pattern detection for estimating the water utilization using an Extra Trees ensemble learning method and a linear model for water temperature, both based on analysis of real data. In turn, Monte Carlo simulations are applied to calculate the defined index. The proposed approach is evaluated over one real scenario and two simulated scenarios to validate that the thermal discomfort index correctly models the impact on temperature. The simulated scenarios consider a number of households using water heaters to analyze and compare the thermal discomfort index for different interruptions and the effect of using different penalty terms for deviations of the comfort temperature. The obtained results allow designing a proper management strategy to fairly decide which water heaters should be interrupted to guarantee the lower discomfort of users.
format	article
author	Rodrigo Porteiro Juan Chavat Sergio Nesmachnow
author_facet	Rodrigo Porteiro Juan Chavat Sergio Nesmachnow
author_sort	Rodrigo Porteiro
title	A Thermal Discomfort Index for Demand Response Control in Residential Water Heaters
title_short	A Thermal Discomfort Index for Demand Response Control in Residential Water Heaters
title_full	A Thermal Discomfort Index for Demand Response Control in Residential Water Heaters
title_fullStr	A Thermal Discomfort Index for Demand Response Control in Residential Water Heaters
title_full_unstemmed	A Thermal Discomfort Index for Demand Response Control in Residential Water Heaters
title_sort	thermal discomfort index for demand response control in residential water heaters
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e584ea1d6286457481456994dca73349
work_keys_str_mv	AT rodrigoporteiro athermaldiscomfortindexfordemandresponsecontrolinresidentialwaterheaters AT juanchavat athermaldiscomfortindexfordemandresponsecontrolinresidentialwaterheaters AT sergionesmachnow athermaldiscomfortindexfordemandresponsecontrolinresidentialwaterheaters AT rodrigoporteiro thermaldiscomfortindexfordemandresponsecontrolinresidentialwaterheaters AT juanchavat thermaldiscomfortindexfordemandresponsecontrolinresidentialwaterheaters AT sergionesmachnow thermaldiscomfortindexfordemandresponsecontrolinresidentialwaterheaters
_version_	1718437184769359872

A Thermal Discomfort Index for Demand Response Control in Residential Water Heaters

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