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COVID-19 pandemic ramifications on residential Smart homes energy use load profiles

The COVID-19 pandemic has significantly affected people’s behavioral patterns and schedules because of stay-at-home orders and a reduction of social interactions. Therefore, the shape of electrical loads associated with residential buildings has also changed. In this paper, we quantify the changes a...

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Autores principales: Chinthavali, Supriya, Tansakul, Varisara, Lee, Sangkeun, Whitehead, Matthew, Tabassum, Anika, Bhandari, Mahabir, Munk, Jeff, Zandi, Helia, Buckberry, Heather, Kuruganti, Teja, Hill, Justin, Cortner, Chase
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743488/
https://www.ncbi.nlm.nih.gov/pubmed/35035062
http://dx.doi.org/10.1016/j.enbuild.2022.111847
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author Chinthavali, Supriya
Tansakul, Varisara
Lee, Sangkeun
Whitehead, Matthew
Tabassum, Anika
Bhandari, Mahabir
Munk, Jeff
Zandi, Helia
Buckberry, Heather
Kuruganti, Teja
Hill, Justin
Cortner, Chase
author_facet Chinthavali, Supriya
Tansakul, Varisara
Lee, Sangkeun
Whitehead, Matthew
Tabassum, Anika
Bhandari, Mahabir
Munk, Jeff
Zandi, Helia
Buckberry, Heather
Kuruganti, Teja
Hill, Justin
Cortner, Chase
author_sort Chinthavali, Supriya
collection PubMed
description The COVID-19 pandemic has significantly affected people’s behavioral patterns and schedules because of stay-at-home orders and a reduction of social interactions. Therefore, the shape of electrical loads associated with residential buildings has also changed. In this paper, we quantify the changes and perform a detailed analysis on how the load shapes have changed, and we make potential recommendations for utilities to handle peak load and demand response. Our analysis incorporates data from before and after the onset of the COVID-19 pandemic, from an Alabama Power Smart Neighborhood with energy-efficient/smart devices, using around 40 advanced metering infrastructure data points. This paper highlights the energy usage pattern changes between weekdays and weekends pre– and post–COVID-19 pandemic times. The weekend usage patterns look similar pre– and post–COVID-19 pandemic, but weekday patterns show significant changes. We also compare energy use of the Smart Neighborhood with a traditional neighborhood to better understand how energy-efficient/smart devices can provide energy savings, especially because of increased work-from-home situations. HVAC and water heating remain the largest consumers of electricity in residential homes, and our findings indicate an even further increase in energy use by these systems.
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spelling pubmed-87434882022-01-10 COVID-19 pandemic ramifications on residential Smart homes energy use load profiles Chinthavali, Supriya Tansakul, Varisara Lee, Sangkeun Whitehead, Matthew Tabassum, Anika Bhandari, Mahabir Munk, Jeff Zandi, Helia Buckberry, Heather Kuruganti, Teja Hill, Justin Cortner, Chase Energy Build Article The COVID-19 pandemic has significantly affected people’s behavioral patterns and schedules because of stay-at-home orders and a reduction of social interactions. Therefore, the shape of electrical loads associated with residential buildings has also changed. In this paper, we quantify the changes and perform a detailed analysis on how the load shapes have changed, and we make potential recommendations for utilities to handle peak load and demand response. Our analysis incorporates data from before and after the onset of the COVID-19 pandemic, from an Alabama Power Smart Neighborhood with energy-efficient/smart devices, using around 40 advanced metering infrastructure data points. This paper highlights the energy usage pattern changes between weekdays and weekends pre– and post–COVID-19 pandemic times. The weekend usage patterns look similar pre– and post–COVID-19 pandemic, but weekday patterns show significant changes. We also compare energy use of the Smart Neighborhood with a traditional neighborhood to better understand how energy-efficient/smart devices can provide energy savings, especially because of increased work-from-home situations. HVAC and water heating remain the largest consumers of electricity in residential homes, and our findings indicate an even further increase in energy use by these systems. Elsevier B.V. 2022-03-15 2022-01-10 /pmc/articles/PMC8743488/ /pubmed/35035062 http://dx.doi.org/10.1016/j.enbuild.2022.111847 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Chinthavali, Supriya
Tansakul, Varisara
Lee, Sangkeun
Whitehead, Matthew
Tabassum, Anika
Bhandari, Mahabir
Munk, Jeff
Zandi, Helia
Buckberry, Heather
Kuruganti, Teja
Hill, Justin
Cortner, Chase
COVID-19 pandemic ramifications on residential Smart homes energy use load profiles
title COVID-19 pandemic ramifications on residential Smart homes energy use load profiles
title_full COVID-19 pandemic ramifications on residential Smart homes energy use load profiles
title_fullStr COVID-19 pandemic ramifications on residential Smart homes energy use load profiles
title_full_unstemmed COVID-19 pandemic ramifications on residential Smart homes energy use load profiles
title_short COVID-19 pandemic ramifications on residential Smart homes energy use load profiles
title_sort covid-19 pandemic ramifications on residential smart homes energy use load profiles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743488/
https://www.ncbi.nlm.nih.gov/pubmed/35035062
http://dx.doi.org/10.1016/j.enbuild.2022.111847
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