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Designing reliable energy hubs for healthcare centers during the Corona pandemic using hybrid optimization methods and deep analysis

The Corona virus pandemic affects all aspects of our lives such as economy energy sector. As the pandemic is increasing the energy consumption of healthcare centers, it is important to provide the demands of them. This paper attempts to design and simulate a low cost, environmental friendly and reli...

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Autores principales: Hossein Jahangir, Mohammad, Eslamnezhad, Saeed, Kargarzadeh, Arash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936788/
http://dx.doi.org/10.1016/j.clema.2023.100178
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author Hossein Jahangir, Mohammad
Eslamnezhad, Saeed
Kargarzadeh, Arash
author_facet Hossein Jahangir, Mohammad
Eslamnezhad, Saeed
Kargarzadeh, Arash
author_sort Hossein Jahangir, Mohammad
collection PubMed
description The Corona virus pandemic affects all aspects of our lives such as economy energy sector. As the pandemic is increasing the energy consumption of healthcare centers, it is important to provide the demands of them. This paper attempts to design and simulate a low cost, environmental friendly and reliable energy hub for healthcare centers during the pandemic. The economic analysis of the system are also carried out using deep analysis to make the results more accurate. In this case, the system will meet minimum capacity shortages during its life time and will not be over cost. The paper also indicated the effects of Corona virus on micro grids which provide the demands of healthcare centers. The results of the paper shows that the PV/WT/Grid system that power up a clinic has no other choice but to use the diesel generator as the backup system during the pandemic. The pandemic causes the NPC value of the system to be increased from 1.2 M$ to 1.7 M$. In this case the paper introduces a novel energy hub which saves costs. This reliable system consists of wind turbines, photovoltaics and biogas generators and the NPC of it is calculated as 0.653 M$. By applying the deep analysis to the novel reliable system, the NPC will become 1.3 M$. In addition to be cost effective, the reliable energy hub also produces 13 tons less carbon during one year. By applying the methods of this study, the plan of the paper is applicable to any locations and any healthcare centers.
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spelling pubmed-99367882023-02-17 Designing reliable energy hubs for healthcare centers during the Corona pandemic using hybrid optimization methods and deep analysis Hossein Jahangir, Mohammad Eslamnezhad, Saeed Kargarzadeh, Arash Cleaner Materials Article The Corona virus pandemic affects all aspects of our lives such as economy energy sector. As the pandemic is increasing the energy consumption of healthcare centers, it is important to provide the demands of them. This paper attempts to design and simulate a low cost, environmental friendly and reliable energy hub for healthcare centers during the pandemic. The economic analysis of the system are also carried out using deep analysis to make the results more accurate. In this case, the system will meet minimum capacity shortages during its life time and will not be over cost. The paper also indicated the effects of Corona virus on micro grids which provide the demands of healthcare centers. The results of the paper shows that the PV/WT/Grid system that power up a clinic has no other choice but to use the diesel generator as the backup system during the pandemic. The pandemic causes the NPC value of the system to be increased from 1.2 M$ to 1.7 M$. In this case the paper introduces a novel energy hub which saves costs. This reliable system consists of wind turbines, photovoltaics and biogas generators and the NPC of it is calculated as 0.653 M$. By applying the deep analysis to the novel reliable system, the NPC will become 1.3 M$. In addition to be cost effective, the reliable energy hub also produces 13 tons less carbon during one year. By applying the methods of this study, the plan of the paper is applicable to any locations and any healthcare centers. The Author(s). Published by Elsevier Ltd. 2023-03 2023-02-17 /pmc/articles/PMC9936788/ http://dx.doi.org/10.1016/j.clema.2023.100178 Text en © 2023 The Author(s) 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
Hossein Jahangir, Mohammad
Eslamnezhad, Saeed
Kargarzadeh, Arash
Designing reliable energy hubs for healthcare centers during the Corona pandemic using hybrid optimization methods and deep analysis
title Designing reliable energy hubs for healthcare centers during the Corona pandemic using hybrid optimization methods and deep analysis
title_full Designing reliable energy hubs for healthcare centers during the Corona pandemic using hybrid optimization methods and deep analysis
title_fullStr Designing reliable energy hubs for healthcare centers during the Corona pandemic using hybrid optimization methods and deep analysis
title_full_unstemmed Designing reliable energy hubs for healthcare centers during the Corona pandemic using hybrid optimization methods and deep analysis
title_short Designing reliable energy hubs for healthcare centers during the Corona pandemic using hybrid optimization methods and deep analysis
title_sort designing reliable energy hubs for healthcare centers during the corona pandemic using hybrid optimization methods and deep analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936788/
http://dx.doi.org/10.1016/j.clema.2023.100178
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