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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936788/ http://dx.doi.org/10.1016/j.clema.2023.100178 |
Sumario: | 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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