Priority Load Management for Improving Supply Reliability of Critical Loads in Healthcare Facilities Under Highly Unreliable Grids.
Saved in:
| Title: | Priority Load Management for Improving Supply Reliability of Critical Loads in Healthcare Facilities Under Highly Unreliable Grids. |
|---|---|
| Authors: | Ibiam, Ndukwe Henry1 (AUTHOR), Kahwash, Fadi1 (AUTHOR), Ahmed, Jubaer1 (AUTHOR) j.ahmed@napier.ac.uk |
| Source: | Energies (19961073). Mar2025, Vol. 18 Issue 6, p1343. 25p. |
| Subjects: | Back up systems, Health facilities, Operating costs, Systems design, Energy storage, Diesel electric power-plants, Fossil fuel power plants |
| Abstract: | Many developing countries suffer from unreliable grids and rolling blackouts on a daily basis. Losing electricity in healthcare facilities can be detrimental to human life and the required health services. Thus, it is often necessary to keep critical loads operational even if the grid experiences a blackout. Such support is usually provided using battery storage or diesel generators. In the system design phase, it is often unknown how the priority-based load management will impact the battery life, sizing of the optimal battery, or operational cost in the long run. This paper presents a comprehensive analysis of a priority load management strategy for healthcare facilities in areas of highly unreliable grids. A grid-connected battery backup system is used for the evaluation. To operate the system, a priority-based dispatch algorithm is developed, which classifies medical loads into three tiers based on their criticality. Synthetic medical facility load profiles and blackout patterns are constructed to test the algorithm. The battery model was enhanced with the introduction of aging calculations spanning multiple years. It was found that the priority-based algorithm improved the reliability served to the most critical loads at the expense of the least critical. The load priority strategy slowed the battery pack degradation over time and reduced the number of replacement cycles, which is financially favorable in the long run. Finally, some insights for designing such a backup system are provided. [ABSTRACT FROM AUTHOR] |
| Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 184100267 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Priority Load Management for Improving Supply Reliability of Critical Loads in Healthcare Facilities Under Highly Unreliable Grids. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ibiam%2C+Ndukwe+Henry%22">Ibiam, Ndukwe Henry</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kahwash%2C+Fadi%22">Kahwash, Fadi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ahmed%2C+Jubaer%22">Ahmed, Jubaer</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> j.ahmed@napier.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Mar2025, Vol. 18 Issue 6, p1343. 25p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Back+up+systems%22">Back up systems</searchLink><br /><searchLink fieldCode="DE" term="%22Health+facilities%22">Health facilities</searchLink><br /><searchLink fieldCode="DE" term="%22Operating+costs%22">Operating costs</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+design%22">Systems design</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br /><searchLink fieldCode="DE" term="%22Diesel+electric+power-plants%22">Diesel electric power-plants</searchLink><br /><searchLink fieldCode="DE" term="%22Fossil+fuel+power+plants%22">Fossil fuel power plants</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Many developing countries suffer from unreliable grids and rolling blackouts on a daily basis. Losing electricity in healthcare facilities can be detrimental to human life and the required health services. Thus, it is often necessary to keep critical loads operational even if the grid experiences a blackout. Such support is usually provided using battery storage or diesel generators. In the system design phase, it is often unknown how the priority-based load management will impact the battery life, sizing of the optimal battery, or operational cost in the long run. This paper presents a comprehensive analysis of a priority load management strategy for healthcare facilities in areas of highly unreliable grids. A grid-connected battery backup system is used for the evaluation. To operate the system, a priority-based dispatch algorithm is developed, which classifies medical loads into three tiers based on their criticality. Synthetic medical facility load profiles and blackout patterns are constructed to test the algorithm. The battery model was enhanced with the introduction of aging calculations spanning multiple years. It was found that the priority-based algorithm improved the reliability served to the most critical loads at the expense of the least critical. The load priority strategy slowed the battery pack degradation over time and reduced the number of replacement cycles, which is financially favorable in the long run. Finally, some insights for designing such a backup system are provided. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=184100267 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en18061343 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 1343 Subjects: – SubjectFull: Back up systems Type: general – SubjectFull: Health facilities Type: general – SubjectFull: Operating costs Type: general – SubjectFull: Systems design Type: general – SubjectFull: Energy storage Type: general – SubjectFull: Diesel electric power-plants Type: general – SubjectFull: Fossil fuel power plants Type: general Titles: – TitleFull: Priority Load Management for Improving Supply Reliability of Critical Loads in Healthcare Facilities Under Highly Unreliable Grids. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ibiam, Ndukwe Henry – PersonEntity: Name: NameFull: Kahwash, Fadi – PersonEntity: Name: NameFull: Ahmed, Jubaer IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 18 – Type: issue Value: 6 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |
