Real-Time Sedimentation and Operational Technology Integration to Enhance Hydropower Operational Reliability: Case Study of the Chivor Hydropower Plant in Colombia.
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| Title: | Real-Time Sedimentation and Operational Technology Integration to Enhance Hydropower Operational Reliability: Case Study of the Chivor Hydropower Plant in Colombia. |
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| Authors: | Leguizamon-Perilla, Aldemar1,2 (AUTHOR), Caballero, Johann A.1,2 (AUTHOR), Rojas, Leonardo1,2,3 (AUTHOR), López-Cely, Francisco E.1,2 (AUTHOR), Parra-Rodriguez, Nhora Cecilia1,2 (AUTHOR), Morales-Cruz, Laidi1,2,3 (AUTHOR), Nieto-Londoño, César3 (AUTHOR) cesar.nieto@upb.edu.co, Silva-López, Wilber3 (AUTHOR), Vásquez, Rafael E.3 (AUTHOR) |
| Source: | Energies (19961073). May2026, Vol. 19 Issue 10, p2481. 22p. |
| Subject Terms: | *Sediment analysis, *Supervisory control & data acquisition systems, *Hydroelectric power plants, *Technology convergence, *Turbine generators, *Digital technology |
| Geographic Terms: | Colombia |
| Abstract: | This study addresses the critical challenge of sediment-driven degradation in aging hydropower infrastructure by implementing a novel Digital Operational Technology modernization framework at the AES Chivor Hydropower Plant in Colombia. While conventional sediment monitoring relies on sporadic manual campaigns, this research introduces a continuous, real-time sensing architecture that integrates hybrid acoustic–optical sensors, covering a range of 10 to 6000 mg/L, directly into the plant's SCADA (Supervisory Control and Data Acquisition) system. The novelty of this approach lies in the seamless coupling of high-frequency physical data (15 min sampling) with an Operational Decision Support Module, enabling adaptive turbine management. Statistical validation against laboratory gravimetric standards yielded a robust correlation of 0.93, confirming the system's precision in quantifying suspended sediment concentrations. By identifying critical fine particle fractions in real time, the proposed model enables a precision-based maintenance strategy that significantly reduces unscheduled production downtime and mitigates accelerated wear in Pelton turbines. These findings provide a scalable benchmark for extending the operational life of large-scale hydropower facilities facing advanced sedimentation risks through digital transformation. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194141595 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Real-Time Sedimentation and Operational Technology Integration to Enhance Hydropower Operational Reliability: Case Study of the Chivor Hydropower Plant in Colombia. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Leguizamon-Perilla%2C+Aldemar%22">Leguizamon-Perilla, Aldemar</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Caballero%2C+Johann+A%2E%22">Caballero, Johann A.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rojas%2C+Leonardo%22">Rojas, Leonardo</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22López-Cely%2C+Francisco+E%2E%22">López-Cely, Francisco E.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Parra-Rodriguez%2C+Nhora+Cecilia%22">Parra-Rodriguez, Nhora Cecilia</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Morales-Cruz%2C+Laidi%22">Morales-Cruz, Laidi</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nieto-Londoño%2C+César%22">Nieto-Londoño, César</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> cesar.nieto@upb.edu.co</i><br /><searchLink fieldCode="AR" term="%22Silva-López%2C+Wilber%22">Silva-López, Wilber</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vásquez%2C+Rafael+E%2E%22">Vásquez, Rafael E.</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2481. 22p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Sediment+analysis%22">Sediment analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Supervisory+control+%26+data+acquisition+systems%22">Supervisory control & data acquisition systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Hydroelectric+power+plants%22">Hydroelectric power plants</searchLink><br />*<searchLink fieldCode="DE" term="%22Technology+convergence%22">Technology convergence</searchLink><br />*<searchLink fieldCode="DE" term="%22Turbine+generators%22">Turbine generators</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Colombia%22">Colombia</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study addresses the critical challenge of sediment-driven degradation in aging hydropower infrastructure by implementing a novel Digital Operational Technology modernization framework at the AES Chivor Hydropower Plant in Colombia. While conventional sediment monitoring relies on sporadic manual campaigns, this research introduces a continuous, real-time sensing architecture that integrates hybrid acoustic–optical sensors, covering a range of 10 to 6000 mg/L, directly into the plant's SCADA (Supervisory Control and Data Acquisition) system. The novelty of this approach lies in the seamless coupling of high-frequency physical data (15 min sampling) with an Operational Decision Support Module, enabling adaptive turbine management. Statistical validation against laboratory gravimetric standards yielded a robust correlation of 0.93, confirming the system's precision in quantifying suspended sediment concentrations. By identifying critical fine particle fractions in real time, the proposed model enables a precision-based maintenance strategy that significantly reduces unscheduled production downtime and mitigates accelerated wear in Pelton turbines. These findings provide a scalable benchmark for extending the operational life of large-scale hydropower facilities facing advanced sedimentation risks through digital transformation. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194141595 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19102481 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 2481 Subjects: – SubjectFull: Sediment analysis Type: general – SubjectFull: Supervisory control & data acquisition systems Type: general – SubjectFull: Hydroelectric power plants Type: general – SubjectFull: Technology convergence Type: general – SubjectFull: Turbine generators Type: general – SubjectFull: Digital technology Type: general – SubjectFull: Colombia Type: general Titles: – TitleFull: Real-Time Sedimentation and Operational Technology Integration to Enhance Hydropower Operational Reliability: Case Study of the Chivor Hydropower Plant in Colombia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Leguizamon-Perilla, Aldemar – PersonEntity: Name: NameFull: Caballero, Johann A. – PersonEntity: Name: NameFull: Rojas, Leonardo – PersonEntity: Name: NameFull: López-Cely, Francisco E. – PersonEntity: Name: NameFull: Parra-Rodriguez, Nhora Cecilia – PersonEntity: Name: NameFull: Morales-Cruz, Laidi – PersonEntity: Name: NameFull: Nieto-Londoño, César – PersonEntity: Name: NameFull: Silva-López, Wilber – PersonEntity: Name: NameFull: Vásquez, Rafael E. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 10 Titles: – TitleFull: Energies (19961073) Type: main |
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