Project 05 · Asset Performance & Predictive Analytics
Coal-Fired Power Plants
- Role
- Technical Program Manager
- Company
- SCG / REPCO NEX
- Location
- Davao and Cebu, Philippines
- Period
- 2023-2024
- Power Plants
- 2
- Combined Capacity
- 640 MW
- Countries Coordinated
- 2
- Program Period
- 2023-24
01 · Scope
Project context and delivery environment.
Asset Performance Management Program delivery across two coal-fired power plants.
- Client
- Aboitiz Power Corporation
- Plants
- 2 coal-fired power plants - Therma South and Therma Visayas
- Combined Capacity
- 640 MW
- Location
- Davao and Cebu, Philippines
- Period
- 2023-2024
- Main Equipment
- Circulating Fluidized Bed (CFB) boilers, steam turbines, generators, boiler feedwater pumps, ID/FD/PA fans, air preheaters, condensers, and cooling-water systems
02 · Personal Contribution
What NJ personally owned and contributed.
These statements describe NJ's direct role within the wider project organization.
- 01
Led the predictive-analytics and anomaly-detection workstream across the two-plant program, working with Aboitiz reliability and plant teams in the Philippines.
- 02
Owned technical requirements, data-readiness assessment, predictive-analytics requirements, UAT, deployment readiness, Go-Live coordination, training, and operational handover.
- 03
Defined requirements and user workflows for centralized plant monitoring through the Unified Operations Center.
- 04
Coordinated a cross-country team spanning Thailand and the Philippines through on-site workshops, remote execution, documented action ownership, and milestone-based site visits.
- 05
Led critical on-site Go-Live activities at Therma South, including UAT closure, model validation, user training, issue resolution, and Go/No-Go readiness.
03 · Outcome
Results delivered.
- Successfully brought Therma South into production use before the end of NJ's assignment.
- Enabled plant teams to use predictive analytics and anomaly detection to support more condition-informed operating and maintenance decisions.
- Reduced unnecessary time-based maintenance activities for selected equipment and generated maintenance savings.