Power Generation & Utilities · Asset Performance Management

From reactive schedules
to assets that perform
predictably.

Power generation, energy recovery and water utility assets operate under mounting pressure — availability targets, emissions compliance, regulatory scrutiny and ageing infrastructure, often managed with maintenance practices that have not kept pace. Optimal delivers structured asset performance management that shifts operators from reactive firefighting to condition-led reliability, across single sites and multi-facility portfolios.

Book a Discovery Call Benchmark with GARPI™™

Energy Recovery Operator · UK · 8 Sites

ISO 55001

SAMP developed and implemented across 8 energy recovery facilities — 5-year roadmap from governance foundation through to certification and continuous improvement.

Water Utility · Southern Africa

Reactive→PdM

Predictive maintenance platform deployed for real-time anomaly detection — shifting a major water utility from unplanned breakdowns to predictive maintenance schedules and failure prevention.

Water Supply Utility · Southern Africa

10-Year

GRAP-compliant Strategic Asset Management Plan delivered — verified asset register, Digital Twin model and 10-year capital plan at 75 Ml/day revised operating capacity.

Energy Recovery Facilities

Power Generation

Water Utilities

Renewable Energy

ISO 55001 · RCM · GRAP · OSIsoft PI

UK · Southern Africa

The Operating Reality

Power and utilities demands more
from asset management

Power generation and utility operators carry a dual obligation: deliver continuous, reliable service to customers and regulators, while managing ageing infrastructure under tightening cost and emissions constraints. Availability targets, regulatory reporting obligations and public accountability leave no margin for unplanned downtime — yet many operators remain trapped in reactive maintenance cycles that erode both performance and profitability.

The path out of that cycle requires more than technology. It requires structured maintenance strategy, high-quality asset data and a governance framework that connects day-to-day maintenance decisions to strategic asset management objectives — at site level and across the portfolio.

How ARaaS® solves this

Reactive maintenance culture embedded in operationsTime-based PM schedules not justified by failure mode analysis. High corrective-to-planned maintenance ratios on critical plant — furnaces, turbines, pumps, conveyors — driving cost and availability losses simultaneously.

No Strategic Asset Management PlanCapital investment decisions made reactively rather than strategically. No SAMP connecting maintenance decisions to asset lifecycle objectives, regulatory compliance or long-term service delivery commitments.

No failure forewarning on critical plantEquipment failures occurring without advance detection. Condition monitoring either absent or limited to manual rounds — with no structured programme to identify degradation before it reaches failure threshold.

Asset register not fit for lifecycle managementCMMS data incomplete or unreliable. Asset economic lives, condition scores and remaining useful life not captured — making capital planning, GRAP compliance and replacement scheduling impossible on a defensible basis.

Digital data without operational contextProcess historians and sensor data accumulating without the analytical framework to extract value. Data volume increasing — but without structured maintenance strategy behind it, anomalies go undetected until they become failures.

Power generation and utilities asset management engineering

The Optimal Approach

Structure first.
Then predict.

Predictive analytics only delivers value when built on a foundation of structured asset data and defensible maintenance strategy. Optimal begins every power and utilities engagement with that foundation — correct asset hierarchies, failure mode analysis, criticality classification and CMMS governance — before deploying condition monitoring or digital tools on top of it.

For operators under regulatory obligation, every element of this approach is designed to be auditable, documented and maintainable by your own teams once the engagement concludes — whether that obligation is ISO 55001, GRAP, ofwat, or sector-specific regulatory reporting.

ISO 55001 gap assessment & SAMP development →

GRAP-compliant asset register & economic life assessment →

FMECA & RCM across generation and process plant →

Predictive maintenance & OSIsoft PI deployment →

Digital Twin modelling for capital planning scenarios →

Multi-site governance frameworks and portfolio benchmarking →

Explore the ARaaS® framework

Services for Power Generation & Utilities

Everything a utility operator
needs — nothing superfluous

Optimal's full power and utilities capability — from strategic asset management planning and GRAP compliance through to predictive analytics, RCM and multi-site portfolio governance.

Strategic Asset Management Plan

ISO 55001 gap assessment & SAMP development

GRAP-compliant asset register with economic life estimates

Remaining Useful Life and condition assessment

10-year capital expenditure plan

5-year ISO 55001 certification roadmap

Asset Register & Physical Verification

ISO 14224-compliant functional location hierarchy

Physical verification and condition survey

Equipment tagging, BoMs and criticality classification

CMMS data cleansing and governance framework

Work order quality and KPI reporting structure

Maintenance Strategy & RCM

FMECA across generation, process and distribution plant

RCM task development and PM schedule optimisation

Criticality classification and risk-based task selection

SAP PM / Maximo task library integration

Shutdown and outage scope rationalisation

Predictive & Prescriptive Maintenance

Real-time anomaly detection & predictive maintenance

OSIsoft PI historian integration and trending

Vibration, thermography and oil analysis programme design

Optimal360™ APM platform deployment

Failure signature identification on critical rotating plant

Reliability Engineering & Digital Twin

RAM modelling and availability analysis

Digital Twin — maintenance cost vs downtime scenarios

Root cause analysis for recurring failures

Lifecycle cost modelling for capital decisions

KPI dashboard design — availability, MTBF, MTTR, compliance

CMMS Governance & Data Quality

CMMS audit and data quality improvement programme

Work order classification and failure coding framework

Cross-site taxonomy standardisation

Maintenance performance reporting and benchmarking

Regulatory reporting data trail and audit readiness

Trusted by Power & Utilities Operators

Optimal has delivered asset performance programmes for power generation, energy recovery and water utility operators across the UK and Southern Africa — spanning multi-site portfolio management, ISO 55001 SAMP development, predictive analytics deployment and GRAP-compliant asset register build.

Energy Recovery Facility Operator · UK · 8 Sites

Major Water Utility · Limpopo · South Africa

Water Supply Utility · South Africa

Power Generation Group · Southern Africa

Detailed case studies below are anonymised in line with Optimal's client confidentiality policy. Client consent is required before specific project details are attributed publicly. Contact us to arrange reference calls with relevant operators.

Case Studies — Power Generation & Utilities

Proven delivery across
every utilities challenge

All case studies

Energy Recovery · UK · 8 Sites

Major Energy Recovery Facility Operator — UK

ISO 55001 SAMP & 5-Year Roadmap

An energy recovery operator managing eight facilities across the UK — processing waste through advanced combustion technology — required a structured ISO 55001-aligned Strategic Asset Management Plan across its full portfolio. Asset classes spanning waste bunker cranes, furnaces, heat recovery steam generators, bottom and fly ash handling, flue gas treatment plant, steam turbines and process water systems required a coherent governance framework connecting site-level maintenance to portfolio-level strategy.

Results delivered

ISO 55001

SAMP developed and implemented across all 8 sites — asset management policy, objectives framework and governance structure aligned to ISO 55001:2014 across the full portfolio

5-Year

Structured roadmap delivered: 2025 governance foundation → 2026 process implementation → 2027 data-driven operations → 2028 continuous improvement → 2029 maturity and recertification. KPIs defined: >90% availability, MTBF >7,000–8,000 hrs, >95% maintenance compliance, >99% emissions compliance

Water Utility · Limpopo · South Africa

Major Water Utility — Limpopo Province, South Africa

Predictive Maintenance Deployment

A major water utility in Limpopo Province was experiencing irregular equipment availability and escalating corrective maintenance cost — driven entirely by reactive maintenance practices with no failure forewarning capability. Equipment breakdowns were occurring without advance detection, disrupting water supply reliability and placing unplanned demand on maintenance teams and budgets.

Results delivered

Predictive

Predictive maintenance platform deployed for real-time anomaly detection across critical pumping and treatment plant — failure signatures identified before threshold breach, enabling planned interventions to replace emergency breakdowns

Reactive→PdM

Maintenance strategy shifted from calendar-based to condition-driven. Simplified KPI dashboards providing macro-level visibility to operations leadership — equipment availability, failure frequency and maintenance compliance tracked in real time

Water Supply · South Africa · GRAP

Water Supply Utility — South Africa

GRAP Asset Register & 10-Year SAMP

A water supply utility operating at a revised capacity of 75 Ml/day — above its originally planned 55 Ml/day design — required a GRAP-compliant asset register and Strategic Asset Management Plan reflecting actual operating conditions. No verified asset register existed with economic lives, condition scores or remaining useful life estimates that could support GRAP financial reporting or defensible capital planning.

Results delivered

GRAP

Verified, GRAP-compliant asset register built — Remaining Useful Life, Current Condition and Replacement Date captured per asset. Economic life revised to reflect 75 Ml/day operating reality

10-Year

Strategic Asset Management Plan delivered with Digital Twin model — maintenance cost vs downtime scenario analysis informing capital investment sequencing and replacement schedule over a 10-year planning horizon

Power Generation · Southern Africa · RCM

Power Generation Group — Southern Africa

Maintenance Strategy Development & CMMS Governance

A power generation group operating multiple generation assets across Southern Africa with no structured maintenance strategy — PM schedules based on OEM recommendations only, with no FMECA, no criticality classification and no CMMS governance framework. High corrective maintenance ratios and escalating unplanned downtime were eroding availability and generation revenue.

Results delivered

RCM

FMECA and RCM task development completed across critical generation plant — PM schedules redesigned around failure modes, criticality-classified and loaded into CMMS with SAP PM-compatible task library

Governed

CMMS data governance framework established — asset hierarchy restructured, work order classification applied and maintenance KPI reporting operational. Cross-site benchmarking viable for the first time

Energy Recovery · UK · Reliability Engineering

Energy Recovery Facility Operator — UK

Reliability Engineering & Failure Mode Analysis

Within the same multi-site energy recovery portfolio, recurring failures on high-value combustion and steam generation plant were driving disproportionate maintenance cost and availability loss. Root causes were undocumented and failure patterns unanalysed — corrective interventions were repeating rather than resolving underlying failure modes on furnaces, HRSGs and steam turbine systems.

Results delivered

FMECA

Failure mode analysis completed across furnace, HRSG, steam turbine and flue gas treatment plant — recurring failure patterns identified, root causes documented and elimination actions defined per equipment class

Eliminated

Vulnerability report delivered per site — maintenance tasks redesigned to address identified failure modes. MTTR target set at <24 hours. Predictive interventions defined for high-criticality equipment with MTBF targets of 7,000–8,000 hours

Digital Engineering

Operational data
turned into decisions

Power generation and utility assets generate continuous streams of operational data — process historians, vibration datasets, flow measurements, temperature profiles. The organisations that turn this data into availability advantage are those with the analytical capability to detect failure signatures before they become unplanned outages.

Optimal deploys predictive and prescriptive maintenance programmes across generation, energy recovery and water infrastructure — integrating with OSIsoft PI, SAP PM and IBM Maximo environments to deliver actionable intelligence directly to maintenance teams, with full traceability for regulatory reporting.

Real-time anomaly detection & predictive maintenance and dashboards →

Digital Twin modelling — maintenance cost vs downtime scenarios →

Optimal360™ APM platform deployment →

CMMS data cleansing, enrichment and governance →

KPI framework — availability, MTBF, MTTR, emissions compliance →

Predictive maintenance services

Digital engineering and predictive analytics for power and utilities

From reactive schedules
to assets that perform
predictably.

Power and utilities demands more
from asset management

Structure first.
Then predict.

From maintenance schedules
to asset strategy.

Everything a utility operator
needs — nothing superfluous

Proven delivery across
every utilities challenge

Operational data
turned into decisions

How does your power or utilities operation
compare with global peers?

Ready to shift from
reactive to reliable?

Optimal across
asset-intensive sectors

From reactive schedulesto assets that performpredictably.

Power and utilities demands morefrom asset management

Structure first.Then predict.

From maintenance schedulesto asset strategy.

Everything a utility operatorneeds — nothing superfluous

Proven delivery acrossevery utilities challenge

Operational dataturned into decisions

How does your power or utilities operationcompare with global peers?

Ready to shift fromreactive to reliable?

Optimal acrossasset-intensive sectors

From reactive schedules
to assets that perform
predictably.

Power and utilities demands more
from asset management

Structure first.
Then predict.

From maintenance schedules
to asset strategy.

Everything a utility operator
needs — nothing superfluous

Proven delivery across
every utilities challenge

Operational data
turned into decisions

How does your power or utilities operation
compare with global peers?

Ready to shift from
reactive to reliable?

Optimal across
asset-intensive sectors