FIT Builds Sri Lanka's Most Advanced Renewable Energy NOC

FIT Builds Sri Lanka's Most Advanced Renewable Energy NOC

Hayleys Fentons Limited has launched what it describes as Sri Lanka's largest 24/7 Renewable Energy Operations Centre (ROC), designed and built by its ICT arm, Fentons Information Technologies (FIT) [1][1]. The platform unifies continuous monitoring, alarm management, and performance analytics across residential, commercial, and utility-scale solar and wind assets [1][1]. With 57% of SLE decision makers already running automated root cause analysis in production [2], the operational intelligence model FIT has embedded into the ROC aligns with established enterprise practice.

What is Covered in this Article

  • Centralised digital oversight for distributed renewable energy assets [1][1]
  • AI-driven alarm management and fault identification capabilities [1]
  • IT/OT cybersecurity integration with NDR, SIEM, SOAR, and Industrial IDS [1]
  • Performance analytics: expected-vs-actual, specific yield, and plant benchmarking [1]
  • APAC digital infrastructure market tailwinds supporting intelligent operations platforms [3]

The News: Hayleys Fentons Limited launched Sri Lanka's largest 24/7 Renewable Energy Operations Centre, powered by FIT, its ICT division [1][1][1]. The ROC delivers continuous monitoring, alarm management, and performance analytics from a single platform [1], covering residential solar, commercial and industrial, investment rooftop, ground-mounted solar, and wind projects [1]. Operational teams gain real-time visibility into energy generation, inverter status, device health, and weather conditions [1]. The alarm management system tracks new, ongoing, and resolved alarms with advanced ageing and prioritisation functions to accelerate fault response [1]. OT-specific cybersecurity tools including NDR, SIEM, SOAR, and Industrial IDS protect the IT/OT interface [1]. Performance analytics span daily, monthly, and annual generation analysis, expected-versus-actual comparisons, specific yield evaluation, and plant-to-plant benchmarking [1].

FIT Builds Sri Lanka's Most Advanced Renewable Energy NOC

Analyst Take: FIT's ROC is not an incremental upgrade to existing monitoring tools, it is a purpose-built operational intelligence platform that addresses a structural gap in Sri Lanka's renewable energy sector [1][1]. As distributed solar and wind assets multiply, the cost of fragmented, manual oversight compounds quickly. The ROC directly replaces that fragmentation with centralised, continuous digital control [1].

Centralised Intelligence Fills a Critical Operational Gap

Sri Lanka's renewable energy buildout spans multiple asset classes: residential rooftop solar, commercial and industrial installations, investment-grade rooftop projects, ground-mounted solar farms, and wind generation [1]. Each asset class generates continuous streams of operational data. Without a unified platform, operators face alert fatigue, delayed fault response, and inconsistent performance visibility. FIT's ROC consolidates this complexity into a single environment that runs around the clock [1][1]. The alarm management system's ageing and prioritisation functions are particularly significant: they allow technical teams to distinguish critical faults from routine notifications and act before downtime becomes unavoidable [1]. This mirrors the production-grade observability model that 57% of SLE decision makers have already adopted through automated root cause analysis [2], and that 45.3% of respondents (n=839) support with AI-assisted log analysis [2].

IT/OT Integration Elevates the ROC Beyond a Dashboard

The most strategically differentiated element of FIT's deployment is its cybersecurity architecture [1]. Renewable energy assets increasingly bridge digital networks and industrial control systems, creating an attack surface that conventional IT security tools are not designed to cover. FIT addresses this by embedding OT-specific Network Detection and Response, Security Information and Event Management, Security Orchestration, Automation and Response, and Industrial Intrusion Detection Systems directly into the ROC framework [1]. This positions the platform as an operational backbone, not merely a visualisation layer. NOC and SOC capabilities operate together, so a detected anomaly in the OT environment can trigger a coordinated incident response without manual handoffs. For operators of distributed energy assets, this integration is the difference between visibility and resilience.

Performance Analytics Convert Raw Data Into Asset Value

The ROC's analytics layer closes the loop between monitoring and improvement [1]. Daily, monthly, and annual generation analysis gives operators a longitudinal view of asset performance. Expected-versus-actual comparisons surface underperforming assets before they become financial liabilities. Specific yield evaluation normalises output against installed capacity, enabling fair assessment across sites with different configurations. Plant-to-plant benchmarking adds a competitive dimension, allowing operators to identify best-practice sites and replicate their performance conditions elsewhere [1]. Together, these capabilities transform the ROC from a reactive fault-detection tool into a proactive asset optimisation engine. This is precisely the outcome-enabling model that separates leading ICT integrators from commodity vendors, as those who fail to evolve their operating models risk being left behind in a market where differentiation increasingly depends on intelligence, not infrastructure alone [4].

APAC Market Tailwinds Support the Investment Case

FIT's ROC launch sits within a favourable macro context. The APAC Data Intelligence, Analytics, and Infrastructure market generated US$78.0 billion in 2024 and is projected to reach US$180.0 billion by 2028, driven by cloud computing, AI deployments, and digital transformation across key sectors [3]. Sri Lanka's energy sector is not isolated from this trajectory. 45.6% of SLE decision makers (n=839) plan to slightly increase investment in SLE areas over the next 12 months [2], reflecting sustained demand for platforms that deliver operational intelligence at scale. For FIT, the ROC represents a replicable model: the same platform architecture that manages Sri Lanka's distributed renewable assets today can scale to serve regional markets as APAC's digital infrastructure investment accelerates [3][4].

What to Watch

  • Asset coverage expansion: whether FIT extends the ROC to additional wind and utility-scale solar projects in Q1 2027 as Sri Lanka's renewable pipeline grows
  • Regional replication: whether Hayleys Fentons pursues ROC deployments in other APAC markets given the US$180.0 billion regional digital infrastructure opportunity by 2028 [3]
  • Cybersecurity incident response: how the NDR, SIEM, and Industrial IDS stack performs against real OT threat events in the next two quarters [1]
  • Competitive positioning: whether rival ICT integrators in Sri Lanka respond with comparable IT/OT-integrated operations platforms before mid-2027 [4]

Sources

1. FIT Powers Sri Lanka’s Largest  24/7 Renewable Energy Operations Centre with Advanced Digital Intelligence, Hayleysfentons, October 2026

2. 2H 2026 Software Lifecycle Engineering Global Enterprise Decision Maker Survey Report, Futurum Research, July 2026

3. 2H 2025 Data Intelligence, Analytics, & Infrastructure Market Sizing & Five-Year Forecast, Futurum Research, July 2025

4. Partners Weary on SaaS as Infrastructure Surges Again, Futurum Research, September 2026


Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Read the full Futurum Group Disclosure.

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This content is written by a commercial general-purpose language model (LLM) along with the Futurum Intelligence Platform, and has not been curated or reviewed by editors. Due to the inherent limitations in using AI tools, please consider the probability of error. The accuracy, completeness, or timeliness of this content cannot be guaranteed. It is generated on the date indicated at the top of the page, based on the content available, and it may be automatically updated as new content becomes available. The content does not consider any other information or perform any independent analysis.

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