Operational Intelligence & Optimization
Dar delivers Operational Intelligence & Optimization services that enable smart buildings and districts to translate operational data into sustained, measurable performance improvement.
Despite significant investment in building automation, metering, and control systems, many facilities operate below their optimal performance. Alarms and dashboards indicate that issues exist but rarely explain root causes or quantify their impact. Utility and maintenance costs typically represent over 70% of total facility operating expenditure, with inefficiencies often remaining hidden within normal operating conditions.
Dar's approach focuses on converting existing operational data into evidence-based insight that supports informed decision-making, targeted intervention, and continuous performance validation across the building lifecycle.
Operational Intelligence & Optimization capabilities
Operational Data Capture & Baseline Establishment
We establish a reliable operational baseline using readily available documentation, including equipment schedules, P&IDs, as-built drawings, and system trends. A non-intrusive, read-only data capturing method is then used to extract real-time data from building systems such as sensors, meters, and connected devices.
To ensure representative analysis, operational data is collected over a minimum period of two weeks without disrupting live operations.
Performance Analytics & Fault Diagnostics
Analysis focuses on quantifying performance and identifying root causes.
Energy consumption is normalized using cooling and heating degree days, and a whole-building baseline is developed and benchmarked against international and applicable local codes. Targeted Fault Detection & Diagnostics are then applied using a selective, use-case-driven approach, concentrating on systems with persistent base loads and the highest impact on performance, typically lighting, AHUs, VAV boxes, and hydronic pumps.
Where unified platforms or digital twins are not available, diagnostics are performed using snapshot BMS data, available trend logs, and operational input from facility teams. Data is cleaned, contextualized, and analyzed using calibrated rule-based logic to detect anomalies such as continuous operation or inappropriate setpoints during non-critical hours. The framework is designed to scale into real-time analytics and continuous optimization when digital enablement is introduced.
Operational Optimization & Corrective Action Support
Findings are consolidated by an expert engineering analyst and translated into prioritized, actionable recommendations.
Operational teams and service providers are engaged to implement corrective actions, with focused stakeholder coordination for complex issues.
Performance Validation & Continuous Optimization
Post-implementation data is used to confirm whether issues have been resolved and performance improvements sustained. Where continuous monitoring is enabled, validation becomes an ongoing process that supports continuous improvement of operations and maintenance practices.
Common client challenges
Limited visibility into true system performance, with alarms indicating symptoms rather than causes.
High utility and maintenance costs driven by undetected inefficiencies and suboptimal control strategies.
Difficulty validating whether operational changes deliver sustained performance improvement over time.
Client Outcomes
Enables asset owners and operators to reduce energy consumption and operating costs through data-driven insight and targeted intervention.
System reliability and asset lifespan are improved by identifying and addressing performance degradation early.
Occupant comfort and service quality are enhanced through stable, optimized system operation.
Measured validation of outcomes provides confidence that improvements are real, sustained, and aligned with sustainability and operational objectives.