Development of an Operational Intelligence Platform for Commercial Building Energy Management and Fault Detection

The client faces high building energy costs and limited visibility into building performance data. Manual diagnostics are time-consuming, and existing systems lack automated fault detection and actionable insights, leading to inefficient operations and higher costs.

A large commercial real estate portfolio manager seeking to enhance building operational efficiency, reduce energy costs, and automate maintenance diagnostics.

• Automate diagnosis of energy usage issues across diverse commercial buildings to identify cost-saving opportunities.
• Implement automated fault detection and diagnostics to preemptively identify operational anomalies and reduce maintenance response times.
• Achieve measurable reductions in energy consumption and associated carbon emissions.
• Develop an integrated platform that provides real-time equipment monitoring, proactive alerts, and data-driven recommendations.

• Energy benchmarking dashboard for tracking usage patterns and identifying inefficiencies.
• Real-time monitoring of building equipment and systems (HVAC, water lines, gas lines, electrical loads).
• Automated diagnosis algorithms for detecting energy inefficiencies, schedule optimizations, and unnecessary heating/cooling.
• Fault detection and diagnostics (FDD) that analyze historical and live data to identify anomalies such as spikes, leaks, overheating, or equipment failures.
• Alerting system generating thousands of actionable alerts per month for proactive maintenance.
• Capacities for energy savings calculations, CapEx forecasting, and tenant billing automation.
• User-friendly interfaces for facility managers and engineers to visualize insights and respond promptly.

• Building automation systems (BAS) for real-time equipment data
• Sensor and IoT device data streams
• Existing maintenance management systems for alert integration
• Tenant billing platforms for automated invoicing

• Scalable architecture supporting over 500 properties with real-time data processing
• High availability and reliability to ensure continuous monitoring and alerting
• Data security and compliance with industry standards to protect sensitive building and client data
• Performance metrics: system capable of generating thousands of alerts monthly with minimal latency
• User accessibility through responsive web interfaces

The platform is expected to automate energy diagnostics and fault detection, leading to millions of dollars in energy savings annually, significantly reduce carbon footprint, and improve operational responsiveness. Enhanced visibility and automation will enable proactive maintenance, minimize downtime, and optimize building performance across a large and diverse property portfolio.