Measurement and verification for solar plant and building systems.
Understand and optimize micro-systems to reduce downtime.
Economize air flow to reduce energy costs.
Access critical facility information via elegant cloud UI.
Energy Analytics to Make Smart Decisions
BrightAI blends environmental data like Co2 and Temperature and Humidity with mechanical systems information to design intelligent demand and ventilation response programs. Along with ongoing commissioning, BrightAI’s customizable algorithms are configured to report on actionable insights that align with utility data to slash peak energy consumption in the built environment.
Analyzing Data to Reduce Energy Consumption
BrightAI easily adapts to gather accurate baselines for environmental and mechanical systems to determine areas of energy savings impact. The BrightAI M&V application intelligently blends system information to baseline energy consumption throughout facility systems. The BrightAI M&V platform provides an accurate forecast if a facility is operationally sound, or could benefit from retrofit, LED ligthing, solar, and other energy conservation services.
A successful M&V program will help provide the roadmap for energy efficiency in any facility and help determine areas of operational investment with measurable paybacks. Solbright engineers apply energy analytics to savings programs, utility incentives, potential retrofits, and financial models to design best fit energy conservation measures for your facility.
Eliminating Unplanned Emergencies
BrightAI connects to components within a system to create rules and standards for optimal performance. The dashboard enables alerts and reporting for components within a system that are indicate a system failure is imminent. Intelligently designed to maintain production up-time, tenant comfort, and eliminate surprises.
Correlating Data to Eliminate Unplanned Emergencies
Every facility has a unique ecosystems of clients, systems, and production purposes. Within the ecosystem of every facility is a rhythm of information that creates a harmony reflective of optimal performance. By gathering an ocean of environmental and mechanical data, BrightAI can determine which micro-systems need maintenance, or are out of harmony, to prevent unplanned emergencies.
Within every facility is an ecosystem that is critical to the operation of the facility. BrightAI easily connects to granular ecosystems in each facility to create a predictive maintenance platform that reduces operational downtime. This includes battery banks, refrigeration systems, fire suppression, boilers, chiller plants, ventilation systems, production lines, motors, and a variety of other systems that are critical components of operating the facility successfully.
A key component to predictive maintenance is being notified that a system is trending in the wrong direction, and making an intelligent intervention to mitigate downtime. BrightAI provides customizable alerting so you can set thresholds on component level systems such as vibration, temperature, and decibels. By measuring and looking at the harmonious baselines of critical equipment, BrightAI can immediately alert engineers when a system begins to decline.