Accruent Energy, primarily offered as Accruent Observe for Energy Management (AOEM), is a purpose-built, cloud-native energy management software designed to help organizations monitor, manage, and optimize energy consumption across their built environment. The platform centralizes data on energy consumption, costs, and environmental impact, enabling real-time insights for informed decision-making and resource allocation.
Key capabilities of AOEM include leveraging IoT remote monitoring and control to track energy usage, identify inefficiencies, and proactively manage risks. The software is hardware-agnostic, allowing for a simple and quick implementation with a very low cost of deployment.
Main Features and Capabilities:
- Holistic Dashboards: Provides a unified, easy-to-understand dashboard for all energy consumption data, including utility and metering data.
- Sophisticated Baselining & Project Tracking: Allows users to model different energy scenarios, edit baselines with ease, and track energy conservation opportunities.
- Weather Normalization: Automatically normalizes baselines using hyper-local weather data to create consistent facility benchmarks and points of comparison.
- Automated Workflows: Comprehensive automations integrate bills, energy meters, and high-energy consuming assets, utilizing sources like maintenance history.
- Smart Alerts: Configurable usage alerts and a rules engine cut through the noise to simplify proactive decision-making and allow for immediate action when consumption exceeds predefined thresholds.
- Compliance Support: Helps organizations remain compliant with carbon-related legislation and supports the autonomous calculation of r2 for ISO 50001.
Target Users and Use Cases:
AOEM is designed for facility managers, engineers, and energy teams in sectors such as corporate real estate, retail, manufacturing, and healthcare. Primary use cases include reducing operating costs, meeting sustainability objectives, enhancing ESG excellence, and ensuring asset reliability through predictive insights derived from energy data.