Overview
Drive energy efficiency across facilities with interval meter analytics
Driving energy efficiency across a large portfolio of energy-intensive facilities requires the capture and analysis of multiple granular data sets to help organizations understand their energy usage patterns and change behaviors to meet their decarbonization goals faster.
IBM Envizi: Interval Meter Analytics consolidates interval meter data from utility meter providers and sub-metering systems to simplify and standardize the monitoring of utility demand and consumption data at a granular level. With powerful data analytics, benchmarking and workflow tools, it provides a contextualized view of interval meter data with other facility attributes to calculate weather-normalized utility intensities, pinpoint inefficient facilities and highlight those with the highest cost and energy savings potential.
Benefits
Assign tasks easily
Leverage integrated workflow tools to support the assignment, tracking and management of utility-related issues.
Increase operational transparency
Report on water and energy consumption across your portfolio to inform where to target your biggest consumption, cost and emissions-reduction efforts.
Identify savings opportunities
Compare weather-normalized energy and water intensities across facilities to identify and prioritize outliers that should be targeted for efficiency improvements.
Minimize energy waste
Raise and track meter-based anomalies regarding energy usage and automatically notify the right people when alert conditions are breached to minimize energy waste.
Automate data capture
Automatically capture high volume, high frequency interval meter data from utility meter providers and sub-metering systems, with in-built data validation to give you reliable metering data.
Features
Utility performance management
Drill down from portfolio-wide views to individual groups, locations or meters and report on a range of utility performance metrics including consumption, demand, emissions and relative energy and water intensity.
Data modeling
Perform regression analysis using Envizi’s integrated regression modelling tool to normalize energy performance for weather and KPI metrics, so you can measure and track savings against baseline periods over time.
Visualization and reporting
View your meter data through integrated dashboards and extract reports, allowing you to analyze utility demand and consumption from multiple perspectives at varying levels of granularity.
Meter-based alerts
Use day-of-week and weather-correction data models to auto-generate alerts and issues when demand or consumption varies from expected values. Triage, prioritize and assign issues for investigation and remediation using Kanban-style issue boards.
More features
Virtual meters
Create virtual meters to combine or split interval data so virtual loads can be represented, such as aggregating total HVAC load from several HVAC related sub-meters.
Automated data capture
Automate the capture of interval data through a variety of standard meter data connectors and contextualize it with other data sources, including weather and facility information.
Related products
Next step
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