Features of an Energy Management and Information System
Data Type:
Constrained List
Category:
Unit of Measure:
None
EMIS Feature
| List Options | Option Definition | Unit of Measure | |
|---|---|---|---|
| Automated system optimization | ASO analytics continuously analyzes and modifies Building Automation System control settings to optimize heating, ventilation and air conditioning system energy use while maintaining occupant comfort. It reads data from the BAS and automatically sends optimal setpoints back to the BAS to adjust the control parameters based on data such as submetered energy use and energy price signal. | None | |
| Demand management | Provide peak demand monitoring. Provide notification when the demand for critical metered loads passes a threshold. | None | |
| Energy consumption and costs visualization | Track and provide views of the meter points on a sub hourly (e.g., 15-minute) basis. Provide visualizations of real-time (and historic) energy consumption and costs. | None | |
| Energy information system functionality | EIS analytics focus on meter-level monitoring, analysis, and charting (hourly or more frequent consumption data, at the whole building or submeter level). Advanced EIS analytics incorporate automated opportunity analysis that typically includes predictive energy models that identify energy use anomalies and measure project savings. | None | |
| Energy information system key performance indicator tracking | Track KPIs for energy related metrics, such as equipment, system, or building level energy use intensity, greenhouse gas emissions. | None | |
| Energy performance analysis | Analyze interval energy data and provide actionable information. Common analysis includes time series load profiling, heat map visualization, benchmarking, baseline energy consumption modeling, and energy anomaly detection. | None | |
| Energy reporting and data export | Provide a default or customized energy report. Allow users to export energy data. | None | |
| Fault detection and diagnostics | FDD analytics automates the process of detecting faults and suboptimal performance of building systems and helps to diagnose potential causes. It focuses on system-level monitoring, analysis, and charting using Building Automation System data. Tools with FDD functionality pull data from the BAS, and may provide a report of the duration and frequency of faults, cost and/or energy impacts, and relative priority levels. | None | |
| Fault detection and diagnostics key performance indicator tracking | Track KPIs for equipment or system efficiency (e.g., chilled water plant and heating plant efficiency) and comfort-related indoor environmental conditions (e.g., occupant comfort index showing the percent of operating hours within zone target temperature ranges for all spaces). | None | |
| Fault prioritization | Prioritize fault based on an estimate of impact and recommend actions. | None | |
| Fault reporting and data export | Generate a default or customized report of the identified faults. Allow users to export operational data. | None | |
| Measurement and verification | Provide M&V capabilities in accordance with the International Protocol for Measurement and Verification, establish an energy usage baseline prior to the efficiency project, and express savings as a total, for a given pre- and post- efficiency project period. | None | |
| None | None | None | |
| Not applicable | Not applicable | None | |
| Operational data visualization | Visualize and plot time series operational data and control setpoints (e.g., temperature, pressure, flowrate). | None | |
| Other | Other | None | |
| Unknown | Unknown | None |
Term ID: 5ca735cb-eaf1-4fbf-bb31-4c4be056564a
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