Energy Management & Compliance AutomationPurpose
1.2. Automate load shedding triggers when system detects thresholds are exceeded, efficiently reducing non-critical loads to balance supply and demand.
1.3. Automates escalation of alerts, reporting, and load readjustments in real-time for plant operators and managers.
1.4. Automator monitors SCADA feeds, grid APIs, and real-time sensor data to maintain plant efficiency and reduce operational risks.
1.5. Automation ensures compliance reporting and audit trail generation in demanding operating environments.
Trigger Conditions
2.2. Detection of abnormal frequency or voltage readings via IoT sensors.
2.3. Automation based on time-scheduled maintenance or utility provider signals.
2.4. Automated detection via AI forecasts for demand surges (weather, grid loads, calendar events).
2.5. Manual triggers by operators in emergency scenarios.
Platform Variants
• Feature/Setting: Energy Analytics API; configure webhook triggers for demand peaks; automate API call on threshold breach.
3.2. Siemens MindSphere
• Feature/Setting: Rule Engine & Data Connector; automate load-shedding actions upon sensor input breach; configure REST API endpoint.
3.3. Honeywell Forge
• Feature/Setting: Real-Time Monitoring Alerts; set automated rules for power spike notification and load reduction.
3.4. GE Digital Predix
• Feature/Setting: Asset Performance Management; automate script for peak detection, invokes load-shedding sequence.
3.5. ABB Ability
• Feature/Setting: Energy Management Portal; configure automated alarms/event API to push load shedding commands.
3.6. Emerson Ovation
• Feature/Setting: Process Automation Rule Set; automate notifications on peak detection and control relays for shedding.
3.7. OSIsoft PI System
• Feature/Setting: Event Frames & Notifications; automatedly create event, notify via email/SMS API on breach.
3.8. Azure IoT Hub
• Feature/Setting: Automated Rules & Logic Apps; automate device actions, shed loads via custom API integration.
3.9. AWS IoT Events
• Feature/Setting: Event Detector; configure automated load-shedding workflow and third-party notification.
3.10. IBM Maximo
• Feature/Setting: Work Management API; automated creation of work orders upon overload trigger.
3.11. SAP Energy Management
• Feature/Setting: Automated Energy Monitoring Module; automate peak tracking, configure alerts via API endpoint.
3.12. Wonderware (AVEVA System Platform)
• Feature/Setting: Alarm Management; automated trigger of scripts for load reduction and event logs.
3.13. Twilio SMS
• Feature/Setting: Messaging API; automate SMS alerts to on-call engineers upon peak detection.
3.14. SendGrid
• Feature/Setting: Email API; automated load breach notifications to teams and compliance emails.
3.15. PagerDuty
• Feature/Setting: Event API; automate incident escalation to management dashboards.
3.16. Slack
• Feature/Setting: Incoming Webhooks; configure automated channel alerts for rapid peak response.
3.17. Microsoft Teams
• Feature/Setting: Connector API; automate posting load alerts to dedicated teams’ channel.
3.18. Google Cloud Pub/Sub
• Feature/Setting: Topic Subscription; automatedly publish peak events, integrate response automators.
3.19. Red Hat Ansible
• Feature/Setting: Automation Playbooks; automate shutdown/startup of loads from control room.
3.20. Grafana
• Feature/Setting: Alerting Rules; automate dashboard pop-ups and external notifications on peak crossings.
Benefits
4.2. Automator speeds up incident response, prevents equipment damage, and safeguards grid stability.
4.3. Automated load management reduces costs by avoiding peak charges and unnecessary downtime.
4.4. Ensures consistent implementation of demand-side management automation policies across sites.
4.5. Automated audit trails and reporting simplify regulatory documentation and data-driven optimization.