Physical Address
304 North Cardinal St.
Dorchester Center, MA 02124
IEC TS 62872-2015: Industrial Facility Smart Grid Interface โ Industrial-Process Measurement, Control and Automation
📌 Key Insight: IEC TS 62872 bridges the gap between industrial automation (IEC 62264 / ISA-95) and smart grid communications (IEC 61850 / OpenADR). It defines the interface for information exchange between industrial facilities’ energy management systems and the smart grid, enabling demand response, load optimization, and distributed energy resource integration in industrial settings.
1. 🏭 Industrial Energy Management and the Smart Grid Interface
Industrial facilities are among the largest consumers of electrical energy, yet they have historically been poorly integrated into smart grid demand response programs. While smart grid standards for home and building automation have matured, industrial requirements differ significantly due to the complexity of production processes, the criticality of power quality, and the need to maintain production targets while optimizing energy consumption.
IEC TS 62872, developed by IEC TC 65 (Industrial-process measurement, control and automation), addresses this gap by defining the interface between a Facility Energy Management System (FEMS) and the smart grid. The standard profiles and extends existing standards to support the management and control of electric energy flow between the industrial facility and the smart grid.
🔧 Engineering Insight: The standard identifies three distinct architectural levels for industrial energy management: Level 2 (Facility enterprise systems — ERP, MES), Level 1 (Control systems — SCADA, DCS, PLC), and Level 0 (Physical industrial processes and field devices). The FEMS operates at the intersection of Level 2 and Level 1, translating smart grid signals (price, demand response events) into actionable control strategies without disrupting production.
| Category | Information | Direction | Protocol Examples |
|---|---|---|---|
| Energy price signals | Real-time pricing, TOU rates, peak pricing events | Grid → Facility | OpenADR 2.0b |
| Demand response events | Load reduction requests, schedule, duration | Grid → Facility | OpenADR, IEC 61850 |
| Load capability | Current load, available flexibility, shed capacity | Facility → Grid | OpenADR, OASIS EI |
| Generation status | On-site generation output, storage state of charge | Facility → Grid | IEC 61850, SEP 2.0 |
| Measurement data | Power quality, consumption history, forecast | Bi-directional | IEC 61850, NAESB ESPI |
| Operational status | Equipment state, alarm conditions, maintenance mode | Facility → Grid | IEC 61850, OPC UA |
2. 🌐 Architecture and Communication Requirements
The standard defines a system interface model structured around the concept of a FEMS gateway that mediates between the smart grid network and the facility’s internal automation network. The architecture follows a layered approach with clear security boundaries.
Security requirements are extensively addressed, referencing IEC 62443 (Industrial communication network security) standards. The interface must support authentication, authorization, encryption, and audit logging. Given that industrial facilities may have direct load control capabilities — where the grid operator can directly shed loads — security is paramount to prevent malicious control of industrial processes.
Communication requirements include:
- Network availability: The interface must support redundant communication paths where loss of grid communication could impact facility operations
- Time synchronization: Precision time synchronization (IEC 61588 / IEEE 1588) is required for coordinated power quality monitoring and event correlation
- Audit logging: All energy management actions, particularly those involving automated demand response, must be logged with timestamp, actor, and outcome details
⚠️ Critical Security Note: The standard warns that direct load control from the smart grid — where an external entity has authority to reduce industrial load — requires the highest level of security assurance. The facility must maintain ultimate control authority over its processes. The interface must support “opt-out” mechanisms that allow the facility to override external commands when production requirements take priority, with full audit trail of such overrides.
3. 📊 Demand Response Energy Management Model
Annex B of the standard provides a detailed application example of a demand response energy management model applied to an industrial cooling task. The model demonstrates how a complex industrial process can be decomposed into manageable energy management tasks.
The model architecture consists of:
- Main architecture: A hierarchical structure where the FEMS communicates with the grid through the interface, while managing multiple energy-consuming tasks within the facility
- Task structure: Each industrial process is modeled as a “task” with configurable parameters including priority, flexibility window, energy consumption profile, and allowable interruption duration
- Approach 1 (Direct control): The grid sends price/event signals, and the FEMS autonomously optimizes task scheduling within facility constraints
- Approach 2 (Cooperative): The grid requests specific load profiles, and the facility responds with feasible alternatives, allowing negotiation before load changes are executed
The standard evaluates existing smart grid information models for applicability to industrial facilities, including OpenADR 2.0b, OASIS Energy Interoperation 1.0, NAESB ESPI, ISO/WD 17800 (FSGIM), and SEP 2.0 (IEEE 2030.5). Each is analyzed for coverage of industrial-specific requirements such as production-aware scheduling, multi-fuel source coordination, and process safety interlocks.
✅ Implementation Recommendation: For practical deployment, the standard recommends a phased approach: (1) Implement monitoring first — establish the information flows for energy consumption, power quality, and on-site generation data; (2) Add price-responsive automation — enable automated load shifting based on energy price signals; (3) Deploy demand response participation — connect to DR programs with appropriate security and override mechanisms; (4) Integrate distributed energy resources — coordinate on-site solar, storage, and cogeneration with grid requirements.
| Standard | Focus | Industrial Suitability | Key Gap |
|---|---|---|---|
| OpenADR 2.0b | Demand response signaling | High — widely adopted | Limited production context |
| OASIS EI 1.0 | Energy interoperation | Moderate — flexible schema | Complexity for simple deployments |
| NAESB ESPI | Energy usage information | Low — consumer focused | No industrial process model |
| ISO 17800 (FSGIM) | Facility smart grid model | High — facility oriented | Under development at time of writing |
| SEP 2.0 (IEEE 2030.5) | Smart energy profile | Moderate — residential roots | Limited scalability for large facilities |
4. 📋 FAQs
Q1: How does IEC TS 62872 relate to IEC 62264 (ISA-95) and IEC 61850?
IEC TS 62872 sits at the intersection of two established standard families. IEC 62264 / ISA-95 defines the enterprise-control system integration for manufacturing operations management. IEC 61850 defines communication protocols for power utility automation, including substation and DER integration. IEC TS 62872 profiles both to create a coherent interface: the FEMS connects to the smart grid using IEC 61850-derived information models while aligning with the ISA-95 functional hierarchy for facility-side operations.
Q2: What are the key differences between industrial and residential smart grid interfaces?
Industrial interfaces must address: (1) production-aware scheduling — load shedding must consider production targets and batch processes; (2) power quality requirements — industrial processes often require tighter voltage/frequency regulation; (3) multi-energy carrier coordination — many facilities use electricity, natural gas, steam, and compressed air; (4) process safety — energy management actions must not compromise process safety interlocks; (5) liability and control — the facility retains ultimate control authority over its processes, unlike residential DR where control is often delegated to the utility.
Q3: What role does on-site generation play in the industrial smart grid interface?
Many industrial facilities have on-site generation (cogeneration/CHP, solar PV, diesel/gas generators) or energy storage. The standard models these as distributed energy resources (DERs) that can respond to both facility internal load requirements and grid signals. The interface must communicate DER status, available capacity, and operating constraints. During grid emergencies, on-site generation can island the facility or export power to the grid, but the interface must ensure safe transitions between grid-connected and island modes.
Q4: Is the standard applicable to small and medium industrial facilities, or only large ones?
While the standard was developed with large industrial facilities in mind (where energy costs and demand response potential justify the investment), the architectural principles and information models are scalable. Small and medium facilities can implement a subset of the interface, typically starting with monitoring and price-responsive automation. The use of OpenADR as a baseline protocol facilitates this scalability, as OpenADR implementations are available at various price points and complexity levels.
