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IEC TR 62837:2013 – Energy Efficiency Through Automation Systems
🏭 IEC TR 62837 provides a comprehensive framework for understanding and implementing energy efficiency through automation. It covers discrete manufacturing, process industry, and building automation with specific recommendations.
💡 The report introduces the Energy Managed Unit (EMU) concept – a systematic approach to defining system boundaries, measuring energy consumption, and establishing KPIs for energy efficiency improvement.
1. Scope and Generic Models for Energy Efficiency
IEC TR 62837:2013, prepared by TC 65 (Industrial-process measurement, control and automation), provides guidance on achieving energy efficiency through automation systems. It covers organizational issues, energy managed units (EMU), generic tools and methods, applications in discrete manufacturing and process industry, and component-level considerations.
Clause 5 establishes functional hierarchy models based on IEC 62264, mapping energy functions across levels from Level 4 (business planning) down to Level 1 (sensing and actuation). This hierarchy provides a structured approach to understanding where automation can most effectively influence energy consumption. Key energy functions include energy monitoring, analysis, optimization, and control at each level.
2. Energy Managed Units and Key Performance Indicators
The EMU concept (Clause 6.2) is central to the report. An EMU defines a system boundary with measurable energy inputs and outputs, enabling systematic energy performance assessment. Each EMU should have: defined boundary, measured energy consumption data, identified driving factors (production volume, weather, etc.), energy baseline model, and appropriate KPIs.
Clause 6.4 provides detailed guidelines for defining KPIs. A proper KPI should have: a clear definition with mathematical formula, measurable driving factors, defined measurement methodology, target values, and review frequency. Examples include Specific Energy Consumption (SEC = total energy / production unit), Energy Cost Rate, Peak Demand, and Load Factor. The report presents a KPI description template based on ISO 22400-2 for consistent documentation.
3. Applications, Components, and Engineering Insights
Clause 7 addresses applications: Discrete manufacturing (automotive production as case study, with recommendations for production scheduling, equipment state management, and compressed air systems), Process industry (recommendations for combustion control, steam systems, heat recovery, and advanced process control), and Building automation (HVAC optimization, lighting control, and facility management integration).
Clause 8 covers components including actuators, electrical drives with standardized intermediate current link concepts, and the ‘RENKEI’ control approach from Japan (Annex E) which coordinates multiple energy-consuming units through hierarchical optimization. Annex F provides practical measurement and control technologies including air leakage detection, control valve optimization, combustion control with O2/CO analysis, advanced process control (APC), and optimal operational planning. These technologies typically achieve 5-20% energy savings in industrial applications.
Energy Efficiency KPIs for Automation Systems
| KPI | Formula | Application | Typical Savings |
|---|---|---|---|
| Specific Energy Consumption | SEC = E_total / P_unit | Manufacturing processes | 5-15% |
| Energy Cost Rate | Cost per production hour | Cost management | 3-10% |
| Peak Demand | Max kW in billing period | Demand management | 10-20% |
| Load Factor | Avg load / Peak load | Equipment utilization | 5-15% |
| Combustion efficiency | Excess O2 optimization | Process heaters/boilers | 3-8% |
| APC savings | Reduction in variance | Distillation, reactors | 5-15% |
Frequently Asked Questions
Q1: What is an Energy Managed Unit (EMU)?
An EMU is a defined system boundary with measurable energy inputs and outputs. It enables systematic energy performance assessment by defining boundaries, measuring consumption, identifying driving factors, establishing baseline models, and setting appropriate KPIs.
Q2: How can automation systems improve energy efficiency?
Automation improves energy efficiency through production scheduling optimization, equipment state management (reducing idle time), advanced process control (APC) for tighter setpoint control, variable speed drives, combustion optimization, heat recovery coordination, and building energy management systems.
Q3: What typical energy savings can be expected from implementing these recommendations?
The report indicates typical savings of 5-20% depending on the application. Compressed air system optimization can save 10-30%, combustion control 3-8%, APC 5-15%, and comprehensive building automation 10-25%. The exact savings depend on baseline conditions and implementation quality.
