ISO 50001 · ENERGY MANAGEMENT · MANUFACTURING
ISO 50001 and real-time energy measurement.
How to turn electrical measurements into information for identifying significant energy uses, developing indicators, finding opportunities and verifying improvements in manufacturing.
Energy performance becomes manageable when measurement is linked to operations.
Energy, production, process states and relevant variables form a coherent operational picture.
VERIFIED STANDARDS FRAMEWORK
ISO 50001 structures continual improvement in energy performance around measurable information.
ISO 50001:2018, confirmed by ISO in 2024 and supplemented by Amendment 1:2024 on climate action, sets out the requirements for an energy management system (EnMS). Its approach allows each organisation to define the instrumentation, acquisition frequency and data architecture it needs according to its energy uses, objectives and the decisions it must support.
Requirements for the energy management system (EnMS): policy, planning, energy review, objectives, operational control, monitoring, analysis, evaluation and continual improvement.
Guidance for establishing, using and maintaining energy performance indicators (EnPI, Energy Performance Indicators) and energy baselines (EnB, Energy Baselines), including measurement, monitoring and demonstration of improvement.
Principles and guidance for measurement and verification (M&V, Measurement and Verification) of the energy performance of an organisation or its constituent parts.
MEASUREMENT DETAIL
A monthly bill answers one question. A signal with operational context can answer many more.
Each level addresses a different need. A main meter may be sufficient to consolidate monthly consumption. Separating production from idle operation, comparing recipes, verifying an improvement or monitoring a significant energy use calls for submetering, historical data and operational context. A measurement architecture becomes more useful when its resolution matches the decision the plant needs to make.
Temporal resolution is designed around the phenomenon being measured.
Phenomena that develop over hours can be analysed at longer intervals. Transitions, cycles, load sequences and rapid equipment responses require higher resolution. The engineering task is to capture the detail needed to explain the behaviour while keeping data storage, communications, processing and traceability efficient.
MANUFACTURING USE CASES
Where detailed measurements provide more insight than accumulated kWh alone.
Separating processes, machines, furnaces, compressors, HVAC and other energy uses makes it possible to establish which loads actually account for a significant share of consumption.
Consumption outside production may be due to heating, temperature maintenance, pumping, compressed air, lighting or other functions. Data with operational context helps distinguish technical requirements from opportunities to reduce consumption.
Relating energy to tonnes, parts, productive hours, cycles, temperature or other relevant variables turns absolute kWh values into comparable indicators.
If the same operating state starts to require more power or energy, this can warrant investigation of maintenance needs, fouling, leaks, friction, control or configuration.
A before-and-after comparison must account for production, weather, operating hours, recipe and other relevant variables. ISO 50015 and ISO 50006 help structure this verification.
Interval histories reveal whether excess consumption occurs during start-up, production, product changeovers, cleaning, idle periods or outside the shift.
Simultaneous measurement of several electrical supplies allocates consumption to the main machine, peripherals and utilities, making it easier to pinpoint changes in energy behaviour.
Power, energy, operating time and tariff can be analysed together to identify higher-cost periods. Demand management must reflect the applicable tariff structure.
Continuous monitoring extends verification beyond the day of the intervention and confirms whether the new behaviour is sustained over weeks and months.
EnPI · EnB · RELEVANT VARIABLES
Compare energy performance under equivalent conditions.
Total consumption becomes meaningful when it is related to production activity and the variables that explain its variation. ISO 50006 structures this comparison through energy performance indicators (EnPI), energy baselines (EnB) and relevant variables.
SEC = kWh / unit of output
SEC (Specific Energy Consumption; energy per unit of output) is useful when the unit of output represents the process well and the relationship between energy and production is sufficiently stable.
Ê = β₀ + β₁·Production + β₂·Temperature + …
When several variables affect consumption, a statistical model can estimate expected energy use under comparable conditions.
EVIDENCE FROM DOCUMENTED CASE STUDIES
Documented cases show the value of integrating management, measurement and verification.
The following cases come from the US Department of Energy and its Superior Energy Performance programme (SEP/SEP 50001, concluded in 2025). The results relate to complete management systems in which measurement, analysis, operations and improvement work together. Instrumentation provides the evidence needed to identify opportunities, support decisions and verify the results achieved.
DOE reports annual savings of approximately USD 450,000 under 50001 Ready. The case study identifies the purchase of devices to measure energy across different systems and equipment as the most significant investment; these measurements then informed operating decisions.
The six sites improved their energy performance by an average of 7.3% and reported combined annual energy savings worth approximately USD 3.6 million.
DOE documented a 12.6% improvement in energy performance and estimated annual savings of approximately USD 716,000.
DOE reported a 16.5% improvement over three years, annual savings of approximately USD 52,000 and implementation costs of USD 127,000 recovered in less than two and a half years.
In their 50001 Ready experience, the teams highlighted the value of reviewing energy data proactively to identify problems before discovering them at month-end, after the energy had already been consumed.
Measurement, modelling, regular review and verification form a management discipline that helps identify opportunities and sustain improvements. Instrumentation makes behaviour visible; engineering and operational measures turn that information into better performance.
SCENARIO CALCULATOR
Explore the return on investment (ROI) of an energy improvement.
The calculator combines consumption, tariff, energy improvement, investment and recurring costs to build evaluation scenarios. Replace the initial values with your plant data and use a normalised improvement that can subsequently be verified against the EnMS baseline and indicators.
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MEASUREMENT PLAN
Design measurement around the decisions it needs to support.
| Question | Engineering implication |
|---|---|
| What scope needs to be managed? | Entire plant, process, SEU, line, machine, subsystem or circuit. |
| What phenomenon needs to be detected? | Determines temporal resolution, retention and the need for states or events. |
| Which variables explain consumption? | Production, weather, shifts, recipe, material, pressure, temperature, speed or other relevant variables. |
| What accuracy is needed? | Meter and transformer selection, range, installation, calibration and verification. |
| How will the data be synchronised? | Common time reference, matching periods, production-order identification and handling of missing data. |
| Who will use the data? | Responsibilities, alarms, dashboards, review frequency and rules for action. |
APPLICATION WITH KERN IoP | ENERGY
KERN IoP | ENERGY provides operational data to strengthen the EnMS.
KERN IoP | ENERGY records and analyses electrical variables from machines, circuits and production cells. When consumption changes with the process state, historical data can be synchronised with production, downtime, product references and other available variables to explain energy behaviour in greater detail.
Where additional engineering adds value.
- Simultaneous measurement of several circuits to separate loads.
- Power and energy histories with resolution suited to the phenomenon.
- Contextualisation with process states and production data where available.
- Indicators per part, kg, cycle, product reference or period when the denominator is reliable.
- Before-and-after comparison and monitoring of persistence.
- Integration with the KERN IoP platform for analysis and historical data.
FREQUENTLY ASKED QUESTIONS
ISO 50001, measurement and energy data.
What level of measurement suits an ISO 50001-based EnMS?
The organisation selects the level of measurement it needs to assess its energy uses, EnPIs and improvement opportunities. The scope can range from main metering to submetering of significant energy uses and high-resolution acquisition where the process requires it.
What does submetering add to main metering?
Submetering associates energy with specific processes, systems or equipment. This separation makes it easier to identify significant energy uses, locate changes in behaviour and assign improvement measures more precisely.
How is temporal resolution selected?
Resolution is defined by the phenomenon to be observed. Stable consumption can be analysed at longer intervals; cycles, transitions and load sequences require greater temporal detail.
How does an EnPI differ from total consumption?
Total consumption expresses the energy used. An energy performance indicator (EnPI) relates that consumption to production or other relevant variables to assess performance under comparable conditions.
How is an energy improvement demonstrated?
Performance is compared with an energy baseline (EnB) using consistent rules and, where appropriate, normalised with relevant variables. ISO 50006 and ISO 50015 provide guidance on indicators, baselines, measurement and verification.
How does monitoring help generate savings?
Monitoring reveals the periods, equipment and conditions that concentrate consumption or show deviations. This evidence helps prioritise engineering and operational measures; the same data can then verify the result and its persistence.
What role does KERN IoP play in an ISO 50001 implementation?
KERN IoP provides measurement engineering, instrumentation, data acquisition, histories and indicators that can be integrated into the EnMS. ISO 50001 certification is carried out by the certification body selected by the organisation.
References
International Organization for Standardization. (2018). ISO 50001:2018. Energy management systems — Requirements with guidance for use. ISO.
International Organization for Standardization. (2024). ISO 50001:2018/Amd 1:2024 — Climate action changes. ISO.
International Organization for Standardization. (2020). ISO 50004:2020. Energy management systems — Guidance for the implementation, maintenance and improvement of an ISO 50001 energy management system. ISO.
International Organization for Standardization. (2023). ISO 50006:2023. Energy management systems — Evaluating energy performance using energy performance indicators and energy baselines. ISO.
International Organization for Standardization. (2014). ISO 50015:2014. Energy management systems — Measurement and verification of energy performance of organizations — General principles and guidance. ISO.
International Organization for Standardization. (under development). ISO/DIS 50012. Energy management systems — Energy data collection plan. ISO. Accessed 2 October 2026.
Therkelsen, P., Sabouni, R., McKane, A., & Scheihing, P. (2017). Conducting a metering assessment to identify submetering needs at a manufacturing facility. CIRP Journal of Manufacturing Science and Technology, 18, 107–114. https://doi.org/10.1016/j.cirpj.2016.10.005
Shrouf, F., Ordieres-Meré, J., García-Sánchez, A., & Ortega-Mier, M. (2017). Internet-of-Things enabled real-time monitoring of energy efficiency on manufacturing shop floors. Procedia CIRP, 61, 376–381. https://doi.org/10.1016/j.procir.2016.11.242
Ren, Y., & Li, G.-P. (2022). A contextual sensor system for non-intrusive machine status and energy monitoring. Journal of Manufacturing Systems, 62, 87–101. https://doi.org/10.1016/j.jmsy.2021.11.010
XM. (2026, 30 January). Resultado preliminar del cálculo de Factor de Emisión del Sistema Interconectado Nacional 2025. XM.
Unidad de Planeación Minero Energética. (2026). Resolución 000085 de 2026: actualización del factor de emisión del Sistema Interconectado Nacional del año 2024. UPME.
U.S. Department of Energy. (n.d.). 50001 Ready and ISO 50001 case studies. Better Buildings & Better Plants.
TECHNICAL REVIEW
Dr.-Ing. Miguel Garzón · Technical Director, KERN IoP
Content reviewed by the technical team at KERN IoP, a division of PM Tec Engineering. Last reviewed: October 2026. Technical profile and publications →
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