The king of indicators: specific energy consumption

The starting point for almost all industrial energy management is specific energy consumption: energy per unit produced — kWh per tonne, per part, per batch, per square metre treated. It is the sector’s EnPI par excellence because it speaks the factory’s language: it relates energy to what the plant exists to do.

Below it sit the process-specific indicators that submetering makes possible: the oven’s consumption per tonne baked, the compressor’s per cubic metre of air delivered, refrigeration’s per hour of cold store held at set point. And, with yesterday’s instalment, its version in euros: energy cost per unit produced — the figure a management committee understands without translation.

The four mistakes that invalidate an indicator

Most EnPIs that fail don’t fail for lack of data: they fail by design. Four patterns keep recurring.

1 · Comparing without normalising. January’s kWh/tonne is not comparable with August’s if the plant is heated in winter, nor is a month at full load comparable with one at half load. A serious indicator is normalised for its explanatory variables —production, outdoor temperature, product mix, operating hours— just as required by the baseline of a CAE (Spain’s Energy Savings Certificates) application (in Spanish). Without normalisation, the indicator measures the calendar, not efficiency.

2 · Ignoring partial load. Almost no process consumes proportionally: an oven at half load uses far more than half of what it uses at full load. Specific consumption gets worse when production falls, even though nobody is operating any worse — and improves when production rises, even though nobody is operating any better. Anyone who doesn’t know this ends up praising and scolding the production team for commercial decisions.

3 · Changing the formula without leaving a trail. An EnPI that is recalculated differently every quarter —a different boundary, a different unit, a different allocation criterion— cannot demonstrate improvement to anyone: not to management, not to the ISO 50001 auditor, not to a verifier. Methodological consistency is worth more than sophistication.

4 · Publishing it late. A monthly indicator that arrives on the 20th of the following month describes history. The same indicator, daily or weekly, on the production whiteboard, drives behaviour — which is its only real purpose.

The minimum scorecard that works

For a medium-sized industrial plant, experience keeps showing the same pattern: four or five well-chosen indicators beat forty.

1. Plant-wide specific consumption (kWh/unit), normalised, weekly — the big picture.
2. Specific consumption of the dominant process, daily — where the game is won or lost.
3. Non-production consumption (nights, weekends, shutdowns) — the phantom-consumption detector, and the cheapest saving there is.
4. Energy cost per unit (€/unit, from yesterday’s instalment) — the one you take to the committee.
5. If ISO 50001 applies or there is a CAE application on the horizon: the EnPIs for the significant energy uses required by the standard, with their documented baseline — as we saw when explaining what the auditor asks for (in Spanish).

Each one with an owner, an alarm threshold and a fixed review time. An indicator without those three things is just a chart.

The PowerCloud view

EnPIs almost always die of maintenance: someone has to gather consumption, production and temperature data every week, recalculate, normalise and publish — and by the third month that someone has another urgent priority. PowerCloud keeps them alive: it calculates the indicators from the utility meter and submeter readings, normalises them by the variables you define, alerts you when they go outside their thresholds and keeps the historical series with the methodological consistency that an auditor —or your own committee— will want to go through. The production whiteboard is still the whiteboard; what changes is that nobody has to put together the number written on it by hand any more.

That brings the series to a close: measure by process, cost in real euros, manage by indicators. Three steps, each useless without the one before — and the third is the only one visible from the boardroom.

How many energy indicators does your plant have today — and how many are actually reviewed every week? We help you set up the minimum scorecard: which four or five EnPIs fit your process, which variables to normalise them by and how to keep them alive without anyone recalculating them by hand. We start from your real load profile — we obtain it from Datadis (the official platform of Spain’s electricity distribution companies) with your authorisation. Diagnostic session: 30 minutes, no obligation.

Sources: UNE-EN ISO 50001:2018 (EnPIs and significant energy uses); QUAMA and Gradhoc (industrial energy performance indicators); Cuerva and Apolo Energies (specific consumption and industrial practice); previous posts in this series at powercloud.es/noticias/.

La entrada Energy efficiency indicators in industry: the ones a committee understands and the mistakes that invalidate them se publicó primero en Powercloud | Energy monitoring and management.

What the main meter can’t tell you

The smart meter on your supply (in Spanish) is a great starting point: a quarter-hourly load profile, free of charge and already installed. But it gives you a single figure for the whole plant. It tells you that at 11:15 yesterday you were drawing 480 kW; it doesn’t tell you whether that was the compressors, the furnaces, the refrigeration or a valve left open that nobody spotted.

That blind spot has concrete consequences: phantom (idle) consumption at weekends and during shutdowns stays hidden within the total; two identical lines that consume differently (in Spanish) can’t be compared; and any efficiency project — or its application for CAEs (Spain’s Energy Savings Certificates) — lacks the measurement boundary that a verifier requires.

What submetering means in practice

It means installing secondary metering devices — panel-mounted power analysers, current clamps, line meters — in the areas, processes or machines that carry real weight. You don’t need to cover the entire plant: the rule of thumb is to start with the significant energy uses — the three to six points that account for the bulk of consumption or of uncertainty.

The technology has matured and become cheaper: IIoT (Industrial Internet of Things) devices that speak the usual plant protocols—Modbus, BACnet, M-Bus, even over Wi-Fi and/or LoRaWAN radio where cabling is expensive—with panel-by-panel installation that rarely requires a shutdown. For an industrial SME, basic metering by line or process has gone from being an engineering project to a job of a few days.

The savings ranges documented by the industry when moving from a main meter to process-level metering run from 20% to 30% of consumption in facilities with no prior monitoring — not because measuring saves anything in itself, but because of what shows up when you look: idle consumption, equipment running outside operating hours, performance drift, compressed-air leaks, forgotten setpoints.

Where to start: the five points that almost always pay for the installation

1. Compressed air — the king of leaks and idle consumption; almost always the first finding.
2. Industrial refrigeration and HVAC — big consumers running on schedules that nobody reviews.
3. The line or process with the greatest weight in production — the basis for the cost per unit produced that we’ll look at in the second instalment.
4. Duplicated processes — two furnaces, two lines, two cold rooms: metering both turns comparison into a method.
5. The main feeder of each building or area — so the total always adds up and any gaps come to light.

With those points metered, every new reading is cross-referenced with the main meter’s load profile and the market price — and that’s where the second instalment of this series begins: what each process really costs, which we publish on Wednesday.

The PowerCloud view

Submetering without a platform is just a collection of little screens on electrical panels. PowerCloud integrates the secondary measurements — via standard plant protocols — alongside the main meter’s load profile and the quarter-hourly price in your contract, and turns them into what actually gets used: comparisons between processes, alerts for consumption that breaks its usual pattern, detection of phantom loads during shutdowns, and the documented measurement boundary that any submission — CAEs, ISO 50001, grants — will sooner or later require. Metering by machine is half the job; having someone look at the data every day is the other half.

Does your plant have a single meter for everything? It’s the most common starting point. We’ll help you design a minimum submetering map — which three to six points to meter first, with what equipment and what return to expect — using your actual main-meter load profile as the basis.

La entrada Industrial submetering: the meter tells you how much your plant consumes — machine-level metering tells you who se publicó primero en Powercloud | Energy monitoring and management.

What has changed to make the numbers add up

Until recently, industrial batteries were a hard investment to justify: expensive, with an ambiguous regulatory framework and with moderate spreads. In 2026, all three conditions have changed at once.

The spread has soared, and it is structural. Solar PV is sinking midday prices —this summer there have been days close to zero— while the evening peak is set by gas-fired combined-cycle plants, under strain from the Middle East crisis. The duck curve we have been following on this blog is not an anomaly: it is how the system now works with ever more solar. And the quarter-hourly market, in operation since May, makes the troughs and peaks even more visible and easier to exploit.

Battery costs keep falling. A complete commercial and industrial system (from 100 kWh to 10 MWh, including inverters and management system) currently sits in the range of $200-350 per installed kWh, with lithium iron phosphate (LFP) chemistry dominating on cost and safety. Cells keep getting cheaper, and the first sodium battery factory in Zaragoza looks set to push prices down even further.

The regulatory framework has turned favourable. Spain’s Royal Decree-Law (RDL) 7/2026 introduced three specific measures for storage:

• Flexible grid access: access and connection permits for storage become flexible from the demand side, making use of grid margins that the traditional firm model left unused.
• Free depreciation: a company can depreciate its investment in renewables-linked storage on an accelerated basis —up to 100% in a single year— subject to a ceiling of €500,000 a year.
• Exemption from charges for storage facilities that move from firm to flexible access.

And there is a fourth piece for the future: the capacity mechanism approved by the European Commission on 29 May, with funding of up to €9 billion for 2026-2036, technology-neutral and explicitly including batteries. It is an additional revenue stream that does not yet exist in practice, but it will exist during the lifetime of any battery installed today.

How an industrial battery earns its keep (not just through arbitrage)

The usual mistake is to assess a battery on a single source of value. Well-managed installations stack several — what the industry calls revenue stacking:

A battery that only does arbitrage may end up with a modest return. One that combines three or four of these sources can double or triple the return. Industry estimates for industrial users put the achievable reduction in energy costs in the range of 15-30% for suitable profiles.

The part almost nobody talks about: a battery is only as good as its operating strategy

This is the nuance that separates profitable installations from disappointing ones. A battery does not decide on its own when to charge and when to discharge. It needs an operating strategy that, every day —every quarter of an hour, in fact— answers a question with several variables: do I buy from the grid now, draw on the battery, or hold the charge for a better peak?

That decision depends on things that change constantly: tomorrow’s quarter-hourly price (published the day before), the forecast of your own consumption, expected solar output if you have any, the current state of charge, the degradation each cycle causes, and your forecast power peaks. Running the battery on ‘fixed rules’ —always charging at 14:00, always discharging at 21:00— captures only part of the value and, on some days, actually loses money.

In practice, this turns the battery into a problem of data and optimisation, not just of electricity: you need the plant’s actual consumption profile, market prices at their current granularity, and a system that cross-references the two and decides —or recommends— each day’s operation.

What companies can do: the right order

1 · Before asking for quotes, measure. The right battery size comes from the plant’s actual load profile —twelve months, at hourly or, better still, quarter-hourly granularity— not from the contracted power or the bill. Oversizing is the quickest way to ruin the return.

2 · Simulate with your data, not with averages. The same 500 kWh system can deliver an excellent return at a plant with an evening peak and a mediocre one at a plant with flat night-time consumption. The simulation that matters cross-references your actual profile with last year’s actual prices: how much you would have saved, with what charging and discharging pattern, and with how many cycles.

3 · Make the most of the tax window. Free depreciation under RDL 7/2026 applies to investments made in 2026. For a €300,000 investment, bringing all the depreciation forward into the first year has a financial impact that can swing the decision — and it has a deadline.

4 · Design the operation from day one. Buying the battery without defining who will operate it and how means buying half an asset. The operating strategy —and the system that executes it— should be part of the project, not an afterthought.

The PowerCloud view

PowerCloud addresses exactly the two phases in which battery projects win or lose on profitability. Before investing: by cross-referencing your actual load profile with quarter-hourly prices from OMIE (the Iberian electricity market operator), we simulate what batteries of different sizes would have done over the last twelve months — savings from arbitrage, peak shaving, use of surplus solar — so that the sizing comes from your data and not from a catalogue. After installation: the platform tracks day-to-day operation, compares actual behaviour with the theoretical optimum and detects when the charging and discharging strategy is leaving money on the table.

The spread is out there, every day, published at 13:00 the day before. The difference between capturing it and watching it go by is having the data and the decision connected.

Would you like to know what a battery would have saved at your plant over the last twelve months? It is a calculation we run with your actual consumption profile and OMIE prices for the period — no catalogue assumptions, just your numbers. If you have not downloaded your profile, we obtain it from Datadis (the official platform of Spain’s electricity distribution companies) with your authorisation. The result gives you the right sizing or, just as valuable, the conclusion that it does not pay off for you yet. A diagnostic session lasting 30 minutes, with no obligation.

Sources: OMIE; Konery (hourly curve, June 2026); EDP (industrial BESS guide); BESSolutions (2026-2036 capacity mechanism); Bird & Bird (storage measures in RDL 7/2026); cntepower and LZY (2026 BESS costs by segment); Merca2 (July 2026 prices).

La entrada On-site industrial batteries: when to buy from the grid and when to draw on your storage se publicó primero en Powercloud | Energy monitoring and management.

Factors such as energy price volatility, European regulatory pressure, sustainability targets and the need to improve operational efficiency are changing the role of energy within organisations.

Against this backdrop, more and more companies are adopting energy management systems (EMS) that make it possible to monitor, analyse and control energy consumption continuously.

The aim is no longer simply to know how much energy is consumed.

The aim is to understand the organisation’s energy behaviour and make decisions that improve efficiency and reduce the financial impact of energy consumption.

What is industrial energy management?

Industrial energy management involves monitoring, analysing and optimising an organisation’s energy consumption in order to improve operational efficiency, reduce energy costs and meet sustainability targets.

In practice, it means collecting energy data, analysing it and using it to make decisions that improve the energy performance of the company’s facilities, production processes and operations.

From energy as a cost to energy as a strategic variable

Energy has not always held this position within companies.

Many experts place a turning point in 1973, when the oil crisis caused a sharp rise in energy prices and forced many industrialised countries to rethink their relationship with energy.

From then on, energy efficiency policies and energy management programmes began to be developed in industry.

Decades later, the publication of the international standard ISO 50001 in 2011 consolidated this approach by establishing a global framework for managing energy within organisations as a structured process of continual improvement.

Today, energy management is increasingly seen as an integral part of business management.

The new energy landscape for industry

Industry now operates in a far more complex energy environment than it did a decade ago.

The main factors driving the development of energy management systems include:

• energy price volatility
• pressure to improve energy efficiency
• decarbonisation targets
• European regulation on efficiency and sustainability.

In Europe, for example, the European Union’s Energy Efficiency Directive requires many companies to carry out periodic energy audits or implement energy management systems to monitor and improve their energy use.

This context has accelerated the adoption of digital platforms capable of providing visibility and control over energy consumption.

What is an energy management system (EMS)?

An energy management system (or EMS) is a platform that collects and analyses energy data to improve an organisation’s energy efficiency.

These systems help companies understand how energy is consumed across their facilities, identify deviations and make data-driven decisions to optimise their energy consumption.

Having energy data does not mean managing energy

Despite this technological progress, many organisations still face a common problem. They have energy data. But that data does not always translate into decisions.

In many industrial companies, energy information:

• is scattered across different systems
• is analysed only occasionally
• or is simply reviewed when the energy bill arrives.

In that scenario, energy is observed but not managed. And that difference is key.

Because energy management is not just about measuring consumption, but about understanding what is happening and acting before the impact reaches the business.

How energy management evolves within a company

In many organisations, energy management evolves gradually as analysis tools and processes are introduced. This process usually goes through three levels:

What is energy control?

Energy control means using real-time energy data to detect deviations, anticipate financial impacts and make decisions that optimise an organisation’s energy consumption.

Energy management platforms such as PowerCloud make it possible to centralise energy data from different sites, analyse it continuously and detect deviations before they have an operational or financial impact.

The platform offers a range of specialised services, such as EnergyControl, a service designed to help organisations understand, control and optimise their energy consumption.

EnergyControl enables you to analyse electricity consumption in real time, identify deviations from energy targets and anticipate the impact of consumption before it shows up on the bill or affects operations.

From energy analysis to decision-making

The real value of energy management lies not in collecting data, but in turning that data into useful information for decision-making.

When an organisation has visibility over its energy consumption and tools to analyse its behaviour, it can start to answer key questions:

1. Which processes consume the most energy?
2. Which sites show deviations from energy targets?
3. How does energy consumption affect operating costs?

This type of analysis means energy stops being merely an operating cost and becomes a variable that can be actively managed within the business.

In this way, energy analysis is no longer a review of the past but becomes a tool for making decisions that improve the company’s efficiency and energy performance.

A matter of business competitiveness

Industrial energy management is no longer limited to one-off efficiency initiatives.

More and more companies are building energy into their management and planning processes, recognising that energy consumption directly affects the organisation’s competitiveness.

When a company is able to analyse its energy behaviour and make data-driven decisions, it gains clear benefits:

• lower energy costs
• improved operational efficiency
• a greater ability to anticipate deviations
• better preparedness for regulatory or energy market changes.

In this context, energy is no longer just an operating cost and becomes a strategic variable within business management.

Organisations that develop energy control capabilities not only improve their efficiency but also strengthen their ability to adapt in an increasingly complex energy environment.

The question many companies are starting to ask

As the energy environment becomes more complex, many organisations are starting to ask themselves a simple question. It is not how much they consume. It is something more fundamental.

Are we really managing our energy…
or simply watching what happens?

La entrada Industrial energy management: from consumption to control se publicó primero en Powercloud | Energy monitoring and management.