Gas grids: calorific value, hydrogen blending, compressors, leaks
Gas distribution grids lack measuring points for gas quality, flows and losses. How state estimation can fill the gaps, checked first on your data.
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Distribution grids lack measuring points for gas quality
What happens. The calorific value of the gas is the basis for billing, but in a distribution grid it is measured at a few entry points only. For every customer in between, a value is assigned by rule.
What it costs. When gas of different quality is fed in at several places, the value at the customer moves away from the assigned one. The result is billing errors, in one direction for some customers and in the other for the rest.
Why the usual fix fails. More measuring points are expensive in a branched grid. A fixed zone value is an average that hides the difference.
How a fixed-price remote diagnosis checks it. From feed-in data, flows and pressures, I check whether the gas quality along the grid can be tracked by state estimation. The fixed-price remote diagnosis shows how accurately the calorific value at customer points could be computed, and which measuring point would improve it most.
The hydrogen share varies along the pipe
What happens. Where hydrogen is blended into natural gas, the share is not the same everywhere. It depends on how much is fed in, how much is drawn and how the gas flows through the grid.
What it costs. Burners, engines and gas meters in the field are specified for a range. Where the share rises above it, there are burner problems, wrong meter readings and billing disputes.
Why the usual fix fails. A limit on the blend at the feed-in point keeps the average safe but not each node. Measuring the share everywhere is too expensive.
How a fixed-price remote diagnosis checks it. From feed-in and flow data, I check whether the hydrogen share at each node can be computed. The fixed-price remote diagnosis tells you which nodes get closest to the limit, and whether a computed share can be used to set the feed-in.
The storage in the pipes is managed by hand
What happens. A gas grid stores gas in its own pipes. Pressure rises and falls with demand, and dispatchers use this line pack to cover peaks and absorb surpluses, mostly by experience.
What it costs. Hand management leads to extra balancing gas bought or sold at poor prices, and to pressures kept higher than needed, just in case.
Why the usual fix fails. A rule of thumb does not know the next hours of demand and feed-in. A simple pressure limit protects the grid but leaves the buffer unused.
How a fixed-price remote diagnosis checks it. From pressure, flow and demand history, I estimate how much gas the grid holds and how it moves. The fixed-price remote diagnosis tells you whether planning with line pack can cut balancing cost, and what forecasts it would need.
Compressor units are dispatched by habit
What happens. In a compressor station the operators choose which units to run and at what load, usually in the order they always have. The units differ in efficiency and in how they behave at part load.
What it costs. Fuel gas is burnt or power drawn for compression that a better combination would not need. Units run at low-efficiency points and wear unevenly.
Why the usual fix fails. Fixed start orders ignore the actual flow and pressure ratio of the day. Replacing units is a big investment for a gain that nobody has quantified.
How a fixed-price remote diagnosis checks it. From station logs (flows, pressures, fuel or power use, unit states), I compare the units in use with the best combination for each operating point. The fixed-price remote diagnosis tells you whether optimising dispatch brings a gain worth the effort, and how an operator would use it.
Small leaks are hidden in measurement noise
What happens. A small leak in a gas grid is smaller than the scatter of the flow meters and the normal variation of demand. The balance between gas in and gas out does not show it.
What it costs. Losses run for months before someone finds a smell or a damaged line. They are a safety risk and a cost, and European methane rules require gas companies to survey their equipment for leaks regularly and to repair them quickly (European Commission).
Why the usual fix fails. Surveys on foot or by vehicle find leaks one segment at a time and the cycle is long. Raising the alarm threshold on the balance avoids false alarms but hides small leaks.
How a fixed-price remote diagnosis checks it. From pressure and flow records, I check how small a loss a model of the grid could still tell from noise. The fixed-price remote diagnosis shows whether model-based leak detection is realistic for your grid, and where surveys should go first.
Pressures are kept high everywhere
What happens. Pressure in a gas grid is set high enough to supply the farthest, coldest-day customer, and then left that way. On most days the demand is far lower.
What it costs. Higher pressure than needed means more compression energy and more leakage, since leaks grow with pressure.
Why the usual fix fails. Lowering pressure by hand on mild days is possible, but a wrong guess risks a supply failure and nobody wants to take that.
How a fixed-price remote diagnosis checks it. From pressure and flow data of the grid, I check how low the pressure could go on typical days while all customers are still supplied. The fixed-price remote diagnosis tells you whether pressure optimisation with a forecast of demand is feasible, and how much margin it keeps.
Withdrawal and injection at storage sites are planned roughly
What happens. Cavern and pore storage is filled when gas is cheap and emptied when it is dear, with limits on rates, pressures and temperatures. The plan is made from a spreadsheet and revised with the day’s news.
What it costs. Plans that ignore the physics of the site cost capacity, or hit the limits and force a slowdown. Mistakes on price timing cost money that is hard to see afterwards.
Why the usual fix fails. A simple rule for filling and emptying is robust but leaves value on the table. A detailed reservoir model is slow and hard to keep current.
How a fixed-price remote diagnosis checks it. From past operation and the technical limits of the site, I check how much an optimised schedule could add. The fixed-price remote diagnosis tells you whether storage optimisation is worth building for your sites, and what price and demand forecasts it needs.
Gas meters drift unnoticed
What happens. Gas meters in stations and at customers slowly drift. Nobody knows by how much until the next calibration, which can be years away.
What it costs. The difference ends up as unaccounted gas. It is a loss for the operator, or an error in the customer’s bill, and it hides real leaks in the same balance.
Why the usual fix fails. Calibrating more often costs a lot of field work. A simple balance over the whole grid does not tell which meter is the problem.
How a fixed-price remote diagnosis checks it. From meter readings, flows and pressures, I check whether mass balances over sub-areas can pinpoint a meter that no longer agrees with its neighbours. The fixed-price remote diagnosis tells you whether this cross-check works on your data and which meters to look at first.
Biomethane injection is limited by local demand
What happens. Biomethane producers feed into the local grid, but on summer nights the local demand is lower than their output. The operator has to ask them to stop feeding.
What it costs. Producers lose revenue on every curtailed hour, and the plant may have to flare or store the gas. The operator faces complaints and unused renewable gas.
Why the usual fix fails. Reinforcing the grid or building a compressor to push gas to a higher pressure level is a large investment. A fixed cap per producer ignores how much room there really is.
How a fixed-price remote diagnosis checks it. From flow and pressure data, I compute how much injection the grid can take hour by hour. The fixed-price remote diagnosis tells you whether a computed capacity would allow more feed-in without hardware changes, and when the extra compressor would pay.
Odorant is dosed with a margin
What happens. The gas must smell enough to be noticed in a leak. Odorant is dosed in proportion to the flow, with a setting that has a safety margin on top because the flow measurement is uncertain and the gas quality changes.
What it costs. The margin costs odorant and causes complaints about the smell, especially after a change of gas source. Too little means a safety problem.
Why the usual fix fails. Raising or lowering the dose by hand after a complaint is reaction, not control. A better flow meter at the station is expensive and does not solve the lag between measurement and dosing.
How a fixed-price remote diagnosis checks it. From dosing and flow records, I check how the actual concentration in the grid compares with the target. The fixed-price remote diagnosis tells you whether dosing by a computed flow could reduce the margin safely.
Gas pre-heaters run constantly
What happens. When gas is expanded at a pressure-reducing station, it cools sharply, so pre-heaters warm it first. They are often left on all the time at a fixed output.
What it costs. The heaters burn gas when the outlet temperature would have been fine without them, for instance at low flow or in mild weather.
Why the usual fix fails. Switching them by a timer or a fixed temperature setting ignores the actual flow and the pressure drop. Manual intervention at remote stations is rare.
How a fixed-price remote diagnosis checks it. From station logs (flow, inlet and outlet pressure and temperature, heater output), I compute what temperature the gas would reach with less heating. The fixed-price remote diagnosis tells you whether temperature-led heater control saves gas without risking icing.
Gas demand forecasts are wrong
What happens. The operator or balancing manager forecasts gas demand for the next day. In cold snaps and on holidays the forecast is off by a lot.
What it costs. Forecast errors mean balancing energy at unfavourable prices and, for some, penalties. The gap grows when weather, occupancy and industry demand shift.
Why the usual fix fails. The standard forecast uses a temperature curve and last year’s pattern. A hand correction by the dispatcher fixes yesterday’s error, not tomorrow’s.
How a fixed-price remote diagnosis checks it. From your demand and weather history, I test how much better a short-term forecast can get for your supply area. The fixed-price remote diagnosis tells you what error reduction is realistic and which extra data, such as industrial schedules, would help.
Network measurements are patchy and delayed
What happens. Pressures and flows in the gas grid come from sensors that report at different intervals, with gaps and delays. The control room sees a picture that is old and incomplete.
What it costs. Decisions on pressure, feed-in and maintenance are made without a current state of the grid, and each study needs the data prepared from scratch.
Why the usual fix fails. Adding more sensors helps a little, at high cost in a grid with many small stations. Reading the data into a spreadsheet each time does not make it a state picture.
How a fixed-price remote diagnosis checks it. I look at what data you have, how often it arrives and where the gaps are. The fixed-price remote diagnosis tells you which state estimate you could build from it, and what the first data-layer step would be.
Distribution networks are planned for shrinking, uncertain gas demand
What happens. A gas package adopted by the federal cabinet in March 2026 would require distribution operators to draw up network development plans for 10 to 15 years: which areas are kept, converted to hydrogen or shut down (Zeitung für kommunale Wirtschaft). Gas demand is expected to fall, but nobody knows how fast in which street.
What it costs. Wrong guesses either leave pipes that nobody uses to be maintained, or switch off an area that still needs gas. Fees rise for the customers who stay.
Why the usual fix fails. A single scenario per grid is easily overturned. A decommissioning order based on pipe age ignores where demand actually goes.
How a fixed-price remote diagnosis checks it. From your grid records and demand history, I check how a forecast per supply area and an optimised shutdown sequence would look. The fixed-price remote diagnosis tells you whether this planning can be done on your data, and what a defensible decommissioning order needs.
More problems that concern this industry
These problems are described on the page of the industry where they matter most:
- Gas processing keeps large margins to the dew point (Refinery / petrochemical)
- Compressor stations keep large surge margins (Refinery / petrochemical)
- New hydrogen pipelines have no operating experience (Hydrogen and liquefied gas infrastructure)
- Hydrogen metering must be proven accurate (Hydrogen and liquefied gas infrastructure)
- Liquefied natural gas terminals must send out more gas with limited flexibility (Hydrogen and liquefied gas infrastructure)
Check it on your plant first: a fixed-price remote diagnosis
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Within a fixed scope and at a fixed price, I review your data, control structure and measurements remotely and tell you whether the problem on this page is behind your symptoms and what fixing it would take. You get a short summary for decision-makers and a technical report for your engineers.