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Skype锛歞ddemi33Liquefied natural gas (LNG) is one of the fastest鈥慻rowing segments of the gas market, with trade growing steadily over the last decade as utilities and industries search for lower鈥慶arbon fuels. Turning gas into LNG and back again is, however, brutally energy鈥 and capital鈥慽ntensive. A large share of that intensity sits inside compressor trains.
Across gas operations, compression can account for up to about half of total energy consumption according to analysis shared by Detechtion. In LNG specifically, research on liquefaction cycles shows that the liquefaction step alone can consume around 30% of the total energy required to get LNG from wellhead to burner tip. If your compressor trains and their control systems are not designed and tuned properly, you are effectively leaving throughput, efficiency, and reliability on the table every minute the plant runs.
From a power systems and reliability standpoint, compressors are a double criticality. They draw large, often continuous electrical loads, and their controls depend on clean, uninterrupted auxiliary power. A nuisance trip on a boil鈥憃ff gas compressor or a turbo鈥慹xpander鈥慸riven compander might be rooted in poor control logic or a sluggish anti鈥憇urge valve, but its consequences are felt in the electrical room as sudden load swings, protection operations, and sometimes blackouts in islanded terminals.
This article looks at compressor control systems for LNG facilities from a combined process and power鈥憆eliability perspective. Drawing on real鈥憌orld cases and studies from LNG industry specialists, automation vendors, and compressor OEMs, the goal is to help you answer three practical questions:
How should we select and control our compressors across the LNG value chain? How can advanced control, surge protection, and digital monitoring safely stretch capacity and reduce energy use? How do we keep these control systems and their power supplies reliable over a twenty鈥憄lus鈥憏ear asset life?

Compressors touch almost every stage of the LNG chain. China Compressors and Detechtion both emphasize that compression is essential upstream to pressurize gas for treatment, in midstream pipelines and storage, and downstream in LNG processing, shipping, and regasification.
In and around the liquefaction train, compressors raise feed gas pressure to thermodynamically favorable levels, drive mixed鈥憆efrigerant cycles or nitrogen Brayton cycles, and keep the refrigeration loop moving. Centrifugal machines are typically preferred here because they handle very high, steady flow rates efficiently, which aligns with LNG 鈥渕ega train鈥 throughputs described by LNG Industry and Severn Valve.
At LNG terminals, oil鈥慺ree reciprocating compressors handle boil鈥憃ff gas (BOG) generated when cryogenic LNG warms slightly in tanks, pipelines, and loading arms. Engineer News Network documents how Burckhardt鈥檚 oil鈥慺ree compressors manage BOG down at cryogenic inlet temperatures around minus 274掳F, compressing it for re鈥憀iquefaction or burning as fuel. Without this service, you would either vent or flare valuable gas and emissions would rise sharply.
On the regasification side, Emerson notes that BOG compressors, low鈥憄ressure send鈥憃ut boosters, and sometimes screw compressors are coordinated to match send鈥憃ut flow with grid nominations. Here, control quality directly affects the ability to operate close to storage, pipeline, and safety constraints without trips.
Several sources, including Detechtion and China Compressors, converge on three primary compressor types in LNG: reciprocating, centrifugal, and screw units. A fourth category, compander packages, integrates a compressor and turboexpander for compact small鈥憇cale liquefaction.
A concise view of their roles is useful when you start thinking about control strategy:
| Compressor type | Typical LNG role | Strengths | Limitations relevant to control |
|---|---|---|---|
| Reciprocating (piston) | BOG handling, fuel gas boosting, small鈥憇cale liquefaction stages | High pressure ratios, flexible turndown, precise capacity control, proven oil鈥慺ree designs | Many moving parts; pulsating flow; requires pulsation control and robust foundations |
| Centrifugal (dynamic) | Main refrigerant and feed gas compression in large trains; high鈥慶apacity BOG service | High flow, relatively low maintenance, smooth flow | Narrow stable range; strong surge behavior; requires fast, accurate anti鈥憇urge control |
| Screw (rotary) | Medium鈥憇cale distribution and regasification steps | Smooth flow, good for wet/dirty gas, relatively simple controls | Single鈥憇tage discharge pressure typically limited; efficiency sensitive to off鈥慸esign operation |
| Compander (integrated compressor鈥揺xpander) | Small鈥憇cale nitrogen鈥慶ycle liquefaction | Compact footprint, shared auxiliaries, lower leakage and CAPEX | Specialized equipment; control interaction between compressor and expander must be carefully engineered |
Atlas Copco鈥檚 work on compander technology in small鈥憇cale LNG plants shows how integrating a centrifugal compressor and turboexpander on a single gearbox and skid can shrink footprint, reduce piping and cabling, and cut capital cost. Because the compressor and expander share lube and seal systems and often share controls, you also reduce the number of interfaces that can fail. That compactness, however, raises the bar for the control system and its power supply, because any common鈥憁ode failure affects both cold generation and compression.
The control takeaway is that each compressor type comes with predictable dynamic behavior and mechanical limits. Reciprocating units demand careful valve condition monitoring and pulsation control. Centrifugals demand technically sophisticated surge protection. Screws and companders require attention to efficiency at part load. A robust compressor control strategy begins by honestly aligning these characteristics with your process objectives and your plant鈥檚 power system capabilities.

Severn Valve describes centrifugal compressor surge in LNG trains as a dynamic instability where flow falls below what is needed to overcome discharge pressure. Flow reverses, pressure and flow oscillate, and the surge cycle can repeat indefinitely without intervention. Surge and stall events occur extremely fast, on the order of 20 to 50 milliseconds.
Those time scales explain why simply relying on a DCS loop with a modestly tuned PID is not enough. Surge can damage seals, bearings, impellers, and shafts. Severn notes that seal damage alone can cost tens of thousands of dollars, and severe events can force an emergency trip of the entire liquefaction train, with production losses in the tens of millions of dollars.
Historically, many LNG plants protected themselves by operating compressors far from the surge line, leaving a wide safety margin. Severn reports that for large trains with anti鈥憇urge valves (ASVs) traveling more than 18 inches, conservative strategies were often the only way to cope with actuation limits. The price was reduced throughput and significantly lower energy efficiency.
Modern anti鈥憇urge valves and actuators change that tradeoff. Severn鈥檚 latest large鈥慴ore anti鈥憇urge valves, including a 30鈥慽nch bore valve with a 24鈥慽nch stroke, can move through full travel in less than two seconds while maintaining very fine positional control. Emerson鈥檚 guidance on high鈥慽ntegrity valve and actuator assemblies for BOG compressors echoes this: the valve, actuator, and digital controller must work as a tuned system to detect approaching surge and open fast enough to keep the compressor on the safe side of its map.
From a control perspective, good surge control is not just about speed. It is about accurate position sensing, repeatable stroking, correct valve sizing (often 1.8 to 2.2 times expected maximum surge flow as Severn describes), clean instrument power, and tested logic. If your control power is unstable, your positioner calibration is drifting, or your solenoid valves stick, your two鈥憇econd requirement may suddenly be four seconds right when you can least afford it.
Detechtion鈥檚 analysis across gas assets shows that compression can absorb up to roughly half of total energy use. LNG鈥憇pecific research on boil鈥憃ff gas modeling highlights that compressing gas requires about ten times as much energy as pumping an equivalent mass of liquid. Every percentage point of compressor efficiency you recover is therefore worth chasing, both in operating cost and in environmental footprint.
Consider a plant with a main refrigerant compressor driven by a 30,000鈥慼orsepower motor and BOG compressors totaling another 10,000 horsepower. If advanced control, better anti鈥憇urge tuning, and predictive maintenance reduce overall compressor power by just 3%, you save roughly 1,200 horsepower, or close to 900 kW of electrical demand. Over a year of high鈥憀oad operation, that is measured in millions of kilowatt鈥慼ours and a sizeable reduction in emissions.
On the power systems side, these loads drive transformer sizing, medium鈥憊oltage distribution, harmonic filtering, and backup generation where plants run islanded. Wunderlich鈥慚alec鈥檚 case study of an islanded LNG terminal illustrates how fragile such a system can be when the turbine鈥慻enerator controls and hydraulic actuators are unreliable. Spurious trips of the single generator caused repeated shutdowns and productivity loss. Upgrading to a modern digital turbine control system with redundant overspeed protection, high鈥憆eliability hydraulic actuators, and online鈥憈estable protection preserved power availability and made the entire terminal more resilient.
For compressor control, the lesson is twofold. First, good process control on compressors directly influences how much power you draw. Second, the power system and control power infrastructure must be designed so that compressors and their controls ride through transients without nuisance trips. That often means dedicated UPS support for critical controllers and positioners, well鈥慹ngineered grounding, and coordination between electrical protection settings and process control strategies.

At the lowest level, compressor trains rely on regulatory loops to hold pressures, flows, and temperatures. Discharge pressure controllers modulate recycle valves or guide vanes, suction controllers manage upstream valves, and temperature loops adjust refrigerant flows. These loops run in the DCS or a dedicated compressor control system.
Safety functions such as overspeed protection, high鈥慼igh temperature shutdowns, and emergency trips are typically implemented in separate protection systems. In LNG, integrated control and safety systems (ICSS) from vendors such as Honeywell and Yokogawa are now common, especially onshore. Opero Energy notes that ICSS platforms combine process control and safety instrumented functions on a unified architecture, which simplifies integration across compression, pipelines, tank farms, and regasification units.
Schneider Electric鈥檚 LNG project experience emphasizes that design tools, modular control buildings, and cloud鈥慴ased testing can de鈥憆isk ICSS deployment. Pre鈥慽nstalled and pre鈥憈ested control systems in prefabricated electrical buildings allow compressor controls, anti鈥憇urge logic, and electrical protection to be validated offsite before commissioning. For the power system specialist, that modularization is an opportunity to verify control power segregation, UPS autonomy, and fail鈥憇afe behavior under simulated loss鈥憃f鈥憄ower events.
Three Severn Valve technical pieces make a consistent argument: anti鈥憇urge valves should be specified and tested as complete engineered packages, not commodity control valves. In LNG trains, large valves with strokes of up to 24 inches must open very quickly and stop precisely to avoid both surge and unnecessary recycle.
To achieve that, Severn integrates bespoke valve trim for accurate pressure letdown with high鈥憄ower piston actuators, suitable boosters, and digital positioners. Each assembly is fully calibrated and verified with an independently calibrated test system that measures response against anti鈥憇urge specifications. The result is a valve that can complete a full stroke in under two seconds while still offering fine throttling around the operating point.
Emerson similarly recommends high鈥慽ntegrity anti鈥憇urge valve assemblies for BOG compressors, integrating valve, actuator, and diagnostics. When these assemblies are tied into advanced process control (APC) applications in the DCS, BOG compressors can run closer to constraints, with fewer trips and less flaring.
This is also where clean, reliable power matters. High鈥憄ower actuators and digital positioners draw impulsive currents and are sensitive to voltage dips. Feeding them from properly sized power circuits with adequate ride鈥憈hrough capability, combined with UPS鈥慴acked control power, is essential. The most sophisticated anti鈥憇urge algorithm is useless if a brief voltage sag leaves the actuator stranded mid鈥憇troke.
The Wunderlich鈥慚alec case study highlights an LNG terminal where a single turbine鈥慻enerator provided all site power, making the turbine control system a single point of failure. Problems with hydraulic actuator performance, limited diagnostics, and poor integration with the plant DCS led to frequent trips.
Upgrading to a modern digital control system (Woodward MicroNet Plus) with redundant overspeed detection (ProTech TPS), high鈥憆eliability hydraulic actuators, and a well鈥慽ntegrated HMI improved situational awareness and allowed online testing of protection functions. Importantly, the new control system provided clear trip reasons, which enabled maintenance teams to correct root causes rather than simply restarting the unit.
For LNG compressor trains, a similar philosophy applies. Speed control, generator load control, and steam or fuel gas pressure control all interact with compressor loading. Coordination between generator control, motor starting schemes, soft鈥憇tarters or VFDs, and compressor capacity control loops reduces electrical and mechanical stress. Protection systems must be coordinated so that electrical faults, mechanical faults, and process faults are distinguished and acted upon appropriately, rather than causing unnecessary plant鈥憌ide shutdowns.
LNG Industry鈥檚 examination of advanced control and optimization in LNG plants identifies three major challenges: rapidly changing inlet conditions, tight coupling between process units, and shifting equipment and ambient constraints. Basic control can keep compressors and associated towers stable, but it tends to be conservative, leaving substantial inefficiencies in energy use and capacity.
Advanced Process Control (APC), especially multivariable model predictive control (MPC), handles these interactions more intelligently. APC coordinates multiple setpoints and manipulated variables simultaneously, predicting process behavior and moving the plant towards an economic optimum rather than a fixed operating target.
Field experience reported in LNG Industry shows APC increasing LNG processing capacity by roughly 1 to 5 percent, optimizing NGL and LPG recovery, and cutting energy and refrigerant consumption by stabilizing key temperature profiles. Emerson鈥檚 work on regasification plants echoes this, showing that integrating APC for BOG compressors into the DCS allows operators to run closer to constraints, reduce compressor trips and flaring, and increase throughput.
Translated into a simple example, consider a 5鈥憁illion鈥憈on鈥憄er鈥憏ear liquefaction plant. A 2 percent capacity increase from APC and constraints management is equivalent to roughly 100,000 tons of additional LNG per year. At a modest netback, that figure easily dwarfs the cost of APC deployment and long鈥憈erm maintenance.
Advanced economic model predictive control (EMPC) can be powerful but also computationally expensive and model鈥慽ntensive. Research on self鈥憃ptimizing control for LNG liquefaction suggests an alternative: carefully choosing combinations of measurements that, when held at fixed setpoints with conventional feedback controllers, keep the plant near its economic optimum under varying conditions.
In that study, which extended earlier work to a cascaded LNG plant with multiple refrigerant cycles, the authors applied a systematic 鈥渆xact local method鈥 to select the best measurement combinations. They incorporated measured disturbances directly into the controlled variables and used a branch鈥慳nd鈥慴ound algorithm to trade off performance against control complexity. The resulting control structures exhibited lower steady鈥憇tate economic losses and better closed鈥憀oop performance compared with conventional temperature鈥慴ased strategies.
For plant teams, the key insight is that you do not always need a full EMPC layer to reap most of the economic benefit. By instrumenting the plant correctly, identifying robust controlled variables (for example, specific temperature differences across key heat exchangers or carefully chosen pressure ratios), and tuning the existing controllers around those variables, you can achieve near鈥憃ptimal operation while keeping the control architecture relatively simple and robust to hardware failures.
At LNG import terminals, advanced compressor control does not operate in isolation. Emerson highlights that terminal information management systems (TIMS) and high鈥慽ntegrity tank gauging are foundational. Inventory management platforms such as Rosemount TankMaster collect real鈥憈ime level, temperature, density, and pressure data from LNG tanks, then compute volume and mass for accurate custody transfer and tank usage optimization.
Emerson notes that ineffective inventory and supply chain management can reduce a terminal鈥檚 profitability by as much as 5 percent through poor cargo tracking and suboptimal jetty utilization. Accurate inventory and predictive scheduling, by contrast, allow operators to plan BOG handling and compressor operation more efficiently.
Modern tank gauging with non鈥慶ontact radar can measure levels in tanks over about 130 feet high, with measurement ranges around 180 feet. With no moving parts and mean time between failures measured in decades, these systems provide reliable data even when maintenance access is limited. APC and scheduling tools then use this high鈥慽ntegrity data to coordinate compressor setpoints, ship unloading, and send鈥憃ut rates.
From a power and reliability perspective, tank gauging, TIMS servers, and compressor controls are all critical loads that benefit from UPS support and redundant network paths. If your tank gauging goes blind during a power disturbance, you may be forced into conservative operation or even shutdowns until you can verify inventory, no matter how robust your compressor controls are.
Research on LNG terminal operation shows that LNG is stored at about minus 260掳F, with volume reduced to roughly one鈥憇ix鈥慼undredth of its gaseous state. Despite good insulation, heat ingress generates BOG and causes tank pressure to rise. Because compression of gas is about ten times more energy鈥慽ntensive than pumping the same mass of LNG, BOG handling strategy is one of the most important levers for terminal operating cost.
Detailed numerical simulations of large tanks demonstrate that the boil鈥憃ff rate (BOR) is very sensitive to fill level. At high fill levels around 80 percent, BOR may be near 0.012 weight percent per day, while at low fill levels around 10 percent, BOR can climb to roughly 0.12 weight percent per day, an order鈥憃f鈥憁agnitude increase. For a terminal discharging on the order of 80,000 cubic meters per day, about 2.8 million cubic feet per day, that difference translates into substantial additional gas that must be compressed or burned.
The same study shows that optimized delivery scheduling and send鈥憃ut control can reduce BOG generation by around 9 percent compared with conventional strategies, without major new hardware. That reduction directly cuts HP compressor run time and power consumption.
When BOG cannot be recondensed via cold LNG or dedicated heat exchangers, high鈥憄ressure compressors must handle it and send it to the send鈥憃ut pipeline. These HP compressors are costly to operate, especially at partial loads, and often become bottlenecks.
The numerical BOG model research proposes a send鈥憃ut control strategy that minimizes HP compressor operating cost. At high send鈥憃ut rates, it is economically favorable to reduce LNG recirculation and accept more BOG inflow, because the send鈥憃ut system can absorb the additional gas without overloading the HP compressors. At low send鈥憃ut rates, by contrast, increasing LNG recirculation and lowering BOG inflow can keep BOG within manageable limits, reducing the need to run HP compressors in inefficient regimes.
If your control system can accurately predict BOG generation based on tank levels, heat ingress, and operating conditions, you can schedule compressors and adjust send鈥憃ut targets to minimize the time HP compressors spend in expensive high鈥慼ead, low鈥慺low conditions. That is where they draw the most power and suffer the greatest mechanical stress.
Engineer News Network presents several case studies where targeted upgrades and condition monitoring delivered large reliability gains for BOG compressors. At one LNG terminal, perlite insulation debris caused abrasive wear and poor performance of rider rings, leading to frequent piston replacements and ring changes every roughly 8,000 operating hours. A tailored upgrade with an aluminum first鈥憇tage piston, dry鈥憆unning optimized rider rings, a coated piston rod, new cylinder liner, and improved sealing materials raised mean time between overhaul from about 8,000 hours to over 24,000 hours, with higher lifetimes on later stages.
In another case, a terminal was flaring gas for up to an hour at each compressor start due to frequent starts and slow gas cooling. Investigation found that the desuperheater was being bypassed during startup, underutilizing the first cooling step. Process changes, including revised startup sequences, running the compressor in bypass while using the desuperheater, and upgrading components such as packing and bearings, were projected to cut flaring鈥憆elated emissions by around 25 tons of CO鈧 equivalent per year.
Across these examples, API 670鈥慻uided monitoring with vibration, crank鈥慳ngle, and accelerometer sensors was crucial in detecting clearance issues, valve faults, and gas leaks. Using this data for structured programs such as Burckhardt鈥檚 BC ACTIVATE and long鈥憈erm service agreements allowed the operators to move from reactive maintenance to a more predictive, lifecycle鈥憃riented approach.
When you combine such mechanical and materials upgrades with smarter operating strategies and accurate BOG modeling, you reduce both energy consumption and unplanned downtime of HP compressors. From a power system perspective, fewer unplanned compressor starts and trips also means less stress on feeders, breakers, and UPS systems.
Detechtion reports that preventive and predictive maintenance programs can deliver roughly 10 to 20 percent reductions in compressor鈥憆elated energy costs by maintaining efficiency and reducing unplanned shutdowns. Emerson鈥檚 Plantweb digital ecosystem shows how this plays out in LNG terminals: intelligent field devices, advanced sensors, and analytics software aggregate equipment health data into user鈥慺riendly dashboards, feeding machine learning tools that detect abnormal behavior and predict future issues.
For compressors, this means continuous monitoring of vibration, temperatures, bearing condition, lubrication quality, and thermal performance of associated heat exchangers. Emerson notes that 24/7 monitoring of assets such as heat exchangers can detect fouling early, allowing planned cleaning that improves energy efficiency, unit utilization, and throughput while avoiding emergency shutdowns.
FS鈥慐lliott鈥檚 PAP Plus compressor line illustrates how compressor OEMs are embedding digitalization. Their Regulus control system not only provides advanced flow and pressure control but also includes an Energy Advisor module that analyzes real鈥憈ime data to recommend energy鈥憇aving settings. A predictive maintenance module monitors wear indicators and thermal performance to issue early service notifications. Web鈥慴ased remote monitoring ties these elements into plant鈥憌ide digital initiatives.
For a power system and reliability team, the connection is straightforward. Every avoided compressor trip reduces the chance of large reactive power swings, motor restarts, and cascading protection operations. Instrumenting compressors and their power feeds, and then using that data proactively, turns a large, spiky electrical load into a more predictable and manageable one.
Schneider Electric鈥檚 LNG automation work emphasizes that digitization, modularization, and simplification are the three themes that reduce risk from design through operation. Integrated digital engineering tools replace siloed design, enabling collaborative modeling of compressors, power systems, and controls. Cloud鈥慴ased engineering and testing can replicate entire automation systems so that control logic for compressors, anti鈥憇urge valves, and power distribution can be developed and tested remotely.
Opero Energy notes that major vendors now routinely deploy ICSS platforms that integrate process and safety functions for LNG plants. In many cases, compressor controls, electrical protection, and fire and gas systems are all accessible through a central control room, with data from sensors, gas monitors, and closed鈥慶ircuit television systems feeding into the same operator interfaces.
For owners and EPCs, this means compressor control system specifications should be written with lifecycle support and digital integration in mind. Questions worth asking early include whether compressor controls and motor protection will be integrated into the ICSS, how compressor trips will be logged and diagnosed, how cyber鈥憇ecurity will be handled for remote monitoring, and how control power for critical components will be backed up and segregated to avoid common鈥憁ode failures.
Wunderlich鈥慚alec鈥檚 rotating machinery controls upgrade at an islanded LNG import/export terminal provides a concrete illustration of an integrated approach. The facility relied on a single turbine鈥慻enerator for all power. The original OEM turbine controls suffered from unreliable hydraulic actuators, poor diagnostics, and lack of integration with the DCS, leading to monthly unplanned trips.
The upgrade introduced a modern digital control system with primary and expansion I/O racks, high鈥憄ressure hydraulic actuators with redundant servos and feedback, and a separate overspeed protection system. Operator interfaces were improved with a modern HMI and Modbus TCP integration to the DCS. Extensive factory testing using a hardware鈥慴ased turbine simulator and turnkey hydraulic and mechanical installation ensured the system worked as intended.
While the case focuses on the power train, the same philosophy applies to LNG compressor control upgrades. Integrate new control logic with plant DCS and ICSS. Use simulation and factory testing to validate anti鈥憇urge behavior and trip logic. Upgrade actuators, positioners, and feedback elements, then power them from robust, UPS鈥慴acked supplies. Finally, ensure that operators and maintenance staff understand trip causes and can interpret diagnostic data rather than treating every shutdown as a mystery.

When you look across these studies and case examples, several practical themes emerge for specifying compressor controls in LNG facilities, especially if you are responsible for both process performance and power system reliability.
First, align compressor type and control strategy with the specific duty. Reciprocating BOG compressors benefit from oil鈥慺ree designs, robust valve monitoring, and condition鈥慴ased materials upgrades to extend overhaul intervals, as demonstrated in Burckhardt鈥檚 case studies. Main liquefaction compressors, typically centrifugal, demand highly engineered anti鈥憇urge valves, modern MPC鈥慴ased control of recycle and guide vanes, and careful coordination with electrical starting and protection systems.
Second, explicitly integrate energy efficiency into your control objectives. Compression is a dominant share of your electrical load. Evidence from LNG Industry and Detechtion suggests that 1 to 5 percent capacity improvements and 10 to 20 percent energy savings are realistic with well鈥慽mplemented APC and predictive maintenance. On a large train with tens of megawatts of compressor load, even the lower end of those ranges can justify investment in advanced controls and high鈥慽ntegrity instrumentation.
Third, treat anti鈥憇urge and HP BOG compression as high鈥慶onsequence services and design their controls and power supplies accordingly. Specify valves and actuators as complete, tested packages with documented stroke times and positional accuracy. Feed critical controllers and positioners from reliable, monitored UPS systems with sufficient ride鈥憈hrough for realistic disturbance scenarios. Test surge logic using dynamic simulation of compressor maps and process upsets before going live.
Fourth, use digital tools and models to manage BOG and HP compressor operation holistically. Numerical BOG models and TIMS platforms make it practical to schedule ships, manage tank fill levels, and adjust send鈥憃ut rates in ways that reduce BOR and HP compressor run time by meaningful percentages. Emerson鈥檚 and the numerical model鈥檚 findings show that better scheduling alone can cut BOG and associated compressor operation by close to 10 percent in some terminals.
Finally, think in terms of lifecycle partnerships rather than one鈥憃ff projects. Programs like Burckhardt鈥檚 BC ACTIVATE and long鈥憈erm service agreements with compressor, valve, and control OEMs provide structured paths for continuous improvement. When combined with asset performance software and remote monitoring, they give you an ongoing stream of data and expertise to refine control strategies, component selections, and maintenance schedules as your plant ages and operating conditions evolve.

Evidence from LNG Industry and Emerson indicates that both large and mid鈥憇cale plants benefit from advanced control. In large trains, a 1 to 5 percent capacity increase translates into very large absolute LNG volumes and revenue. In smaller plants, compander technology and efficient BOG management can significantly lower operating costs and improve competitiveness in tight markets. Because compressor power is such a large part of the energy bill in any LNG facility, even modest efficiency gains from better control and scheduling are worthwhile.
Compressors are among the largest continuous electrical loads in LNG plants. Poor surge control, frequent trips, or inefficient part鈥憀oad operation lead not only to energy waste but also to voltage dips, thermal stress on transformers and switchgear, and potential instability in islanded systems. Case studies such as the islanded LNG terminal upgraded by Wunderlich鈥慚alec show that improving turbine鈥慻enerator and compressor controls together yields better availability and more stable power. Well鈥慸esigned UPS systems for control power and careful coordination of electrical protection with process trips are key elements of that integration.
LNG Industry鈥檚 field experience and Emerson鈥檚 regasification work suggest that APC and model鈥慴ased compressor coordination can deliver roughly 1 to 5 percent increases in LNG capacity, reductions in BOG compressor trips, and measurable decreases in flaring and fuel use. Detechtion鈥檚 broader gas compressor analytics show 10 to 20 percent reductions in compressor鈥憆elated energy costs in some programs that combine operating optimization and predictive maintenance. The exact benefit for your facility will depend on current performance and constraints, but these ranges provide a credible expectation for well鈥慹xecuted projects.
For LNG facilities, compressor controls sit at the intersection of thermodynamics, rotating machinery, and power system reliability. When they are engineered, powered, and maintained as critical infrastructure, they unlock higher throughput, lower energy use, and fewer unplanned outages. When they are treated as an afterthought, they quietly cap capacity and erode margins.
From a power system specialist and reliability perspective, the most effective path forward is to view compressor controls, surge protection, BOG management, and control power as a single integrated design problem. Plants that make that integration a priority are the ones that will keep their trains, terminals, and balance sheets running smoothly in the years ahead.

| Source / Publisher | Relevance to compressor control in LNG |
|---|---|
| Detechtion | Natural gas compressor types, energy share, optimization, and maintenance practices |
| Schneider Electric | LNG automation project risks, integrated automation and electrification, digital engineering |
| Opero Energy | Automation roles and ICSS in LNG plants |
| China Compressors | LNG compressor types, selection criteria, and efficiency considerations |
| Emerson | Advanced automation for LNG regasification, TIMS, tank gauging, APC for BOG compressors, predictive maintenance |
| LNG Industry | Advanced process control and optimization impacts on LNG plant performance |
| Atlas Copco Gas and Process | Compander technology for small鈥憇cale LNG, efficiency and CAPEX reduction |
| Engineer News Network | BOG compressor roles, case studies on upgrades, API 670 monitoring, lifecycle programs |
| FS鈥慐lliott | Centrifugal compressor design and digital control (Regulus) for LNG environments |
| Severn Valve | Anti鈥憇urge valve design, surge control challenges, and LNG compressor protection |
| Wunderlich鈥慚alec | Rotating machinery control system upgrade at an LNG import/export terminal |
| ScienceDirect studies on LNG | BOG modeling and operational strategies, self鈥憃ptimizing control, SMR process efficiency and exergy analysis |