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Process Raman Analyzers for Jet Fuel and Kerosene Monitoring
Jet-A blending is not a fixed recipe. Crude slate variations, changes in hydrotreater severity, and tank movements can all shift freeze point, flash point, and aromatics content mid-blend. When quality feedback depends on grab samples and lab turnaround cycles, operators are always working from delayed information. Without continuous visibility into blend composition, operators often err on the side of caution, which can produce more quality giveaway than the specifications actually require.
HORIBA Process Instruments' Process Raman analyzers deliver continuous, real-time property predictions directly from the process stream. With measurement cycles as short as 30 seconds, refineries gain the visibility to act on quality changes while the blend is still in progress, not after the fact.
Table of Contents:
- Why Jet Fuel Blending Is Difficult to Control in Real Time with Traditional Methods
- How Process Raman Analyzers Address the Feedback Gap
- Process Raman vs. Alternative Analysis Methods
- On-Line Performance Data and ASTM Method Alignment
- Integration with DCS and Advanced Process Control Systems
- PI-200 Series Analyzer Configurations for Jet Fuel and Kerosene Monitoring
Your Simple, Cost-efficient Turnkey Solution
At HORIBA Process Instruments, we understand the unique demands of your industry. Our cutting-edge process Raman analyzers for kerosene and jet fuel monitoring are designed to deliver accurate, real-time insights for process optimization, safety, and compliance. From oil and gas to pharmaceuticals and beyond, we provide reliable tools that empower you to monitor critical parameters, reduce operational costs, and improve product quality.
Why Jet Fuel Blending Is Difficult to Control in Real Time with Traditional Methods
Several of the most critical Jet-A quality properties are interrelated. A change that improves one parameter can adversely affect another, which makes conservative blending the default when real-time visibility is limited.
Freeze Point
Freeze point depends on paraffin and isoparaffin ratios, along with the contribution of heavier hydrocarbon components. Adding a heavier kerosene stream may be economically attractive, but over-incorporation can quickly erode freeze point headroom. For commercial and military aviation, freeze point is a safety-critical specification with no margin for error at altitude.
Flash Point
Flash point is the temperature at which fuel vapor becomes ignitable, and for jet fuel it is a non-negotiable safety specification. It is also one of the more volatile parameters to control, because even a modest amount of lighter hydrocarbons carrying over from earlier in the refining process can pull flash point down faster than the blend rate would suggest. The risk is not just that it moves; it is that by the time a lab result confirms it has moved, the blend has continued progressing in the same direction.
Aromatics, Smoke Point, and JFTOT
Hydrotreater severity directly influences aromatic content, which in turn affects smoke point and Thermal Oxidative Stability (JFTOT). A unit running at reduced severity, whether due to catalyst aging, hydrogen availability, or unit constraints, will shift aromatic levels in ways that appear as smoke point pressure downstream.
When lab results arrive after the blend has already progressed, operators face two options: correct after the fact, which means reblending, added cost, and delayed tank release, or build in more quality cushion than the specifications require, which means leaving margin on the table. Most refineries end up doing both at different points in the blending cycle.
How Process Raman Analyzers Address the Feedback Gap
A Raman spectrum captures molecular fingerprint information about a sample. Each peak in the spectrum corresponds to specific chemical bonds and molecular structures within the fuel, including paraffins, isoparaffins, cycloparaffins, and aromatics. Validated chemometric models translate that spectrum into property predictions within seconds of measurement.
The practical result is that a single Process Raman analyzer provides simultaneous, continuous predictions for multiple quality parameters, including freeze point, flash point, distillation points, API gravity, smoke point, naphthalene content, and JFTOT-related properties.
Rather than a feedback cycle of blend, sample, wait, and respond, operators can see quality direction while the blend is in progress. If freeze point is trending toward a limit because a heavier stream is being incorporated, the change is visible while there is still time to adjust. If flash point begins drifting due to light end contamination, operators can see that trend developing in real time rather than discovering it only when a delayed lab result arrives.
This is the distinction between reactive and proactive process control. Traditional monitoring tells you what happened. Real-time Raman monitoring with HORIBA shows you what is happening.
Process Raman vs. Alternative Analysis Methods
For refineries evaluating online analyzer options, process Raman offers distinct advantages in jet fuel and kerosene applications.
Versus Near-Infrared (NIR) Spectroscopy
Aromatics produce significantly stronger spectral responses with Raman than with NIR. In jet fuel applications, this makes process Raman more effective for modeling smoke point and JFTOT-related properties, which are driven by aromatic content and distribution. NIR's weaker response to aromatics is a documented limitation in complex hydrocarbon streams where these parameters are critical.
Versus Gas Chromatography (GC)
GC provides detailed compositional data but requires more complex sampling systems and longer analysis cycles. Process Raman delivers updated predictions in approximately 30 seconds with no moving parts in the analyzer itself, removing sampling system complexity and ongoing maintenance requirements.
Versus Lab-Based Grab Sampling
Lab-based ASTM methods remain the standard for certification and compliance. However, for real-time process control, the typical 1-to-2-hour turnaround on grab samples creates a feedback gap during which blend conditions may shift beyond where conservative adjustments can recover margin. Process Raman closes that gap without replacing the lab function.
On-Line Performance Data and ASTM Method Alignment
HORIBA Process Raman analyzers for jet fuel monitoring are validated against ASTM reference methods. The table below summarizes model performance data for a representative on-line jet fuel stream.
On-Line Jet Fuel Stream Model Summary
|
PARAMETER |
RANGE |
R2 |
SEP (Separated Error of Prediction) |
SAMPLES |
ASTM Method |
|
Freeze Point (°F) |
-75.7 to -46.8 |
0.94 |
1.47 |
297 |
D5972 |
|
IBP (°F) |
331.8 to 380.8 |
0.92 |
3.35 |
144 |
D86 |
|
5% Recovery (°F) |
350.1 to 397.3 |
0.97 |
1.95 |
144 |
D86 |
|
10% Recovery (°F) |
354.6 to- 401.5 |
0.98 |
1.57 |
144 |
D86 |
|
20% Recovery (°F) |
363.6 to 410.0 |
0.99 |
1.03 |
144 |
D86 |
|
30% Recovery (°F) |
369.4 to 417.2 |
0.99 |
1.16 |
145 |
D86 |
|
40% Recovery (°F) |
376.0 to 424.2 |
0.99 |
0.93 |
145 |
D86 |
|
50% Recovery (°F) |
383.7 to 432.2 |
0.99 |
0.94 |
145 |
D86 |
|
60% Recovery (°F) |
392.2 to 441.8 |
0.99 |
1.10 |
145 |
D86 |
|
70% Recovery (°F) |
403.8 to 453.8 |
0.98 |
1.47 |
145 |
D86 |
|
80% Recovery (°F) |
428.2 to 468.0 |
0.98 |
1.48 |
140 |
D86 |
|
90% Recovery (°F) |
448.3 to 492.2 |
0.97 |
1.92 |
140 |
D86 |
|
95% Recovery (°F) |
462.5 to 511.4 |
0.91 |
3.33 |
140 |
D86 |
|
EP (°F) |
480.7 to 522.3 |
0.94 |
2.42 |
140 |
D86 |
|
Flash Point (°F) |
119 to 154 |
0.82 |
3.4 |
147 |
D7094 |
|
API Gravity |
41.3 to 44.5 |
0.99 |
0.055 |
143 |
D4052 |
Integration with DCS and Advanced Process Control Systems
Measurement outputs from HORIBA Process Raman analyzers can be transmitted to a Distributed Control System (DCS) or Advanced Process Control (APC) platform via MODBUS, OPC, or 4-20 mA analog outputs. Raman predictions connect directly into existing plant control infrastructure, allowing blend ratios and stream additions to be adjusted in response to real-time quality data rather than lagged lab results.
Fiber optic cables can run up to 350 meters between the Raman probe and the analyzer, allowing the analyzer to be positioned in a safe, controlled environment while sampling occurs at the process measurement point. This eliminates the need for sample conditioning systems for all applications, reducing installation complexity and maintenance burden.
PI-200 Series Analyzer Configurations for Jet Fuel and Kerosene Monitoring
HORIBA Process Instruments offers three configurations of the PI-200 Series Process Raman Analyzer to accommodate different monitoring requirements and process scales.
PI-200-SP: Single-Channel Process Raman Analyzer
- Monitors a single sampling point, such as a blend header or individual feed stream
- Expandable to 8 channels via optional fiber multiplexer
- Scalable entry point for refineries adding online Raman analysis
PI-200-DP: Dual-Channel Process Raman Analyzer
- Monitors two distinct sampling points from one analyzer
- Ideal for simultaneous monitoring of a feed stream and blend header, or hydrotreater inlet and outlet
- Reduces hardware requirements without sacrificing measurement coverage
PI-200-I: Multichannel Process Raman Analyzer
- Monitors up to 17 sampling points from a single analyzer via integrated fiber multiplexer
- Designed for refineries monitoring multiple jet fuel or kerosene streams simultaneously
- Reduces equipment footprint and cost per measurement point across the full blending system
All three configurations use HORIBA’s PROspect software for data acquisition and chemometric model management, and are validated against the same ASTM reference methods.
Watch Our Jet Fuel Process Control Webinar
For a deeper technical walkthrough of how Process Raman applies to Jet-A blending, including blending economics, property interaction, and real-world deployment scenarios, watch the recorded webinar from HORIBA Process Instruments.
Request a Quote for Jet Fuel Raman Monitoring
Contact HORIBA Process Instruments to discuss your jet fuel or kerosene monitoring application and determine which PI-200 Series configuration fits your process requirements.
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