GE Sensing Aurora H2O Technical Manual

Aurora TDLAS analyzers for Hydrogen Recycle Applications
Technical White Paper
Topics:
Introduction ...................................................................................................................................................... 2
Online Moisture Measurement for Catalytic Reformer Units ..................................................................2
Aurora TDLAS platform ................................................................................................................................... 3
Aurora H2O Performance in H2 Recycle Process Stream .......................................................................... 4
References ......................................................................................................................................................... 8
Aurora TDLAS analyzers for Hydrogen Recycle Applications
1. Introduction
The objective of the petroleum rening process is to convert crude oil into useful and protable end products such as gasoline, jet fuel, diesel oil, liqueed petroleum gas and fuel oils. Hydrogen is widely used in these downstream rening processes for the following reasons:
• increase the eciency or throughput of the chemical reaction,
• optimize the yield of the desired end product,
• improve quality of end product,
• remove undesired contaminants in fuels, such as sulfur, and
• maximize catalyst life
Clean fuels regulations are being implemented in many parts of the world including Europe and the USA, and are going to become stricter as time progresses. Major oil renery upgrades are necessary in order to meet these specications, and one of the consequences is that hydrogen demand will increase dramatically. Various sub-processes used in rening include hydro-treating, hydrocracking, catalytic reforming, isomerization, alkylation and several others. These sub-processes vary depending on the input feed stock and the desired modication to that feed stock. Process objectives include conversion of petroleum renery naphthas distilled from crude oil (typically having low octane ratings) into high-octane liquid reformates, sulfur removal, and producing specic end products, such as diesel oil.
It is estimated that the total hydrogen consumption in oil reneries is 12.4 BCF/day or approximately 100-200 SCF/bbl of oil processed. Hydrogen consumption is growing at 5–10% CAGR driven by low sulfur in diesel fuel requirements, increasing use of low quality heavy crude oil, which requires more hydrogen to rene, and increased global oil consumption driven by emerging markets such as China and India. Therefore, management of hydrogen and its associated cost is critical to the protability of reneries [1].
The moisture content in H2 recycle processes can vary from the sub-part per million by volume (PPMv) level to higher concentration of ~20 – 30 PPMv. For example, in isomerization, the moisture content must be tightly controlled to less than 1 PPMv to prevent poisoning of the Pt/metal oxide catalysts due to hydrogen removal, consequently reducing catalyst lifetime and driving up costs. For catalytic reforming of crude oil, moisture is a necessary component of the reaction chemistry and must be maintained at the 15–20 PPMv level [2].
2. Online Moisture Measurement for Catalytic Reformer Units
The eciency of producing desired chemical reactions, and therefore, output yield of the required petroleum products is adversely aected if moisture content in the recycle gas is not maintained in the optimum range 20 to 30 PPMv. Hydrocarbon crackers incur signicant cost from inaccurate and slow responding online moisture sensors. Current technology utilized to monitor moisture levels in hydrogen recycle gas mixtures includes Quartz crystal microbalance (QCM) analyzers and Aluminum Oxide based probes. These methods have several drawbacks that can delay the moisture measurement, resulting in process excursions and o-specication product. QCM technology requires the sensor to be continually compared with a reference “zero” gas, which results in a non-continuous measurement. The self-verication requires the ability to generate a known moisture content using a desiccant, permeation tube and precise gas ow rates. As such, a QCM analyzer has a fairly complex internal sample handling system increasing the CAPEX and requiring signicant maintenance, which increases OPEX as well. Aluminum oxide sensors are generally slower responding to very dry gas and can drift over time [3].
While Tunable Diode Laser Absorption Spectroscopy (TDLAS) provides fast and accurate analyzers with a higher initial cost compared to other technologies, the return on investment is achieved by speed of response, reliability, repeatability, and negligible maintenance requirements (i.e., recalibration and replacement of moisture probes). Maintenance requirements include cost of
Aurora TDLAS analyzers for Hydrogen Recycle Applications
uninstalling, replacing the probe, shipment to a service center, calibration fees, return shipment to the site and reinstallation. QCM analyzers require replacement of the desiccant and maintenance to the internal sample system periodically. The recommended cycle for recalibrating Aluminum Oxide sensors is 6 – 12 months, while TDLAS has no required factory service.
During “turnarounds” or process upsets, TDLAS technology has been proven to provide the fastest response and recovery once the process upset is corrected or dissipates, and to run for years without the need of any major maintenance or recalibration [4]. Key advantages of TDLAS include:
• Fast real-time measurement with no wet up or dry-down delays – responds to changes in H2O concentration in the process gas in seconds
• Virtually maintenance free with no routine eld calibration and/or expensive consumable requirements
• Non-contact continuous moisture measurement with no damage to critical sensor components (tunable diode laser and detection optics) from HCl and other contaminants in the process by sample conditioning to isolate them from the process gas
• Sample conditioning and reduced pressure high-resolution spectroscopy (Aurora Trace) can minimize interference to moisture measurement from other compounds in the process gas
3. Aurora TDLAS platform
GE’s Aurora analyzer employs TDLAS to rapidly and accurately measure moisture content in a variety of background gases including N2, H2, CO2, and hydrocarbons. This analyzer is suitable for installation in hazardous areas and operates over a wide range of environmental conditions. We present below key performance attributes of the Aurora moisture analyzer for use in online measurement of the H2 recycle stream in various types of downstream rening processes.
The Aurora H2O is the base model wherein a single-pass absorption cell operates at atmospheric pressure to provide a lower detection limit of 5 PPMv. It uses a near-infrared diode laser rapidly tuned over a narrow band of optical frequencies that includes the molecular absorption peak of H2O to directly measure the partial pressure of water vapor in the background gas [5]. With the simultaneous measurement of sample pressure and temperature, the Aurora generates the following moisture content readings simultaneously at a rate of ~5 per second:
• Molar volume ratio in parts per million by volume (PPMv)
• Absolute humidity in pounds per million standard cubic feet (lbs/mmscf) or milligrams per cubic meter (mg/m3)
• Saturation temperature of Dew point/Frost point in °C or °F
• Equivalent dew point at line pressure in °C or °F
Table 1: Detailed performance specications for Aurora TDLAS high-precision moisture analyzers
as relevant to the H2 recycle downstream applications.
PARAMETER AURORA H2O SPECIFICATION
RANGE Calibrated range 0 to 5000 PPMv
Lower Detection Level 5 PPMv Dew/Frost Point -85.9° to 27.3°F (-65.5° to –2.6°C) frost point @ STP of 25°C, 14.696
psia
ACCURACY Parts Per Million by Volume ±2% of reading or 4 PPMv at nominal gas composition with up
to 5% variation in H2 and 1% variation in C2H6 from nominal gas
composition
Aurora TDLAS analyzers for Hydrogen Recycle Applications
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