A random number is a number chosen from a pool of limited or unlimited numbers that has no discernible pattern for prediction. The pool of numbers is almost always independent from each other. However, the pool of numbers may follow a specific distribution. For example, the height of the students in a school tends to follow a normal distribution around the median height. If the height of a student is picked at random, the picked number has a higher chance to be closer to the median height than being classified as very tall or very short. The random number generators above assume that the numbers generated are independent of each other, and will be evenly spread across the whole range of possible values.
A random number generator, like the ones above, is a device that can generate one or many random numbers within a defined scope. Random number generators can be hardware based or pseudo-random number generators. Hardware based random-number generators can involve the use of a dice, a coin for flipping, or many other devices.
A pseudo-random number generator is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers. Computer based random number generators are almost always pseudo-random number generators. Yet, the numbers generated by pseudo-random number generators are not truly random. Likewise, our generators above are also pseudo-random number generators. The random numbers generated are sufficient for most applications yet they should not be used for cryptographic purposes. True random numbers are based on physical phenomena such as atmospheric noise, thermal noise, and other quantum phenomena. Methods that generate true random numbers also involve compensating for potential biases caused by the measurement process.
Most amine regenerators have 20-22 trays. I design it by modeling the column in ProMax and making sure I have an appropriate temperature profile, as well as CO2 stripping in the column, not the reboiler.
All simulated CO2 removal systems I've seen have been totally WRONG in predicting excessive number of trays required to regenerate amine solutions - especially MEA solutions. I know this to be factually true because I've had the advantage of designing, building, installing, and operating these units out in the field. I have reported these factual, field experiences many times in many prior threads on the same subject here in our Forums in the past and these can be found in our SEARCH engine.
I normally have used 10 to 15 theoretical separation stages for an MEA stripper working with 12-15% MEA and a rich MEA loading of approximately 0.3 mol CO2/mol MEA. In fact, I have used as little as six actual trays - without any bubble caps, sieve openings, valves, or anything else and successfully run these units for years producing 0.1mol loadings in the lean solution. I have proven - in the field, with actual operating units - that you don't need any more than this to effectively regenerate amine solutions. I can assure you that designers and fabricators of amine units in the 1950's and '60's knew this and used it in their design.
The last article I read on this (I can't remember when) came up with a theoretical tray requirement of 2-3 stages for an amine stripper. I firmly believe that is true from a theoretical view because my field experience shows this. Another issue I have with some designs of amine strippers is the use of so-called "reflux". There is no such thing in a stripper design that releases a non-condensable gas. NO REFLUX IS REQUIRED, AS SUCH, IN AN MEA STRIPPER. I also have proven this in the field with units that have produced for years - longer than most of the operators that ran them. To put condensate back into the top of an MEA stripper is to increase the amount of reboiler duty and that, in my opinion, is nothing short of being stupid if it isn't required for proper stripping action - which it isn't. Yet, simulation programs insist on using the so-called "reflux". And they do this without any mathematical or process calculation method. What they are doing is nothing more than "scrubbing" the exit sour gas and this is not needed in a properly designed stripper tower.
What Rockdock reports is also true. Fluor, Bechtel, and almost all the big world-wide processors have always insisted on using 20-25 trays in absorbers and an equal amount in strippers. The reason(s) I found out in the field for their exaggerated size of towers (by taking their field engineers out and buying them a couple of drinks) is because of license requirements that insist on conservative design in order to ensure that no negative results will occur in the field. In other words, they are protecting their warranty on operational results and playing it safe. Also, a lot of these projects were cost-plus contracts with process guarantees. The corporation that invented and patented the amine system - the Girdler Corporation - built a lot of these units, especially during World War II when they were needed as skid-mounted units in large air craft carriers in order to have a continuous supply of CO2 available for fire fighting. Girdler never used more than 12 to 14 trays in an MEA stripper to my knowledge - and they should have known, since they invented the process.
My advice to you is to follow Zauberberg's experienced recommendations. He is guiding you to the best compiled information on amine unit design that is currently available. Even Kohl & Neilsen admit to the facts that I have stated - although they don't have the field and hands-on experience that I accumulated. Read the book carefully and you will find that it admits to the difficulty in simulating and predicting the correct, accurate design of an amine unit. See the attached condensed material from their book.
Engineering is not all about just relying on a given math equation or a computer simulation program to give you the correct answer. Thank God for that! Otherwise there would be no need for any university training or preparation. The vast amount of professional engineering is about using practical, experienced knowledge based on common sense and past results. That's why the experienced engineers found in our Forums are so valuable and useful for learning and self improvement. In my younger years we had engineering mentors that guided us through the learning process. Today, these are no longer available to you and that is why our Forums exist as one way to obtain the necessary help and counsel.
I could add that, in my knowledge of the amine systems, sieve trays are better than valve trays because of the absence of moving and little parts, more subject to troubles originated by fouling and corrosion.... a little point :-)
The regenerator is considered hung when:
1. It reports that it is executing sql for a PDT build/ trigger check and that sql is not executing on the database.
2. The regenerator process has not begun since the previous regenerator process has completed within the timeframe dictated by the "PDT And Datagroup Maintenance Schedule".
The source of a hung regenerator is usually difficult to track down, as it typically involves something on the network or database side interrupting the regeneration process. We have seen a number of reports of hung regenerators coinciding with Redshift database maintenance, including a mass maintenance Redshift performed that caused a critical because of the large number of customers whose regenerators were hung.
We propose a novel Mach-Zehnder interferometer (MZI) regenerator structure based on cross-phase modulation (XPM) effect between orthogonally polarized light. By adjusting the optical phase shifter on one arm of the MZI, the alignment of the optimal working points of the optical regenerator with the respective level powers of the degraded optical pulse-amplitude-modulated (PAM) signal can be achieved. The input-to-output power transfer function (PTF) capable of the regenerative Fourier transform, along with the optimal working points, is derived through theoretical analysis and the simulated PTFs are consistent with the theoretical results. Our research shows that the regenerative ability (RA) of the PAM regenerator increases with the input optical signal-to-noise ratio (OSNR), and the signal gain is inversely proportional to the level interval power of the input signal. The regeneration scheme proposed in the paper can theoretically be applied to the reshaping of an infinite number of regenerative levels, with a good consistency in the regeneration performance for each level. The phase preserving and bit-error rate (BER) properties of the regenerator are taken into account as well.
A number of regenerative medicine start-ups and established companies already operate within the Regenerative Medicine Hub (RegenMed Hub) and the region, offering expansive resources for entrepreneurs and life science professionals. Learn more about the RegenMed Hub, an ecosystem that brings together and draws upon the resources and talent available through the Innovation Quarter, and includes regenerative medicine focused entities dedicated to advancing the field nationwide.
Disclaimer: All research and clinical material published by Wake Forest University School of Medicine on its site is for informational purposes only and SHOULD NOT be relied upon as a substitute for sound professional medical advice, evaluation or care from your physician or other qualified health care provider.Wake Forest University School of Medicine will not be liable for any direct, indirect, consequential, special, exemplary, or other damages arising therefrom.
Amine systems can be tough to calculate. However, there are a few things that you can do to help out. In this post we're going to discuss a few options on the convergence tab, especially the Enthalpy Model and the Inner Loop Model.
The amine regenerator can, at times, be especially challenging. Sometimes the column will refuse to converge or will converge quite slowly. A few select components with non-ideal volatilities such as ammonia can make things especially tough. Below is some general information about the various options and some best practices to use while working with your model. These parameters can be found on the "Column Convergence" Tab in ProMax.
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