Acrylic Acid Production:
Separation and Purification


Stephany Lin
Kimberly Manney
David Smith
Abebi Stafford



Table of Contents


I. Abstract
II. Introduction
III. Special Considerations
IV. Base Case
V. Modeling Technique
VI. Optimized Case
      A. The Solvent
      B. Number of Trays and the Reflux Ratio
      C. Refrigerated Water vs. Cooling Water
      D. Optimized PFD
VII. Economic Analysis
VIII. Conclusion
IX. References



I. Abstract

This paper focuses on the optimization of the separation section of an acrylic acid plant. A base case design was provided, upon which changes were to be made so as to minimize cost and maximize profit. Columns were optimized using distillation heuristics, and in general, this resulted in fewer trays and lower reflux ratios than the base case design. Using fewer trays decreased the size of the columns, resulting in lower capital cost. Lowering the reflux ratios resulted in lower heat duties in the reboilers and condensers. This led to smaller heat exchangers, which again resulted in a lower capital cost, and led to smaller cooling water and steam flowrates, which decreased the utilities costs. However, the most significant cost from the base case arises from the use of refrigerated water as the coolant in the solvent recovery tower. The optimized design successfully replaced this refrigerated water with cooling water by changing the solvent used in the liquid-liquid extraction. All changes were carefully documented and confirmed to assure the validity of the optimized design. The changes made to the base case resulted in 48% savings in capital cost and 70% savings in utilities costs. These savings together yielded a 33% increase in net present value of the plant after 20 years.



II. Introduction

The objective of this project is to optimize the separations section of an acrylic acid plant that will produce glacial acrylic acid, which is at 99.9% purity. Because acetic acid, a by-product, is also a marketable commodity, purification of acetic acid to 95% purity is also desirable. Acrylic acid is produced via the catalytic partial oxidation of propylene. The desired products must be separated from the rest of the reactor product stream. This stream consists of acrylic acid, acetic acid, water, unreacted propylene, oxygen, nitrogen, and carbon dioxide. Our goal is to produce 50,000 metric tons per year of 99.9% acrylic acid utilizing 8000 operating hours a year. The one month of shut-down time is most likely for catalyst regeneration and equipment maintenance.



III. Special Considerations

When working with acrylic acid, special considerations must be taken into account. For example, stainless steal must be used in the units that handle acrylic acid so that they can withstand the highly corrosive nature of acrylic acid. Also, because of its high reactivity, steps must be taken to avoid polymerization and dimerization of acrylic acid. At high concentrations, acrylic acid will dimerize at 90 ° C. Since acrylic acid and acetic acid have normal boiling points of 141.8 ° C and 117 ° C, respectively, distillations for this separation process must take place under vacuum. Acrylic acid also has a tendency to polymerize; therefore, polymerization inhibitors, such as hydroquinone, must be injected throughout the system. The presence of this inhibitor in this system is understood but was not included in the model used for this project.



IV. Base Case

The separation portion of the design suggested by Turton involves a system of six separation towers: one quench tower, one absorption tower, one liquid-liquid extractor, and three distillation columns. As discussed above, a significant portion of the separation process takes place at low pressure (under high vacuum) to allow relatively low temperature separation.

The feed to the separation section is the product stream from the reactor. This stream moves from the reactor directly to a quench tower where a stream of dilute aqueous acrylic acid quickly cools, or "quenches", it from 310oC to 40oC to prevent further oxidation reactions.

Most of the acetic acid, acrylic acid, and water condense during cooling. Most of this bottoms stream (98.5% by volume) is recycled back through the quench tower, while the remainder is sent to the liquid-liquid extraction unit. The O2, CO2, N2, propylene, and some of the water remain in vapor phase and are sent to an off-gas absorber to recover the acrylic acid and acetic acid that have been entrained with this vapor stream. In the off-gas absorber, deionized water is used to recover the acrylic acid and acetic acid and the purge gases are sent to an off-gas incinerator.

A fraction of the quench tower dilute acid bottoms is sent to the liquid-liquid extractor. There, it is contacted with a countercurrent flow of organic solvent in order to preferentially dissolve the acrylic acid and acetic acid from the water. This process is possible because acrylic acid and acetic acid have a higher affinity for the solvent than they do for water, and because the solvent is not very soluble in water. Regardless, the stream leaving the top of the reactor will contain a relatively small amount of water along with solvent, acrylic acid and acetic acid. The bottoms stream will consist mostly of water with a few impurities. In the suggested design, diisopropyl ether is employed as the organic solvent. Though diisopropyl ether works tolerably well in extracting the acids, its normal boiling point of 68 oC is so low that expensive refrigerated water must be used in separation units further downstream. If a higher boiling point solvent can be found, then simple cooling tower water, which costs about one-tenth as much as refrigerated water, may be used in solvent recovery.

The bottoms of the acid extractor is sent to a waste water tower to remove enough of the impurities from the water so that it may be sent to a waste water treatment plant. The top stream of the tower consists mostly of diisopropyl ether which is recycled back to the liquid-liquid extractor. The bottoms stream, which is mostly water, is then sent to a waste water treatment plant.

The top stream from the acid extractor is fed to the solvent recovery tower. The water and solvent is taken off the top of the column and the acetic acid and acrylic acid come out the bottom. This stream is fed to the acid purification tower where acetic acid is taken off the top at 95% purity, and acrylic acid comes out the bottom at 99.9% purity.

 



V. Modeling Technique

Before any attempt was made to optimize the system, a model of the base case was developed to confirm the accuracy of our modeling techniques. It was essential that the results given by our model be in close agreement with those provided in the base case so that we could be assured that our modeling techniques were valid. The techniques implemented were fairly rigorous. All columns were modeled using radfrac on Aspen, which uses rigorous methods instead of shortcut methods. Also, when specifying pumps and heat exchangers, power input and heat transfer areas, as specified in the base case, were used instead of inputting desired outlet temperatures and pressures.

Also, to increase the accuracy of our model, experimental data was used to calculate the binary parameters to be used in the simulation. Several different property packages were tested, and it was found that using UNIQUAC yielded results most consistent with the base case.

The results yielded by our model of the base case were in close agreement with those provided by Turton. It was then concluded that our modeling techniques would yield accurate results, and, therefore, any results produced by our simulation could justifiably be compared with Those provided in the base case.

 



VI. Optimized Case

Once it was confirmed that our modeling techniques were in close agreement with those used in the base case, ways to optimize the system were considered. Optimization focused on the second half of the process starting from the liquid-liquid extractor. One of the greatest costs present in the base case involved the use of refrigerated water in the solvent recovery tower condenser. Changing the solvent used in the liquid-liquid extraction eliminated the need for refrigerated water and as a result, dramatically cut the utilities costs. Sizing the columns and optimizing the column reflux ratios resulted in smaller equipment and lower exchanger heat duties which decreased both the capital cost of the system and the utilities costs associated with operation.


A. The Solvent

The first consideration was the choice of the solvent. Diisopropyl ether, the solvent used in the base case, performs sufficiently well in the liquid-liquid extraction; however, because it has a boiling point of approximately 68 ° C and because the towers are running under vacuum, refrigerated water must be used in the condenser of the solvent recovery tower. This proves to be an enormous cost. Therefore, a new solvent was chosen to avoid the use of refrigerated water.

Several solvents were considered including: n-heptane, di-n-propyl ether, ethyl acetate, and isopropyl acetate. The ideal solvent would have a boiling point higher than diisopropyl ether but lower than acetic acid. This condition is so that the use of refrigerated water could be avoided. The solvent should also be relatively insoluble in water but have a high affinity for acrylic acid and acetic acid so that it will be successful in extracting the acrylic and acetic acid out of the water. The ideal solvent would also have a relatively low heat of vaporization so as to minimize the duty of the distillation tower reboilers. It is also important that the solvent not form any azeotropes that would hinder separation.

The chosen solvent, isopropyl acetate, sufficiently satisfies all these conditions. It has a normal boiling point of approximately 89 ° C and a heat of vaporization of approximately 33 kJ/mol. It does not form any separation-hindering azeotropes and is relatively insoluble in water while having a high affinity for acetic acid and acrylic acid. The most obvious difference between this solvent and diisopropyl ether is that it has a significantly higher boiling point that will allow the elimination of refrigerated water from the process.

Solvents with slightly different characteristics were also tested, but deemed inferior to isopropyl acetate. For example, the system was tested with diisobutyl ketone, which has a boiling point of 169.5 ° C, which is higher than water, acetic acid, and acrylic acid. The advantage of this solvent is that acetic acid and acrylic acid could both be separated as distillates, making it possibly easier to achieve the required purities. It was found, however, that using this solvent made it very difficult to keep the temperature in the solvent recovery column under 90 ° C. To achieve this, the column had to be run under almost complete vacuum. Another disadvantage of using diisobutyl ketone is that it would require the addition of another tower since the water and solvent could no longer be separated from the acrylic and acetic acid simultaneously.

Solvents such as n-heptane, which is almost completely insoluble in water but has an incredibly high affinity for acrylic acid, were also considered. The problem with using n-heptane, however, is that it does not successfully remove the acetic acid from the water. Because we want to sell the acetic acid, it would need to be separated from the water. Because there is only about 6 kmol of acetic acid in 1200 kmol of water, this separation would prove to be very difficult and would require high reflux.


B. Number of Trays and the Reflux Ratio

Once isopropyl acetate had successfully replaced diisopropyl ether as the solvent, the columns had to be sized and operated at reflux ratios that assure optimal performance. Optimization began with the liquid-liquid extractor. It was found that the number of stages of this unit could be decreased from 15 to 8, and the solvent flowrate could be decreased to 800 kmol/hr without significantly hindering performance. This is partially because the extractor is running with a different solvent and partially because the base case was designed with no attempt at optimization.

Once the extractor had been optimized, changes were made to the solvent recovery tower to further optimize the process. This tower was specified in the base case as a tower packed with 31 meters of high efficiency stainless steel packing. This packing was replaced with stainless steel sieve trays to increase the mass transfer efficiency. This change also resulted in a decrease in equipment cost because it allowed the size of the column to be significantly decreased.

Adjusting the number of trays in the column and the reflux ratio could further optimize the operation of this column. The minimum number of trays and the minimum reflux ratio required to achieve the desired separation were approximated using the Winn-Underwood-Gilliand method in Aspen. According to disillation heuristics, the optimal number of stages for distillation columns should be approximately two times the minimum number of stages, and the optimal reflux ratio should be about 1.2 times the minimum. These conditions could not be met exactly in the final design of the column since the minimum values were approximated using short cut methods. However, the column was designed to operate at values as close to these ideal values as possible. This same technique was also applied to the acid purification tower. The following chart gives the minimum values as approximated by the Winn-Underwood-Gilliand method for both the solvent recovery tower, T-304, and the acid purification tower, T-305.

Table 5.2: Minimum Reflux Ratios and Number of Stages

T-304

T-305

Minimum Reflux Ratio

0.093

12.3

Minimum Number of Stages

10.11

12.26

The optimization of the columns using the guidelines discussed above resulted, in most cases, in fewer stages and lower reflux ratios than specified in the base case.

Table 5.3: Reflux Ratios and Number of Stages

 

Base Case

Optimized Case

T-304

T-305

T-304

T-305

Reflux Ratio

1.14

14.3

0.2

14.3

Number of Stages

packing

38

21

29

As mentioned earlier, the conditions as specified by heuristics could not be met exactly since the minimum values were obtained by short-cut methods. However, comparison of table 5.3 to table 5.2 shows that the values in the final design did not stray too far from those specified by heuristics.

The reflux ratios seen in table 5.3 resulted in the following heat duties.

Table 5.4: Heat Duties

 

Base Case (GJ/hr)

Optimized Case (GJ/hr)

 

T-304

T-305

T-304

T-305

Condenser

108.300

2.280

43.915

2.416

Reboiler

101.000

2.230

43.280

2.374

The lower reflux ratios for the solvent recovery column, T-304, resulted in smaller heat duties in the condensers and reboilers. The smaller duties led to smaller required heat transfer areas and smaller steam and cooling water flow rates. This resulted in a lower capital cost and lower operating costs.

The duties for T-305, the acid purification tower, were pretty much the same as specified in the base case. This was not surprising since this tower was not really affected by the change in solvent and was, therefore, performing the same separation in both the base case and the optimized case. The column in the base case, however, had not been optimized so the size of the column could be decreased during optimization, cutting back on the capital cost.

Though the optimal reflux ratio and number of stages mentioned above were obtained from heuristics, it is important to reconfirm their validity. Therefore, the Winn-Underwood-Gilliand method was used to prepare plots relating the number of stages to the reflux ratio required to achieve the desired separation. The following graph is the plot for the solvent recovery tower, T-304.

Figure 5.1

The optimal conditions occur on the graph where the plot begins to curve upward (around 20-23 stages). Operating near the right side of the plot where the curve is very flat is undesirable because it requires a very large reflux ratio. It is more economical to operate with a lower reflux ratio even if it means the column will need more stages. Adding more stages affects the capital cost which is a one-time expenditure. In contrast, the reflux ratio affects the amount of cooling water and stream needed in the reboiler and condenser, so it affects the utilities costs, which must paid throughout the plant’s life. However, operating at a point where the slope of the curve becomes very steep should be avoided because, on this part of the curve, increasing the number of stages results only in a minimal decrease in the reflux ratio.

Referring back to Table 5.3, it can be seen that, using the distillation heuristics as a guide, the solvent recovery column was designed with 21 stages and was run with a reflux ratio of 0.2. This point falls in the range of optimal conditions identified in Figure 5.1.

The following plot is for T-305, the acid purification tower.

Figure 5.2

It can be seen from this plot that the optimal reflux ratio should be within the range of 14 to 16 and the optimal number of stages should be in the range of 22 to 26 stages. Looking back at Table 5.3 it can be seen that the column was designed with 28 stages and a reflux ratio of 14.3. The reflux ratio falls in the desired range, but the number of stages is a bit higher than the optimal values. The point at which the column had been designed does not even fall on the curve seen in Figure 5.2. This is because this plot was made using short-cut methods and is not very accurate. It is, however, accurate enough to determine approximate optimal values. The reflux ratio of 14.3, as determined by heuristics, falls in the optimal range specified by this curve. The number of stages is a little higher than the optimal values, but it is definitely more desirable to have a higher number of stages than a higher reflux ratio, as discussed earlier.

The optimal reflux ratios and number of stages identified in Figures 5.1 and 5.2 are in agreement with those specified by heuristics. Because the designs of T-304 and T-305, which were based on heuristics, have been confirmed by another method, it is concluded that design based on the heuristic specifications is reliable and that the columns have been designed for optimal performance.

After these two columns had been successfully sized and specified, the last column, the waste water tower, was optimized. The purpose of this last tower is to remove enough impurities from the water so that it can be sent to a wastewater treatment plant. It was found that the tower could be run with zero reflux and with only five trays and still remove enough of the impurities from the water.


C. Refrigerated Water vs. Cooling Water

Once the columns were optimized, the issues involving the utilities were addressed. As discussed earlier, one of the largest costs in the base case was the cost of the refrigerated water used as the coolant in the solvent recovery tower condenser. The use of refrigerated water was required because the base case solvent, diisopropyl ether, had a relatively low boiling point of 68 ° C. Because the tower was running under vacuum, cooling water could not condense the solvent coming out overhead.

Changing the solvent to isopropyl ester allows the elimination of refrigerated water from the system. Because of its higher boiling point, 89 ° C, it can be condensed with cooling water even under vacuum conditions. To assure that the replacement could be made, a heat exchanger was modeled on Aspen using cooling water and the vapor stream coming off the top of the optimized solvent recovery tower. It was confirmed that cooling water would be sufficient to condense the stream.


D. Optimized PFD

The following is the process flow diagram for the optimized case.

Although this PFD looks very similar to the base case PFD, many changes were made, as discussed in the earlier sections. Most of the columns have been resized and their reflux ratios readjusted. The biggest changes were made to the solvent recovery tower. The 31 meters of high efficiency stainless steel packing specified in the base case was replaced with 19 stainless steel sieve trays. The refrigerated water that had been used as the condenser coolant in the base case design was replaced with cooling water. This change represents the largest cost savings in this optimized design.



VII. Economic Analysis

Because optimization of the system resulted in fewer trays for most of the columns and lower heat duties for most heat exchangers, capital costs were reduced by 48%.

Figure 6.1: Capital Cost

Base Case

Optimized Case

Total Module Cost

$ 20,431,000

$ 10,535,000

Total Grass Roots Cost

$ 23,584,000

$ 12,198,000

The majority of this reduction resulted from the dramatic decrease in size of the solvent recovery column after the packing specified in the base case was replaced with trays.

Despite the significant decrease in capital cost, the most tremendous savings resulted from the elimination of refrigerated water as the coolant in the solvent recovery tower condenser. The use of refrigerated water accounts for 75% of the utilities cost in the base case. Over 20 years this amounts to close to 12 million dollars. The following graph compares the utility cost distribution between the base case and the optimized case.

Figure 6.1

Though the optimized case used slightly more cooling water, it completely eliminated the use of refrigerated water. This resulted in a remarkable decrease in utilities cost from $15,744,901 to $4,751,167. This is approximately a 70% decrease.

To summarize the difference between the economics of the base case and those of the optimized case, the net present value (NPV) was calculated. The following graph illustrates the difference in the NPV of the plant’s operation over twenty years after start-up.

Figure 6.2

The final NPV, using an interest rate of 10%, was approximately $400,000,000 for the optimized case compared to $300,000,000 for the base case. This represents an increase in the final NPV after 20 years of 33%.



VIII. Conclusion

The techniques described in this paper used to optimize the separations section of an acrylic acid plant were successful in increasing the net worth of the plant. The largest savings was incurred by eliminating the use of refrigerated water from the system. This was achieved by replacing the base case solvent with isopropyl acetate, which has a higher boiling point. Additional savings in utilities cost resulted from the lower heat duties in the many of the heat exchangers produced by the optimization of column reflux ratios.

The optimized design also succeeded in decreasing the capital cost. This resulted from optimizing the size of the distillation columns, which led to fewer trays and smaller columns. The optimization of column reflux ratios also contributed to the decrease in capital cost because in most cases, it resulted in lower heat duties, which means smaller heat exchangers.

In conclusion, optimization of the base case, as described in this paper, yielded 48% savings in capital cost and 70% savings in utilities costs. These savings led to a 33% increase in the net present value of the plant after 20 years.



IX. References

1. "Acrylic Acid and Derivatives." Encyclopedia of Chemical Processing and Design, Vol. 1, 414. New York: Marcel Dekker, Inc., 1976.

2. "Acrylic Acid and Derivatives." Ullmann’s Encyclopedia of Industrial Chemistry, Vol. A1, Fifth Edition. Deerfield Beach, Florida: VCH Publishers, 1985.

3. Armeniades, Constantine D. Personal interview.

4. Bauer, William Jr. "Acrylic Acid and Derivatives." Encyclopedia of Chemical Technology, Vol. 1, 296-299. New York: John Wiley & Sons, Inc., 1991.

5. Celanese Chemical Company. Product Description for Acrylic Acid. 1998

6. Celanese Chemical Company. Product Handling Guide for Acrylic Acid. 1998.

7. Chemical Market Reporter, 25 Oct. 1999.

8. Gmehling, et. al., Vapor-Liquid Equilibrium Data Collection. DECHEMA, 1992.

9. Miller, Clarence. Lecture

10. Seider, W.D., J.D. Seader, and D.R. Lewin. Process Design Principles: Synthesis, Analysis, and Evaluation. New York: John Wiley & Sons, Inc., 1999.

11. Sorensen, J.M. and W. Arit. Liquid-Liquid Equilibrium Data Collection: Ternary Systems. DECHEMA, 1980.

10. Turton, Richard et. al. Analysis, Synthesis, and Design of Chemical Processes. New Jersey: Prentice Hall, 1998.