CHAPTER 4: DISTILLATION CONTROL STRUCTURE SELECTION FOR
4.3 Distillation control structure selection
Generally, variables that are needed to be controlled for a binary distillation column are composition of the distillate ๐๐ท, composition of the bottom product ๐๐ต, liquid level in the reflux drum, liquid level in the base drum and pressure in the column. Usually, the manipulated variables are reflux flow, L, reboiler vapour flow, V, distillate flow, D, bottom product flow, B, and condenser duty. Column pressure is usually controlled by the condenser duty and various distillation column control configurations refer to the
pairing of other controlled and manipulated variables. Some typical distillation column control schemes include LV, DV, and LB control configurations.
In the LV control configuration, the top product composition is regulated by adjusting the reflux flow L and the bottom product composition is controlled by adjusting the reboilerโs energy which is equivalent to reboiler vapour flow V. Distillate rate is used to control the condenser level and bottom product rate B is used to control the reboiler level. Similarly for the DV control configuration, L is used to control the condensor level and D is used to control the top composition while the reboiler level is controlled by B and the bottom product composition is controlled by V.
4.3.1 RGA analysis
A multi-input multi-output (MIMO) system usually has interactions among the control loops. For better control of a process, control loop interactions should be minimised as a high degree of loop interaction makes the control difficult. Relative gain array (RGA) proposed by Bristol (Bristol, 1966) is a tool that can be used to quantify control loop interactions. Relative gain is the ratio of the steady state gain when the loops are open to the steady state gain with all other loops closed.
The relative gain between the ith controlled variable and the jth manipulated variable is represented mathematically as ๐ผ๐๐ = (โ๐ฆ๐ โ๐ข๐)๐๐๐ ๐๐๐๐๐ ๐๐๐๐ (โ๐ฆ๐ โ๐ข๐)๐๐๐ ๐๐๐๐๐ ๐๐๐๐ ๐๐ ๐๐ฅ๐๐๐๐ก ๐กโ๐ ๐ข๐ ๐๐๐๐ 4.11 = ๐๐๐๐ ๐๐ ๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐
RGA is then obtained when the relative gains for all the pairing combinations in a multi-loop control system are calculated and put in an array.
๐ ๐บ๐ด = [ ๐ผ11 ๐ผ12 โฆ ๐ผ1๐ ๐ผ21 ๐ผ22 โฆ ๐ผ2๐ โฎ โฎ โฑ โฎ ๐ผ๐1 ๐ผ๐2 โฆ ๐ผ๐๐ ] 4.12
A relative gain of 1 on the diagonal of RGA indicates that there are no control loop interactions. The strategy is then to match the controlled and manipulated variables when ๐ผ๐๐ is nearest to 1 and to avoid the pairings with close to zero or negative relative
4.3.2 Thermodynamic analysis
Exergy is from a combination of the 1st and 2nd laws of thermodynamics. It is a key aspect of providing better understanding of the process and quantifying sources of inefficiency and distinguishing quality of energy used (Jin et al., 1997, Rosen and Dincer, 1997, Doldersum, 1998). Exergy analysis is a measure of the quality of energy and is the maximum work produced or the minimum required depending on whether the system produces or requires work in bringing the system through reversible process with the environment. It is a tool for determining how efficient a process is (Dhole and Linnhoff, 1993, Demirel, 2004).
Exergy represents the part of energy, which can be converted into maximum useful work. It is used to establish criteria for the performance of engineering devices (Asada and Boelman, 2004). Unlike energy, exergy is not conserved and gets depleted due to irreversibilities in the processes (Sengupta et al., 2007). The greater the extent of irreversibilities is, the greater the entropy production is. Therefore, entropy can be used as a quantitative measure of irreversibilities associated with a process. Minimization of irreversibility in processes implies increase in energy efficiency of such process. Exergy analysis of processes gives insights into the overall energy usage evaluation of the process, potentials for efficient energy usage of such processes can then be identified and measures for improving energy usage of the processes can be suggested.
The total exergy of a stream is calculated as
๐ธ๐ฅ๐ก๐๐ก๐๐ = ๐ธ๐ฅ๐โ๐ฆ+ ๐ธ๐ฅ๐โ๐๐+ ๐ธ๐ฅ๐๐๐ฅ๐๐๐ 4.13
๐ธ๐ฅ๐โ๐ฆ = ๐ป โ ๐ป0 โ ๐0(๐ โ ๐0) 4.14
๐ธ๐ฅ๐โ๐ฆ = โ๐ป โ ๐0โ๐ 4.15
โ๐ธ๐ฅ๐โ๐๐=โ ๐๐๐๐โ๐+ ๐ ๐0โ ๐๐๐๐๐พ๐ 4.16
In the above equations, ๐๐โ๐ is the chemical exergy for component i, ๐พ๐ is the activity
coefficient of component i, ๐ป is the total enthalpy, ๐ is the total entropy, ๐0 is the reference temperature, ๐ป0 and ๐0 are enthalpy and entropy respectively measured at reference conditions.
For a heat source such as the reboiler, if Qz is a heat source at an absolute temperature,
z
T , and if T0 is the ambient temperature, then the work equivalent of heat is given by
๐๐ = โซ (1 โ๐๐0
๐) ๐๐๐
๐๐๐๐๐
๐๐๐ก๐๐๐ 4.17
where ๐๐๐ is an incremental heat transfer at absolute temperature ๐๐ and the integral is
from initial state to final state.
If the temperature of the heat source is constant, the work equivalent of heat is given by (Dincer and Rosen, 2012)
๏จ
๏ฉ
z z z T Q T T W 0 max ๏ญ ๏ฝ 4.18This is the absolute theoretical maximum work recoverable. Equation 4.18 is used in calculating the exergy of the reboiler and the condenser.
Exergy efficiency of a system is calculated as ๐ =โ ๐ธ๐ฅ๐๐ข๐ก
โ ๐ธ๐ฅ๐๐ 4.19
While the exergy loss of a system is given as
๐ผ = โ ๐ธ๐ฅ๐๐โ โ ๐ธ๐ฅ๐๐ข๐ก 4.20
It takes a good engineering judgement to determine the streams that are qualified as in and those that are qualified as out.
For a binary distillation system the total exergy in and total exergy out are given as
๐๐๐ก๐๐ ๐ธ๐ฅ๐๐=๐ธ๐ฅ๐๐๐๐+ ๐ธ๐ฅ๐ ๐๐๐๐๐๐๐ 4.21
๐๐๐ก๐๐ ๐ธ๐ฅ๐๐ข๐ก = ๐ธ๐ฅ๐ท๐๐ ๐ก๐๐๐๐๐ก๐ + ๐ธ๐ฅ๐ต๐๐ก๐ก๐๐๐ 4.22
In the above equations, Exfeed, ExReboiler, ExReflux, ExBoilup, ExDistillate, and ExBottom are,
respectively, the exergy in the feed stream, reboiler, reflux stream, boil up stream, distillate product stream, and bottom product stream.
4.3.3 Relative exergy array
Relative exergy gain is defined as โthe ratio of the gain change in the steady state exergy of the controlled stream with respect to that of the manipulated stream when all loops are open to the gain change in the steady state exergy of the controlled stream with respect to that of the manipulated stream when all other loops are closed and in perfect controlโ (Montelongo-Luna et al., 2011). This is given in equation 4.23.
๐ฝ๐๐ = (โ๐ธ๐ฅ(๐ฆ๐) โ๐ธ๐ฅ(๐ข๐))๐๐๐ ๐๐๐๐๐ ๐๐๐๐ (โ๐ธ๐ฅ(๐ฆ๐) โ๐ธ๐ฅ(๐ข๐))๐๐๐ ๐๐๐๐๐ ๐๐๐๐ ๐๐ ๐๐ฅ๐๐๐๐ก ๐กโ๐ ๐ข๐ ๐๐๐๐ 4.23
REA is based on the RGA concept by replacing relative gain with relative exergy gain. The exergy gain ratio is usually calculated after a step input change in the manipulated variable. It gives the amount of exergy change in the controlled variable resulting from the exergy change in the manipulated variable and hence provides information on the thermodynamic efficiency of the pairing. This permits a good insight to the energy efficiency of a process right from the design stage and allows for the choice of optimum combination of loops.
Putting all the relative exergy gains in an array gives the relative exergy array:
๐ ๐ธ๐ด = [ ๐ฝ11 ๐ฝ12 โฆ ๐ฝ1๐ ๐ฝ21 ๐ฝ22 โฆ ๐ฝ2๐ โฎ โฎ โฑ โฎ ๐ฝ๐1 ๐ฝ๐2 โฆ ๐ฝ๐๐ ] 4.24
REA indicates the exergy efficiency effects of pairing each of the manipulated variables to each of the controlled variables. It is defined analogous to the relative gain array. If the value of a relative exergy gain on the diagonal of REA is equal to 1, then it indicates the thermodynamic efficiency of the control loop under consideration is not affected by the other control loops (Montelongo-Luna et al., 2011, Munir et al., 2013c, Munir et al., 2012b). This control loop pairing will be good in terms of thermodynamic efficiency. The value of a relative exergy gain greater than 1 implies that the exergy change from the open loop is much more pronounced. In this case, interaction from the variables in the process will decrease the process exergy change. The value of a relative exergy gain less than 1 indicates the exergy change due to open loop is less and hence an increase in exergy changes when the loops are closed. If the sign is negative, closing the control loop will improve the thermodynamic efficiency of the process but if on the other hand the sign is positive, this shows that the thermodynamic efficiency of the process will be decreased by the control loop. In control structure selection, a control loop paring with relative exergy gain close to one is preferred.