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Optimization of combined air stripping and activated carbon adsorption for VOC removal from groundwater Item Type Thesis-Reproduction (electronic); text Authors Voigt, David Robert,1954- Publisher The University of Arizona. Rights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. Download date 10/07/2018 10:35:10 Link to Item http://hdl.handle.net/10150/191962

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Optimization of combined air stripping and activatedcarbon adsorption for VOC removal from groundwater

Item Type Thesis-Reproduction (electronic); text

Authors Voigt, David Robert,1954-

Publisher The University of Arizona.

Rights Copyright © is held by the author. Digital access to this materialis made possible by the University Libraries, University of Arizona.Further transmission, reproduction or presentation (such aspublic display or performance) of protected items is prohibitedexcept with permission of the author.

Download date 10/07/2018 10:35:10

Link to Item http://hdl.handle.net/10150/191962

OPTIMIZATION OF COMBINED AIR STRIPPING ANDACTIVATED CARBON ADSORPTION FOR VOC REMOVAL FROM GROUNDWATER

byDavid Robert Voigt

A Thesis Submitted to the Faculty of the

DEPARTMENT OF CIVIL ENGINEERING AND ENGINEERING MECHANICS

In Partial Fulfillment of the RequirementsFor the Degree of

MASTER OF SCIENCEWITH A MAJOR IN CIVIL ENGINEERING

In the Graduate College

THE UNIVERSITY OF ARIZONA

1987

STATEMENT BY THE AUTHOR

This thesis has been submitted in partial fulfillment ofrequirements for an advanced degree at The University of Arizona and isdeposited in the University Library to be made available to borrowersunder rules of the Library.

Brief quotations from this thesis are allowable without specialpermission, provided that accurate acknowledgment of source is made.Requests for permission for extended quotation from or reproduction ofthis manuscript in whole or in part may be granted by the head of themajor department or the Dean of the Graduate College when in his or herjudgment the proposed use of the material is in the interests ofscholarship. In all other instances, however, permission must beobtained from the author.

APPROVAL BY THESIS DIRECTOR

This thesis has been approved on the date shown below:

G.L. AMY DateAssociate Professor of

Civil Engineering

ACKNOWLEDGMENTS

This thesis and the environmental courses completed represent a

significant personal accomplishment of which I am very proud. My

sincere appreciation to Dr. Gary Amy for his steadfast insistence of

excellence in these academic efforts. Most importantly, my thanks to

my wife and parents for their encouragement and support. Finally, I

owe a word of appreciation to Patricia and Brad for their assistance in

accomplishing the typing and graphics.

111

TABLE OF CONTENTS

Page

LIST OF TABLES v

LIST OF FIGURES vi

ABSTRACT x

INTRODUCTION I

OBJECTIVES 3

LITERATURE REVIEW 4

Air Stripping; Theory, Models and Studies 5GAC; Theory, Models and Studies 15Combining Air Stripping with GAC 17EPA Regulations 20Analysis and Monitoring Techniques 24Case Studies 25

EXPERIMENTAL PROCEDURES 26

Compounds Examined 26Air Stripping Experiments 28Powdered Activated Carbon Experiments 41Analytical Testing 45

RESULTS AND DISCUSSION 47

Air Stripping Experiments 47Activated Carbon Experiments 55

OPTIMIZATION AND ECONOMICS 60

CONCLUSIONS 72

APPENDIX: TABULATIONS AND GRAPHICAL PLOTS OF RESULTS OF THE AIRSTRIPPING EXPERIMENTS 73

REFERENCES 124

iv

LIST OF TABLES

Table Page

1. USEPA Standards For VOCs in Drinking Water 22

2. Properties of Compounds Studied 29

3. Isotherm Data for CT in Presence of TCE and 1,4 DCBon Activated Carbon 42

4. Isotherm Data for TCE in Presence of CT and 1,4 DCBon Activated Carbon 43

5. Isotherm Data for 1,4 DCB in Presence of CT and ICEon Activated Carbon 44

6. Mechanical Specifications for Packing Media 49

7. Sample Concentrations for VOC Experiments 74

8. Percent Removal Relative to Top of Packing 75

9. Incremental Percent Removal Between Sample Ports 76

10. (Cin/Cout) Relative to Top of Packing 77

11. Incremental (Gin/Gout) Between Sample Ports 78

12. Stripping Factors, R 79

13. Number of Transfer Units, NTU, Relative to Top ofPacking 80

14. Number of Transfer Units, NTU, Incremental BetweenSample Ports 81

15. Liquid Mass Transfer Coefficient, K La, Relative toTop of Packing 82

16. Liquid Mass Transfer Coefficient, K La, IncrementalBetween Sample Ports 83

v

LIST OF FIGURES

Figure Page

1. Relationship Between Stripping Factor and NTU 11

2. Diagram of Air Stripping Column and Appurtenances 31

3. Orifice Meter Details and Dimensions 33

4. Orifice Flow Meter, Differential Pressure vs. CFM 34

5. Air Flow Meter and Column Pressure Gauges, ValvePositions, A 36

6. Air Flow Meter and Column Pressure Gauges, ValvePositions, B 37

7. Column Hydraulics for Pall Rings Media 39

8. Column Hydraulics for Tripacks Media 40

9. Experiments 1-5, Pall Rings, CT Removal Relative toTop of Packing vs. A:W 84

10. Experiments 1-5, Pall Rings, TCE Removal Relative toTop of Packing vs. A:W 85

11. Experiments 1-5, Pall Rings, 1,4 DCB RemovalRelative to Top of Packing vs. A:W 86

12. Experiments 1-5, Pall Rings, CT Removal per FootRelative to Top of Packing vs. A:W 87

13. Experiments 1-5, Pall Rings, TCE Removal per FootRelative to Top of Packing vs. A:W 88

14. Experiments 1 - 5, Pall Rings, 1,4 DCB Removal perFoot Relative to Top of Packing vs. A:W 89

15. Experiments 1-5, Pall Rings, CT Removal per Foot,Incremental Between Sample Ports vs. A:W 90

16. Experiments 1-5, Pall Rings, TCE Removal per Foot,Incremental Between Sample Ports vs. A:W 91

v i

vi i

LIST OF FIGURES - Continued

Figure Page

17. Experiments 1-5, Pall Rings, 1,4 DCB Removal perFoot, Incremental Between Sample Ports vs. A:W 92

18. Experiments 1-5, Pall Rings, CT, K La Relative toTop of Packing vs. A:W 93

19. Experiments 1-5, Pall Rings, ICE, KLa Relative toTop of Packing vs. A:W 94

20. Experiments 1-5, Pall Rings, 1,4 DCB, KLa Relativeto Top of Packing vs. A:W 95

21. Experiments 1-5, Pall Rings, CT, KLa IncrementalBetween Sample Ports vs. A:W 96

22. Experiments 1-5, Pall Rings, TCE, K La IncrementalBetween Sample Ports vs. A:W 97

23. Experiments 1-5, Pall Rings, 1,4 DCB, KLa IncrementalBetween Sample Ports vs. A:W 98

24. Experiments 6-9, Pall Rings, CT Removal Relative toTop of Packing vs. A:W 99

25. Experiments 6-9, Pall Rings, TCE Removal Relative toTop of Packing vs. A:W 100

26. Experiments 6-9, Pall Rings, CT Removal per FootRelative to Top of Packing vs. A:W 101

27. Experiments 6-9, Pall Rings, TCE Removal per FootRelative to Top of Packing vs. A:W 102

28. Experiments 6-9, Pall Rings, CT Removal per Foot,Incremental Between Sample Ports vs. A.W 103

29. Experiments 6-9, Pall Rings, TCE Removal per Foot,Incremental Between Sample Ports vs. A:W 104

30. Experiments 6-9, Pall Rings, CT, KLa Relative toTop of Packing vs. A.W 105

31. Experiments 6-9, Pall Rings, ICE, KLa Relative toTop of Packing vs. A-W 106

viii

LIST OF FIGURES - Continued

Figure Page

32. Experiments 6-9, Pall Rings, CT, K La IncrementalBetween Sample Ports vs. A:W 107

33. Experiments 6-9, Pall Rings, ICE, K La IncrementalBetween Sample Ports vs. A:W 108

34. Experiments 10-14, Tripacks, CT Removal Relative toTop of Packing vs. A.W 109

35. Experiments 10-14, Tripacks, TCE Removal Relative toTop of Packing vs A:W 110

36. Experiments 10-14, Tripacks, 1,4 DCB RemovalRelative to Top of Packing vs. A.W 111

37. Experiments 10-14, Tripacks, CT Removal per FootRelative to Top of Packing vs. A.W 112

38. Experiments 10-14, Tripacks, ICE Removal per FootRelative to Top of Packing vs. A.W 113

39. Experiments 10-14, Tripacks, 1,4 DCB Removal perFoot Relative to Top of Packing vs. A.W 114

40. Experiments 10-14, Tripacks, CT Removal per FootIncremental Between Sample Ports vs. A:W 115

41. Experiments 10-14, Tripacks, TCE Removal per FootIncremental Between Sample Ports vs. A:W 116

42. Experiments 10-14, Tripacks, 1,4 DCB Removal perFoot Incremental Between Sample Ports vs. A:W 117

43. Experiments 10-14, Tripacks, CT, Ka, Relativeto Top of Packing vs. A-W 118

44. Experiments 10-14, Tripacks, TCE, KLa, Relativeto Top of Packing vs. A:W 119

45. Experiments 10-14, Tripacks, 1,4 DCB, K La,Relative to Top of Packing vs. A:W 120

46. Experiments 10-14, Tripacks, CT, KLa IncrementalBetween Sample Ports vs. A:W 121

ix

LIST OF FIGURES - Continued

Figure Page

47. Experiments 10-14, Tripacks, TCE, K La IncrementalBetween Sample Ports vs. A:W 122

48. Experiments 10-14, Tripacks, 1,4 DCB, K La IncrementalBetween Sample Ports vs. A:W 123

49. Freundlich Isotherm of CT in Presence of ICE and1,4 DCB on Activated Carbon 57

50. Freundlich Isotherm of TCE in Presence of CT and1,4 DCB on Activated Carbon 58

51. Freundlich Isotherm of 1,4 DCB in Presence of CT andTCE on Activated Carbon 59

52. Packing Depth vs. Percent Removal by Air StrippingPretreatment 67

53. Activated Carbon Use vs. Percent Removal by AirStripping Pretreatment 68

54. Treatment Costs vs. Packing Height, Optimum DesignPoint 70

ABSTRACT

This study examines the combined treatment processes of air

stripping and activated carbon adsorption for removing carbon

tetrachloride, trichloroethylene and 1,4 dichlorobenzene from

groundwater. Air stripping was used as a pretreatment with activated

carbon as a polishing step. Optimization is achieved by determining

the minimum operating and amortization costs for the variables of

packing media depth versus carbon usage rate. A simplified design

example illustrates the method of determining the optimum combination

of treatment processes for the compounds and concentrations examined.

The study included laboratory experiments which examined the air

stripping performance of two different packing media as well as

developing activated carbon isotherms. The transfer unit model was

utilized to estimate the overall liquid mass transfer coefficient (1(0)

for all three compounds at all experimental points.

X

INTRODUCTION

Numerous chemical contaminants have been occurring in drinking

water supplies with increasing frequency during the past several

years. Federal, State, local and private studies have sampled and

identified many hundreds of different chemical compounds in

groundwater. Most are the result of accidental or deliberate

discharges of industrial or commercial chemicals and waste products.

Among these are volatile organic compounds (VOCs) and synthetic organic

compounds (SOCs). Many of these substances have been found to cause

serious adverse health effects in animals and humans and have prompted

the implementation of regulations to control their presence in drinking

water.

Presently, hundreds of drinking water suppliers are faced with

contamination problems which must be addressed. Over recent years,

numerous groundwater pollutants were treated with granular activated

carbon (GAC). However, GAG often proved to be somewhat ineffective as

a reliable and cost effective means of treatment. Frequently VOCs

would achieve early breakthrough, thereby requiring frequent and

expensive carbon replacement or regeneration.

Recently, many researchers and engineers are recognizing the

advantages of using air stripping and activated carbon in a two-stage

treatment process. This system has the ability to effectively treat

groundwaters containing multiple contaminants having diverse

1

2

volatilities and adsorption characteristics. Using air stripping as a

pretreatment step will remove most or all of the highly volatile

compounds as well as varying amounts of the lesser volatile compounds

thus reducing the organic load on the activated carbon. There is also

a wide range of design and operation flexibility with the combined

systems.

This study attempts to demonstrate the applicability of this

system for a selected combination of chemical compounds. Laboratory

experiments were conducted to establish performance of a typical air

stripper and adsorption isotherms were developed to determine the

capacity of a specific activated carbon for the multi-solute solutions.

Current research and implementation of combined air stripping

and carbon adsorption is proving to be an effective technology. The

means by which an optimum combination is determined will remain a

challenge to the engineer. This study suggests one basic approach

together with the development of the necessary preparatory information.

OBJECTIVES

The objective of this study was to demonstrate the advantages of

combining air stripping with activated carbon adsorption for removing

VOCs from groundwater. Optimization is achieved by performing a

comparison of the treatment costs associated with accomplishing a given

level of VOC removal. Laboratory experiments were utilized to

establish air stripping performance and activated carbon capacity for

treating three selected organic contaminants. The compounds were

examined in multi-solute solutions in order to realistically reflect

any competitive effects.

3

LITERATURE REVIEW

The process of air stripping and activated carbon adsorption

have been widely used in recent years, but generally as separate

systems. The water treatment and chemical engineering fields have

generated a vast number of publications and references relating the

both of these processes. Only recently have researchers and industry

begun to report on water treatment systems which combine air stripping

with activated carbon adsorption.

A rather extensive literature search resulted in many reference

articles and bibliographical sources related to VOCs, air stripping and

activated carbon adsorption. Most information is from the American

Water Works Association Journal, Research Foundation reports and

conference papers. Many additional articles were found in other

engineering journals, periodicals and conference proceedings.

Approximately 80 percent of the references were published within

the last five years and the remaining 20 percent were published between

1975 and 1980. Clearly the period since 1980 has been the most

intensive for scientific research and engineering activities in this

field.

It is interesting to note the chronological sequence of events

as reflected in the topics reported in periodical literature.

1975 - Discovery of THMs, SOCs and VOCs in drinking water.

4

5

1978 - EPA proposes use of granular activated carbon for

treatment to meet MCLs.

1980 - Initial publication of research and studies of air

stripping and aeration techniques for treatment of THMs, SOCs, and

VOCs. Most research involved comparisons between GAC and air stripping

in an attempt to demonstrate that air stripping was a better technology

for VOCs, THMs and some SOCs.

1981 - Many case studies are reported which demonstrate

effective use of air stripping for VOC removal from drinking water.

Most researchers do indicate that a series combination of air stripping

and GAG would be effective for removal of multiple contaminants

involving volatile and non-volatile organics.

1983 to 1987 - Research and plant studies present quantitative

data regarding the effectiveness of series operation of air stripping

and GAG treatment. Improvements in air stripper design, packing media

and application are evident.

Air Stripping; Theory, Models and Studies

The basis of air stripping theory is found in the two—film model

for mass transfer between gases and liquids [31]. There are four steps in

the transfer process; 1) diffusion within the bulk liquid, 2) transfer

through the liquid film, 3) transfer through the gas film and,

4) diffusion within the bulk gas. When sufficient mixing is provided

within the bulk gas and bulk liquid phases, the bulk-diffusion factors

are relatively negligible and the rate controlling factor becomes the

transfer through the gas-liquid interface. The degree of solubility of

6

the gas will then dictate whether the gas or liquid film will be rate

controlling. VOCs have relatively low solubilities, thus the mass

transfer across the liquid film is generally rate controlling. The

term used to represent this is the overall liquid mass transfer

coefficient, KL.' The driving force for mass transfer is the

concentration gradient that exists between the bulk gas and liquid.

The overall rate of mass transfer from bulk liquid to bulk gas is

mostly dependent upon the solubility of the VOC, usually expressed in

terms of a Henry's Law constant, and the magnitude of the concentration

gradient produced by the air stripper. The effects of relative

diffusivity of VOCs generally is not important because there is

significant turbulence within the bulk solution and the diffusivity

coefficients, dependent upon molecular size and weight, often do not

differ significantly among VOCs.

Several different design models for air stripping of volatile

organic compounds (VOCs) from water have been developed. The various

equations generally determine the overall mass transfer coefficients

based upon variables such as, compound characteristics, temperature,

packing media, liquid loading rate, air to water ratio, and compound

concentration. Subsequent calculations and characteristic curves are

then utilized to determine packing height, pressure drops, tower

diameter and final air to water ratios.

The chemical engineering field has long used a transfer unit

model for gas absorption system [1]. The efficiency of a given packed

column is represented by the Height of a Transfer Unit (HTU), and the

7

number of transfer units are chosen to achieve a desired transfer ratio

within a certain column height. Chemical engineers generally design

systems that handle concentrated solutions whereas water treatment

concentrations are much more dilute. Consequently, the procedures

developed for the design of gas absorption systems can be simplified

and adapted to water treatment applications.

The kinetic theory of gases states that molecules of dissolved

gases can readily move between the liquid and gas phases.

Consequently, if water contains a volatile compound in excess of its

equilibrium concentration, then the compound will move from the liquid

phase (water) to the gas phase (air) until equilibrium is reached. The

driving force for air striping is derived by maintaining a gradient

between the equilibrium conditions and the operating condition within

the column.

Different compounds will exhibit different degrees of volatility

based upon their Henry's Law constant. Henry's Law constant is the

ratio of the partial pressure of a compound in air to the mole fraction

of the compound in water at equilibrium. Compounds with a high Henry's

Law constant are easier to strip from water than those with a low

Henry's Law constant. Determination of an appropriate Henry's Law

constant for the design model equations is an important step. For most

compounds of concern in domestic water treatment these are generally

accepted values which are widely published. Some researchers have

recently conducted the necessary laboratory experiments to establish or

verify Henry's Law constants [2, 3, 4, 5].

8

The Henry's Law constant (H) is strongly influenced by

temperature. The relationship of H to temperature can be modeled by a

van't Hoff-type relation. If the enthalpy change caused by dissolution

of the compound in water is considered independent of temperature, the

relation takes the following form:

log H --AH° _LRT 1- K

where R = the universal gas constant, 1.987 kcal/kmol, °K; T = absolute

temperature (°K); AH° = change in enthalpy due to dissolution of the

compound in water (kcal/kmol); and K = constant. Henry's Law constants

can thus be adjusted to account for temperature differences that may

exist between literature values, pilot studies or scale-up design.

The transfer unit model (adapted from chemical engineering design

methods) has received extensive use in recent years. Use of the transfer

unit model is found in references [6 - 13]. Kavanaugh and Trussell [6]

present a comprehensive design methodology and quantitative framework for

evaluation of pilot plant studies using the transfer unit model. The

general form of the equation is:

Z = HTU x NTU

where Z = height of packing (m); HTU = height of a transfer unit (m);

NTU = number of transfer units (dimensionless). HTU characterizes the

efficiency of mass transfer from water to air:

L HTU - KLaC

o

9

where L = liquid loading rate (kg . mole/m2 . hour); KLa = overall liquid

phase mass transfer coefficient (hr -1 and Co = molar density of

water (kg . mole/m3 ).

The overall liquid phase mass transfer coefficient, K La is a

function of the specific compounds being removed, packing media, and

liquid loading rate. Recent studies have also found that the air loading

rate may also influence K La [14]. Approximations of KLa can be obtained

from empirical relationships such as the Sherwood-Holloway [15] or

Onda-Takeuchi-Okumoto [16] correlations. However, pilot and lab scale

testing proves to be the most reliable means of determining

K La. Bishop and Cornwell [11] suggest that the transfer unit model be

solved for K La utilizing lab or pilot scale data and a reasonable

estimation of Henry's Law constants.

The number of transfer units, NTU, is a characterization of the

difficulty of removing a solute from the liquid phase. For dilute

solutions and solutes which obey Henry's Law, the expression for NTU can

be solved analytically. The equation for NTU is:

R (Cin/Cout)(R - 1) + 1NTU — lnR - 1 R

where R = stripping factor (dimensionless); C in/Cout = the ratio of

solute influent to effluent concentration (dimensionless). The

stripping factor, R, is defined as:

HGR— Pt L

where H = Henry's Law constant (atm); Pt = the total pressure (atm);

1 0

G - air loading rate (kg moles/m2h); and L - the water loading rate

(kg moles/m2 h).

The relationship between stripping factor, R, and NTU for

various solute removal percentages is illustrated on Figure 1. Note

that R must be greater than 1 to get much removal, but increasing R

beyond 4 or 5 will yield diminishing improvements. The ratio of solute

influent to effluent concentrations, C in/Cout , may be equal to actual

stripper sample concentrations if the objective is to determine KLa or

may represent proposed removal concentrations if the objective is to

design a full-scale stripping column for a given removal efficiency.

Kavanaugh and Trussell [6] also present a design example which

illustrates the calculations needed to evaluate allowable gas flow

pressure drop and tower diameter.

Various other design models have been developed by other

researchers which are not directly derived from the transfer unit model

[2, 3, 11, 17]. Singley et al. [2] present a comprehensive design

approach whereby compound equilibrium constants, H, are derived

experimentally and the mass transfer coefficients are a function of

Reynolds Number, Re. They conclude that the judgement as to whether a

compound can be removed by air stripping must be based upon the Henry's

Law constant and the mass transfer coefficient. Mass transfer

coefficients that were developed were independent of the packing

material and thus could be used with any packing provided the surface

area per unit volume of packing is known. Scale up procedures and

extensive cost analysis information are presented.

30

11

Removal

99.95%

99.90%

99%

90%

25=F-Z

.,(I,4-).r.-= 20=L.w4-0C0LI-154-o

LW.raE== 10

Figure 1. Relationship Between Stripping Factor and NTU.from ref. [2]

12

McCarty et al., [17, 18] present a simple equilibrium model

which suggests that for a given air to water ratio and Henry's Law

constant there will be a corresponding lower concentration of solute in

the effluent at equilibrium. A wide range of compounds were examined

on a full-scale stripping tower.

Reference [3] presents a unique design approach which was used

to plan and operate a full scale air stripping system to remove TCE.

The design equation somewhat resembles the transfer unit model:

ZtA =

RI C 1ln [C2

C1 — -AwHc C 2

KL a 1 RT AHw c

in which Zt = height of packing, m; A = cross-sectional area of tower,

m2 ; L = volumetric liquid flow rate, m3/min; C 1 = the inlet

concentration, ppb; C 2 = the outlet concentration, ppb;

R = the universal gas constant; T = the temperature, °K; Aw = the

volumetric air to water ratio and Hc = Henry's Law constant, m3

atm/mol. Using a generalized flooding and pressure drop diagrams (from

ref 77), the volume of tower packing is calculated:

.5X -

1 (p l/p g ) °As,,

in which X = packing volume, m3 ; )3 1 = density of water, lb/ft3; P g =

density of air, lb/ft 3 . The air loading rate, G, is determined:

G - (YPgf1gc)05

Fia° .2

13

in which Y = gas pressure drop, inches water per foot; g c = gravitational

acceleration, 32.2 ft/sec 2 ; F = packing factor, ft -1 ; and /4= water

viscosity, centipoise. Final calculations determine the tower diameter

and packing depth.

Dyksen et al., [19] presents a summary of packed column pilot

test data from 22 wells with nine different VOCs. Some pertinent

conclusions were;

1) The VOC concentration affected the percent removal rate with

higher VOC concentrations achieving slightly higher removal rates.

2) Higher removal efficiency was obtained if only one VOC was

present in the water.

3) At lower liquid loading rates, the mass transfer

characteristics generally correlated with the Henry's Law constant.

The influence of multiple solutes on stripping rate has been assumed by

most researchers to be negligible; however, no definitive studies have

been conducted. Dyksen also concludes that pilot studies have proved

to be necessary for developing design criteria for full scale treatment

facilities.

At the time when air stripping towers were first being introduced

for use in treating contaminated groundwaters, questions were often

raised concerning the secondary effects of the VOC-laden air that exits

the top of the stripping tower. Umphres et al., [20] briefly review the

use of GAC adsorption for air pollution control. They recommend pilot

studies and steam regeneration of the GAC. Some additional secondary

effects which Umphres also discusses are the problems associated with

14

iron precipitation and removal of free and combined chlorine. It

appears that for typical air stripping facilities significant losses of

either free or combined chlorine will not occur.

Improving stripping tower performance can be approached by a

number of ways other than increasing air to water ratios. Johnson et

al., [21] conducted field studies that focused on raising the

temperature of the water stream in order to remove methyl ethyl ketone,

MEK. A series of batch runs at progressively higher temperatures

produced favorable results. Zanetti et al., [22] elaborate on efficient

liquid distributors and redistributors for improved performance. A

particularly informative paper is presented by Chen [23], although

directed toward the chemical engineering field, does provide the water

treatment design engineer with an overview of some of the materials and

equipment that are available for full-scale stripping towers. Subjects

include support plates, liquid distributors, liquid redistributors,

collectors, packing types and materials, troubleshooting problems and

upgrading existing towers.

Studies investigating the mass transfer of volatile organic

compounds by means of diffused aeration was done by Roberts and Dandliker

[24] and Matter-Muller et al., [25]. Wood et al., [26] and O'Brien and

Stenzel [27] show respectable performance of spray head aeration for a

wide range of VOCs although the operating costs due to increased pumping

pressures are a drawback. Dyksen et al., [28, 29] and Goers and Hubbs

[30] present general comparisons of the various aeration techniques with

a conclusion that packed columns are the most efficient and economical.

15

GAC Theory Models and Studies

Activated carbon adsorption was deemed the best available

technology for VOC removal in the period immediately following the

discovery of toxic organics in water supplies, late 1970s - early

1980s. Although massive volumes of literature exist on the

applications and characteristics of activated carbon and other

synthetic adsorbents some of the most relevant appearing in periodicals

and research reports are presented here. In the experimental work done

for this paper, activated carbon adsorption isotherms were prepared

primarily as a basis of comparison with air stripping and to establish

relative adsorbability of multi-solute solutions on one particular

carbon type. Greater emphasis was placed on analyzing the variables

present with air stripping systems. For this reason the literature

review, results, discussions and conclusion regarding activated carbon

are somewhat general.

The theories associated with activated carbon adsorption are

found in many reference tests [1, 31] and general discussions are also

found in periodical literature [32] and reports [33]. Many different

models have been developed for characterizing single and multi-solute

adsorption processes. McGuire and Suffet [32] present a brief overview

of the following: mass transfer zone model (MTZ), Numeric model

(MADAM, Michigan Adsorption Design and Application Model), Ideal

Adsorbed Solution Theory (IAST), Polamyl Adsorption Potential Theory,

Solvophobic Theory, Brunauer, Emmett, Teller (BET) and net adsorption

energy concept. Weber [34] applied the MADAM model to seven toxic or

16

carcinogenic compounds found commonly in U.S. water supplies and found

the model suitably predicted breakthrough profiles for fixed bed

adsorbers. Crittenden et al., [35] applied the IAST theory to

multi-solute mixtures of six VOCs and used it to predict competitive

effects in waters having unknown background constituents. Crittenden

et al., [36] also found that a simplified version of the MTZ model can

be used to optimize design of fixed bed adsorber systems. Pilot and

full-scale data are presented to demonstrate its validity.

The most widely used models for characterizing single solute

adsorption are the Langmuir and Freundlich equations. The Langmuir

model is based upon the hypothesis of single-layer adsorption. It

assumes that maximum adsorption corresponds to a saturated layer of

solute upon a single-layered adsorbent surface, that the energy of

adsorption is constant, and that there is no transmigration of sorbates

on the sorbent surface. The Freundlich model is an empirically based

curve-fitting approach derived from the Langmuir equation. It is

widely accepted for intermediate solute concentrations where it takes

on the form:

X/M = KCf 1/n

The logarithmic form of the equation gives a straight line plot with

slope 1/n and intercept of Log K for C=1.

log X/M - log K + 1/n log Cf

in which X = Co - C f = the amount of solute adsorbed, C o = the initial

solute concentration, Cf = the final equilibrium solute concentration,

17

M = the mass of sorbate in the reactor, K and 1/n are empirical

constants. The isotherms presented in this report are plotted from the

Freundlich model equation.

Several researchers have examined the removal of organics with

adsorbents other than activated carbon [37-40]. In all cases, however,

GAG was used as a reference for comparison. Snoeyink [37] concluded

that resins are not applicable as a general adsorbent at water

treatment plants because they generally too selective. Snoeyink [41]

does however suggest that two different adsorbents in series may be

used to optimize removal rates, compensate for competitive adsorption

and improve regeneration economy.

Powdered activated carbon, PAC, is also used to remove VOCs,

THMs, and SOCs; however, the method of application is entirely

different from the use of GAC. Since PAC is commonly used for taste,

odor and color removal at water treatment plants its usefulness is

easily extended to include organic contaminants. Research into such

applications are presented by Singley et al., [42], Miller [43] and in

the American Water Works Association Research Foundation, Cooperative

Research Report [33]. McGuire et al., [44, 45] examine the

interactions among different water treatment unit processes in removing

organic contaminants. Several process unit arrangements are presented

which incorporate either PAC or GAC into the treatment scheme.

Combining Air Stripping with GAC

Since early 1980s researchers have recognized the benefits that

could be gained from utilizing a series combination of air stripping

18

with activated carbon adsorption. However, it has only been recent

studies and applications which have proven it to be an effective and

economical system.

The principal advantages of air stripping followed by GAG

adsorption are found in the ability of the system to treat waters

containing multiple contaminants having different volatilities and

adsorption characteristics. The two-stage process will provide added

operational flexibility which can be useful in meeting treatment goals

when influent concentrations change and for optimizing operating costs

such as power and carbon regeneration or replacement.

As a general rule, air stripping is most effective with

low-molecular weight, highly volatile compounds, while activated carbon

adsorption is best with high-molecular weight compounds having low

solubility. Therefore, pretreatment by air stripping will reduce the

organic load on the carbon and may remove compounds competing for

adsorption sites and reduce the problems associated with desorption.

Several references present general discussions of management and

treatment alternatives for dealing with the presence of VOCs in

groundwater supplies [46 - 48, 12, 62]. These references conclude that

some groundwater contamination problems may be adequately treated by

either GAC or air stripping alone; however, the combined processes

usually offer the best solution when multiple contaminants are

involved. The importance of pilot testing is also emphasized.

O'Brien and Stenzel [27, 49] compared the performance and costs

of two different types of air stripping equipment, a conventional

19

packed tower and an induced draft spray head stripper. They point out

that the packed tower stripper is most frequently coupled to pressure

carbon adsorbers whereas the induced draft stripper easily adapts to a

gravity flow carbon filter unit. The results of pilot testing indicate

that the induced draft stripper did not achieve as high removal rates

as the packed tower but the construction and operating costs were

lower.

Amy et al., [50] determined that air stripping followed by

activated carbon adsorption is a viable treatment method for

groundwaters containing certain VOCs and dissolved organic matter. The

study examined the removal of carbon tetrachloride (CT) and

trichloroethylene (TCE) in the presence of dissolved organic carbon

(DOC). They found that the DOC significantly reduced the adsorptive

capacity of the VOCs onto activated carbon. The study clearly

demonstrated that when air stripping is employed as a pretreatment

process, there is a substantial reduction in carbon usage (as compared

to "carbon only" treatment).

They also demonstrated that competitive adsorption is an

important consideration with respect to the activated carbon step.

Most of the competitive adsorption isotherms were based on CT or TCE

concentrations of 40 to 50 ug/L. Slightly higher adsorption capacities

were observed for high as opposed to low initial CT or TCE

concentrations.

The results of the study [50] indicate that, at the

concentrations examined, the removal of TCE will be the controlling

20

factor in the air stripping process while CT removal will control the

carbon adsorption process. They suggest that possible advantages of

coupled air stripping and activated carbon adsorption are: (1) reduced

media depth at a given A:W ratio and liquid rate or (2) the use of a

lower A:W ratio at a given media depth and liquid rate or (3) reduced

liquid rate at a given A:W ratio and media depth.

McKinnon and Dyksen [51] report on the use of GAC and air

stripping for removal of ethers and TCE from a municipal water well in

Rockaway Township, New Jersey. The initial treatment system consisted

of GAG adsorption; however, the ether compounds were achieving

breakthrough within 4 to 6 weeks. A countercurrent packed column air

stripper was added as a pretreatment step to the GAC. In July 1983,

the GAC system was taken offline because of the excellent performance

of the aeration system alone and because of diminishing contaminant

concentrations in the influent.

EPA Regulations

On February 9, 1978, the USEPA published proposed regulations

for the control of organic chemical contaminants in drinking water.

Maximum Contaminant Levels (MCLs) for THMs and VOCs and proposed

monitoring requirements for 59 organic compounds, of which more than

half were VOCs. On March 4, 1982, the EPA published the "National

Revised Primary Drinking Water Regulations, Volatile Synthetic Organic

Chemicals in Drinking Water" which set MCLs for many water contaminants

of concern. On November 13, 1985, EPA promulgated final Recommended

Maximum Contaminant Levels (RMCLs) and proposed MCLs for 8 VOCs. Also

21

proposed in the announcement were monitoring requirements for 51 other

unregulated compounds and proposed MCLs for 26 SOCs which include some

pesticides. The 1986 amendments to the Safe Drinking Water Act (SDWA)

have redefined RMCLs so that they are now known as Maximum Contaminant

Level Goals (MCLGs). In the future MCLs and MCLGs must be proposed

simultaneously and promulgated simultaneously.

July, 1987 the USEPA adopted final drinking water standards for

eight VOCs which will be enforced beginning December 31, 1988 (see

Table 1). The adopted standards are identical to the proposed MCLs set

on November 13, 1985 with the exception of vinyl chloride and 1,4

dichlorobenzene. In the case of 1,4 dichlorobenzene, the USEPA had

originally adopted an MCLG of 750 ug/1 and proposed an MCL of 750 ugh 1

based on a determination that evidence of human carcinogenicity was

inadequate. However, more recent health effects data in April 1987

prompted a change to an MCLG of zero and an MCL of 5 ug/1 based on the

chemical being classified as a probable human carcinogen. The final

MCLG of 75 ugh 1 and MCL of 75 ugh1 are based on a determination that

1,4 dichlorobenzene is a possible human carcinogen. Granular activated

carbon and aeration are designated as the Best Available Technology

(BAT) for meeting the VOC standards.

These eight new VOC standards and all future standards will

apply to non-community water suppliers as well as community systems,

and enforcement fines will be imposed for violations whether willful or

not [52].

Table 1. USEPA Standards for VOCs in Drinking Water

Chemical Final MCL(ugh)

Trichloroethylene 5

Carbon tetrachloride 5

Vinyl Chloride 2

1,2 Dichloroethane 5

Benzene 5

1,4 Dichlorobenzene 75

1,1 Dichloroethylene 7

1,1,1 Trichloroethane 200

22

23

The USEPA will establish initial MCLs for 83 contaminants over

the upcoming three-year period and thereafter MCLs for 25 new

contaminants are to be added to the list every three years.

It is apparent from the above synopsis that there has been much

progress in the regulatory arena; however, a certain amount of

confusion and uncertainty has accompanied it. Water providers and

engineers have been faced with contamination problems which demanded

immediate action; however, the regulatory standards and BAT may not

have been established. Thus many treatment systems have been designed

and implemented to achieve removals based on rather arbitrary target

effluent concentrations.

In 1974-75 the EPA sponsored an 80-city National Organics

Reconnaissance Survey (NORS) to determine the presence of

trihalomethanes (THMs), carbon tetrachloride and 1,2 dichloroethane in

U.S. drinking water supplies. Widespread occurrence of THMs were found

in water treatment plants following the chlorination stage. Very

little evidence of carbon tetrachloride and 1,2 dichloroethane were

found. Subsequently the EPA conducted the National Organics Monitoring

Survey (NOMS) on 113 community water supplies to determine the

frequency of occurrence of 23 selected VOCs, THMs and SOCs. The NOMS

survey also detected the presence of at least 63 additional organic

compounds [53, 54].

On February 9, 1978, the EPA published proposed amendments to

the National Primary Drinking Water Regulations. The regulations

included MCLs for THMs and prescribed granular activated carbon (GAC)

24

treatment for control of SOCs. Significant controversy and

deliberation surrounded the issue for the next few years [55 - 61].

Issues included skepticism of the necessity of GAC treatment,

validation of the toxicological health effects, cost of compliance,

MCLs, and other treatment or management alternatives. By the early

1980s, air stripping had emerged as an effective alternative treatment

method and GAC was gaining acceptance through research and use.

Analysis and Monitoring Techniques

Although the majority of literature regarding VOCs focuses on

treatment system design, modeling and cost effectiveness, etc.,

laboratory sample analysis is also of great significance. Trace

organics analysis has made tremendous advances in recent years in terms

of equipment and procedures. It has become increasingly easier to

classify, isolate, resolve, identify and quantify an ever-widening

array of compounds. Minimum detection limits are gradually improving

with development of new equipment and techniques. As the detection

limit moves lower it will become increasingly difficult to meet MCLs of

zero.

Trussell and Umphres [63], presented a very informative paper in

1978 which summarized the state of the art at that time. In 1981, the

American Water Works Association compiled a collection of 19 papers

dealing with analysis of organics in drinking water [64]. Stevens et

al. [65], utilized GC-FID organics profiles for evaluating treatment

processes designed for removal of VOCs and SOCs. Davenport et al.

[66], suggest the use of a continuous monitoring instrument for general

25

organics. Such a device may be particularly useful for treatment

systems utilizing activated carbon adsorption of highly-colored waters

containing SOCs or VOCs.

Case Studies

A small collection of articles concerning the occurrence and

treatment of groundwater contamination due to VOCs is represented by

references [67 - 73]. Although the majority of these articles refer to

sites located in the Eastern U.S., it is well known that significant

groundwater contamination problems also exist in numerous other places

throughout the country.

It is interesting to note the general trend of treatment

approaches which occurred. Early treatment methods typically used GAC

contactors; however, frequent and expensive carbon regeneration or

replacement soon made GAG an unaffordable method. The solution in some

instances was to add an air stripping tower for pretreatment [70].

Often the GAG could be taken offline completely because the aeration

system was so efficient. Other more recent VOC treatment systems have

simply used air stripping towers alone [68, 69].

EXPERIMENTAL PROCEDURES

The laboratory work that was required for this study consisted

of; air stripping experiments, powdered activated carbon experiments

(isotherms) and analytical testing. The compounds examined included

Carbon tetrachloride (CT), Trichloroethylene (TCE) and para (1,4)

dichlorobenzene (DCB).

Compounds Examined

Carbon tetrachloride (CC1 4 ) is an aliphatic hydrocarbon,

nonpolar, hydrophobic and quite volatile. It has been used primarily

as a solvent, dry-cleaning agent, fire extinguisher agent, grain

fumigant and machinery degreaser in the early 1900s. Current

industrial uses are in the manufacture of refrigerants

(chloro-fluorocarbons-freons). Virtually all CC1 4 involved in

dispersive uses is eventually released to the environment. It has been

estimated that approximately 3.04 million tons of CC1 4 had been emitted

to the environment as of 1975 [21]. In 1975, the National Organic

Reconnaissance Survey (NORS) found 12.5 percent of finished drinking

waters and 4.1 percent of raw waters had CC1 4 present. The occurrence

of CC1 4 in raw waters is generally attributable to covert waste

discharges or spills. Its occurrence in finished waters has also been

traced to CC1 4 contamination of chlorine used in the water treatment

process. Since 1970, carbon tetrachloride has been banned for all

26

27

use in consumer goods in the United States, and in 1978 it was banned

as an aerosol propellant.

Principal toxic effects include central nervous system

depression and cellular necrosis of the liver and kidneys. It is a

suspected mutagen and carcinogen.

Trichloroethylene (C 2HC1 3 ) (TCE) is an aliphatic hydrocarbon,

hydrophobic and moderately volatile. It is commonly considered to be

an "average" compound with respect to removal from water by air

stripping. It has been used primarily as a degreasing solvent in metal

industries and a common ingredient in household products such as spot

removers, rug cleaners, air fresheners, dry cleaning fluids,

refrigerants and inhalation anesthetics. Annual production in 1980 was

reported at 234,000 metric tons; however, stringent regulations have

resulted in its declining use. TCE is probably the most common

contaminant found in groundwater supplies due to leaking storage tanks,

industrial spills, illegal dumping or improper disposal methods.

Groundwater contamination in Tucson, Arizona has been traced to ICE

disposal practices used by aircraft manufacturers in the 1950s. The

disposal method used was considered acceptable at the time but has

proven to be environmentally unsound nearly 30 years later.

TCE is readily absorbed into the bloodstream when ingested and

its metabolites appear to have some moderate bioaccumulative properties.

The National Cancer Institute (NCI) has concluded that ICE is a liver

carcinogen in mice. Cases have been documented of liver and kidney

damage in humans due to acute and chronic exposure to high doses of TCE.

28

Para-Dichlorobenzene (C6H4C1 2 ) (1,4 DCB) is an aromatic

hydrocarbon, hydrophobic and only slightly volatile. DCB is directly

incorporated in a variety of consumer products and widely used as a

reactive intermediate for production of a number of other chemicals.

Its principal uses are as a pesticide in moth repellants,

fumicide-bactericide, odor-suppressor, high pressure lubricant, as a

component in insecticides and germicides and as a precursor in dye

manufacture. Domestic sewage, industrial effluents, spills and wastes

from insecticides, germicides and dye manufacturing are common sources

of 1,4 DCB in the environment. 1,4 DCB has been detected in various

water supplies of cities in the United States and overseas. It has

been determined that 1,4 DCB is degradable by microorganisms,

non-biological factors and sunlight.

The toxicological effects of 1,4 DCB are not well defined;

however, recent USEPA regulatory actions were based on the conclusion

that it is a possible human carcinogen.

Table 2 lists the common properties of the three compounds

studied.

Air Stripping Experiments

The air stripping experiments examined the VOC removal

capability of two different polypropylene packing media; 5/8" pall

rings and 1" tripacks. A lab scale air stripping column, including the

associated control and metering devices, was constructed. The air

stripper was a conventional countercurrent packed column with devices

to measure air and water flow rates as well as air pressure at the base

Table 2.

Parameter

Properties of Compounds Studied

Carbon- Trichloro-tetrachloride ethylene

p-Dichloro-benzene

Molecular Weightg/mol

153.8 131.5 147

Density, g/ml 1.59 1.46 1.46

Boiling Point, °C 77 87 173.4

Solubility, mg/L 800 1,100 49(@ 25°C)

Vapor Pressuremm Hg

91 74 1.0

Henry's Law 1.2 0.49 0.1Constant

Log Kow 2.72 2.29 3.39

Diffusivity (cm2/sec) 0.667 0.681 0.671

29

30

of the column. Figure 2 shows the equipment arrangement and critical

dimensions.

The basic column consisted of a plexiglass tube of five inches

inside diameter, and 72 inches length. At the base of the column was

an internal wire screen which served as a support for the packing media

and provided an inlet well for the air and an outlet sump for the

effluent water. In order to prevent channeling of the water along the

inside of the column walls, four redistribution rings were provided.

The rings were made of plexiglass, five inches outside diameter and

3-3/4 inches inside diameter. They each have a vinyl wiper on the

outside diameter to provide a tight seal against the column and a PVC

skirt on the inside diameter to prevent water from channeling along the

bottom surface of the ring and out to the column wall. The column has

four sampling ports which allow removal of water samples from the

column at the top, bottom and two intermediate depths of the packing.

The influent water was distributed on top of the packing by a PVC

nozzle that produces five small streams of liquid at an approximately

even spacial distribution.

The source of water was from the domestic supply tap in the lab

and the source of air was from the compressed air outlets also

available in the lab. Influent water flow rates were regulated with a

5/8" ball valve and measured with a Wallace and Tiernan rotameter

having a range of 0 to 3.4 gpm. Air flow was regulated with a 1/2"

corporation stop valve and measured with a specially fabricated orifice

meter having a range of 0 to 100 cfm.

LIQUID SAMPLEPORT, INFLUENT

S'I.D. PLEXIGLASCOLUMN

WATER FLOWROTAMETER 141,

PACKING MEDIA

AL-COLUMN PRESSURE

TAPPACKING SUPPORTAND AIR WELL

FROM WATERSUPPLY TAP

WATER FLOW---\CONTROL VALVE

AIR SUPPLYFROM LAS C.A.

' Affs-2.01ACONTROLVALVE

10(--LIQUID DISTRIBUTORNOZZLE

TOP OF PACKING

LIQUID REDISTRIBUTIONRING (TYPICAL)

PERISTALTICPUMP

PUMP SPEEDCONTROLLER

LIQUID SAMPLEPORT, INTERMEDIATE

IN S

STOCK SOLUTIONCONTAINER

*-LIQUID SAMPLE

' PORT, INTERMEDIATE

EFFLUENT WASTE TO DRAIN

31

BOTTOM OFPACKINGLIQUID SAMPLEPORT, EFFLUENT

Figure 2. Diagram of Air Stripping Column and

Appurtenances

32

The orifice meter (for air flow measurement) consisted of a

1-3/4 inch diameter PVC tube with a flat metal orifice plate having a

7/8" diameter orifice (see Figure 3). In order to measure the rate of

air flow, the pressure upstream and downstream (p l and p 2 ) of the

orifice plate are measured and applied to the following equation.

\/I 2g (p l - p 2 )d [ref. 77]w = qd = CYA

1 - B4

where: w - weight of discharge (pounds/second)

q - volume of discharge (cubic feet/second)

d = density of air (0.075 pounds/cubic foot)

B = ratio of throat diameter to pipe diameter

A = area of orifice opening (square feet)

C = coefficient of discharge (0.60)

Y = expansion factor (0.97)

g = gravitational acceleration (32.2 feet/second 2 )

p l = pressure upstream of orifice (pounds/square feet)

p 2= pressure downstream of orifice (pounds/square feet)

The terms C and Y were determined by additional equations in reference

[77]. To facilitate measurement of p l and p2 a differential pressure

manometer gauge was used (Dwyer Model 2002) for the range of 0 to 2

inches of water column. Beyond 2 inches water column it was necessary

to utilize a common water column manometer which would allow

measurement to more than 8 inches of water column. Figure 4 is a plot

of the relationship between p l - p2 and CFM utilizing the

above-described orifice meter and orifice flow equation.

CONCENTRIC ORIFICEORIFICEPLATE

1.70D

ORIFICEPLATE

SECTION A—A, ORIFICE PLATE

A

33

0.32' THK.

AIRFLOW

UPSTREAM PRESSURETAP, HIGH

DOWN STREAMPRESSURE TAP, LOW

21" •

e•

Figure 3. Orifice Meter Details and Dimensions

10

34

5

40

30

9— 2

cu

1.0L

a

. 4

.2

0

CFM = 1.944 V357.15 AP

il t t a t I III(10 20 30 40 50 60 70 80 90 100

Air Flow , (CFM)

Figure 4. Orifice Flow Meter, Differential Pressure vs. CFM.

35

The air pressure within the air well at the bottom of the

packing was measured by utilizing a small diameter tap through the

column wall. The pressure was measured by the differential manometer

gauge for pressures up to 2 inches water column or by the water column

manometer for pressures greater than 2 inches water column. The

measurement of column inlet pressure was coordinated with measurement

of air flow rate by means of a network of pressure tubing and five

control valves. Figures 5 and 6 show the piping schematics and the

valve positions required in order to achieve the appropriate connection

between the primary element and the respective manometer or gauge.

The solutes of concern (CT, TCE and DCB) were introduced into

the influent water stream by means of a concentrated stock feed

solution and a peristaltic pump. The stock feed solution was contained

in a 2 liter aspirator bottle with a rubber membrane interior bladder,

such that it prevented the air from contacting the surface of the stock

solution as it was being withdrawn from the bottom outlet. This helped

to minimize volatilization of the stock solution which could affect the

influent solute concentration. The peristaltic pump (Cole Parmer

7553-10) was equipped with a variable speed controller and was

calibrated at flow rates from 0.2 to 1.0 liters per hour.

Operational flexibility of the air stripper included;

1) Liquid loading rate at 0 to 3.4 gpm

2) Air loading rate 0 to 100 cfm

and 3) Stock solution feed rate 0.2 to 1.0 liters/hour.

36

H I

TYGON TUBING(TYPICAL)

3-WAY VALVE(TYPICAL)

LO 5

MAGNEHELICDIFFERENTIALPRESSUREGAUGE

COLUMN PRESSURETAP

A

WATER COLUMNMANOMETERS

BASE OF COLUMN

AIR FLOW --OP-

ORIFICE METER

Orifice Meter = Magnehelic GaugeColumn Pressure = Water Column Manometer A

Figure 5. Air Flow Meter and Column Pressure Gauges,Valve Positions A.

37

TYGON TUBING(TYPICAL)

3-WAY VALVE

HI (TYPICAL)

LO 5

MAGNEHELICDIFFERENTIALPRESSUREGAUGE

AIR FLOW ---010-

A

WATER COLUMNI /2iMANOMETERS

BASE OF COLUMN

COLUMN PRESSURETAP

ORIFICE METER

Orifice Meter = Water Column Manometer BColumn Pressure = Magnehelic Gauge

Figure 6. Air Flow Meter and Column Pressure GaugesValve Positions B.

38

Each of the two packing media were tested for the hydraulic

characteristics of air flow rate vs. liquid loading rate vs. column

pressure rise. Figures 7 and 8 illustrate the results. The pall rings

exhibited "flooding" at various loading rates; however, the tripacks

would not flood within the operational limits of the air stripper.

After determining the packing hydraulics, a specific range of loading/

flow rates was selected for the test stripping runs. A constant liquid

loading rate of 7.3 gpm/square foot and air to water ratios from 0:1 to

314:1 (cfm:cfm) were used for the pall rings. The tripacks were tested

at a liquid loading rate of 13.9 gpm/square foot and air to water

ratios from 0:1 to 205:1. The rates and ratios were selected within

the optimum hydraulic performance range of each packing media type.

Operation of the air stripping column involved the following

general procedures;

1) Connect all piping for air, water, stock feed, and metering

apparatus.

2) Prepare stock feed solution.

3) Set constant water flow rate as desired.

4) Set stock feed rate (peristaltic pump) as desired.

5) Set air flow rate as desired.

6) Allow system to operate for several minutes to reach

equilibrium.

7) Collect samples at each sample port.

8) Adjust air flow rate to next setpoint and collect additional

samples.

39

1.0

381.

4-)u- 0.8

Air Loading Rate2

(GEM / Ft )

337

0 308271 220

2 0.6

=00

0.4161 95

=o()

0.2

00 5 10 15 20 25

Liquid Loading Rate (GPM / Ft2 )

Figure 7. Column Hydraulics for Pall Rings Media.

381

Air Loading Rate

(GEM / Ft2 )

359

0

0.4

40

Liquid Loading Rate (GPM / Ft2 )

Figure 8. Column Hydraulics for Tripacks Media.

41

Powdered Activated Carbon Experiments

The activated carbon experiments consisted of a series of

"bottle point" tests to establish various adsorption isotherms for CT,

TCE and DCB. The following procedures were used; stock slurry

solutions of powdered activated carbon were prepared in the following

concentrations (mg/ml); 50, 10, 5, 0.5, and 0.1. A commercially

available carbon, Filtrasorb 400 (less than 325 mesh) as manufactured

by the Calgon Corporation was used in the isotherm experiments and is

hereafter referred to as PAC. Filtrasorb 400 is a bituminous coal-

based activated carbon. It has a BET surface area of 1,100 m 2/g, a

particle density of 0.811 g/cm3 , a pore volume of 0.7570 cm3/g and an

average pore diameter of 27.5 angstroms. The appropriate carbon

dosages for the isotherm experiments were obtained by pipetting a given

amount from the stock slurry solutions into 160 ml serum vials.

Adsorption isotherms were conducted for combined solutes (CT,

TCE and DCB) at the concentrations and sorbent doses indicated on

Tables 3, 4 and 5. Two stock solutions of combined CT, ICE and DCB

were prepared such that a 8 ul injection into each of the 160 ml serum

vials would yield the desired initial sorbate concentration. A high

solute concentration of approximately 100, 80 and 70 ugh 1 for CT, TCE

and DCB, respectively, was used for the first phase of adsorption

experiments to simulate non-airstripped water. The second phase of the

experiments used approximate concentrations of 10, 20 and 40 ugh1 for

CT, ICE and DCB, respectively, to simulate pretreated (air stripped)

water. The 160 ml serum vials containing the PAC and solutes were

Table 3. Isotherm Data for CT in Presence of

ICE and 1,4 DCB on Activated Carbon

Dose = M (mg/1) Cf (ug/1) Co - Cf = X (ug/1) X/M (mg/g)

0 7.3

1 7.3

2 5.1 2.2 1.10

5 4.9 2.4 0.48

10 4.1 3.2 0.32

20 2.2 5.1 0.26

33 1.4 5.9 0.18

0 134.0

1 131.6 2.4 2.40

2

5 120.7 13.3 2.66

10 116.9 17.1 1.71

20

33 103.8 30.2 0.92

k = .13

42

1/n = .83

43

Table 4. Isotherm Data for TCE in Presence of

CT and 1,4 DCB on Activated Carbon

Dose = M (mg/1) Cf (ugh) Co - Cf = X (ugh) X/M (mg/g)

0 13.2

1 13.2

2 10.5 2.7 1.35

5 7.9 5.3 1.06

10 4.4 8.8 0.88

20 1.7 11.5 0.58

33 1.1 12.1 0.37

0 125.4

1 121.3 4.1 4.10

2 - -

5 96.6 28.8 5.76

10 82.2 43.2 4.32

20 43.3 82.1 4.10

33 24.7 100.7 3.05

k = .40

1/n = .56

Table 5.

Dose - M (mg/1)

Isotherm Data for 1,4 DCB in Presence of

CT and TCE on Activated Carbon

Cf (ug/1) Co - Cf - X (ug/l) X/M (mg/g)

0 19.8

1 15.2 4.6 4.6

2 8.4 11.4 5.7

5 0 0 0

10 0 0 0

20 0 0 0

33 0 0 0

0 59.1

1 37.4 27.7 27.7

2

5 15.4 43.7 8.7

10 12.0 47.1 4.7

20 11.4 47.7 2.4

33 9.5 49.6 1.5

44

k = .010

l/n = 2.41

45

placed on a gyratory shaker for 24 hours at a constant laboratory

temperature of 25°C. Two bottles without any PAC were prepared in an

identical manner to serve as controls for each isotherm.

The bottles were then each placed into a centrifuge at 1,875 rpm

for a minimum of 15 minutes, causing the PAC to settle to the bottom of

the bottles. Using a gas-tight 60 ml syringe, 120 ml of centrate was

transferred to 120 ml serum vials and immediately capped with teflon

septa. It is estimated that volatilization losses due to the liquid

transfer procedure were less than 5% [40].

Analytical Testing

Analysis of the samples for the air stripping and PAC isotherms

was accomplished by conventional gas chromatography separation using a

liquid/liquid pentane extraction method. A Hewlett Packard 5790A with

a mega bore capillary column (DB-1) and an electron capture detector

(ECD) were connected to an HP 3390A reporting integrator. The

following settings were utilized for isothermal GC operation:

Injector temperature

250°C

Detector temperature

280°C

Carrier gas flow rate

58-60 ml/min

Column pressure

8-12 psi

Typical sample analysis involved a 5 ml injection (via syringe) of

pesticide-grade n-pentane (Fisher Chemical Co.) into the 120 ml serum

vial with 5 ml of solution being displaced through an outlet syringe.

The sample was then shaken for 2 minutes and a 1 ul aliquot of the

pentane phase was removed and injected into the GC. At least one

46

additional injection was also made from each sample for statistical

accuracy.

Prior to sample analysis, calibration solutions were prepared

and injected in order to establish the appropriate response factors for

quantification of chromotographic peaks. A reasonably good linear

response was obtained for the range of concentrations to be examined

for each of the subject compounds. ICE and CT samples were analyzed

separately from the DCB samples due to difficulties in establishing a

single accurate and repeatable separation method for the three

compounds. All air stripping and PAC experiments were conducted using

parallel samples for this reason. CT and ICE were analyzed at an oven

temperature of 27°C and DCB was analyzed at an oven temperature of

100°C. Sample analyses for the air stripping experiments were

conducted immediately following the stripper operation. PAC samples

were analyzed upon completion of the 24 hour contact period and

subsequent liquid transfer procedures.

RESULTS AND DISCUSSION

Air Stripping Experiments

The results of the air stripping experiments reflect only VOC

removal which occurred in the packing media itself and do not measure

or consider VOC removal due to end effects at the influent flow dis-

tributor or effluent air well of the column. Data simulation employs

the transfer unit model for analysis of media-related VOC removal.

Additionally, some comparisons of the liquid and air loading charac-

teristics between the pall rings and tripacks media are also determined.

Experiments 1 through 5 utilized pall rings with influent

concentrations for the VOCs of approximately 40 ugh1 for CT, 50 ug/1 for

TCE and 160 ugh1 for 1,4 DCB. The liquid loading rate was 1 gpm

(.136 gpm/ft 2 ) and air to water ratios ranged from 0 to 314 (vol :vol).

Experiments 6 through 9 utilized pall rings with lower influent VOC

concentrations of approximately 15 ugh1 for CT and 40 ug/1 for TCE. The

results of the 1,4 DCB are not included because of analytical problems

which yielded invalid results. The liquid loading rate was 1 gpm

(.136 gpm/ft 2 ) and air to water ratios ranged from 0 to 314 (vol:vol).

Experiments 10 through 14 utilized 1" size polypropylene tripacks with

influent concentrations for the VOCs of approximately 100 ugh1 for CT,

80 ug/1 for TCE and 70 ugh1 for 1,4 DCB. The liquid loading rate was

1.9 gpm (.259 gpm/ft 2 ) and air to water ratios ranged from 0 to 205

(vol:vol).

47

48

Although two different packing media were utilized, the test

parameters such as liquid loading, A:W and influent VOC concentrations

were not consistent thus direct comparisons of removal efficiency

cannot be made. However, valid comparison can be made with respect to

media air loading resistance, liquid and air loading limits and

relative mass transfer coefficients.

Mechanical specifications for the two packing media per the

manufacturers' literature are shown in Table 6. It is apparent that

the pall rings are a generally smaller size as evidenced by the number

of units per cubic foot. The surface area, void space and unit weight

are comparable. The greatest difference between the two is found in

the packing factors. The packing factor is generally representative of

the pressure drop characteristics for the air flow through the media.

A high packing factor indicates high air flow resistance hence higher

blower costs. The pall rings exhibited a significantly higher pressure

drop than the tripacks at all air/liquid loading rates examined. Refer

to Figures 7 and 8 for graphical plots of the column pressure vs.

liquid loading rate at various air loading rates. Note that it was

possible to achieve "flooding" at all loading rates examined for the

pall rings whereas the tripacks could not be flooded due to geometrical

and hydraulic limitations of the experimental stripping column. In

general, the tripacks media, having a lower packing factor, can handle

greater liquid and air loading rates than the pall rings.

The liquid loading rates used for each packing media were

selected based upon the results of the column hydraulics tests. It was

Table 6. Mechanical Specifications for Packing Media

TypePall Rings Tripacks

Manufacturer Norton Jaeger Tri-Packs, Inc.

Material Polypropylene Polypropylene

Nominal Size (in.) 5/8 1

Surface Area (ft 2/ft3 ) 104 85

Packing Factor (ft -1 ) 97 28

Void Space (%) 87 91

Weight (1b/ft 3 ) 7.25 6.20

Units per cubic foot 6,050 2,600

Cost ($/ft 3 ) NA 37

49

50

desired to use a liquid loading rate which would approach a flooding

condition at the highest air loading rate. This was more relevant for

the pall rings tests than it was for the tripacks; however, Figure 8

shows a pronounced column pressure rise at the highest air flow rate for

the tripacks. The liquid loading rates used are generally comparable to

those used for pilot and full-scale systems [3, 9, 13, 49].

The results of the VOC air stripping experiments are shown on

Tables 7 - 16 and Figures 9 - 48. These Tables and Figures are located

in the Appendix, Tabulations and Graphical Plots of Results of the Air

Stripping Experiments. The data has been analyzed and presented in a

number of ways;

(1) Fraction removed relative to top of packing vs. A:W (Table 8,

Figures 9 - 11, 24, 25, 34 - 36).

(2) Fraction removed per foot of packing relative to the top of

packing vs. A:W (Table 8, Figures 12 - 14, 26, 27, 37 - 39).

(3) Fraction removed per foot of packing for each increment

between sample ports vs. A:W (Table 8, Figures 15 - 17, 28, 29, 40 - 42).

(4) Liquid mass transfer coefficient relative to top of packing

vs. A:W (Table 15, Figures 18 - 20, 30, 31, 43 - 45).

(5) Liquid mass transfer coefficient for each increment between

sample ports vs. A:W (Table 16, Figures 21 - 23, 32, 33, 46 - 48).

Pall Rings - Experiments 1-5

Figures 9 - 11 show that CT achieved the highest removal of the

compounds tested at all A:W ratios. This result was consistent with the

relative volatility of the three compounds. For both CT and ICE most

51

removal occurred at A:W ratios of less than 75:1 with very little

additional removal at higher A:W ratios or packing depths greater than

four feet. The effects of increasing A:W ratios is most evident within

the first two feet of packing, showing a steady increase in removal as

A:W ratios increase for both CT and TCE. As expected, 1,4 DCB shows a

significantly lower removal rate with a leveling-out occurring at A:W

ratios of about 150:1. The effects of increasing packing depth and A:W

ratios are more evident with the 1,4 DCB samples than with CT or TCE.

Figures 12 - 14 more clearly define the effects of packing depth

and A:W on the removal rates. The CT removal is slightly better than TCE

within the first two feet of packing with almost identical removal rate

per foot at packing depths beyond four feet and A:W ratios greater than

75:1. Figures 15 - 17 show removals on an incremental basis between

sample ports. In contrast to Figures 9 - 11, all of the compounds

indicate an increase in removal per foot of packing from A:W ratios of

0:1 to 75:1 and then a gradual decline at the higher A:W ratios. Figures

18 - 20 show the calculated liquid mass transfer coefficient, KLa, rela-

tive to the top of packing, associated with each experiment sample. The

KLa for CT is expectedly higher than TCE or 1,4 DCB. There is a steep in-

crease in K La of CT and TCE for A:W ratios from 0:1 to 75:1 with a gradu-

al increase at higher A:W ratios. The KLa for 1,4 DCB is markedly lower

than CT and ICE but does show a trend similar to that of CT and ICE.

Figures 21 - 23 show the calculated liquid mass transfer

coefficient, KLa, on an incremental basis between sample ports. The

results are very erratic and do not display any identifiable trends.

52

Pall Rings - Experiments 6-9

These experiments examined CT and TCE removal at a lower

concentration range than experiments 1 through 5. Figures 24 and 25

show the fraction removed relative to the top of packing is greater for

CT than TCE at low A:W ratios but are almost identical at higher A:W

ratios. The removal levels off at A:W ratios greater than 75:1 and

packing depths greater than four feet. Figures 26 and 27 show the

fraction removed per foot of packing relative to the top of packing.

The conclusions are generally the same as for Figures 12 - 14.

Figures 28 and 29 show the fraction removed per foot of packing on an

incremental basis between sample ports. The results are generally the

same as for Figures 15 - 17.

Tripacks - Experiments 10-14

Figures 34 - 36 show that CT achieved the highest removal of the

compounds tested at all A:W ratios, as expected. For both CT and TCE

most removal occurred at A:W of less than 40:1. Progressively greater

removal of CT and TCE as A:W ratios increases within the first two feet

of packing. At greater depths the removal levels out. As anticipated,

1,4 DCB shows a significantly lower removal; however, unlike the pall

rings, there is not a leveling out within the A:W ratios tested.

Figures 37 - 39 show the fraction removed per foot of packing

relative to the top of packing. CT achieved notably higher removal

than TCE within the first two feet of packing. A leveling out of CT

and TCE removal is evident for A:W ratios greater than 39:1 and

removals are nearly equal with CT slightly above ICE for packing depths

53

of about four feet. For 1,4 DCB, the data shows a gradual increase in

removals as the A:W ratio and packing depth increase. Figures 40 - 42

show the fraction removed per foot of packing on an incremental basis

between sample ports. The results are rather erratic but all compounds

exhibit an increase in removal rate for A:W ratios from 0:1 to 39:1

with a gradual decrease as A:W ratios further increase.

Overall Comparisons - Experiments 1 - 14

Among the five different result analyses, additional variables

which may be compared are:

(1)Tripacks vs. pall rings

(2) CT vs. ICE vs. DCB removal

(3) High vs. low CT, TCE concentrations

In terms of VOC removal relative to the top of packing, the pall

rings showed consistently greater removal than the tripacks at all A:W

ratios and packing depths. Also there was a greater differential in the

amount of removal versus A:W ratio for tripacks than for pall rings at

packing depths greater than four feet. The 1,4 DCB showed significantly

greater removal with pall rings than tripacks. The pall rings exhibited

a leveling out at higher A:W ratios and packing depths whereas the tri-

packs showed a still-climbing trend. Experiments 1 through 9 established

that both CT and TCE will achieve greater removal rates at high

concentrations than at low concentrations. This is probably due to a

greater concentration gradient (driving force) for film transfer, at the

higher concentration. There is also a greater differential in removal

versus packing depth for low concentration than at high concentration.

54

The evaluation of the results for fraction removed per foot of

packing relative to the top of packing also exhibited the same results

as those described above.

In terms of the fractions of VOC removed incrementally between

sample ports, the data points were very erratic. It does appear,

however, that there is a trend which may be described as a gradual

decline in the removal per foot of packing at the higher A:W ratios.

This was generally observed for all compounds, concentrations, packing

depths and packing types.

The comparison of KLa values between pall rings and tripacks

should consider the difference of packing surface area, a, for each

packing. Pall rings has 104 ft 2/ft3 and tripacks has 85 ft 2/ft3 . Thus

the overall liquid mass transfer coefficient K L may be determined by

factoring out the surface area term, a.

The K La values relative to the top of packing (Figures 18 - 20,

30, 31, 43 - 45) presented many interesting comparisons: there is a

wider difference in the relative KLa value of all three compounds for

the tripacks than for pall rings. Experiments 1 through 9 for CT and

TCE showed that the KLa was generally lower for the low concentrations

than for high concentrations. A consistent upward trend in KLa was

observed as A:W ratio and packing depth increase for all packings,

VOCs, and concentrations. An additional observation shows that for CT,

the tripacks had a higher KLa than pall rings, for TCE, the KLa for

tripacks and pall rings were very similar and for 1,4 DCB the KLa for

pall rings was higher than tripacks. In other words, the tripacks are

55

more effective for highly volatile compounds and the pall rings are

more effective for less volatile compounds.

The KLa values on an incremental basis between sample ports

(Figures 21 - 23, 32, 33, 46 - 48) exhibited very erratic data points.

Some general trends and comparisons are evident however: CT shows a

higher KLa for tripacks than for pall rings at A:W ratios greater than

40:1.

Experiments 6 through 9 show very close KLa values for CT and

TCE (Figures 32 and 33) with a steady upward trend as A:W ratios

increase to about 225:1 and then there is a downward trend to 314:1.

Some of the other results for CT and TCE (Figures 21, 22, 46, 47) shows

similar K La declines at the highest A:W ratios.

Activated Carbon Experiments

The activated carbon experiments consisted of a series of "bottle

point" tests for combined solutes (CT, TCE and DCB) at low and high

relative concentrations. Single solute isotherms were not conducted;

however, the results of other researchers [33, 40, 42, 50] may be useful

for establishing the extent of competitive adsorption in this study.

Also the effects of dissolved organic carbon (DOC) on adsorption

capacity were not analyzed. Since the same water source was used for

all tests it is assumed that DOC was similar for all tests and its

competitive adsorption effects are constant for all tests. The DOC of

the tap water was not determined and the pH of the tap water was not

measured.

56

The results of the adsorption isotherm tests are plotted per the

Freundlich equation on Figures 49, 50, and 51 and the data values are

listed on Tables 3, 4, and 5. The results were generally as expected

with TCE being more strongly adsorbed than CT at all concentrations.

DCB, however, exhibited a very steep 1/n slope which resulted in a very

high adsorption capacity at high equilibrium concentrations and very low

capacity at low equilibrium concentrations.

o

•••, •r-

1-1

IN*

don

57

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58

50

40

100

59

Il 1 I II till I I 1 I I l I I t

-

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WO

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2 345 10 20 30 40 100

Equilibrium Concentration, Cf (ug/l)

Figure 51. Freundlich Isotherm of 1,4 DCB in Presence ofCT and ICE on Activated Carbon.

OPTIMIZATION AND ECONOMICS

The principal advantages of air stripping followed by GAC

adsorption are found in the ability of the system to treat waters

containing multiple contaminants having different volatilities and

adsorption characteristics. Using air stripping as a pretreatment step

will remove all or most of the highly volatile compounds as well as

various portions of the lesser volatile compounds thus reducing the

organic load on the activated carbon. Since the replacement or

regeneration of activated carbon is typically very expensive, it is

obviously advantageous to minimize the carbon usage rate. However, the

capital and operating costs for the air stripper must also be considered.

To determine the optimum design of an air stripper and adsorption

system there will be many variables to consider. It is likely that some

of the variables may be evaluated on a qualitative or intuitive basis

whereas others will require a more rigorous quantitative approach. For

example, the variables to consider for the air stripper include;

o packing media type, size

o media depth

o removal efficiency

o water loading rate

o air to water ratio

o temperature

60

61

o tower diameter

. pumping costs

o blower costs

and for the adsorption system;

. carbon type

. contactor type

. removal efficiency

. pumping costs

. carbon costs

A qualitative approach may be satisfactory for selecting the

packing media and the carbon type. There is generally sufficient

background information available from the manufacturer or prior

research or designs that a reasonably good choice can be made without

extensive lab or pilot tests for comparison. However, the price or

availability of certain products may result in compromises.

The next step is to determine the best combination of values for

the remaining variables based on the results of actual lab or pilot

tests using either the actual contaminated groundwater or synthesized

substitutes. It is also important to identify the range of variability

for certain parameters such as;

o influent contaminant concentrations

o influent contaminant types

o temperature

o changes in MCLs

o treated water flow rate requirements.

62

The treatment system should be designed to allow for fluctuations in

the above parameters during the effective design life. The means of

meeting the worst case treatment objectives may be accomplished by

either over-designing or by providing for easy expansion, augmentation

or operation modifications of the base design.

Many researchers have presented information on methods and

considerations for optimizing an air stripping design in general terms

[6, 9, 10, 14, 27, 49, 50]; however, Nirmalakhandan et al [9] has

recently developed a computer simulation which evaluates the effects of

changing any given design variable. The benefits include being able to

determine the optimum design values and also identifying which

variables have the most or least effect on overall treatment costs. It

is likely that his results and conclusions are valid for most air

stripping designs. Some of his conclusions are;

(1) The optimum water loading rate and air to water ratio can

be found by plotting overall cost contours for those parameters.

(2) The overall treatment cost is relatively insensitive to

modest variations of the operating variables in the vicinity of the

optimum region, but increases rapidly as conditions deviate further.

(3) Capital costs may influence overall treatment costs more

than power costs.

(4) Overall treatment cost is directly dependent on

temperature.

(5) Selection of packing media should be based on pressure loss

characteristics and KLa rather than material cost.

63

(6) Varying the air loading rate is generally the most

efficient way to adjust operating conditions to react to changes in

treatment objectives or temperature.

This study examined the following treatment system variables

with the objective of removing three organic contaminants (CT, TCE and

1,4 DCB).

o Two different packing media types and sizes were compared.

o Removal vs. media depth was examined.

o Removal vs. air to water ratio was examined.

o Both packings were analyzed for pressure drop vs. liquid

loading and air loading rates.

o The effect of influent concentration was examined.

o The effects of competitive adsorption was accounted for.

The three VOCs, carbon tetrachloride, trichloroethylene and

1,4 dichlorobenzene represent a relatively broad range in volatility

and adsorptivity. Carbon tetrachloride is the most volatile but the

least adsorbable whereas 1,4 dichlorobenzene is the least volatile and

most adsorbable. Trichloroethylene is in-between and represents a good

reference compound.

The results of the laboratory studies indicate that the

following choices should be made regarding the design variables.

(1) The tripacks media will allow for much higher liquid loading

rates and lower pressure losses than the pall rings. Although the KLa of

the tripacks is lower than the pall rings, the tripacks can still achieve

satisfactory removals with only slightly greater media depths.

64

(2) The air to water ratio should be fairly low, 39:1 or less

for tripacks media. The higher A:W ratios did not improve removals

significantly.

(3) Filtrasorb 400 is effective in adsorbing the combined

compounds to desired effluent concentrations.

(4) Since 1,4 DCB will achieve the least removal by air

stripping, it will probably be the controlling compound for the carbon

polishing step.

For this study, optimization of the design variables will be

accomplished as follows;

(1) Selection of packing media for air stripping: Use tripacks

because of lower pressure loss and greater liquid loading rate.

(2) Determine air to water ratio: The results of experiments

10 through 14 indicate that an A:W ratio of 39:1 will accomplish most

of the removal of CT and TCE and a significant portion of the 1,4 DCB.

Higher A:W ratios will not accomplish much greater removals.

(3) Determine a liquid loading rate: The tripacks media offer

a wide range of possible water loading rates. Figure 8 indicates that

at a low air loading rate, the liquid loading rate may vary

considerably with very little change in column pressure loss. For the

purposes of this study the liquid loading rate was set at 13.9 gpm/ft 2

and will be used for further design calculations so that the removal

data and KLa values will be valid.

(4) Optimize the final two design parameters which are packing

media depth and carbon usage. For the purposes of this study, the

65

treatment objective is to achieve an effluent concentration of 1 ugh 1

or less. The influent concentrations are assumed to be 40 ugh 1 for

carbon tetrachloride and trichloroethylene and 70 ugh1 for

1,4 dichlorobenzene (150 ugh1 total VOCs).

A simple mathematical approach will be applied to determine the

approximate overall cost minimum for the variables versus percent

removal. In order to present that methodology it is necessary to

establish several unit cost factors and make certain assumptions with

regard to system conditions and configurations.

Assumed unit costs are estimated as follows; carbon cost = $1.25

per pound. Air stripping tower and packing varies from $9,000 per

vertical foot at 3-feet height to $3,333 per vertical foot at 30-feet

height. Column shell is assumed to be carbon steel and 2-inch plastic

media is used. Pump costs include the pump, motor, valves, piping and

electrical equipment needed to lift the process water flow from ground

level to the top of the tower. The cost varies slightly according to

packing height, $20,000 for 3-feet height and $25,000 for 30-feet

height. Reference [2] is used as a basis of these costs. Pump

operating cost also varies as a function of the packing height. Using

an electrical power cost of $0.10 per Kwhr, the pump operating costs

will range from $2.00 per million gallons (MG) at 3-feet height to

$12.00 per MG at 30-feet height.

The capital costs associated with the tower, packing and pump

equipment have been amortized over 20 years at an annual interest rate

of 10% in order to assess the cost per MG value. Other equipment and

66

operating costs such as the air blower and carbon contactor have been

considered to be relatively constant with respect to changes in the

packing height.

A water flow rate of 700 gpm (1 MGD) is assumed for calculation

purposes. It will operate constantly and the influent contaminant

concentrations will not vary.

Figure 52 shows the packing media depths necessary to achieve up

to 99% removal by air stripping. The transfer unit model was used,

with NTU, R and KLa values as determined in laboratory experiments for

this study. Figure 53 shows estimated carbon usage that would occur

for various levels of air stripping pretreatment. The results of the

carbon adsorption isotherm experiments were used to estimate the carbon

usage requirements. The adsorption capacity, X/M value varied in

relation to the level of air stripping pretreatment. In other words,

after obtaining a given level of air stripping pretreatment

(% removal), that effluent VOC concentration then becomes the activated

carbon influent and C f concentration for which a corresponding

adsorption capacity, X/M value exists. The carbon usage, in terms of

lb/MG, were then calculated from the C f and X/M values. For CT and TCE

this relationship resulted in a gradual decline in carbon usage (lb/MG)

as the level of air stripping pretreatment increased (% removal).

However, for 1,4 DCB, the 1/n slope of the adsorption isotherm is so

steep that the carbon usage actually increases as the level of air

stripping pretreatment increases.

40—

35

30

Optimum Packing Height,11 Ft. 1,4 DCB

25

MIIMN•

1 0

CT

0 50 60

170 80 90

1

Amount Removed by Air Stripping (%)

Figure 52. Packing Depth vs. Percent Removal by Air

Stripping Pretreatment.

67

30

40

50

60

70

80

90

100

Amount Removed by Air Stripping (%)

Figure 53. Activated Carbon Use vs. Percent Removal by AirStripping Pretreatment.

68

69

The optimum design combination of air stripping and activated

carbon adsorption is determined by finding the cost minimum in terms of

dollars per million gallons treated for column height versus carbon

usage. Figure 54 shows the combined costs and the optimum design

point. For this particular combination of compounds and treatment

objectives it appears that 1,4 DCB is the controlling compound. The

cost minimum is reached at a packing height of 11 feet, a carbon usage

rate of 20 lb/MG and an overall treatment cost of $50/MG. The air

stripping pretreatment will remove greater than 99% of the CT and

greater than 98% of the ICE contaminants but only about 78% of the 1,4

DCB. Thus the activated carbon is necessary to accomplish additional

1,4 DCB removal to at least 98.6%

For comparison purposes, if all three compounds were to be

removed by air stripping alone, it would be necessary to have a packing

height of about 40 feet (1,4 DCB controls). The approximate treatment

cost would be $72/MG. However, the capital costs associated with the

carbon contacting system would have to be less the $70,000 in order for

air stripping alone to be economical. Conversely, if all three

compounds were to be removed by activated carbon adsorption alone (CT

controls), the carbon usage rates would be about 280 lb/MG or $350/MG.

The advantages of using air stripping as a pretreatment step to

activated carbon adsorption is quite apparent in this example design.

Although most of the contaminant removal will occur in the air

stripper, the carbon does allow for a more economical operating cost.

Furthermore the activated carbon step may prove to be indispensable if

1000

TCE Adsorption Cost

CT Controls

1,4 DCB Controls

Minimum Cost Point

70

CT Adsorption Cost

500

400

300

200

-c--3,e,--Overall Treatment Cost

1,4 DCB Adsorption Cost4-)

50

4-) 40

30Cd

F— 20

10

5

4

3

2

1 0 5 10 15 20 25 30 35

Packing Height (Ft.)

Figure 54. Treatment Costs vs. Packing Height, OptimumDesign Point.

100

be.n•n•

Air Stripper Cost

71

highly non-volatile compounds are present. Additionally, any

fluctuations in contaminant concentrations during the design life of

the facility will most likely be handled by adjusting the A:W ratio of

the air stripper or by increased carbon usage. These combined

processes offer a wide range of operational flexibility not available

with any single unit process.

CONCLUSIONS

It is apparent that treatment of groundwater containing multiple

contaminants may best be accomplished by a combination of air stripping

and activated carbon adsorption. In general, if the compounds are of

varying volatilities and different adsorption capacities, then the

combined treatment processes will be most economical.

The results of this study reveal that there are two controlling

compounds which define the optimization. At low packing heights (0 to

11 ft.), CT is controlling and at higher packing heights (11 to

15 ft.), DCB is controlling. Other types or combinations of VOCs may

result in only a single compound controlling the optimization.

Furthermore, in actual practice, other water constituents such as humic

substances or dissolved organic carbon would influence the adsorption

capacity of activated carbon for VOCs [50].

Although the method of optimization utilized in the study was a

simple economics problem a more detailed and comprehensive approach

could be developed by applying computer model simulation as was done by

Nirmalakhandan [9]. This would be a good direction for further

research.

72

APPENDIX

TABULATIONS AND GRAPHICAL PLOTSOF RESULTS OF THE AIR STRIPPING

EXPERIMENTS

(Includes Tables 7 through 16and Figures 9 through 48.)

73

PackingMedia

Exp#

L 9 A:W(gpm/ft') (vol:vol)

Table 7. Sample Concentrations

Carbon Tetrachloride

for VOC Experiments (ug/1)

Trichloroethylene 11_4 Dichlorobenzene0 ft. 1.92 ft. 3.92 ft. 5.67 ft. 0 ft. 1.92 ft. 3.92 ft. 5.67 ft. 0 ft. 1.92 ft. 3.92 ft. 5.67 ft.

Pall Rings 1 7.3 0 40.4 24.5 10.3 7.3 44.7 30.7 25.0 20.0 162 110 86.0

Pall Rings 2 7.3 75 41.8 7.40 1.40 0.70 60.2 15.0 2.50 1.10 170 69.0 43.1 22.7

Pall Rings 3 7.3 150 40.0 1.20 1.20 42.8 26.0 1.70 1.80 166 52.9 27.9

Pall Rings 4 7.3 224 42.7 5.40 1.20 1.00 64.1 10.0 1.40 1.30 162 57.3 45.9 36.9

Pall Rings 5 7.3 314 90.0 8.50 2.30 1.40 45.4 15.9 3.90 148 49.8 22.8

Pall Rings 6 7.3 0 14.6 9.80 6.60 5.30 38.3 32.4 25.3 22.5

Pall Rings 7 7.3 150 14.2 4.75 1.85 0.95 37.7 12.6 5.25 2.60

Pall Rings 8 7.3 224 15.0 4.75 2.15 0,75 39.0 12.4 5.80 2.30

Pall Rings 9 7.3 314 14.6 3.15 1.70 0.80 38.3 8.80 4.95 2.55

Tripacks 10 13.9 0 90.7 62.0 57.9 50.6 86.1 71.6

Tripacks 11 13.9 39 100 34.3 10.5 5.00 75.3 45.9 17.8 8.20 108 50.5 40.1 33.7

Tripacks 12 13.9 79 128 37.5 11.7 7.50 76.8 46.3 19.2 11.5 60.3 57.7 34.8 29.3

Tripacks 13 13.9 118 90.9 31.0 12.3 5.00 92.4 40.7 19.6 7.5 63.5 53.4 35.1 23.1

Tripacks 14 13.9 205 86.4 22.7 10.6 5.50 82.0 31.0 16.9 8.3 69.6 50.4 33.1 18.3

74

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PackingMedia

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0-1.92 ft. Trichloroethylene

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0-1.92 ft. 1.92-3.92 ft. 3.92-5.67 ft0-1.92 ft. 1.92-3.92 ft. 3.92-5.67 ft.

Pall Rings 1 7.3 0 39.3 58.0 29.1 31.3 18.6 20.0 32.1 __ 22.0(20.5) (29.0) (16.6) (16.3) (9.3) (11.4) (16.7) (--) (5.9)

Pall Rings 2 7.3 75 82.3 81.1 50 75.1 83.3 56.0 59.5 60.1 47.3(42.9) (40.6) (28.6) (39.1) (41.7) (32.0) (31.0) (30.1) (27.0)

Pall Rings 3 7.3 150 -- 97 0 39.3 93.5 -- 68.2 47.3 --(--) (24.4) (0) (20.5) (46.8) (--) (35.5) (23.7) (--)

Pall Rings 4 7.3 224 87.4 77.8 16.7 84.4 86.0 7.1 64.6 20.0 19.6(45.5) (38.9) (9.5) (44.0) (43.0) (4.1) (33.6) (10.0) (11.2)

Pall Rings 5 7.3 314 90.6 72.9 39.1 65.0 75.5 -- 66.3 54.2 --(47.2) (36.5) (22.3) (33.9) (37.8) (--) (34.5) (27.1)

Pall Rings 6 7.3 0 32.8 32.7 20.5 15.5 21.9 10.9 -- -- --(17.1) (16.4) (11.7) (8.1) (11.0) (6.2) (--) (--) (--)

Pall Rings 7 7.3 150 66.4 61.0 48.6 66.7 58.2 50.5 -- -- --(34.6) (30.5) (27.8) (34.7) (29.1) (28.9) (--) (--) (--)

Pall Rings 8 7.3 224 68.3 54.7 65.1 68.3 53.0 60.3 -- -- --(35.6) (27.4) (37.2) (35.6) (26.5) (34.5) (--) (--) (--)

Pall Rings 9 7.3 314 78.4 46.0 52.9 77.0 43.8 48.5 __ -- --(40.8) (23.0) . (30.2) (40.1) (21.9) (27.7) (--) (--) (--)

Tripacks 10 13.9 0 31.6 6.6 12.6 -- -- -- 16.8 -- --(16.5) (3.3) (7.2) (--) (--) (--) (8.8) (--) (--)

Tripacks 11 13.9 39 65.8 69.4 52.4 39.0 61.2 53.9 53.4 20.6 16.0(34.3) (34.7) (29.9) (20.3) (30.6) (30.8) (27.8) (10.3) (9.1)

Tripacks 12 13.9 79 70.7 68.8 35.9 39.7 58.5 40.1 4.3 7.7 15.8(36.8) (34.4) (20.5) (20.7) (29.3) (22.9) (2.2) (3.9) (9.0)

Tripacks 13 13.9 118 65.9 60.3 59.3 55.9 51.8 61.7 15.9 34.3 34.2(34.3) (30.2) (33.9) (29.1) (25.9) (35.3) (8.3) (17.2) (19.5)

Fripacks 14 13.9 205 73.7 53.3 48.1 62.2 45.5 50.9 27.6 34.3 44.7(38.4) (26.7) (27.5) (32.4) (22.8) (29.1) (14.4) (17.2) (25.5)

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