Spiral-shaped disinfection reactors
10099948 ยท 2018-10-16
Assignee
Inventors
- Noreddine Ghaffour (Thuwal, SA)
- Fariza Ait-Djoudi (Blida, DZ)
- Wahib Mohamed Naceur (Blida, DZ)
- Sofiane Soukane (Algiers, DZ)
Cpc classification
B01F2025/914
PERFORMING OPERATIONS; TRANSPORTING
B01F2025/9191
PERFORMING OPERATIONS; TRANSPORTING
B01F25/4331
PERFORMING OPERATIONS; TRANSPORTING
B01F2025/919
PERFORMING OPERATIONS; TRANSPORTING
International classification
B01J19/00
PERFORMING OPERATIONS; TRANSPORTING
C02F1/68
CHEMISTRY; METALLURGY
Abstract
This disclosure includes disinfection reactors and processes for the disinfection of water. Some disinfection reactors include a body that defines an inlet, an outlet, and a spiral flow path between the inlet and the outlet, in which the body is configured to receive water and a disinfectant at the inlet such that the water is exposed to the disinfectant as the water flows through the spiral flow path. Also disclosed are processes for disinfecting water in such disinfection reactors.
Claims
1. A disinfection reactor comprising: a body defining: a mixing chamber centrally located in the body; an inlet fluidly connected to the mixing chamber, the inlet separated from the mixing chamber by a wall, wherein the mixing chamber is fluidly connected to the inlet by fluid overflowing the wall; an outlet opening; and a spiral flow path extending between the inlet and the outlet opening; where a radius of curvature of the spiral flow path increases along the spiral flow path from the inlet to the outlet opening; and where the mixing chamber is configured to directly receive water and a disinfectant from outside the reactor, and the water and the disinfectant overflow the wall from the mixing chamber to the inlet, and the water is exposed to the disinfectant as the water flows through the spiral flow path.
2. The disinfection reactor of claim 1, where the body comprises a sidewall disposed between adjacent portions of the spiral flow path.
3. The disinfection reactor of claim 2, where: the spiral flow path has a first length extending from the inlet to the outlet opening; and the sidewall has a second length that is substantially equal to the first length.
4. The disinfection reactor of claim 1, where the spiral flow path is substantially planar.
5. The disinfection reactor of claim 1, where no portion of the spiral flow path overlies any other portion of the spiral flow path.
6. A disinfection reactor comprising: a body having a mixing chamber centrally located in the body, an inlet, an outlet, and a spiral flow path between the inlet and the outlet; the inlet is separated from the mixing chamber by a wall, wherein the mixing chamber is fluidly connected to the inlet by fluid overflowing the wall; where the mixing chamber is configured to directly receive water and a disinfectant from outside the reactor, and the water and the disinfectant overflow the wall from the mixing chamber to the inlet, and the water is exposed to the disinfectant as the water flows through the spiral flow path.
7. The disinfection reactor of claim 6, where the outlet is in the interior of the spiral.
8. The disinfection reactor of claim 6, where the inlet is in the interior of the spiral.
9. The disinfection reactor of claim 6, where at least one of the inlet and the outlet comprises a plurality of openings.
10. The disinfection reactor of claim 6, where the spiral flow path has a length extending from the inlet to the outlet, and a width that is substantially constant along the spiral flow path.
11. The disinfection reactor of claim 6, where the spiral flow path is an Archimedean spiral.
12. The disinfection reactor of claim 6, where an arc length, S, of the spiral flow path is a function of an angle, , such that
13. The disinfection reactor of claim 6, where the spiral flow path is sized such that a volume of tracer inserted at the inlet with water flowing in the spiral flow path takes a time, t.sub.10, for 10% of the tracer volume to pass the outlet and a time, t.sub.90, for 90% of the tracer volume to pass the outlet, and such that
14. The disinfection reactor of claim 6, where the inlet is coupled directly to the mixing chamber.
15. The disinfection reactor of claim 14, where the mixing chamber is configured to discharge overflow into the inlet.
16. A disinfection process comprising: introducing water and a disinfectant into an inlet of a spiral-shaped reactor, the reactor having: a body having a mixing chamber centrally located in the body, an inlet, an outlet, and a spiral flow path between the inlet and the outlet; the inlet separated from the mixing chamber by a wall, wherein water and disinfectant in the mixing chamber overflow the wall into the inlet; the body having a spiral flow path between the inlet and the outlet such that the water is exposed to the disinfectant in the spiral flow path and exits the outlet.
17. The disinfection process of claim 16, where the disinfectant comprises chlorine.
18. The disinfection process of claim 16, where flow of the water and the disinfectant introduced at the inlet has a substantially uniform exposure time in the spiral flow path across a range of flow rates.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.
(2) The following drawings illustrate by way of example and not limitation. For the sake of brevity and clarity, every feature of a given structure is not always labeled in every figure in which that structure appears. Identical reference numbers do not necessarily indicate an identical structure. Rather, the same reference number may be used to indicate a similar feature or a feature with similar functionality, as may non-identical reference numbers. The figures are drawn to scale (unless otherwise noted), meaning the sizes of the depicted elements are accurate relative to each other for at least the embodiment depicted in the figures.
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
(13)
(14)
(15)
(16)
(17)
(18)
(19)
(20)
(21)
(22)
(23)
(24)
(25)
(26)
DETAILED DESCRIPTION
(27) In some aspects, disclosed herein are water disinfection reactors that reduce the presence of recirculation regions and short-circuiting in flow through the reactors, providing for flow approximating plug flow and allowing for a consistent exposure time between water and a disinfectant flowing through the reactors over a range of flow rates. In these aspects, these reactors allow for the inactivation of microorganisms while minimizing the risk of harmful DBP production. In some aspects, these reactors comprise a body defining an inlet, an outlet, and a spiral flow path between the inlet and the outlet, where the body is configured to receive water and a disinfectant at the inlet such that the water is exposed to the disinfectant as the water flows through the spiral flow path.
(28) 1. Water Disinfection
(29) Generally, disinfection is the final step in water treatment before distribution occurs, after purifying steps such as sedimentation or filtration (Moles, 2007). This can be important, as microorganisms may be protected from disinfection by suspended solids in the drinking water. Therefore, suspended solid content (TSS) in water before disinfection should be kept to a minimum, at most about 1 milligram per liter (mg/l). Additionally, the organic matter content should be minimized at an early stage to prevent the disinfectant from overreacting with the organic matter, which may lead to reagent overdose, difficulty maintaining adequate residual disinfectant in the system, bacterial regrowth during distribution, and the creation of harmful DBPs.
(30) Disinfection is not sterilization, and small quantities of microorganisms may remain after water treatment (Cardot, 2002). This type of disinfection is referred to as passive disinfection, rather than bactericidal or active disinfection. (Moles, 2007).
(31) TABLE 1 shows the safety standards for certain pathogen concentrations in drinking water.
(32) TABLE-US-00001 TABLE 1 Safety Standards for Pathogenic Concentration in Drinking Water Pathogen Concentration Escherichia coli Absent in 100 ml Enterococci Absent in 100 ml Sulfate-reducing bacteria Absent in 100 ml Coliform bacteria Absent in 100 ml
(33) Therefore, it is also important to ensure an adequate residual chlorine content to prevent these leftover microorganisms from later re-growing to hazardous levels (Cardot, 2002).
(34) An ideal disinfectant must be available in large quantities at a reasonable price, must eliminate odors, must mix with water to form a homogenous solution, must have penetrating ability, must be safe in storage and transportation, must have a slow germicidal action to maintain residual for continued disinfection, must allow for easy measurement of its concentration in water, and must be effective at the temperatures of water consumption. An ideal disinfectant must also not be toxic to humans and must not damage metals or stain clothing (Tchobanoglous, 2002).
(35) Disinfectants are generally oxidants and operate differently depending on the microorganism being destroyed or deactivated. For example, for bacteria, the disinfectant makes the cell membrane more permeable and also covers the macromolecular nucleic acids (DNA and RNA) to prevent reproduction. For viruses, the disinfectant enters the capsid proteins and alters the macromolecular nucleic acids.
(36) More generally, the germicidal action of a disinfectant is based on the disinfectant's oxidizing ability, which is a function of pH and temperature. The effectiveness of a given disinfectant may be determined by the dose-time required to destroy or deactivate 99% of any given reference microorganism. This is indicated as a disinfectants
(37) TABLE 2 provides the characteristics for four common types of disinfectants.
(38) TABLE-US-00002 TABLE 2 Characteristics of Four Common Disinfectants Chlorine Chlorine dioxide Ozone Ultraviolet Disinfection capacity Average High High Medium-high Oxidation capacity Yes Yes Yes No Volatile action Yes A few days A few minutes No Reactive with Yes No No No ammonia By-product creation Yes Yes Yes No Contact time required Medium Medium Short Short Equipment size Small-medium Small-medium Medium-large Small-medium Equipment reliability Good Good Good Good Technological Average Average High Simple-average sophistication Enterprise security Yes Yes Moderate Minimum pH dependence Extreme No No No
(39) Therefore, it can be seen that disinfection power is often a function of the type of disinfectant, the exposure time, the temperature, the type of microorganism, the pH, and the relationship between the initial concentration of the disinfectant and the initial number of microorganisms (Ward, 1984).
(40) 2. Chlorine as a Disinfectant
(41) As mentioned above, chlorine is the most common disinfectant currently in use. Chlorine has a high electronegativity, is a member of the halogen family, and is considered one of the most powerful oxidants. Chlorine is also efficient at destroying or deactivating microorganisms, has good residual power, is easy to use, and is relatively inexpensive (Gruau, 2004). Chlorine is a gas (Cl.sub.2) at standard temperature and pressure (STP) (Moles, 2007), and TABLE 3 provides some of its properties.
(42) TABLE-US-00003 TABLE 3 Properties of Chlorine (Cl.sub.2) Molar mass 70.906 (g/mol) Physical state at 15 [C] Yellow-green gas Melting point 101.00 (C) Boiling point 34.05 (C) Critical temperature 7710.83 (C) Gas density relative to air 2491 Density at 0 [C] 3.22 (g/l) Solubility in water at 20 [C] 7.3 (g/l)
(43) While chlorine gas (Cl.sub.2) is the most common type of chlorine used for disinfection, chlorine may also be used in the form of sodium hypochlorite (NaOCl), calcium hypochlorite (Ca(CIO).sub.2), and chlorine dioxide (CIO.sub.2).
(44) Referring now the drawings, and more particularly to
(45) Chlorine may react with organic matter in water, as well as bromide and iodide ions, to form disinfection by-products (DBPs). Humic matter is a well-known source of such organic matter and is the result of the decomposition of organic material. The best-known DBP groups formed from these reactions are trihalomethanes (THM), haloacetates or haloacetic acids (AHA), haloacetonitriles, haloaldehydes, haloacetones, and halohydroxyfuranones (Mills, 1998).
(46) For example, the formation of THM DBP's can be shown in the following substitution reaction (Montiel, 1980) (where R is the organic radical):
2RCOCH.sub.3+3HClO.fwdarw.2RCOCCl.sub.3+3H.sub.20(1)
followed by hydrolysis:
RCOCCl.sub.3+H.sub.20.fwdarw.RCOOH+CHCl.sub.3(2)
(47) Formation of such DBPs increases with the organic content, bromide content, chlorine dose, exposure time, and temperature of the water, or if the pH of the water is alkaline (Baig, 2008).
(48) DBP concentration is a public health concern, and there are three primary methods of exposure to DBPs: ingestion, inhalation, and skin absorption. The first toxicological studies for animal DBP exposure were performed for THMs in the mid-1970s and for AHAs in the early 1990s (Mills, 1998) (Boorman, 1999). Since then, there have been many studies that attempt to characterize the epidemiological and toxicological properties of these compounds (Bellar, 1974) (Krasner, 2006) (Richardson, 2007). Some studies have linked exposure to DBP's with certain types of cancers such as bladder and colorectal cancer (Villaneuva, 2004) (Villaneuva, 2007). However, not much is known about the effect of DBP exposure on reproduction and child-development (Bove, 2002) (Lewis, 2006). Nearly 600 DBPs have been identified (Krasner, 2006).
(49) The World Health Organization (WHO) has established guidelines for DBP concentrations in drinking water, and these guidelines are reproduced in TABLE 4.
(50) TABLE-US-00004 TABLE 4 Maximum Allowable Concentrations of DBPs in Drinking Water Disinfection By-product Maximum Concentration Chloroform (CHCl.sub.3) 200 (mg/l) Bromodichloromethane (CHBrCl.sub.2) 60 (mg/l) Dibromochloromethane (CHBr.sub.2Cl) 100 (mg/l) Bromoform (CHBr.sub.3) 100 (mg/l) Dichloroacetic acid (CHCl.sub.2COOH) 50 (mg/l) Trichloroacetic acid (CCl.sub.3COOH) 100 (mg/l)
(51) To prevent harmful additive effects of DBPs, the WHO further specifies that:
(52)
where concentrations are in (mg/l).
(53) Chowdhury and Amy have provided the only predictive model for AHA concentration. (Chowdhury, 1999). There are multiple predicative models for THM concentrations, but the most cited is from Amy, et al. (Amy, 1998), (Yoon, 2003), which is given as:
THM.sub.(mg/l)=(10).sup.1.385(DOC).sup.1.098(Cl.sub.2).sup.0.152(Br.sup.).sup.0.068(T).sup.0.609(pH).sup.1.601(t).sup.1.263(4)
where THM is the trihalomethane content of the treated water, DOC represents the dissolved organic carbon in the water, Cl.sub.2 is the chlorine dose, Br.sup. is the bromide ion content of the water, T is the temperature of the water, pH is the pH of the water, and t is time.
(54) Such models may be useful for governments and other managers of water systems to monitor and regulate the amount of DBPs present in the water supply after treatment. (Gruau, 2004).
(55) As mentioned above, exposure time is a key factor in ensuring proper destruction or deactivation of microorganisms as well as minimizing production of DBPs. Generally stated, the goal is to provide enough exposure time to destroy or deactivate an adequate number of microorganisms without producing a harmful level of DBPs. The CT (defined as the product of the concentration of a disinfectant and the exposure time of the disinfectant with the water being disinfected) of a particular disinfectant required to sufficiently deactivate or destroy a given microorganism may be used as a design criteria for disinfection reactors (e.g., chlorination tanks)
(56) TABLE-US-00005 TABLE 5
3. Disinfection Reactor Design
(57) From the foregoing, the inventors have concluded that disinfection reactors should be designed to ensure proper mixing of a disinfectant and water, as well as an exposure time between the disinfectant and the water sufficient to achieve the CT necessary to acceptably eliminate targeted microorganisms. Nevertheless, exposure time also needs to be controlled to avoid production of harmful DBPs. Notably, the
(58) Generally, the ideal goal for a disinfection reactor is to provide for plug flow of the water and disinfectant through the reactor (Anastasios, 2008). However, flow through previously known disinfection reactors deviates from plug flow. Such deviations can be analyzed by considering factors such as residence time distribution (also known as the flow through curve (FTC)), aggregation, and mixing characteristics (e.g., of fluid flowing through the reactor) (Levenspiel, 1999). Disinfection reactors may be considered chemical reactors and thus can generally be analyzed in the same way as chemical reactors. (Stamou, 2002) (Amini, et al., 2010) (Stamou, 2008) (Stamou, 1994).
(59) The theoretical residence time for fluid flowing through a disinfection reactor is given as:
(60)
where t.sub.0 is the theoretical residence time for fluid flowing through the reactor (also known as the hydraulic contact time), V is the volume of the reactor, and Q is the flow rate of the fluid through the reactor.
(61) In an ideal plug flow reactor, the residence time for fluid flowing through the reactor is equal to the theoretical residence time (e.g., the hydraulic contact time) (Moles, 2007). Therefore, any fluid that enters a plug flow reactor will leave at a time t.sub.0 after its entry. In this way, an ideal plug flow reactor allows for precise and uniform exposure time between any water and disinfectant entering and flowing through the reactor. In precisely selecting an exposure time during reactor design, adequate disinfection can be ensured while minimizing the risk of DBP generation.
(62) However, unlike a plug flow reactor, the design of previously known disinfection reactors may allow for some volumes of fluid to exit substantially more quickly than other volumes of fluid. For these short-circuiting volumes of fluid, the exposure time between the water and the disinfectant may not be enough to ensure adequate destruction or deactivation of microorganisms. Some designs have attempted to address these issues by placing simple sidewalls (e.g., baffles) in the reactor (Stamou, 2002) (Amini, et al., 2010). These sidewalls may reduce short-circuiting, but current sidewall design can lead to recirculation regions in the flow. Recirculation regions cause some volumes of fluid to stay in the reactor for substantially longer periods of time than other volumes of fluid, and thus may result in the creation of harmful DBPs. Therefore, such changes (e.g., baffles) do not always bring the reactor behavior close enough to plug flow.
(63) The residence time for a volume of fluid, and thus the exposure time for the volume of fluid, may be tested through implementation of a straightforward procedure known as a pulse experiment. In a pulse experiment, a known volume of tracer fluid is first inserted into the inlet of a reactor. The normalized mass fraction of this tracer fluid that exits the reactor may be measured as a function of time (Moles, 2007). In equation form, this can be described as:
.sub.0.sup.Edt=1(6)
where E is the mass fraction of tracer fluid exiting the reactor at a time t. The E graph may also be known as a normalized average flow through curve (FTC) or an exit age distribution. Focusing on the FTC can be desirable, as many valuable flow characteristics can be derived from the FTC (e.g., flow short-circuiting, mixing, dispersion, efficiency, and/or the like) (Levenspiel, 1999) (Stamou, 2002) (Stamou 1994). As mentioned above, in an ideal plug flow reactor, all of the tracer fluid would exit at a time t.sub.0 (EQ. 5) after its insertion into the reactor (e.g., an ideal plug flow reactor has a Dirac delta FTC). However, in practice, a typical figure used is t.sub.10, which is the amount of time it takes for 10% of the tracer volume to exit the reactor divided (e.g., normalized) by t.sub.0. The value t.sub.10 can provide insight into the difference between the reactor and an ideal plug flow reactor (e.g., reactor efficiency). Generally, t.sub.10 varies between 0.1 and 0.2 for most basic disinfection reactors, however, t.sub.10 can be improved to about 0.5 to about 0.7 through the addition of sidewalls (e.g., baffles) (Moles, 2007). Other tracer fluid exit times may be normalized in the same way by dividing by t.sub.0 such that:
(64)
where .sub.i is the normalized time corresponding to a time, t.sub.i. Thus .sub.i can be used to represent the dimensionless time required for i % of the total tracer fluid volume to exit the disinfection reactor.
(65) In this way, .sub.0 and .sub.10 values may be indicative of flow short-circuiting. Mixing and dispersion, being directly associated with the width of the FTC, may be indicated by the difference between .sub.75 and .sub.25 as well as the difference between .sub.90 and .sub.10. The ratio between .sub.90 and .sub.10, commonly referred to as the Morril index, is an additional measure of efficiency for a given reactor and may be particularly sensitive to flow short-circuiting (Stamou 1994). .sub.50 can be used as yet another measure of efficiency. For an ideal plug flow reactor, .sub.0, .sub.10, .sub.75, .sub.50, .sub.90, and the Morril index would all be equal to 1 (Kothandaraman 1974), given the Dirac delta function nature of an ideal plug flow reactor FTC.
(66) Referring now to
(67) CFD generally involves numerically solving partial differential equations that govern complex physical phenomena. Discretization allows the transformation of the partial differential equations into a system of algebraic equations that may then be solved through standard numerical analysis techniques (Popa, 2002).
(68) GAMBIT and Fluent are commercially available programs that allow a user to produce both two and three-dimensional simulations of fluid mechanics problems (Popa, 2002). GAMBIT can first be used to produce a mesh of the geometry of the problem. In GAMBIT, a user may also define boundary conditions. The mesh is then exported to Fluent, which solves the relevant equations of motion.
(69) For the design of a reactor through CFD, the first equation that may be used is the simplified continuity equation (Bird, 2006):
(70)
where x, y, and z are Cartesian coordinates, and ,
(71) The next equations that may be used are the balanced momentum equations, given as:
(72)
where
u=+u(12)
v=
w=
where ,
(73) These equations may then be used to evaluate the efficiency of a disinfection reactor or to design a new disinfection reactor based on values such as residence time (equivalent to exposure time between the disinfectant and the water). For example, a CFD simulation can be run and improvements to the reactor (e.g., geometrical changes and/or additions) can be made until a satisfactory design is reached (e.g., a design that possesses flow characteristics sufficiently close to plug flow). To perform a pulse experiment, as described above, using a CFD model, a steady-state solution can be developed by setting the fluid mass fraction to 1 (e.g., water and disinfectant) and the tracer mass fraction to 0 at the inlet and running the simulation. Next, a transient tracer calculation can be initiated on the steady-state solution. At the initial time step of the transient tracer calculation, the fluid mass fraction can be set to 0 and the tracer mass fraction can be set to 1 at the inlet (e.g., to simulate a tracer volume of fluid being inserted into the inlet) (e.g., a pulse). After the initial time step, the fluid mass fraction can be reset to 1 and the tracer mass fraction can be reset to 0 at the inlet and the simulation can continue (e.g., through subsequent time steps). As the tracer volume exits the reactor (e.g., at each surface element of the outlet), the mass fraction of the tracer can be recorded as a function of time (e.g., for each time step), thus providing a FTC. The discrete from of the variance for such a numerical pulse experiment can be expressed as:
(74)
where w.sub.i represents the average tracer mass fraction at the reactor outlet at time step i, t.sub.i represents the time step at time step i, and n represents the total number of time steps after which tracer mass no longer appears at the reactor outlet. The variable
(75)
Assuming a constant time step t.sub.i and knowing that the total tracer mass fraction exiting the outlet over the entire simulation is equal to 1 reduces EQS. 15 and 16 to EQS. 17 and 18, respectively:
var=t.sub.i=1.sup.n(t.sub.it).sup.2w.sub.i(17)
Substituting EQ. 18 into EQ. 17 gives:
var=t.sub.i=1.sup.n(t.sub.it.sub.i=1.sup.nt.sub.iw.sub.i).sup.2w.sub.i(19)
To illustrate some of the analysis and methodology used in this disclosure as well as some benefits of the present spiral-shaped disinfection reactors, various disinfection reactors are analyzed and compared.
4. Prior Art Rectangular Disinfection Reactor
(76)
(77) The first step to create a CFD model of flow in a reactor can be to generate a mesh of the reactor geometry. The process for generating a mesh may vary somewhat based on user preference. In this analysis, however, the geometry of the base of the reactor is first created. This geometry can include the locations of sidewalls (e.g., and/or baffles). The base may then be extruded to create the overall volume.
(78) A mesh can then be generated for the reactor volume. A variety of element types and sizes are available, but it is generally important to pick an element size small enough to achieve accurate results, but large enough such that the run-time of the simulation is manageable. This may be done by sequentially reducing the size of the mesh elements and re-running the simulation until the results of the simulation become substantially independent of mesh element size. For example, an acceptable number of mesh elements can be from approximately 40,000 elements to approximately 50,000 elements.
(79) The boundary conditions for the simulation can then be set in GAMBIT to include: (1) an initial normal fluid velocity at the inlet(s), (2) a pressure condition at the outlet(s), (3) no slip between the water and disinfectant flow and the bottom and side walls of the reactor, and (4) a zero shear stress condition at the top surface (to account for any open space between the fluid and the top of the reactor, assuming that the fluid surface is stable during disinfection). To set these boundary conditions, knowing the flow rate and the inlet area, the fluid velocity at the inlet can be calculated. The flow rate may be equal to the input section times the fluid velocity, or:
m=vA(20)
where m is the flow rate, v is the fluid velocity, and A is the inlet section area. For example, for rectangular reactor 301a, the fluid velocity at the inlet can calculated as 0.55 and 0.44 meters per second (m/s) for respective flow rates of 3 and 1.5 m.sup.3/s.
(80) The completed mesh with boundary conditions may then be exported to Fluent for solving. Fluent includes many mathematical models for turbulence simulation, but for this simulation the standard k- model can be selected. The turbulent energy (represent by k) and dissipation rate (represented by ) can be assumed uniform, with values set to achieve an eddy viscosity of 90 times the viscosity of water (Stamou, 2002). An accurate solution from the Fluent solver may be shown by satisfaction of the continuity equation (EQ. 8) and convergence on all velocity components.
(81)
(82) Referring now to
(83) TABLE-US-00006 TABLE 6 Rectangular Reactor Performance at Various Flow Rates Flow rate 1.5 3.0 6.0 12.0 .sub.10 0.542 0.540 0.536 0.534 .sub.25 0.684 0.682 0.671 0.666 .sub.75 1.267 1.243 1.182 1.144 .sub.90 1.642 1.579 1.441 1.354
(84) TABLE 6 groups the dimensionless flow times obtained from each FTC. As shown, .sub.10 and .sub.25 do not vary much with flow rate. However, the change in .sub.75 and .sub.90 as flow rate increases is significant, with decreases of approximately 10% and 20% respectively for a flow rate increase from 1.5 m.sup.3/s to 12 m.sup.3/s. This may be a result of the smaller FTC spread observed for faster flows. These inefficiencies may be caused, in part, by the large recirculation regions 401 illustrated in
(85) 5. Semi-Circular Disinfection Reactor
(86) Referring now to
(87)
(88) TABLE-US-00007 TABLE 7 Semi-circular Reactor Performance at Various Flow Rates Flow rate 1.5 3.0 6.0 12.0 .sub.10 0.529 0.528 0.527 0.524 .sub.25 0.632 0.628 0.622 0.613 .sub.75 1.243 1.199 1.124 1.044 .sub.90 1.725 1.589 1.403 1.240
(89) The performance characteristics for the semi-circular reactor are similar to those shown in TABLE 6 for the rectangular reactor. As shown, .sub.10 and .sub.25 do not vary much with flow rate, and .sub.75 and .sub.90 show increases of approximately 20% and 40%, respectively, when flow rate is reduced from 12 m.sup.3/s to 1.5 m.sup.3/s.
(90) 6. Circular Disinfection Reactor
(91) Referring now to
(92)
(93) TABLE-US-00008 TABLE 8 Circular Reactor Performance at Various Flow Rates Flow rate 1.5 3.0 6.0 12.0 .sub.10 0.578 0.583 0.578 0.568 .sub.25 0.661 0.661 0.655 0.646 .sub.75 1.112 1.079 1.025 0.958 .sub.90 1.500 1.412 1.285 1.149
(94) As shown in TABLE 8, .sub.10, .sub.25, and .sub.75 vary only slightly with flow rate (which constitutes an improvement over the rectangular reactor and the semi-circular reactor). However, for .sub.90, there is an approximately 30% increase corresponding to a flow rate decrease from 12 m.sup.3/s to 1.5 m.sup.3/s, which may be a result of the increased width of the FTC at lower flow rates.
(95) 7. Spiral-shaped Disinfection Reactors
(96) As described above, smoothing of flow corners can result in improvement to flow behavior within the reactor (e.g., in general, each subsequent reactor described above has more desirable flow characteristics than each preceding reactor). Such smooth corners can result in reductions in recirculation regions and thus bring flow behavior closer to plug flow (e.g., by at least reducing flow short-circuiting). From the forgoing, the inventors conclude that an ideal design may comprise minimal corners and a lack of traditional baffles (e.g., a spiral-shaped disinfection reactor).
(97) Referring now to
(98) In the embodiment shown, spiral flow path 1303 is substantially planar. For example, in this embodiment, no portion of spiral flow path 1303 overlies any other portion of the spiral flow path. In the depicted embodiment, body 1302 comprises a sidewall 1305 disposed between adjacent portions of spiral flow path 1303. In the embodiment shown, sidewall 1305 has a length that is substantially equal to the length of spiral flow path 1303.
(99) Inlet 1304, in this embodiment, is located on the inside or in an interior region of the spiral, but, in other embodiments, may be located on the exterior or on an exterior portion of the spiral (e.g., in a location such as that of outlet 1306) and the outlet may be located in the interior of the spiral (e.g., in a location similar to that of inlet 1304). In the depicted embodiment, inlet 1304 and outlet 1306 each comprise a single opening. However, in other embodiments the inlet and/or the outlet may each comprise a plurality of openings (e.g., each of the plurality of openings lying in a plane of the inlet and/or outlet, respectively).
(100) In the embodiment shown, spiral flow path 1303 is configured such that width 1307 remains substantially constant along the length of the spiral flow path (e.g., extending from inlet 1304 to outlet 1306, as shown). However, in other embodiments, spiral flow paths (e.g., 1303) of the present spiral-shaped disinfection reactors may be configured in other separate or additional ways or to accomplish different or additional purposes. For example, in some embodiments, a spiral flow path (e.g., 1303) is configured as an Archimedean spiral. In some embodiments, an arc length (e.g., 1308) of the spiral flow path is substantially defined as a function of an angle (e.g., 1309) such that:
(101)
where S is the arc length, is the angle, and a is a constant indicative of the distance between adjacent spiral arms (Weisstein). In these and similar embodiments, a width (e.g., 1307) of the flow path may be set by adjusting the constant a. For example, a flow path width (e.g., 1307) (e.g., a distance between adjacent spiral arms) can be set to match a channel width of a traditional reactor (e.g., 16 m, such as, for example, in the rectangular reactor of
(102) In some embodiments, such as the one shown, spiral flow path 1303 is configured to reduce recirculation regions in the flow of water and disinfectant through the flow path.
(103) In some embodiments, such as reactor 1301 shown in
(104) In some embodiments, flow rate and spiral path geometry may be configured to inactivate as many microorganisms as possible without forming harmful by-products. For example, the geometry may be configured to reduce recirculation regions in the flow, to encourage flow approximating plug flow, or to avoid flow short-circuiting in order to provide a consistent exposure time between the water and disinfectant in the flow path (e.g. the embodiment shown in
(105)
(106) TABLE-US-00009 TABLE 9 Spiral-shaped Reactor Performance at Various Flow Rates Flow rate 1.5 3.0 6.0 12.0 .sub.10 0.875 0.869 0.859 0.849 .sub.25 0.900 0.896 0.890 0.882 .sub.75 0.960 0.961 0.959 0.904 .sub.90 0.986 0.986 0.983 0.953
(107) As shown in TABLE 9, each dimensionless time (e.g., .sub.10, .sub.25, .sub.75, and .sub.90) remains substantially independent of flow rate, even for the highest flow rate shown of 12.0 m.sup.3/s, and each value indicates encouragement of plug flow (e.g., a value of 1). These values may be indicative of the substantial reduction and/or elimination of recirculation regions in the reactor (e.g., and a corresponding reduction and/or elimination of flow short-circuiting). In approximating plug flow, this embodiment of the present spiral-shaped reactors is able to help ensure adequate disinfection of water, while minimizing harmful DBP production.
(108)
(109)
(110)
(111)
(112)
(113)
(114) 8. Spiral-Shaped Disinfection Reactor Size Reduction
(115) Smaller reactors may be desirable, particularly in areas where land is expensive. In order to further illustrate the advantages of the present spiral-shaped disinfection reactors, size reduction can be considered. For example, and as shown above, the present spiral-shaped disinfection reactors exhibit flow behavior that approximates plug flow. To illustrate, even at the highest flow rate tested of 12 m.sup.3/s, tracer fluid within spiral shaped reactor 1301 stayed group, and the tracer peak appeared at approximately 60 minutes (e.g., as shown in
(116) TABLE-US-00010 TABLE 10 Reactor Performance of Spiral-shaped and Rectangular Reactors after 50% Size Reduction Spiral-shaped Criterion Reactor Rectangular Reactor Plug Flow Reactor .sub.75/.sub.25 0.086 (0.065) 0.461 (0.561) 0 .sub.90-.sub.10 0.161 (0.117) 0.816 (1.039) 0 .sub.90/.sub.10 1.19 (1.135) 2.42 (2.924) 1 .sub.50 0.921 (0.929) 0.921 (0.923) 1 Variance 0.047 (0.01) 0.155 (0.203) 0
(117) Values in parentheses in TABLE 10 indicate values corresponding to full-size reactors (e.g., rectangular reactor 301a and spiral-shaped reactor 1301, described above), and values without parentheses correspond to reduced-size reactors (e.g., after a 50% size reduction). As shown, reduced size spiral-shaped reactor 1301a exhibits better flow characteristics (e.g., closer to plug flow) than even full-size rectangular reactor 301a for values of .sub.75.sub.25, .sub.90.sub.10, .sub.90/.sub.10, and variance, and shows a nearly identical .sub.50 value. Thus, some embodiments of the present spiral-shaped disinfection reactors can be configured to replace existing disinfection reactors, where the spiral-shaped disinfection reactors are smaller (e.g., by physical dimension), without regard to maintaining total working water volume.
(118) The above specification and examples provide a complete description of the structure and use of illustrative embodiments. Although certain embodiments have been described above with a certain degree of particularity, or with reference to one or more individual embodiments, those skilled in the art could make numerous alterations to the disclosed embodiments without departing from the scope of this invention. As such, the various illustrative embodiments of the devices are not intended to be limited to the particular forms disclosed. Rather, they include all modifications and alternatives falling within the scope of the claims, and embodiments other than the one shown may include some or all of the features of the depicted embodiment. For example, components may be omitted or combined as a unitary structure, and/or connections may be substituted. Further, where appropriate, aspects of any of the examples described above may be combined with aspects of any of the other examples described to form further examples having comparable or different properties and addressing the same or different problems. Similarly, it will be understood that the benefits and advantages described above may relate to one embodiment or may relate to several embodiments. The claims are not intended to include, and should not be interpreted to include, means-plus- or step-plus-function limitations, unless such a limitation is explicitly recited in a given claim using the phrase(s) means for or step for, respectively.
REFERENCES
(119) These references, to the extent that they provide exemplary procedural or other details supplementary to those set forth herein, are specifically incorporated herein by reference. R. Amini, R. Taghipour, H. Mirgolbabaei, Numerical assessment of hydrodynamic characteristics in chlorine contact tank, International Journal for Numerical Methods in Fluids, 67 (2010) 885-98. Amy, et al., American Water Works Association. 79:89-97, 1998. Anastasios, Chemical Engineering and Processing. 47:1179-1189, 2008. Baig, et al., Technical Engineer. 2008. Bellar, et al., Journal of the American Water Work Association. 66:703, 1974. Bird, et al., Transport Phenomena, 2.sup.nd ed., John Wiley & Sons, 2006. Boorman, et al., Environmental Health Perspectives. 107:207-217, 1999. Bove, et al., Environ Health Perspect. 61-74, 2002. Cardot, Physico-chemical and Biological Processes, 2002. Carlier, General and Applied Hydraulics, EYROLLES, 1980. Chang, et al., Toxicological Environmental Chemistry. 56:211-225, 1996. Chowdhury, American Water Works Association. 53-64, 1999. Chowdhury, et al., Science of the Total Environment. 407:4189-4206, 2009. R. A. Falconer, A. I. B. M. Ismail, Numerical Modeling of Tracer Transport in a Contact Tank, Environment International, 23 (1997) 763-73. R. A. Falconer, S. Liu, Modeling Solute Transport Using QUICK Scheme, Journal of Environmental Engineering, 114 (1988) 3-20. D. Fidaros, C. Baxevanou, A. Zagoritis, P. E. Mpiska, N. Vlachos, Numerical Simulation of Flow and Transport Phenomena in an Urban Wastewater Chlorination Tank, in: 10.sup.th International Conference on Environmental Science and Technology, Kos Island, Greece, 2007 pp. A371-A78. Gruau, in 2004. V. Kothandaraman, R. L. Evans, Design and Performance of Chlorine Contact Tanks, in: Illinois State Water Survey, Urbana, 1974. Krasner, et al., Environmental Science and Technology. 40:7175-7185, 2006. Lekkas & Nikolaou, Water Quality Research Journal of Canada. 39:149-159, 2004. O. Levenspiel, Chemical Reaction Engineering, Third ed., John Wiley and Sons, 1999. Lewis, et al., American Journal of Epidemiology. 163:38-47, 2006. Maux & Simonart, Microbiological Water Monitoring, Technical Engineer. 2010. Mills, et al., in Health Canada, 1998. Moles, Water Distribution. Disinfection Techniques Engineering. 2007. Montiel, The Halomethanes in WaterTraining and Disposal, Paris, 1980. Oliver & Lawrence, American Water Works Association, 71:161-163, 1979. Pontius, Water Quality and Treatment, 4th ed, New York, 1990. Popa, Numerical Modeling of Heat Transfer (Finite volume method), 2002. Rathbun, Science of the Total Environment. 180:125-135, 1996. Rathbun, Science of the Total Environment. 191:235-244, 1996. Richardson, et al., Mutation Research. 636:178-242, 2007. Rodriguez, et al., Journal of Water Supply: Research and Technology. 49:57-73, 2000. Semerjian, et al., Environmental Monitoring and Assessment. 149:429-436, 2008. Serodes, et al., Chemosphere. 51:253-263, 2003. A. I. Stamou, Improving the hydraulic efficiency of water process tanks using CFD models, Chemical Engineering and Processing: Process Intensification, 47 (2008) 1179-89. A. I. Stamou, Verification and application of a mathematical model for the assessment of the effect of guiding walls on the hydraulic efficiency of chlorination tanks, Journal of Hydroinformatics, 4 (2002) 245-54. A. I. Stamou, G. Noutsopoulos, Evaluating the effect of inlet arrangement in settling tanks using the hydraulic efficiency diagram, Water SA, 20 (1994) 77-84. Tchobanoglous, et al., Wastewater Engineering, Treatment and Reuse, New York, 2002. Uyak & Toroz, Desalination. 176:127-141, 2005. Villanueva et al., Epidemiology 15(3):357-367, 2004. Villanueva, et al., Am J Epidemiol. 2007. H. Wang, R. A. Falconer, Simulating disinfection processes in chlorine contact tanks using various turbulence models and high-order accurate difference schemes, Water Research, 32 (1998) 1529-43. Ward, et al., Applied and environmental. Microbiology. 48:508-514, 1984. E. W. Weisstein, Archimedes' Spiral. From MathWorldA Wolfram Web Resource. in. WHO, 1:117-126, 1994. WHO, 2:913-949, 1994. Yoon, et al., Science of the Total Environment. 30:157-156, 2003. Zhang, et al., Journal of Hydroinformatics, 02:123-132, 2000.