Accepted Manuscript Title: Ammonia removal from ammonia-rich wastewater by air stripping using a rotating packed bed Author: Min-Hao Yuan Yi-Hung Chen Jhih-Ying Tsai Ching-Yuan Chang PII: DOI: Reference:
S0957-5820(16)30107-0 http://dx.doi.org/doi:10.1016/j.psep.2016.06.021 PSEP 809
To appear in:
Process Safety and Environment Protection
Received date: Revised date: Accepted date:
27-2-2016 22-4-2016 11-6-2016
Please cite this article as: Yuan, M.-H., Chen, Y.-H., Tsai, J.-Y., Chang, C.Y.,Ammonia removal from ammonia-rich wastewater by air stripping using a rotating packed bed, Process Safety and Environment Protection (2016), http://dx.doi.org/10.1016/j.psep.2016.06.021 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Graphical Abstract
Clear Air
Continuous inflow of Ammonia-rich Wastewater
Neutralizer of Stripping Ammonia T
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Continuous Supply of Fresh Air
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Clear Effluent
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Rotating Packed Bed
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Highlights
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A continuous-flow rotating packed bed (RPB) was evaluated for ammonia stripping.
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The RPB holds the advantages of small size and short retention time for ammonia stripping.
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The roles of air and liquid flow rate in mass transfer and stripping efficiencies of RPB were
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examined.
The continuous-flow RPB is a promising alternative stripping process for ammonia rich wastewater.
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Ammonia removal from ammonia-rich wastewater
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by air stripping using a rotating packed bed
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Min-Hao Yuan,a Yi-Hung Chen,a,* Jhih-Ying Tsaia and Ching-Yuan Changb,c
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a
Department of Chemical Engineering and Biotechnology, National Taipei University of
b
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Taiwan c
Department of Chemical Engineering, National Taiwan University, Taipei 106, Taiwan
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Graduate Institute of Environmental Engineering, National Taiwan University, Taipei 106,
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Technology, Taipei 106, Taiwan
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*Corresponding Author. Tel.: +886 2 27712171 ext. 2539; fax: +886 2 87724328.
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E-mail:
[email protected] (Y.H. Chen)
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KEYWORDS
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Air stripping; ammonia removal; rotating packed bed; continuous flow; mass transfer coefficient
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ABSTRACT
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Air stripping of ammonia from an ammonia-rich stream (1000 mg/L) was performed in a
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continuous-flow rotating packed bed (RPB) at temperatures from 25 to 40 °C. The effects of the
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major operating variables (rotational speed (ω), liquid flow rate (QL), gas flow rate (QG), and
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stripping temperature (T)) on the volumetric liquid mass-transfer coefficient (KLa) and stripping
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efficiency (η) were elucidated. The results indicate that the RPB exhibits higher mass-transfer
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performance (12.3–18.4 1/h) compared with those of stripping tanks, packed towers, and other
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advanced gas–liquid contactors (0.42–1.2 1/h). At QL = 0.05 L/min, QG/QL = 1600, and ω = 1200
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rpm, η values for the RPB at 30 and 40 °C respectively reached 69% and 81% within 13.3 s. In
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contrast, conventional ammonia stripping processes with liquid recirculation in larger towers
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usually take hours to achieve the same values. The proposed dimensionless models describe the
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relationship between KLa and the major parameters for ammonia stripping in the RPB. KLa
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showed the greatest increase with increasing QG followed by the increase in QL, ω, and T.
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However, the operating conditions that would make the technology economically viable and the
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optimal conditions for efficient ammonia removal must be further studied.
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1. Introduction
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The removal of ammonia from ammonia-rich streams has gained increasing attention in recent
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years because of the more stringent discharge limits for ammonium nitrogen (NH3-N) that have
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been steadily imposed on wastewater treatment plants (WWTPs) worldwide. A substantial 4
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amount of NH3-N released into bodies of water may cause several problems such as toxicity to
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sensitive aquatic biota, oxygen depletion, and eutrophication (Camargo et al., 2005; Ding et al.,
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2014; Rabalais, 2002; Xiao et al., 2015). For these reasons, the US Environmental Protection
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Agency updated national recommended criteria for water quality for NH3-N discharge (USEPA,
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2013a). In addition, the Chinese government set out a goal of 10% reduction in total NH3-N in
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the 12th Five-Year Plan (China MEP, 2012). In 2014, the Taiwan Environmental Protection
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Administration implemented new restrictions on NH3-N discharge, specifying different
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maximum values and grace periods for petrochemical, semiconductor, and optoelectronic
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industries, as well as for science parks that discharge ammonia wastewater (Taiwan EPA, 2014).
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There is thus an urgent need for improvement of treatment of wastewater containing ammonia by
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removal or conversion of ammonia into a more stable and fixed form.
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The treatment of high-strength ammonia wastewater in typical WWTPs or biological
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processing is often challenging. NH3-N levels in excess of allowable limits in raw water result in
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an increase in oxygen demand and interfere with the chlorination and manganese filtration
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processes, thus impairing the performance of typical WWTPs (Hasan et al., 2011 and 2013).
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These problems have caused shutdowns of WWTPs, leading to a shortage of domestic water in a
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certain region of Malaysia (Hasan et al., 2011). Biological processing that combines nitrification
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and denitrification is the conventional method for ammonia wastewater treatment (Ioannou et al.,
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2015; Sun et al., 2015; Zhao et al., 1999). However, it requires a relatively long retention time
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and large spatial requirements compared with those of other methods, making its implementation
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difficult in existing enterprises that have space limitations (Zhao et al., 1999). Moreover, this
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technology is sensitive to shock, toxic loads, and cold weather conditions, and it does not allow
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for the recovery of ammonia.
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Ammonia recovery from ammonia-rich wastewater is preferable, as ammonia can be used to
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produce fertilizer for agricultural use and is thus an additional revenue source for WWTP
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operators (Zhao et al., 1999). In practice, ammonia can be recovered by ion exchange (Jorgensen
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and Weatherley, 2003), struvite precipitation (Liu et al., 2013), and air stripping (Basakcilardan-
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Kabakci et al., 2007; Chang et al., 2013; Cheung et al., 1997; Deĝermenci et al., 2012; Jiang et
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al., 2014; Kutzer et al., 1995; Laureni et al., 2013; Le et al., 2006; Liu et al., 2015; Zeng et al.,
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2006; Zhang and Jahng, 2010). Among these techniques, ion exchange requires an extremely low
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concentration of solids in the effluent to prevent fouling. Struvite precipitation occurs at
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equimolecular concentrations of Mg2+, NH4+, and PO43− under slightly alkaline conditions.
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Hence, the addition of a source of Mg2+ or PO43− salts is essential to optimize the struvite
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crystallization process when wastewater contains less magnesium and phosphate as compared
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with nitrogen. The final technique, air stripping, is a physical process for ammonia recovery,
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tolerating some degree of solids and requiring mainly temperature and pH controls. As long as
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the air temperature and pH remain stable, the operation of ammonia stripping is relatively simple
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and is unaffected by wastewater fluctuation and toxic loads. However, the lime used for raising
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the pH of the effluent to 10.8–11.5 often results in unwanted fouling in the packed beds due to
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calcium carbonate deposition (Kutzer et al., 1995; Liu et al., 2015).
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The air stripping process has been successfully implemented to remove ammonia from
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different ammonia-rich streams, e.g., pig slurry (Laureni et al., 2013; Zhang and Jahng, 2010),
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cattle and fermented chicken manure (Jiang et al., 2014; Zeng et al., 2006), human urine
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(Basakcilardan-Kabakci et al., 2007; Le et al., 2006), landfill leachate (Cheung et al., 1997), and
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sour water from oil refineries (Chang et al., 2013). The process involves two packed towers for
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transferring volatile ammonia from wastewater into a gas phase and then converting the
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ammonia gas with an acid solution to give stable ammonium salts for use as mineral fertilizer.
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However, the common packed depth of each tower is about 6.1–7.6 m (USEPA, 2013b), which
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poses a challenge to existing treatment plants that expanding capacity is not feasible due to space
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limitations. Therefore, efforts to improve the design and miniaturization of ammonia stripping,
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e.g., the use of jet loops (Deĝermenci et al., 2012) and aerocyclone reactors (Quan et al., 2009),
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are underway.
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Previous studies on the absorption of CO2 (Jassim et al., 2007; Pan et al., 2013 and 2015) and
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volatile organic compounds (VOCs) (Chen and Liu, 2002; Lin et al., 2003 and 2006), distillation
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(Kellehe and Fair, 1996; Lin et al., 2002), VOC stripping (Gudena et al., 2012; Lin et al., 2004;
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Liu et al., 1996; Singh et al., 1992), ozonation (Chen et al., 2004), and esterification (Chen et al.,
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2010) in a rotating packed bed (RPB) have remarkable potential to reduce the size of the packed
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tower. This potential is due to the intensified mass transfer at the gas–liquid interface generated
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in a RPB via high centrifugal force. The high centrifugal force (300–10000 m/s2) is usually 1–3
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orders of magnitude greater than gravitational acceleration (Rao et al., 2004). An RPB using
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basic oxygen furnace (BOF) slag can remove approximately 96–99% of the CO2 in flue gas
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stream with 30% CO2 within a short reaction time (1 min) at 25 °C and 1 atm (Pan et al., 2013).
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The conventional stripper height necessary to achieve a performance similar to that of a RPB for
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CO2 absorption is greater by a factor of 8.4, while the diameter is greater by a factor of 11.3
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(Jassim et al., 2007). Hence, the results suggest a significant reduction in equipment size and
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space with use of the RPB. Trichloroethylene (TCE) removal from groundwater at low gas/liquid
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ratios, a preferred outcome that is difficult to obtain in conventional packed beds, has been
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clearly enhanced by air stripping by a RPB (Gudena et al., 2012). Moreover, the total capital cost
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of the RPB can be significantly reduced according to the estimate for TCE stripping. In
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summary, the unique features of the RPB, such as high volumetric gas–liquid mass-transfer
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coefficients (KLa), reduced tendency for fouling, and reduced equipment size and cost, can
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potentially alleviate the limitations associated with conventional ammonia stripping. Although ammonia stripping is technically feasible for the removal of ammonia from various
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ammonia-rich streams, there is still an urgent need for a reduction in equipment size and space
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for its implementation in existing enterprises due to the more stringent discharge limits for NH3-
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N in wastewater. Yuan et al. (2016) had showed that the remarkable removal efficiencies and
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small height of transfer units for the ammonia stripping were obtained from both laboratory and
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pilot scale RPB systems at ambient temperature. This study follows up with the previous work
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and shows the effects of temperature for ammonia stripping in a high-voidage RPB system. The
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evaluation of various operating conditions should identify the critical factors that affect the KLa
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values and stripping efficiency (η). High-voidage packing of stainless steel wire mesh was used
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to provide a low pressure drop and to reduce the tendency for fouling (Lin et al., 2004). Effects
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of the major operating variables (rotational speed (ω), liquid flow rate (QL), the ratio of flow rate
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of air (QG) to QL, and temperature (T)) on KLa and η values were investigated and elucidated.
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Dimensionless equations are proposed to predict KLa and η values for ammonia stripping. These
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results provide useful information for the practical design of ammonia stripping using RPBs at
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various operating conditions.
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2. Materials and methods
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2.1. Apparatus and operating conditions
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A schematic diagram of ammonia stripping using the RPB is shown in Fig. 1. The system
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consists of the RPB, gas and liquid feed controls, analyzer of effluents, and neutralizer of
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effluent gas. The inner radius (ri), outer radius (r0), and axial height (zB) of the packed-bed
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rotator were 0.0355, 0.0850, and 0.0215 m, respectively. The thickness of the RPB shell and the
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distance from the side of RPB to the shell were 0.008 and 0.011 m, respectively. The reactor
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volume (VB) of the RPB was 410−4 m3. It was used as an estimate of the volume of the packed-
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bed rotator, π(r02 − ri2)zB. The bed rotation was controlled by a motor, and ω was varied from 300
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to 1200 rpm. This resulted in a centrifugal force equivalent to 6.25 to 100 gravitational
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acceleration. The packing material was made of grade 304 stainless-steel wires in the shape of
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annular rings, which comprise interconnected wires with a mean diameter of 0.22 mm. Stainless
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steel has critical surface tension higher than that of glass, ceramic, and acrylic, thus facilitating
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gas-liquid mass transfer in the RPB (Chen et al., 2006). High-voidage packing (0.954 m3/m3) of
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the wire mesh was used to lower the pressure drop and to reduce the tendency for fouling (Singh
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et al., 1992).
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Aqueous ammonia was pumped into the RPB at a controlled feed rate after the solution
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concentration was adjusted to 1000 mg/L with ammonium chloride (99%, Jin Yih Chemical Co.,
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Ltd., Taipei, Taiwan) and distilled water, and the pH value was adjusted to 11 with sodium
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hydroxide solution (45%, Jin Yih Chemical Co., Ltd., Taipei, Taiwan). The ammonia in the RPB
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was then evaporated rapidly through acceleration by centrifugal force and by mixing with air
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flow to achieve a high η value.
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For the experiments, a diaphragm liquid pump (KNF 1.300 TT 18S, KNF, Sursee,
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Switzerland) was used to constantly introduce ammonia solution into the housing at a QL of
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0.025–0.1 L/min. An air compressor (DT-175-2C, Tong Cheng Iron Works Co., Ltd., Taipei,
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Taiwan) and an air flow meter (Dwyer Instruments Inc., Michigan City, IN, USA) were used to
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control QG to within 30–60 L/min. The QG/QL ratio was set between 750 and 1800. The
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temperatures of the solution and the RPB with the ammonia solution were set to 25, 30, and 40
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°C, by using a hot plate and magnetic stirrer (C-MAG HS7 S1, IKA Lab Equipment, Staufen,
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Germany). Similarly, Teflon heating tape (Kwo-Yi Co., Taipei, Taiwan) was used for the RPB
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housing and type-K thermocouples (TES-1306, TES Electrical Electronic Corp., Taipei,
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Taiwan).
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The ammonia concentrations of the inlet and outlet solutions were determined by using an ion-
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selective electrode (HI4101, Hanna Instruments, Woonsocket, RI, USA). A pH meter (HI1131B,
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Hanna Instruments, Woonsocket, RI, USA) was used to measure the pH value of the ammonia
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solution. To neutralize the effluent gas, the vaporized or purged ammonia gas was introduced
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into a sulfuric acid solution and converted to ammonium sulfate (Sigma-Aldrich, St. Louis, MO,
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USA) before it was expelled as exhaust. For each reaction condition, more than 15 min of
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operation was allowed for the system to reach a steady state prior to assessment.
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2.3. Theoretical considerations
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In this study, η and overall KLa values were used to assess the performance of the RPB for
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ammonia stripping. The η value was computed from the ammonia concentration in the feed
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(CL,in) and effluent (CL,out) liquid streams.
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C 1 L ,out C L ,in
100%
(1)
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In the centrifugal vapor–liquid contactor, KLa was calculated from mass-balance concepts and
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from the two-film theory by Singh (1989), Singh et al. (1992), and Chen et al. (2005a and 2005b).
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The mass-balance equation for a thin annulus section within the RPB at steady state is as
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follows:
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(2)
The concentration at gas-liquid equilibrium (CL*) is assumed to follow Henry’s law: C*L
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Q L dC L K L a C*L C L 2rz Bdr
CG HC
(3)
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where HC is the dimensionless Henry constant for ammonia. HC values are given in Table 1.
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According to the two-film theory, the variable gas-phase concentration is expressed as
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(4)
1 C 1 ln 1 L ,in Q S C L ,out S K La L 1 VB 1 S
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Solving Eqs. 2–4 simultaneously gives the following equation for computing KLa:
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QL C L CL,in QG
(5)
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where S is the stripping factor and VB is the reactor volume of the RPB:
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QG QL
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S HC
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VB r02 ri2 z B
(6)
(7)
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VB is approximately 410−4 m3. Notably, the overall liquid-to-gas mass transfer consists of
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resistances associated with the stagnant liquid and gas interfacial films. Therefore, the resistances
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of both the liquid and the gas films have been taken into consideration in the calculation of KLa.
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On the basis of KLa, prediction of η using Eq. 1 may be modified further as follows:
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(8)
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1 1 S 100% 1 VB 1 1 1 exp K L a Q L S S
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3.1. The effects of ω and T
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Fig. 2 shows the dependence of KLa and η on ω and T under operation at QL = 0.05 L/min and
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QG/QL = 1200. As seen in Fig. 2a, KLa increased as ω increased from 300 to 1200 rpm. The KLa
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value was 0.00257 1/s at ω = 1200 rpm and T = 25 °C, which is 1.5 times higher than that at ω =
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300 rpm (0.00167 1/s). According to the two-film model, the resistance to transfer in each phase
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is localized in the thin films at the interface. Packing in the RPB via centrifugal force under high
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ω facilitates division of the ammonia solution into smaller droplets and thinner films. The
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consequent lower resistance at the stagnant liquid film results in a higher KLa value. KLa values
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were 0.00257, 0.00326, and 0.00404 1/s at ω = 1200 rpm at T values of 25, 30, and 40 °C,
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respectively. The observed dependence of KLa on T is predicted by the increase in Henry’s law
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constants for ammonia with T (25–40 °C in this case), which caused more ammonia to evaporate
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easily into the gas phase.
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As shown in Fig. 2b, the increase in ω and T in terms of η also enhanced ammonia removal.
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According to the theory, a higher η is obtained by increasing KLa at the same stripping time. The
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stripping time is the liquid hydraulic retention time (tL = VL/QL or LVB/QL) in the RPB, where
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VL and L are the liquid hold-up and relative liquid hold-up, respectively (Chen et al., 2004). In
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the experimental conditions in the present study, t L ranged from 11 to 20 s, as determined by the
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calculation of L (0.03–0.06) based on the empirical equation proposed by Chen et al. (2004). At 12
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QL = 0.05 L/min, QG/QL = 1600, and ω =1200 rpm, only 13.3 s was required to achieve 69% and
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81% of η in the RPB at 30 and 40 °C, respectively. Table 2 lists conventional and advanced processes for stripping ammonia from wastewater
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according to their reaction conditions and performance (Basakcilardan-Kabakci et al., 2007;
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Deĝermenci et al., 2012; Le et al., 2006; Quan et al., 2009). In contrast to the other processes, the
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continuous-flow RPB does not require liquid recirculation to extend the stripping time in order to
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achieve the desired η value. As seen in Table 2, mass transfer (0.00342–0.00510 1/s or 12.3–18.4
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1/h) was high and had a very short stripping time as compared with other stripping processes
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such as those in the stirrer tank, packed tower, jet loop, and aerocyclone reactors. These
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processes often take hours and liquid recirculation to achieve a similar level of η value.
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It is noted that the longer stripping time was required since the single-stage RPB did not
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achieve the discharge standards (e.g. 20 mg/L-NH3-N) for wastewater with high ammonia
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concentration (as this study of 1000 mg/L). Hence, a large size of RPB or a series configuration
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of continuous-flow RPB was suggested for the on-site application. On the basis of current
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experimental results, the effluent concentration of NH3 can be reduced from 1000 mg/L to 16.8
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mg/L at 25 °C by a series of four-stage RPB and to 6.8 mg/L at 40 °C by a series of three-stage
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RPB. Consequently, the stripping time for the satisfied effluent concentration was three to four
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times of the single one, which was smaller than the required time with other stripping processes
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by two orders of magnitude.
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3.2. The effect of QG
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Fig. 3 shows the effect of the QG/QL ratio (or QG) and ω on KLa and η values at QL = 0.05
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L/min and T = 25 and 40 °C. The results indicate that a higher QG/QL ratio or a higher QG value
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at a given QL value increases KLa and η for ammonia stripping by multiplying the stripping
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factor (S). It is noted that the S is the ratio of the slope of equilibrium line and the slope of the
251
operating line (Liu et al., 2015). The increasing supply of continuous flow of fresh air in the RPB
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facilitated the transfer of ammonia molecules from the water to the air, thus resulting in larger
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values of S and transfer units. At T = 25 °C and ω = 1200 rpm, the KLa value at a QG/QL ratio of
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1800 (0.00342 1/s) was 1.8 times higher than that at a QG/QL ratio of 750 (0.00186 1/s), while
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the η value at a QG/QL ratio of 1800 (64.3%) was 1.7 times higher than that at a QG/QL ratio of
256
400 (36.8%). A similar trend was observed at high T (40 °C) and at ω = 1200 rpm. The KLa
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values were 0.00227 and 0.00510 1/s at QG/QL ratios of 400 and 1600, respectively; likewise, the
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η values were 39.5% and 81.3% at QG/QL ratios of 400 and 1600, respectively. Although a
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higher QG/QL ratio or QG also resulted in a shorter time of contact between the liquid and gas
260
currents, introduction of abundant air apparently enhanced the mass transfer of ammonia by
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increasing the refresh rate of the gas–liquid interface. Consequently, a shorter exposure time was
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required to attain the desired high efficiency of the RPB in ammonia stripping.
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3.3. The effect of QL
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The effect of QL (0.02–0.1 L/min) on KLa and η values at QG values of 40–75 L/min (T = 25–
266
40 °C and ω = 1200 rpm) is shown in Fig. 4. The results differ from the effects of QG, ω, and T
267
on KLa and η. The η value decreased with QL, in contrast to the tendency of KLa with QL (Fig.
268
4a). Changes in KLa due to these operational factors are normally directly reflected in the
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separation efficiency. At QG = 40 L/min, ω = 1200 rpm, and T = 40 °C, the experimental KLa
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increased by 2.2 times, from 0.00256 to 0.00583 1/s, while the QL value increased four times,
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from 0.025 to 0.1 L/min. In contrast, the η value decreased from 81.4% to 41.8% when the QL
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value increased from 0.025 to 0.1 L/min. The results indicate that the increased QL leads to
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considerable compensatory effects due to the decrease in tL and S, resulting in a decrease in η for
274
ammonia stripping. Note that the tL decreased from 17.2 to 10.4 s when QL increased from 0.025
275
to 0.1 L/min at the same level of QG = 40 L/min, ω = 1200 rpm, and T = 40 °C.
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276 3.4. Prediction models for KLa and η
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In order to explore the effect of the operating variables QL, QG, ω, and T on KLa within the
279
range of experimental conditions, this study used the empirical dimensionless model that has
280
been proposed for the prediction of KLa in ethanol stripping (Kelleher and Fair, 1996), VOC
281
absorption (Chen and Liu, 2002), and ozonation (Chen et al., 2004) processes in the RPB system.
282
The dimensionless parameters of the model include the Reynolds numbers of the liquid (ReL)
283
and gas (ReG), the Grashof number of the liquid based on the average bed radius (GrL,avg), and
284
the dimensionless Henry constant for ammonia (HC). All of these parameters may be computed
285
from operating variables and other physical properties. The correlation model for KLa is obtained
286
by using the observational data in Figs. 2–4 (R2 = 0.8075):
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K L ad p D La p
0.024 Re L
0.352
Re G
0.613
GrL,avg
0.198
HC
0.159
(9)
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where dP is the stainless-steel-wire diameter of the packing (0.22 m), ap is the specific area of
289
packing per unit volume of the packed bed (840 m2/m3), and DL is the molecular liquid diffusion
290
coefficient of ammonia. ReL, ReG, and GrL,avg are defined as follows:
291
r L Q L ln o ri Re L 2Z B ro ri a P L
(10)
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r G Q G ln o ri Re G 2Z B ro ri a P G
(11)
ravg2 ravg ri
3
GrL , avg
L
(12)
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The values of the physical properties of the dimensionless groups are shown in Table 1. The
295
range of the dimensionless groups in the empirical model is 0.12 < KLadP/DLaP < 0.85, 0.10 <
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ReL < 0.40, 3.11 < ReG < 15.23, 1.35 × 109 < GrL,avg < 4.27 × 1010, and 6.96 × 10−4 < HC < 1.28 ×
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10−4. As shown in Eq. 9, KLa is more sensitive to changes in ReG than to changes in ReL, GrL,avg,
298
and HC, in accordance with its power. Hence, the strong enhancement in mass transfer through
299
the supply of fresh air is attributable to the fast refresh rate, which directly increases the QG value
300
within a short tL.
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Figs. 5a and 5b illustrate the parity of the experimental and predicted values of KLa and η,
302
respectively. Note that the determination of η is based on the substitution of the predicted KLa
303
values into Eq. 8. As can be seen, most of the experimental values of KLa and η lie within 20%
304
of their predicted values. For comparison, the predicted curves are also plotted in Figs. 2–4.
305
Except for the underestimated KLa values at QL (0.1 L/min), ω (1200 rpm), and T (30 and 40 °C)
306
values in Fig. 4a, the experimental and predicted values of KLa and η indicate a good degree of
307
fit for the dimensionless groups ReL, ReG, GrL,avg, and HC.
309
te
Ac ce p
308
d
301
4. Conclusions
310
In summary, the continuous-flow RPB used in this study appears to be very efficient at air
311
stripping of ammonia from an ammonia-rich stream (1000 mg/L). The overall KLa values are
312
12.3–18.4 1/h, which are significantly higher than the values (0.42–1.2 1/h) obtained by using
16
Page 16 of 30
stripping tanks, packed towers, and other advanced gas–liquid contactors. For industrial
314
application of wastewater with high ammonia concentration, a large size of RPB or a series
315
configuration of continuous-flow RPB can be used in order to satisfy the more stringent
316
discharge standards. The results of the empirical dimensionless model show that QG and QL are
317
the most sensitive ammonia stripping parameters for liquid–gas mass transfer in the RPB, while
318
ω and T are less-sensitive parameters.
cr
ip t
313
us
319 Acknowledgment
321
The authors gratefully acknowledge the financial support provided by the Ministry of Science
322
and Technology of Taiwan (102-2622-E-027-024-CC3).
M
an
320
323 Abbreviations
325
aP
Specific area of packing per unit volume of a packed-bed, m2/m3
326
CL,in
Liquid concentration of ammonia of inlet liquid, mg/L
327
CL,out
328
DL
329
dP
330
g
331
HC
332
KLa
Overall liquid volumetric mass transfer coefficient, 1/s
333
ravg
Average radius of a packed bed, (ri + ro)/2, m
334
ri
Inner radius of a packed bed, m
Ac ce p
te
d
324
Liquid concentration of ammonia of outlet liquid, mg/L Molecular liquid diffusion coefficient of ammonia Stainless wire diameter of bed, 0.22 m Gravitational acceleration, m/s2 Dimensionless Henry’s law constant of ammonia
17
Page 17 of 30
Outer radius of a packed bed, m
336
RPB
Rotating packed bed
337
S
Stripping factor, HCQG/QL
338
tL
liquid hydraulic retention time, VL/QL or LVB/QL, s, min or h
339
T
Stripping temperature, °C
340
TCE
Trichloroethylene
341
VOCs
Volatile organic compounds
342
QG
Gas flow rate, L/min
343
QG/QL
Ratio of gas and liquid flow rate, -
344
QL
Liquid flow rate, L/min
345
VB
Volume of a packed bed, π(ro2 – ri2)ZB, m3
346
VL
Liquid hold-up, m3
347
WWTPs
Wastewater treatment plants
348
ZB
Axial height of a packed bed, m
us an
M
d
te
Ac ce p
349
ip t
ro
cr
335
350
Greek Symbols
351
L
352
μG
353
μL
Liquid viscosity
354
L
Dynamic liquid viscosity
355
π
Circular ratio
Relative liquid hold-up Gas viscosity
18
Page 18 of 30
356
ρG
Density of gas
357
ρL
Density of liquid
358
ω
Rotational speed, rpm or rad/s (for Gravg calculation)
ip t
359 Dimensionless Groupings
361
Gravg
Grashof number of the liquid based on the average bed radius, ravgω2(ravg – ri)3/νL2
362
ReG
Reynolds number of the gas, ρGQGln(ro/ri)/[2πZB(ro – ri)apμG]
363
ReL
Reynolds number of the liquid, ρLQLln(ro/ri)/[2πZB(ro – ri)apμL]
an
us
cr
360
364 References
366
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472
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478
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479
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480
23
Page 23 of 30
480
Table 1. Physical properties of dimensionless groups
Unit
Dimensionless Henry constant for ammonia, HC
Temperature 30 °C
–
0.000560
0.000858
0.00128
Density of liquid, ρL
kg/m3
997.1
995.7
992.3
Liquid viscosity, μL
10-3 kg/(m-s)
0.890
0.798
0.653
Density of gas, ρG
kg/m3
1.1855
Gas viscosity, μG
10-5 kg/(m-s)
1.85
Liquid diffusion coefficient, DL
10-9 m2/s
1.71
of
Standards
us
482
http://webbook.nist.gov/cgi/cbook.cgi?Name=ammonia&Units=SI
and
1.166
1.127
1.87
1.91
1.90
2.41 (NIST),
Ammonia
te
d
Technology
Ac ce p
484
Institute
an
Ref:
M
481
483
National
40 °C
cr
25 °C
ip t
Item
24
Page 24 of 30
ip t
Experimental conditions
Type of liquid flow
pH
VB
QL
QG
(L)
(L/min)
(L/min)
Stripping Air consumption,
us
Equipments
cr
Table 2. A comparison of stripping time, air consumption and KLa in different equipments for ammonia stripping
T
time (h)
(°C)
M an
485
QG/QLb (–) or
KLa (1/h)
QG/VBc (1/min)
η (%)
Continuous
11
0.4
0.05
90
25
0.0037a
1800b
12.3
64
bed
flow
11
0.4
0.05
80
30
0.0037a
1600b
13.9
69
11
0.4
0.05
80
40
0.0037a
1600b
18.4
81
12
0.05
–d
4.5
20
9
96b
0.48
98
Aerocyclone
ce pt
Jet loop reactor
Recirculation 10.5–11 Recirculation Recirculation
11
11–12
Ac
Packed tower
Batch
ed
Rotating packed
Stirrer tank
1000 9
10
e
8.3
Reference
This work
(BasakcilardanKabakci et al., 2007)
25000
15
3.5
b
c
3000 or 25
0.42
75
(Le et al., 2006)
50e
50
20
5.8
5.6c
0.63
97
(Deĝermenci et al., 2012)
–f
114
25
3.5
11.4c
1.2
486
a
487
ratio in terms of QG/VB. dNot applicable. eLiquid circulation rate for reactor type of liquid recirculation. fNot available.
98
(Quan et al., 2009)
As liquid hydraulic retention time (tL) estimated by Chen et al. (2004). bAir consumption ratio in terms of QG/QL. cAir consumption
488
25
Page 25 of 30
To hood
3
11
Liquid in
1
Gas out
T
T
8 9
5
Gas in
D
6
7
us
489
cr
Liquid out
10
4
ip t
2
490
Fig. 1. Schematic diagram of the rotating packed bed (RPB) system for ammonia stripping.
492
Components: 1. hot-plate magnetic-stirrer device; 2. ammonia-storage tank; 3. Pump; 4.
493
Thermocouple; 5. RPB (stainless steel wire mesh); 6. In situ ammonia monitor; 7. Motor; 8. RPB
494
shell; 9. Air flow meter; 10. Air compressor; 11. Neutralization tank.
M
an
491
te Ac ce p
496
d
495
26
Page 26 of 30
0.005
(a) KLa for ω and T at Q G/Q L of 1200
ip t
0.003
cr
KLa (1/s)
0.004
us
0.002
0.001
90
0
500
1000
1500
an
(b) for ω and T at Q G/QL of 1200 80
M
(%)
70 60
d
50
te
40 30
496
Ac ce p
0
500
1000
1500
(rpm)
497
Fig. 2. Effects of ω and T on (a) KLa and (b) η for ammonia stripping at QL of 0.05 L/min and
498
QG/QL = 1200. Symbols: T of 25 (), 30 () and 40 () °C, respectively. Solid lines:
499
Predictions for KLa and η were based on Eqs. 9 and 8, respectively.
500 501
27
Page 27 of 30
0.006
0.006
0.004
0.004
0.003
0.003
0.002
0.002 0.001
0.001 90 400
800
1200
1600
2000 90 400
(b) for and QG/QL at 25 °C
80
70
1200
1600
2000
d) for and Q G/QL at 40 °C
70
60
60
M
(%)
800
an
80
50
50 40
40
20 400
800
te
d
30
1200
QG/QL (-)
1600
30 20 2000 400
800
1200
1600
2000
QG/QL (-)
Ac ce p
501
cr
0.005
us
KLa (s-1)
0.005
ip t
(c) KLa for and QG/Q L at 40 °C
(a) KLa for and Q G/QL at 25 °C
502
Fig. 3. Effects of ω and QG/QL on KLa (a and c) and η (b and d) for ammonia stripping at QL of
503
0.05 L/min and T of 25 (a and b) and 40 (c and d) °C. Symbols: ω = 300 (), 600 () and 1200
504
() rpm. Solid lines: Predictions for KLa and η were based on Eqs. 9 and 8, respectively.
505
28
Page 28 of 30
0.007
(a) K La for Q L and T at
0.006
ip t
0.004
cr
KLa (1/s)
0.005
0.003
us
0.002
0.001 0.04
0.08
0.12
0.04 0.08 Q L (L min-1)
0.12
(b) for Q L and T at
M
90 80
d
70 60
te
(%)
an
100 0
50
Ac ce p
40 30 20
0
505 506
Fig. 4. Effects of QL and T on (a) KLa and (b) η for ammonia stripping at ω of 600 (empty
507
symbol and dot line) and 1200 (solid symbol and line) rpm. Symbols: QG of 75 L/min and T of
508
25 °C ( or ); QG of 60 L/min and T of 30 °C ( or ); QG of 40 L/min and T of 40 °C ( or
509
). Dot and solid lines: Predictions for KLa and η were based on Eqs. 9 and 8, respectively.
510
29
Page 29 of 30
0.008
ip t
0.006
0.004
cr
0.002
us
Predicted KLa (1/s)
(a)
0 0
0.002
0.004
0.008
an
100
(b)
M
80 60 40
d
Predicted (%)
0.006
Experimental KLa (1/s)
te
20
Ac ce p
0
0
510
20
40
60
80
Experimental (%)
100
511
Fig. 5. Diagonal graphs of experimental and predicted (a) KLa and (b) η. Dotted lines:
512
Prediction values within 20%.
513
30
Page 30 of 30