2017
DOI: 10.1016/j.watres.2017.07.032
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Modelling oxygen transfer using dynamic alpha factors

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Cited by 38 publications
(20 citation statements)
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“…The organics that otherwise would be oxidized by costly aeration are now being redirected to the anaerobic digester, benefiting the plant's energy balance. The organic‐rich primary sludge diversion to the anaerobic digester had twofold benefits: increasing the amount of primary sludge to energy recovery processes (anaerobic digester), which can yield 30%–50% more methane than secondary sludge (Appels, Baeyens, Degrève, & Dewil, 2008; Gori et al., 2011; Takacs and Vanrolleghem, 2006; Zhou, Zhang, Le, Puah, & Ng, 2013), and also increasing the aeration efficiency during the secondary treatment, improving the oxygen mass transfer indicator (α) due to the lower organics concentrations (Jiang et al., 2017).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The organics that otherwise would be oxidized by costly aeration are now being redirected to the anaerobic digester, benefiting the plant's energy balance. The organic‐rich primary sludge diversion to the anaerobic digester had twofold benefits: increasing the amount of primary sludge to energy recovery processes (anaerobic digester), which can yield 30%–50% more methane than secondary sludge (Appels, Baeyens, Degrève, & Dewil, 2008; Gori et al., 2011; Takacs and Vanrolleghem, 2006; Zhou, Zhang, Le, Puah, & Ng, 2013), and also increasing the aeration efficiency during the secondary treatment, improving the oxygen mass transfer indicator (α) due to the lower organics concentrations (Jiang et al., 2017).…”
Section: Resultsmentioning
confidence: 99%
“…Aeration is an essential operation in water resource recovery facilities (WRRFs) and is the main contributor to plant power demand, dominating the process energy requirements with the exclusion of site‐specific pumping (Garrido‐Baserba et al., 2017; Rosso & Shaw, 2015; Rosso & Stenstrom, 2006; WEF, 2009). The oxygen transfer efficiency decreases from its clean water value (SOTE, %) to process conditions (αSOTE, %) because of the loading conditions, among other co‐related factors (i.e., surfactants and process characteristics), and this decrease is quantified through the alpha‐factor (ASCE, 2007; Jiang et al., 2017; Metcalf & Eddy, 2014; Stenstrom & Gilbert, 1981; Manual, US EPA, 1989). Any effort to divert load from the secondary treatment would result in the beneficial reduction of plant energy usage (Gori et al., 2013; Rahman et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…The current practice of using a single value must be changed to the practice of using a dynamic a-factor; a dynamic model should be used to describe aeration energy demand, both in 24-hour periods with load variations and a-factor changes, and over months or years as diffusers become more fouled and aged. However, this approach (Jiang, Garrido-Baserba et al, 2017) should soon be validated with commercial simulators.…”
Section: Bridging the Gap Between Field Measurements And Oxygen Transmentioning
confidence: 99%
“…Many factors affect the OTE of aeration systems, such as the airflow rate [9,10], diffuser density [11,12], contaminant concentration [13][14][15], and sludge characteristics [16,17]. However, the influence of these factors is not the same [8].…”
Section: Introductionmentioning
confidence: 99%