2017
DOI: 10.1016/j.watres.2016.12.027
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Modelling the link amongst fine-pore diffuser fouling, oxygen transfer efficiency, and aeration energy intensity

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Cited by 32 publications
(13 citation statements)
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“…It may cause an uneven distribution of carriers [30], and different CFRs may lead to different αSOTE values. For the third possibility, the fouling of the diffusers had a more noticeable effect on fine-bubble aeration systems [39,40] but had little impact on coarse-bubble aeration systems [41]. Therefore, the reason for the difference in the distribution law of the fine-bubble and the coarse-bubble aeration systems may be different.…”
Section: Effects Of Aeration Type On the αSote Of Ifasmentioning
confidence: 99%
“…It may cause an uneven distribution of carriers [30], and different CFRs may lead to different αSOTE values. For the third possibility, the fouling of the diffusers had a more noticeable effect on fine-bubble aeration systems [39,40] but had little impact on coarse-bubble aeration systems [41]. Therefore, the reason for the difference in the distribution law of the fine-bubble and the coarse-bubble aeration systems may be different.…”
Section: Effects Of Aeration Type On the αSote Of Ifasmentioning
confidence: 99%
“…Recent research has measured a quantitative connection between the extent of biofouling and reduced diffuser efficiency. Although each diffuser type presents its own performance and specific fouling response, there is a high correlation between biofouling phenomena, measured as biofilm DNA, and diffuser performance, expressed by the decrease in oxygen transfer efficiency (Garrido‐Baserba et al, 2016, 2017). New diffuser materials (e.g., silicone, polyurethane, EPDM with PTFE coating, EPDM impregnated with PTFE) are being introduced on the market, to reduce fouling propensity and extend the periods between cleaning events.…”
Section: Factors Affecting Oxygen Transfer Efficiencymentioning
confidence: 99%
“…The current practice of using a single value must be changed to the practice of using a dynamic α‐factor; a dynamic model should be used to describe aeration energy demand, both in 24‐hour periods with load variations and α‐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%
“…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).…”
Section: Introductionmentioning
confidence: 99%