Academic literature on the topic 'Monod's kinetics'

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Journal articles on the topic "Monod's kinetics"

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Prakash, N. B., and N. S. Ganesh. "Microbial Kinetics and Growth Study in Biological Digestion of Composite Tan Liquor." Asian Journal of Water, Environment and Pollution 7, no. 1 (2010): 113–21. http://dx.doi.org/10.3233/ajw-2010-7_1_15.

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In the present paper, description of anaerobic treatment of tannery wastewater, according to the proposed kinetic model, has been presented. The experimental results of microbial growth predictions showed the greatest resemblance to the conventional models. The study on cell growth kinetics, substrate uptake and product formation in microbial growth, and enzyme kinetics has been carried out. The studies showed that an optimum BOD influent load of 0.8 kg BOD/m $^3$ /day with three days retention time could be adopted to yield about 97 percent BOD reduction. The bio-kinetic coefficients were evaluated using modified Monod's equations to study the metabolic performance of the digestion process. The role of magnesium carbonate during anaerobic digestion has been studied for the enhancement of methane generation.
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Oa, S. W., E. Choi, S. W. Kim, K. H. Kwon, and K. S. Min. "Economical and technical efficiencies evaluation of full scale piggery wastewater treatment BNR plants." Water Science and Technology 59, no. 11 (2009): 2159–65. http://dx.doi.org/10.2166/wst.2009.239.

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A method evaluating the economic efficiency of piggery waste treatment plant based on kinetics for nitrogen removal performances is executed in this study and five full scale plants were evaluated, monitored intensively during one year under steady-state conditions. The performance data from those surveyed plants were recalculated by first-order kinetic equation instead of the Monod's equation, and the nitrogen removal kinetics related with COD/TKN ratios. Two plants adapting two extreme strategies for pre treatment, ‘excess phase separation’, and ‘minimum phase separation’, were evaluated by the assessment of life cycle cost (LCC). Although the compared two plants use an opposite strategy to each other, similar evaluation results are deduced by nitrogen removal efficiencies and operational and construction costs. But the proportions of constituent elements are as different as two opposite strategies, so electrical and construction costs are inversely proportional to chemical costs and operational costs respectively.
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Supriyo, Goswami, Sarkar Sushovan, and Mazumder Debabrata. "Development of kinetics of wastewater treatment in the aerobic biofilm reactor." Journal of Indian Chemical Society Vol. 95, Sep 2018 (2018): 1129–35. https://doi.org/10.5281/zenodo.5652777.

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Civil Engineering Department, Indian Institute of Engineering Science and Technology, Botanic Garden, Shibpur, Howrah-711 103, West Bengal, India <em>E</em>-<em>mail:</em> supriyogoswami.ju@gmail.com, debabrata@civil.iiests.ac.in Civil Engineering Department, Amity University, Kolkata-700 135, India <em>Manuscript received 17 January 2018, revised 21 June 2018, accepted 27 June 2018</em> Biofilm process is widely used for a variety of wastewater especially containing slowly biodegradable substances. It is resis&shy;tant to toxic environment and capable of excellent retention of biomass under continuous operation. Development of kinetics is very much pertinent for rational design of a biofilm process for the treatment of wastewater with or without inhibitory sub&shy;stances. A simple approach for development of such kinetics for an aerobic biofilm reactor has been presented using a novel biofilm model. The novel biofilm model is formulated from the correlations between substrate concentrations in the influent/ effluent and at biofilm liquid interface along with substrate flux and biofilm thickness complying Monod&rsquo;s growth kinetics. The methodology for determining the kinetic coefficients for substrate removal and biomass growth has been demonstrated stepwise along with graphical representation. Kinetic coefficients like <em>K</em>, <em>k</em>, <em>Y</em>, <em>b</em><sub>t</sub>, <em>b</em><sub>s</sub> and <em>b</em><sub>d</sub> are determined either from the intercepts of X and Y-axis or from the slope of the graphical plots.
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Bhattacharya, Roumi, and Debabrata Mazumder. "Kinetic study on nitrification of ammonium nitrogen-enriched synthetic wastewater using activated sludge." Water Science and Technology 81, no. 1 (2020): 62–70. http://dx.doi.org/10.2166/wst.2020.080.

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Abstract Nitrification of ammonium nitrogen (NH4+-N)-bearing synthetic wastewater was performed in a batch-activated sludge reactor by varying the initial ammonium nitrogen concentration up to 400 mg/L at a pH of 8.1 ± 0.2 and temperature of 36 ± 2 °C for developing the process kinetics using acclimatised biomass. Maximum ammonium nitrogen removal efficiency of 98.3% was achieved with initial ammonium nitrogen and mixed liquor suspended solids concentration of 235 mg/L and 2,180 mg/L, respectively, at 48 h batch period. Based on the experimental results, kinetic constants for ammonia nitrogen removal following Monod's approach were obtained as maximum substrate removal rate coefficient = 0.057 per day, yield coefficient = 0.336 mg volatile suspended solids/mg ammonium nitrogen, half velocity constant = 12.95 mg NH4+-N/L and endogenous decay constant = 0.02 per day. Nitrification is a consecutive reaction with ammonium oxidation as the first step followed by nitrite oxidation. The overall rate of nitrite and nitrate formation was observed to be 1.44 per day and 0.34 per day, respectively.
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Marcos, N. I., M. Guay, and D. Dochain. "Output feedback adaptive extremum seeking control of a continuous stirred tank bioreactor with Monod's kinetics." Journal of Process Control 14, no. 7 (2004): 807–18. http://dx.doi.org/10.1016/j.jprocont.2003.12.002.

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Sarkar, Sushovan, and Debabrata Mazumder. "Development of a simplified model for the fixed biofilm reactor." Water Science and Technology 72, no. 9 (2015): 1601–10. http://dx.doi.org/10.2166/wst.2015.377.

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A simplified fixed biofilm model was developed to formulate the relationship between the substrate concentrations at both the entry and exit, at the biofilm–liquid interface and at the biofilm attached surface along with average substrate flux in the biofilm, substrate flux at the biofilm–liquid interface and effective biofilm thickness. The model considered the substrate mass transport external to the biofilm and into the biofilm as per Fick's law and the steady state substrate as well as biomass balance for attached growth microorganisms. Monod's growth kinetics has been adopted in substrate utilization, incorporating relevant boundary conditions. The numerical solution of model equations was accomplished for calculating average flux and exit substrate concentration and thereafter the Runge–Kutta method was employed for determining effective biofilm thickness. Consequently, two computer programs were developed for the purpose of rapid solution. The model was satisfactorily applied to data available from the literature for checking its accuracy and was validated with the experimental results. The model was found to be an easy, accurate and fast method that can be used for process design of a fixed biofilm reactor.
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Petelkov, Ivan, Vesela Shopska, Rositsa Denkova-Kostova, Georgi Kostov, and Velislava Lyubenova. "Investigation of Different Regimes of Beer Fermentation with Free and Immobilized Cells." Periodica Polytechnica Chemical Engineering 64, no. 2 (2019): 162–71. http://dx.doi.org/10.3311/ppch.13845.

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Three different kinetic models – Monod’s model, Monod’s model with substrate inhibition, and Monod's model with substrate and product inhibition were developed for studying of beer fermentation with free and immobilized cells at different main fermentation and maturation temperatures. The most accurate model was Monod's model with substrate and product inhibition. It showed that maturation temperature had no effect on primary metabolism but it affected significantly the secondary metabolites production. In regard to carbonyl compounds and esters, the increase in maturation temperature led to different trends for free and immobilized cells. Regarding the higher alcohols, the increase in maturation temperature resulted in increase in their yield coefficients for both immobilized and free cells. A sensory evaluation of beers produced with free and immobilized cells were also carried out and the results showed similar results for two beer types.
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Petelkov, Ivan, Vesela Shopska, Rositsa Denkova-Kostova, Kristina Ivanova, Georgi Kostov, and Velislava Lyubenova. "Investigation of Fermentation Regimes for the Production of Low-alcohol and Non-alcohol Beers." Periodica Polytechnica Chemical Engineering 65, no. 2 (2021): 229–37. http://dx.doi.org/10.3311/ppch.15975.

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The combination of modified mashing method and arrested fermentation for the production of low-alcohol and non-alcohol beers was studied. Therefore, five regimes for fermentation of wort with reduced fermentable sugar content with top-fermenting yeast strain at low temperatures and pitching rates were investigated. According to the fermentation dynamic results the decrease in the fermentation temperature from 10 °C to 5 °C at pitching rate of 109 Colony Forming Units cm−3 ( CFU cm−3 ) led to significantly reduced concentrations of ethanol and secondary metabolites in beer. The temperature decrease from 10 °C to 7 °C at pitching rate of 107 CFU cm−3 resulted in a decrease in the alcohol concentration and increase in all the secondary metabolite concentrations except for the vicinal diketones concentration. Data show that yeast biomass does not grow at 5 °C and at inoculum concentration of 107 CFU cm−3, which makes fermentation impossible. Fermentation kinetics using Monod's model supplemented with product inhibition was also investigated. Up to 1.7 % of alcohol accumulates in the beer in some of the variants within 7 days. At low fermentation temperatures, yeast biomass utilizes part of the substrate to maintain its vital activity under stress fermentation conditions, which leads to a reduction in the amount of alcohol synthesized. The synthesis and reduction of the secondary metabolites was delayed compared to conventional beer fermentation. The sensory evaluation of the beers produced showed that the most appealing beer was the one produced at 10 °C and pitching rate of 109 CFU cm−3.
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Biswabandhu, Chatterjee, and Mazumder Debabrata. "Development of a simplified mathematical-model for a three-stage anaerobic digester stabilizing fruit and vegetable waste (FVW) under limiting-substrate condition." Journal of Indian Chemical Society Vol. 97, Apr 2020 (2020): 645–55. https://doi.org/10.5281/zenodo.5643514.

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Civil Engineering Department, Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, West Bengal, India <em>E-mail:</em> cbiswabandhu@yahoo.com <em>Manuscript received online 24 December 2019, accepted 25 March 2020</em> The present study focused on the modeling of a three-stage hybrid anaerobic digester, stabilizing fruit and vegetable waste (FVW), under limiting-substrate condition. The digester consisted of a hydrolytic reactor operated under suspended-growth condition, an acidogenic/acetogenic reactor operated under hybrid-growth condition, and a methanogenic reactor also operated under hybrid-growth condition. The three reactors were connected in series. Monod&rsquo;s kinetics was used for modeling the substrate consumption in the suspended-growth part of all the three stages, whereas Fick&rsquo;s second law of molecular diffusion was followed while modeling the substrate consumption into the biofilm that comprised the attached-growth microbes. This is to say that the model considered the substrate mass-transfer external to the biofilm, and into the biofilm as per Fick&rsquo;s second law of molecular diffusion. Appropriate boundary conditions, which were relevant to limiting-substrate scenario, were incorporated while deriving the model and identical reaction kinetics were assumed for both the attached and suspendedgrowth systems. The step-by-step procedure to solving the mathematical model has also been suggested.
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Martín-Biosca, Yolanda, Vives Salvador Sagrado, Mireia Pérez-Baeza, Laura Escuder-Gilabert, and María José Medina-Hernández. "Monod-based 'single-data' strategy for biodegradation screening tests." Environmental Chemistry 17, no. 3 (2019): 278–88. https://doi.org/10.1071/EN19171.

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Information obtained from biodegradability tests, e.g. half-life time (<em>t</em><sub>50</sub>) or kinetic parameters, is relevant in environmental risk assessment of new chemicals. In these tests, the removal of the tested compound is measured over a prefixed period of time (e.g. 28 days in ready biodegradability tests) to derive a substrate depletion curve. The implementation can be time-consuming, costly and difficult, especially when the complexity of the environmental compartment increases. In this work, the possibility of obtaining a full biodegradation depletion curve from a single biodegradation-time experimental data (&ldquo;single-data&rdquo; strategy) was evaluated. Monod kinetics is assumed to avoid the limitations related to first-order kinetics, only valid for very low substrate concentrations. Experimental and simulated data were used to illustrate the potential of the proposed strategy. The effects on the estimates of several variables (e.g. Monod kinetic parameters, compound concentration or variability in biodegradation data) and the errors provoked in some of them were also evaluated. The results suggest that the proposed strategy can be used as a rapid (based on data measured at day 7) and low-cost screening approach to anticipate the result of a biodegradability test for new chemicals. The applicability and practical limitations of the &ldquo;single-data&rdquo; strategy have been illustrated using experimental data for several compounds ranging from ready biodegradable (e.g. benzoic acid, acetylsalicylic acid, p-toluic acid) to potentially persistent ones (e.g. bupivacaine, p-phenitidine, phtadinitrile).
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Dissertations / Theses on the topic "Monod's kinetics"

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Olinde, Lindsay. "Sediment Oxygen Demand Kinetics." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/42437.

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Hypolimnetic oxygen diffusers increase sediment oxygen demand (SOD) and, if not accounted for in design, can further exacerbate anoxic conditions. A study using extracted sediment cores, that included both field and laboratory experiments, was performed to investigate SOD kinetics in Carvinâ s Cove Reservoir, a eutrophic water supply reservoir for Roanoke, Virginia. A bubble-plume diffuser is used in Carvinâ s Cove to replenish oxygen consumed while the reservoir is thermally stratified. The applicability of zero-order, first-order, and Monod kinetics to describe transient and steady state SOD was modeled using analytical and numerical techniques. Field and laboratory experiments suggested that first-order kinetics characterize Carvinâ s Cove SOD. SOD calculated from field experiments reflected diffuser flow changes. Laboratory experiments using mini-diffusers to vary dissolved oxygen concentration and turbulence were conducted at 4°C and 20°C. Similar to field observations, the laboratory results followed changes in mini-diffuser flow. Kinetic-temperature relationships were also observed in the laboratory experiments. A definitive conclusion could not be made on the broad applicability of first-order kinetics to Carvinâ s Cove SOD due to variability within field experiments. However, in situ experiments are underway that should assist in the overall understanding of the reservoirâ s SOD kinetics.<br>Master of Science
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Hanna, Molin. "Optimal steady-state design of bioreactors in series with Monod growth kinetics." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-338760.

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Bioreactors are used to carry out bioprocesses and are commonly used in e.g. biogas production and wastewater treatment. Two common hydraulic models of bioreactors are the continuous stirred tank reactor (CSTR) and the plug-flow reactor (PFR). In this paper, a differential equation system that describes the substrate, biomass and inert biomass in the bioreactors is presented. It is used in a steady-state analysis and design of CSTRs in series. Monod kinetics were used to describe the specific growth rate and the decay of biomass was included. Using the derived systems of differential equations, two optimization problems were formulated and solved for both CSTRs in series and for a CSTR+PFR. The first optimization problem was to minimize the effluent substrate level given a total volume, and the second was to minimize the total volume needed to obtain a certain substrate conversion. Results show that the system of differential equations presented can be used to find optimal volume distributions that solves the optimization problems. The optimal volume for N CSTRs in series decreases as N increases, converging towards a configuration of a CSTR followed by a PFR. Analyzing how the decay rate affects the results showed that when the total volume was kept constant, increasing the decay rate caused less difference between the configurations. When the total volume was minimized, increasing the decay rate caused the configurations to diverge from each other. The presented model can be used to optimally divide reactors into smaller zones and thereby increasing the substrate conversion, something that could be of interest in e.g. existing wastewater treatment plants with restricted space. A fairly accurate approximation to the optimal design of N CSTRs in series is to use the optimal volume for the CSTR in the configuration with a CSTR+PFR and equally distribute the remaining volumes.<br>Bioreaktorer används för att utföra olika biologiska processer och används vanligen inom biogasproduktion eller för rening av avloppsvatten. Två vanliga hydrauliska modeller som används vid modellering av bioreaktorer är helomblandad bioreaktor (på engelska continuous stirred tank reactor, CSTR) eller pluggflödesreaktor (på engelska plug-flow reactor, PFR). I den här rapporten presenteras ett system av differentialekvationer som används för att beskriva koncentrationerna av substrat, biomassa och inert biomassa i både CSTR och PFR. Ekvationssystemet används för analys och design av en serie CSTRs vid steady-state. Tillväxten av biomassa beskrivs av Monod-kinetik. Avdödning av biomassa är inkluderat i studien. Från ekvationssystemet formulerades två optimeringsproblem som löstes för N CSTRs i serie och för CSTR+PFR. Det första optimerinsproblemet var att minimera substrathalten i utflödet givet en total volym. I det andra minimerades den totala volymen som krävs för att nå en viss substrathalt i utflödet. Resultaten visade att ekvationssystemet kan användas för att hitta den optimala volymsfördelningen som löser optimeringsproblemen. Den optimala volymen för N CSTRs i serie minskade när antalet CSTRs ökade. När N ökade konvergerade resultaten mot de för en CSTR sammankopplad med en PFR. En analys av hur avdödningshastigheten påverkade resultaten visade att en ökad avdödningshastighet gav mindre skillnad mellan de två olika konfigurationerna när den totala volymen hölls konstant. När den totala volymen istället minimerades ledde en ökad avdödningshastighet till att de två konfigurationerna divergerade från varandra. Modellen som presenteras i studien kan användas för att fördela en total reaktorvolym i mindre zoner på ett optimalt sätt och på så vis öka substratomvandlingen, något som kan vara av intresse i exempelvis befintliga avloppsreningsverk där utrymmet är begränsat. En relativt bra approximation till den optimala designen av N CSTRs i serie är att optimera volymerna för en CSTR+PFR, använda volymen för CSTR som första volym i konfigurationen med N CSTR i serie, och sedan fördela den kvarvarande volymen lika mellan de övriga zonerna.
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Ribita, Daniela. "QUANTIFICATION OF SCENEDESMUS DIMORPHUS GROWTH AND SUBSTRATE KINETICS FOR CONTINUOUS PHOTOBIOREACTOR DESIGN." Cleveland State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=csu1312572699.

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Sheikh, Kharisha S. "Kinetics of 2, 4, 6-Trinitrotoluene Reduction by Pseudomonas Putida." Ohio University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1156790187.

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Villarreal, Rodriguez Marco Antonio. "Assessment of nonlinear least-squares estimation of monod kinetic parameters from batch reactor experiments." Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59832.

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It is known that the use of batch experiments for the estimation of kinetic coefficients is a better alternative than continuous flow reactors, in terms of the time needed to perform the experiments.<br>In this study a new methodology to estimate the four Monod-kinetic parameters from batch reactor data set is presented. This method fits biomass and substrate plots simultaneously via nonlinear least-squares analysis. The nonlinear equations are solved via the secant method.<br>The methodology performed satisfactorily with two synthetic data sets. It was also applied to seven batch reactor data sets available in the literature and to ten data sets from batch experiments using wastewater and sludge from the municipality wastewater treatment plant in Granby, Quebec. The constants estimated vary considerable among themselves, and some were not within the range of values commonly found in the literature. The methodology proposed yields parameter estimates which produce the minimum sum of squares residuals.<br>It is believed that further studies are needed if one is to attempt estimating the four Monod-kinetics constants using batch reactors experiments.
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Cormier, Ivy. "A STELLA Model for Integrated Algal Biofuel Production and Wastewater Treatment." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3562.

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Based on a municipal wastewater treatment plant (WWTP) in Tampa, FL, a dynamic multiple-systems model was developed on the STELLA software platform to explore algae biomass production in wastewater by incorporating two photobioreactors into the WWTP‟s treatment train. Using a mass balance approach, the model examined the synergy through algal growth and substrate removal kinetics, as well as macroeconomic-level analyses of algal biomass conversion to biodiesel, biogas, or fertilizer. A sensitivity analysis showed that biomass production is highly dependent on Monod variables and harvesting regime, and profitability was sensitive to processing costs, market prices of products, and energy environment. The model demonstrated that adequate nutrients and carbon dioxide are available in the plant‟s influent to sustain algal growth. Biogas and fertilizer production were found to be profitable, but biodiesel was not, due to high processing costs under current technologies. Useful in determining the growth potential on a macro-level, the model is a tool for identifying focus areas for bench and pilot scale testing.
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Nordenborg, Åsa. "Luftflödesstyrning på Käppalaverket – utvärdering av konstanta styrsignaler." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148629.

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På Käppalaverket i Stockholm står luftningen av de biologiska bassängerna för omkring en femtedel av verkets totala elenergiförbrukning. I ett försök att minska energikostnaden utvärderades under hösten 2010 nya metoder för luftflödesreglering på verket. Grundtanken var att styra luftflödet efter medelvärdet på utgående ammoniumkoncentration under en längre tid, istället för som idag efter momentana värden. Ett vanligt sätt att styra luftflöden på reningsverk idag är att använda återkoppling från utgående ammoniumkoncentration, vilket syftar till att alltid hålla den utgående koncentrationen vid ett valt börvärde. Lagstiftade gränsvärden på ammonium avser dock normalt medelvärden över en längre tid, såsom kvartal eller år. Istället för att anpassa luftflödet efter den inkommande belastningen är det därför möjligt att hålla luftflödet relativt konstant medan istället den utgående koncentrationen tillåts variera. I denna studie visades en energibesparing kunna erhållas om luftflödets variation reduceras. Två strategier utvärderades i vilka luftflödet respektive syrehalten hölls så konstant som möjligt. Dessa jämfördes med den idag använda styrstrategin på Käppalaverket, i vilken luftflödet anpassas efter den inkommande belastningen genom återkoppling. Studien inkluderade både simuleringar i modellen Benchmark Simulation Model no. 1 och fullskaleförsök på Käppalaverket. I både simuleringar och fullskaleförsök resulterade de två utvärderade strategierna i en lägre luftförbrukning per reningsgrad än den idag använda återkopplingsstrategin. I fullskaleförsöken erhölls en luftflödesreduktion på 11 % då luftflödet hölls konstant och 15 % då syrehalten hölls konstant. Båda strategierna genererade dock en kraftigt varierande utgående ammoniumkoncentration. Variationerna var störst då luftflödet hölls konstant och korrelerade inte med den dygnsbaserade belastningsprofilen. Sammanfattningsvis visade studien att en reducering av luftflödets variation resulterar i en lägre luftförbrukning men också i en ökad instabilitet. En konstant syrehalt gav en större energivinst och även en stabilare ammoniumreduktion än ett konstant luftflöde, varför denna metod har störst potential till vidare implementering i fullskala.<br>The aeration of the bioreactors is responsible for one fifth of the energy consumption at the Käppala wastewater treatment plant (WWTP) in Stockholm. In this report, new methods for aeration control were evaluated in order to reduce the energy costs at the plant. The main idea was to control the effluent ammonia concentration in terms of mean values instead of momentary values. A quite common approach for aeration control is to use feedback from the effluent ammonia concentration, thus aiming to keep the effluent concentration consistently at a certain set point. However, discharge limits normally refer to mean values over longer periods of time, such as months or years. Instead of adjusting the airflow to the incoming load it is therefore possible the keep the airflow fairly constant while allowing a fluctuating effluent concentration. In this paper, it was shown that by reducing the variation of the airflow, energy could be saved. Two methods were evaluated in which the airflow and oxygen concentration respectively was held constant. These methods were compared to the control strategy used today at the Käppala WWTP, where feedback control adjusts the airflow to the influent load. The study consisted of simulations with the Benchmark simulation model no. 1 (BSM1) as well as full scale experiments at the Käppala WWTP. Both the simulations and full scale experiments showed a reduced aeration per nutrient removal for the evaluated methods. In full scale, the total airflow reduction was 11 % when the airflow was held constant and 15 % when the oxygen concentration was held constant. However, the methods resulted in large variations of the effluent ammonia concentration, which did not correlate to the daily influent load. The variations were especially large when the airflow was held constant. In summary, this study showed that a reduced airflow variation results in lower aeration costs but also less stability. A constant oxygen concentration required less aeration and provided a more stable degree of ammonia removal than a constant airflow. For this reason, aeration control with a constant oxygen concentration has the best potential for further use at the Käppala WWTP.
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Misiti, Teresa Marie. "Groundwater nitrate reduction in a simulated free water surface wetland system." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31847.

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Thesis (M. S.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2010.<br>Committee Member: Pavlostathis, Spyros; Committee Member: Spain, Jim; Committee Member: Tezel, Ulas. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Godongwana, Buntu. "Effect of nutrient momentum and mass transport on membrane gradostat reactor efficiency." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2149.

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Thesis submitted in fulfilment of the requirements for the degree Doctor technologiae (engineering: chemical) In the faculty of engineering at the cape peninsula university of technology<br>Since the first uses of hollow-fiber membrane bioreactors (MBR’s) to immobilize whole cells were reported in the early 1970’s, this technology has been used in as wide ranging applications as enzyme production to bone tissue engineering. The potential of these devices in industrial applications is often diminished by the large diffusional resistances of the membranes. Currently, there are no analytical studies on the performance of the MBR which account for both convective and diffusive transport. The purpose of this study was to quantify the efficiency of a biocatalytic membrane reactor used for the production of enzymes. This was done by developing exact solutions of the concentration and velocity profiles in the different regions of the membrane bioreactor (MBR). The emphasis of this study was on the influence of radial convective flows, which have generally been neglected in previous analytical studies. The efficiency of the MBR was measured by means of the effectiveness factor. An analytical model for substrate concentration profiles in the lumen of the MBR was developed. The model was based on the solution of the Navier-Stokes equations and Darcy’s law for velocity profiles, and the convective-diffusion equation for the solute concentration profiles. The model allowed for the evaluation of the influence of both hydrodynamic and mass transfer operating parameters on the performance of the MBR. These parameters include the fraction retentate, the transmembrane pressure, the membrane hydraulic permeability, the Reynolds number, the axial and radial Peclet numbers, and the dimensions of the MBR. The significant findings on the hydrodynamic studies were on the influence of the fraction retentate. In the dead-end mode it was found that there was increased radial convective flow, and hence more solute contact with the enzymes/biofilm immobilised on the surface of the membrane. The improved solute-biofilm contact however was only limited to the entrance half of the MBR. In the closed shell mode there was uniform distribution of solute, however, radial convective flows were significantly reduced. The developed model therefore allowed for the evaluation of an optimum fraction retentate value, where both the distribution of solutes and radial convective flows could be maximised.
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Maus, Victor Wegner. "Modelagem computacional aplicada ao transporte de contaminantes em águas subterrâneas." Universidade Federal de Juiz de Fora (UFJF), 2011. https://repositorio.ufjf.br/jspui/handle/ufjf/3562.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-03-07T14:00:16Z No. of bitstreams: 1 victorwegnermaus.pdf: 6204787 bytes, checksum: 1c441ace80fd21b15887daa548beac3e (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-03-07T15:06:37Z (GMT) No. of bitstreams: 1 victorwegnermaus.pdf: 6204787 bytes, checksum: 1c441ace80fd21b15887daa548beac3e (MD5)<br>Made available in DSpace on 2017-03-07T15:06:37Z (GMT). No. of bitstreams: 1 victorwegnermaus.pdf: 6204787 bytes, checksum: 1c441ace80fd21b15887daa548beac3e (MD5) Previous issue date: 2011-02-24<br>CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Águas subterrâneas são econômica e socialmente importantes e sua contaminação gera grandes preocupações. Nesse sentido a modelagem computacional pode contribuir na gestão de águas subterrâneas e no planejamento da remediação de áreas contaminadas, realizando previsões considerando implicações de diversas alternativas sem o custo de esperar ou colocá-las em prática. O objetivo deste trabalho é estudar modelos matemáticos para os fenômenos envolvidos bem como desenvolver ferramentas numéricas para a simulação computacional que podem auxiliar na prevenção, no controle e na remediação da poluição das águas subterrâneas. Nos experimentos computacionais é simulado o transporte de múltiplas espécies. O problema corresponde a um sistema de equações diferenciais parciais não lineares de advecção-difusão-reação, acopladas pelas reações de biodegradação e sorção em modo de não equilíbrio. A biodegradação é representada pelo modelo cinético de Monod multiplicativo. A sorção, descrita pela isoterma de Freundlich, atua em modo de equilíbrio e não equilíbrio simultaneamente, e ocorre apenas sobre o contaminante. A solução do sistema de EDP’s é obtida em dois passos. No primeiro resolve-se o transporte do contaminante e do oxigênio, onde a discretização espacial é realizada pelo método dos elementos finitos e um método da família trapezoidal generalizada para a discretização temporal. O método de Newton é utilizado para tratar a não linearidade gerada pela sorção de equilíbrio no transporte do contaminante. No passo seguinte, as reações são aproximadas pontualmente pelo método de Runge-Kutta de quarta ordem. Os resultados obtidos nos experimentos computacionais são comparados aos resultados de simulações encontradas na literatura. Nas simulações observou-se a influência da inclusão das reações não lineares de biodegradação e sorção de equilíbrio e não equilíbrio ocorrendo simultaneamente. Assim o estudo das interações entre as reações, pode trazer contribuições para a modelagem do transporte de contaminantes em águas subterrâneas.<br>Groundwater contamination generates large concern related with public health and environmental conservation. The computational modeling can contribute to groundwater management and remediation planning of contaminated areas, making predictions for several scenarios of contamination without the cost of waiting or of putting them into practice. The aim this work is study mathematical models for the phenomena involved and develop numerical tools for the simulation that can assist in the prevention, control and remediation of groundwater pollution. In the computational experiments is simulated the multiple species transport. This problem is modeled for a system of nonlinear partial differential equations, coupled by the biodegradation and sorption reactions. Biodegradation is represented by the multiplicative Monod kinetic model. The sorption is described by the Freundlich isotherm and occur only with the contaminant. The solution of the PDE’s sistem is obtained in two steps. In the first resolves the contaminant and oxygen transport, the finite elements method and Crank-Nicolson scheme are respectively used in the spatial and time discretizations. The Newton method is used to treat the nonlinearity generated by the sorption equilibrium in the transport of the contaminant. The ordinary differential equations of the reactions is approximated by the fourth-order Runge- Kutta method. Numerical results presented in this work have shown good agreement with solutions introduced by others authors. In the simulations we observed the influence of the inclusion of non-linear reactions of biodegradation and sorption equilibrium and nonequilibrium happening simultaneously. So the study of interactions between the reactions should contribute to the modeling of contaminant transport in groundwater.
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Book chapters on the topic "Monod's kinetics"

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Gaebler, Harry J., and Hermann J. Eberl. "First Order Versus Monod Kinetics in Numerical Simulation of Biofilms in Porous Media." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99719-3_32.

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Desai, Sanjay, Rakesh Govind, and Henry Tabak. "Determination of Monod Kinetics of Toxic Compounds by Respirometry for Structure—Biodegradability Relationships." In ACS Symposium Series. American Chemical Society, 1990. http://dx.doi.org/10.1021/bk-1990-0422.ch009.

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Jamaian, Siti S., Fathul H. Zulkifli, and Kim S. Ling. "Dynamic Optimization Approach to Estimate Kinetic Parameters of Monod-Based Microalgae Growth Models." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1767-0_6.

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Gaillard, J. F., and C. Rabouille. "Using Monod Kinetics in Geochemical Models of Organic Carbon Mineralization in Deep-Sea Surficial Sediments." In Deep-Sea Food Chains and the Global Carbon Cycle. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2452-2_19.

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"Preferences, Utility Function, and Control Design of Complex Cultivation Process." In Decision Control, Management, and Support in Adaptive and Complex Systems. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2967-7.ch009.

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Razin, Michael J., Ann P. Wood, and David Paget-Brown. "Analysis of Microbial Growth Data." In Applied Microbial Physiology. Oxford University PressOxford, 1997. http://dx.doi.org/10.1093/oso/9780199635788.003.0008.

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Abstract In this chapter we describe some of the ways in which microbial growth kinetic data can be analysed. Most of our attention is focused on dynamic models containing the Monod growth function because it is this function that is most commonly employed to describe the kinetics of microbial growth. But first, in order to minimize ambiguity. we define some of the terms we employ.
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Benintendi, Renato. "Experimental Investigation of Biomass Attachment to Wastewater Reactors." In Wastewater Treatment [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94426.

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Attached mass bioreactors have extensively been adopted in the last decades when specific needs have suggested this choice. Benefits and advantages of this multi-faceted technology in wastewater treatment processing are well known, along with the kinetic and mass transfer aspects regarding their operation, essentially belonging to the mass transfer with chemical reaction theory applied to enzymatic catalysis, referred to as Languimur-Hinshelwood kinetics, notably Monod/Michaelis Menten equations. On the other hand, a consolidated literature has dealt with many aspects of the development of strain colonies forming a biofilm. However, a few works have been devoted to the systematic analysis of its physiology, within the framework of the wastewater management of complex substrates and high-loads effluents. This article presents the experimental findings of a research activity covering the junction area between microbiology and bioreactor engineering, against a multifaceted set of operating parameters directly affecting health and stability of the attached biomass. In this respect, important results have been obtained, providing guidance on the attached mass reactor start-up, steady- state operation, impact of xenobiotic substrates, role of nutrients, filaments and foam formation, as well as qualitative aspects of the post-treatment effluent.
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Peacocke, Arthur. "Chance And The Doctrine Of Creation." In Creation and The World OF Science. Oxford University PressOxford, 2004. http://dx.doi.org/10.1093/oso/9780199271696.003.0016.

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Abstract I have tried to give a fair account of one aspect-the interplay of chance and law in the life-game-of our present scientific perspective on the world and to draw out its general implications, so far without much reference to a theism which conceives of a Creator God. I have, negatively, tried to show that the deduction (of Monod for example) from this picture, that the quest for meaning for man in the cosmos is hopeless, is not warranted by the role of chance in evolution both as Monod conceived it and, even more clearly, in the form the more thermodynamic and kinetic work of Prigogine and Eigen has indicated.
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"Random coefficient differential equation models for Monod kinetics." In Conference Publications 2009. AIMS Press, 2009. http://dx.doi.org/10.3934/proc.2009.2009.719.

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Tripathi, Keshawanand, Yashdeep Srivastava, and Narendra Kumar. "Quantitative analysis of bacterial growth: Methods for measuring growth curves and kinetic parameters." In Biotechnology Lab Techniques: Culture Media, Microscopy, and Microbial Analysis. Deep Science Publishing, 2025. https://doi.org/10.70593/978-93-49307-52-0_15.

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To comprehensively investigate bacterial population dynamics, Viable cells must be inoculated into a sterile broth medium, and the culture must be carefully maintained at ideal pH, temperature, and gas composition. (Stanier et al., 1986; Atlas, 2010; Yadav et al., 2021). These controlled parameters facilitate swift cellular proliferation, enabling the monitoring of microbial growth progression through a population growth curve (Monod, 1949; Reddy et al., 2019; Tripathi et al., 2018). This curve is delineated by plotting the rise in cell numbers during the incubation period.
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Conference papers on the topic "Monod's kinetics"

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"Kinetics study of nutrients removal from synthetic wastewater using media as submerged in continuous activated sludge system." In Sustainable Processes and Clean Energy Transition. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902516-12.

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Abstract. Domestic wastewater effluents are one of the main sources of environmental contaminants such as nutrients. Wastewater has been treated with biological processes for over a century to remove contaminants. Conventional wastewater treatment plants continue to struggle to meet Malaysian discharge limits. Stringent regulation enforced by governing authorities makes it obligatory to comply with discharge guidelines to fulfill ammonia and nitrate levels. To assist the system in meeting these limits, it is recommended that a submerged attached growth Palm Oil Clinker (POC) can be incorporated into the conventional treatment system. The study was conducted in a continuous submerged attach growth conventional activated sludge which was evaluated for the treatment of wastewater (CSAR). A basket was installed in the aeration tank of the reactor to submerge (POC). Two identical reactors were operated for each reactor of study which (A) was referred to as submerged media reactor while (B) was referred to as control. The studies were carried out at various influent flow rates between 5 and 30 L/d, and constant organic load rate OLR. Parameters such as NH4-N, and NO3-N, were monitored. Generally, Ammonia and Nitrate were highly removed. At all conditions of flow rate (5-30 L/d), the maximum and minimum NH4-N removal is 92% and 85%. The experimental data were validated through well-established mathematical bio-kinetic models such as the First order model, and Monod models. The kinetic coefficients R2 of the first-order model of the substrate removal rate were 0.97 for Ammonia. The steady-state data was fitted to both models obtained at various flowrate. Monod's kinetic model was appropriate for describing experimental results in terms of microbial growth parameters. The kinetic coefficients R2 (0.984) and Ks 303 for the removal of Ammonia, respectively. While µmax 10 g/L.d for Ammonia removal respectively.
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"High Pressure Inactivation Kinetics of Escherichia Coli in Black Tiger Shrimp (Penaeus Monodon)." In International Conference on Biological, Civil and Environmental Engineering. International Institute of Chemical, Biological & Environmental Engineering, 2014. http://dx.doi.org/10.15242/iicbe.c0314129.

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Elgendy, Ahmed M. S., Alberto Pizzolato, Marco Maniglio, Claudio Geloni, Paola Panfili, and Caterina Topini. "Reactive Transport Modelling of H2 Storage in Depleted Gas Fields: An Approach to Implement Biogeochemical Reactions in a Compositional Reservoir Simulator." In SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition. SPE, 2023. http://dx.doi.org/10.2118/214434-ms.

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Abstract The demand for large scale energy storage has been increasing for the integration of highly fluctuating energy production from renewables. Depleted gas fields are among the most suitable candidates for underground hydrogen storage, with well-known high-quality reservoir petrophysical characteristics, huge storage capacities and good sealing. However, biogeochemical interactions of hydrogen with rock-brine-resident gas could lead to hydrogen degradation as it is a favoured substrate for many anaerobic microorganisms. Thus, reservoir-scale predictive tools able to simulate these complex and tightly coupled physical, chemical, and biological phenomena are necessary for better investment decisions. A novel approach to model underground hydrogen storage biogeochemical reactions in a commercial compositional reservoir simulator is presented, tested, and analyzed. The significance of this work is the inclusion of bacterial exponential growth and decay in the numerical models which is essential for a more realistic prediction of hydrogen behaviour in subsurface. This has been embedded in a well-known reservoir simulation tool, GEM unconventional and compositional reservoir simulator, frequently used in the oil and gas industry for subsurface 3D problems. First, a conceptual biogeochemical model was conceived, and the underlying reactions were identified. The reaction mechanisms allow to consider the tight coupling between biochemical and geochemical processes. Then, a set of numerical cases, based on the conceptual biogeochemical model, were simulated in batch mode using two software: PHREEQC geochemical code and GEM reservoir simulator. The cases follow a step increase in the model complexity by adding bacterial growth and decay. GEM does not support the Monod kinetics which describes the microorganism's growth; thus, a tuning of the Arrhenius equation parameters was performed to match the Monod formula over the substrate(s) concentrations of interest. Finally, the Arrhenius formulation was further customized to include bacterial exponential growth and decay by an adequate bacterial stoichiometry implementation in which the bacteria was defined as molar aqueous component. The numerical simulations proved that a properly tuned Arrhenius kinetic model may reproduce the Monod dynamics with acceptable accuracy. In addition, for the most complete and complex case (D), GEM results show a good benchmark with PHREEQC ones, attesting the fact that a properly customized Arrhenius model, integrating the kinetics of both substrates and bacteria, and being modelled with a single (or two if decay is also considered) stoichiometric reaction, is able to appropriately capture underground hydrogen storage biogeochemical reactivity. In the cases considered, results show that the geochemistry has a limited impact on the biochemical process. However, the impact depends on pure geochemical limiting factors, i.e., presence of free protons. The study recommends that the estimation of kinetic parameters of biological processes (e.g., Methanogenesis) should be prioritized in future experimental campaigns to better understand their influence on underground hydrogen storage.
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Padil, Meilana Dharma Putra, Iryanti Fatyasari Nata, et al. "Microalgae growth kinetic study with logistic and Monod models." In II INTERNATIONAL SCIENTIFIC AND PRACTICAL SYMPOSIUM “MATERIALS SCIENCE AND TECHNOLOGY” (MST-II-2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0131575.

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Maniglio, Marco, Giacomo Rivolta, Ahmed Elgendy, Paola Panfili, and Alberto Cominelli. "Evaluating the Impact of Biochemical Reactions on H2 Storage in Depleted Gas Fields." In SPE Annual Technical Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215142-ms.

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Abstract Underground Hydrogen Storage (UHS) is an emerging technology to store energy, produced by renewable sources, into subsurface porous formations. UHS efficiency in depleted gas reservoirs can be affected by H2 biochemical degradation due to interactions with rock, brine and gas. In the reservoir, subsurface microorganisms can metabolize H2 with possible hydrogen losses, H2S production, clogging and formation damage. In this work we investigate the impact of hydrogen losses due to microbial activities on UHS operations in depleted gas reservoirs lying in sandstone formations. We developed a workflow to exploit the chemical reactive transport functionalities of a commercial reservoir simulator, to model biochemical processes occurring in UHS. Kinetic chemical reaction formulation was used to replicate a Monod's type microorganism growth, using PHREEQC to tune reaction parameters by matching a 0-D process in an ideal reactor. Then, we applied the methodology to evaluate the impact of biotic reactions on UHS operations in depleted gas fields. Eventually, various sensitivities were carried out considering injection/production cycles lengths, cushion gas volumes and microbial model parameters. Benchmark against PHREEQC demonstrated that, by properly tuning the kinetic reaction model coefficients, we are capable of adequately reproduce Monod-like growth and competition of different microbial community species. Field-scale results showed that hydrogen losses due to biochemistry are limited, even though this may depend on the availability of reactants in the specific environment: in this work we focus on gas reservoirs where the molar fraction of the key nutrient, CO2, is small (&amp;lt; 2%) and the formation is a typical sandstone. Operational parameters, e.g. storage cycle length, have an impact on the biochemical dynamics and, then, on the hydrogen degradation and generation of undesired by-products. Similar considerations hold for the model microbial growth kinetic parameters: in this study they were established using available literature data for calibration, but we envisage to tune them using experimental results on specific reservoirs. The current model set-up does not account for rock-fluid geochemical interactions, which may result in mineral precipitation/dissolution affecting the concentration of substrates available for biotic reactions. Nonetheless, it can provide an estimate of hydrogen consumption during storage in depleted gas reservoirs due to microbial activities. This study is among the first attempts to evaluate the impact of hydrogen losses by the presence of in situ microbial populations during hydrogen storage in a realistic depleted gas field. The assessment was performed by implementing a novel workflow to encapsulate biochemical reactions and bacterial dynamic-growth in commercial reservoir simulators, which may be applied to estimate the efficiency and associated risks of future UHS projects.
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Schreiber, Igor, and Jan Červený. "MODELLING OF METABOLIC OSCILLATIONS IN CYANOBACTERIA." In 17th International Conference on Fundamental and Applied Aspects of Physical Chemistry. Society of Physical Chemists of Serbia, 2024. https://doi.org/10.46793/phys.chem24i.127s.

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We use the theory of reaction networks to construct a compartmental model of metabolic oscillatory dynamics observed in experiments with photosynthesizing diazotrophic cyanobacteria (Cyanothece sp.) in a flow-through photobioreactor. The experimental oscillatory behavior occurs in a population of cells with suppressed activity of their circadian clocks under constant intensity of light. In such restricting conditions the cells are still viable and display oscillations measured by their oxygen release. Such oscillations are assumed to be based solely on metabolism, have period much shorter than the circadian rhythms (about 12-17 h) and therefore have been termed ultradian cycles [1]. The model describes dynamics of component concentrations in two parts of the cell suspension: i) the solution in the reactor including bubbles of CO2 enriched air and ii) the cellular biomass. Components in the solution are nutrients (CO2, N2, O2) and extracellular products (DON), components in the biomass are represented by compartments, which are treated as pseudospecies that interact via power law chemical kinetics. The compartments include pools of the nutrients inside the cells, carbon and nitrogen stores, specific functional compartments as well as a generic functional/structural compartment. The model utilizes empirically determined biomass growth rate expressed in terms of the Monod kinetics. The rate coefficients in the power law expressions were determined by using the method of constrained stoichiometric analysis, which is a combination of stoichiometric network theory and convex linear optimization [2] and has been previously used to determine unknown kinetic parameters in oscillatory enzyme reactions [3]. The model is then used to simulate ultradian oscillations under experimental conditions and provides results closely agreeing with the experimentally observed 14-hour ultradian cycles.
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Solis-Daun, Julio, and Jesus Alvarez. "Global stabilization of a continuous tank reactor with Monod kinetics and amplitude-velocity bounded control." In 2022 UKACC 13th International Conference on Control (CONTROL). IEEE, 2022. http://dx.doi.org/10.1109/control55989.2022.9781459.

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Karlsen, Vibeke B., Gamunu Samarakoon, and Carlos Dinamarca. "A Comparative Model-Analysis on Sulphide Bio-oxidation with Different Electron Acceptors." In 63rd International Conference of Scandinavian Simulation Society, SIMS 2022, Trondheim, Norway, September 20-21, 2022. Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/ecp192014.

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Sulphide (H2S, HS- and S2-) is an undesired by-product of biogas production processes. This modelling work in Aquasim was carried out to study three parallel processes related to sulphide in AD processes: 1) H2S liquid-gas mass transfer; 2) Acid-base equilibrium; and 3) Sulphide oxidation with three different electron acceptors; nitrate, oxygen, and a biotic anode with a given potential. Multiplicative Monod (biotic processes) and Nernst-Monod kinetics (bioelectrochemical process) provide the basis for the sulphide bio-oxidation processes. At the current stage, the model can be used to study sulphide bio-oxidation and the effect of relevant parameters, including initial biomass concentration, uptake rates, temperature, and pH. The model can be improved further by implementing anaerobic microbial processes as competing reactions. With the proposed improvements, the model can be a useful tool for calculating the chemical dosage or electrode potential required for sulphide removal. These calculations can be based on both the concentration of H2S(g) in the headspace (ppm) often available at full-scale plants and the concentration of sulphide (HS-(liq)) in effluent streams from the plants.
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Skerlos, Steven J., N. Rajagopalan, Richard E. DeVor, Shiv G. Kapoor, and Robert A. Sanford. "Model of Biomass Concentration in Membrane Filtration Recycling Systems Subject to Single Substrate-Limited Growth Kinetics." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1887.

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Abstract Membrane filtration has the ability to limit microbiological growth in metalworking fluids (MWFs). To appropriately design and size a membrane filtration system for this application, the rate of microbial removal must be assessed relative to microbial population (biomass) growth. This research utilizes the Monod Equation describing biomass growth limited by a single substrate to evaluate if biomass levels can be maintained below a prescribed level in a perfectly mixed MWF system. The model for predicting biomass in the MWF system is obtained by numerical solution of a system of coupled nonlinear differential equations. The model solution permits membrane filtration design and sizing decisions based on microbial growth data specific to MWF chemistries, microbial species, and manufacturing facilities. It is revealed that the ratio of the filtration rate to the MWF volume must exceed the maximum specific growth rate of microorganisms to control biomass concentrations in the system under arbitrary initial substrate and contamination levels. The control of microbial growth in the system also requires that appropriate cleaning intervals be selected for the membrane filtration process tank. The microbial rejection coefficient, which is characteristic to a given membrane, has a dominant impact on the required cleaning interval.
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Shojaee, A., S. Ghanbari, G. Wang, and E. G. Mackay. "Integrated Modelling of Bio-Geochemical Aspects in Underground Hydrogen Storage: Implications for Reservoir Selection and Performance." In SPE Europe Energy Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/220056-ms.

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Abstract Hydrogen offers a potential replacement for conventional fossil fuels as a sustainable energy vector. Despite this promise, its large-scale storage is one of the main bottlenecks. Utilizing depleted gas reservoirs for hydrogen storage could present a viable solution. However, introduction of hydrogen into the subsurface may induce microbial and geochemical reactions, resulting in possible hydrogen loss. Therefore, understanding the microbial and geochemical risks associated with underground hydrogen storage is essential for appropriate reservoir selection. To explore the bio-geochemical behaviour of subsurface hydrogen storage, we developed a coupled numerical model using PHREEQC. This model includes both geochemical and microbial reactions, with the former assumed to be at equilibrium and the latter governed by kinetics. The model incorporates three metabolic pathways: Methanogenesis, Acetogenesis, and Sulphate Reduction modelled by the Dual-Monod approach. Inputs such as reservoir mineralogy and brine composition determine the reservoir type for geochemical reactions, while kinetic drives microbial reactions. This adaptable model enables batch simulations across various reservoir types, contributing to a comprehensive understanding of hydrogen storage dynamics in subsurface environments. This understanding may then be applied to specific reservoir systems. The preliminary findings reveal a significant interplay between microbial and geochemical reactions, underscoring the substantial impact of reservoir choice - specifically mineralogy and initial brine composition - on microbial reactions. Storage performance and hydrogen loss are particularly sensitive to these reservoir characteristics. Developing on these initial insights, a comprehensive case study was undertaken, assessing hydrogen storage performance in some depleted/operating gas reservoirs in the North Sea with specified formation mineralogy and brine compositions. Observations indicate that reservoir type substantially drives hydrogen storage performance, with variations tied to the presence of calcite, dolomite, quartz, and anhydrite, and to the initial brine composition, as well as to the activity of microbial life (kinetic). This illustrates the need for a rigorous reservoir selection process to ensure optimal storage efficacy and purity of recovered hydrogen. This study offers novel predictive insights into the microbial and geochemical dynamics within any given reservoir during underground hydrogen storage projects, thereby facilitating screening processes.
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