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Bacteria growing in a batch reactor utilize a soluble food source (substrate) as depictedin Fig.P28.16. The up take of the substrate is represented by a logistic model with Michaelis-Menten limitation. Death of the bacteria produces detritus which is subsequently converted to the substrate by hydrolysis. In addition, the bacteria also excrete some substrate directly. Death, hydrolysis, and excretion are all simulated as first-order reactions. Mass balances can be written as
where X, C and
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EBK NUMERICAL METHODS FOR ENGINEERS
- 23. Consider a simple economy with just two industries: farming and manufacturing. Farming consumes 1/2 of the food and 1/3 of the manufactured goods. Manufacturing consumes 1/2 of the food and 2/3 of the manufactured goods. Assuming the economy is closed and in equilibrium, find the relative outputs of the farming and manufacturing industries.arrow_forwardExercise # 3 A water-drive oil reservoir has the following data: Time (days) Average pwoc (psia) W. (MM RB ) 2740 365 2500 3.200 730 2290 11.00 1095 2109 23.40 1460 1949 40.600 2000 1809 ????? Estimate the cumulative water influx at 2000 days using Schilthuis' steady-state model.arrow_forwardWhat is the stability of equilibrium points of A and B? Is the energy of B higher than A?arrow_forward
- Topic: First Order ODEsA room is injected with a constant amount of helium as part of a tracer gas test, wherein concentrated amount of inert gas is injected at negligible flow rate. The room, with a total volume of 200 m3 has an initial helium concentration of 0.00 μg/m3. Cross-ventilation rate, which is the rate at which natural air enters and leaves the room, was measured at 75 m3/hr. If helium is injected into the room at a rate of 100 μg/hr, determine the helium concentration in the room as a function of t. Assume that external helium concentration is also 0.00.arrow_forwardSome populations initially grow exponentially but eventually level off. Equations of the formP (t) = M/(1 + Ae-kt)where M, A, and k are positive constants, are called logistic equations andare often used to model such populations. Here M is called the carryingcapacity and represents the maximum population size that can be supported,and A =(M−P0 )/Powhere P0 is the initial population.(a) Compute lim t→∞P (t). Explain why your answer is to be expected. (b) Compute limM→∞P (t). (Note that A is defined in terms of M.) What kindof function is your result?arrow_forwardConsider a two-period, small open economy with endowments on tradable and nontradable goods. The representative household has lifetime utility U(C,Cy,Cr2, Cy2)= log C, + log Cy + b log C, + b log Cya Endowments are Qy = Qv2 = 5 and Q, = 2.5, Q = 7.5. Initial NFA is zero. The world %3D %3D interest rate is r' = 0.04 and the discount factor is b = 1/1.04= 0.9615. a. Compute equilibrium consumption of both goods, the trade balance, and the real exchange rate in both periods. b. Suppose that after the household chooses how much to borrow/save in period 0, the world interest rate rises to r' = 0.10. Recompute the equilibrium variables for period 2, and compute the difference between lifetime utility between this scenario and the scenario in part 1.arrow_forward
- The spread of a contagious disease through a population involves intricate interactions from the level of populations down to the level of individual cells and viruses. However, it is still possible to lean interesting and useful information from relatively simple models. The SIR model of an Epidemic ? Classic model introduced in 1927 ? Simple model that provide interesting and useful information ? Population divided in three groups: S ? Susceptible ? Infected Recovered R S (t) + I(t) + R(t) = 1 dS dt aSI dI dt - aSIBI dR dt = BIarrow_forwardHow does the discrete logistic growth model (Ricker) vary from that of deterministic form? Are there differences in the predictions as the input parameters change? K= 300 r= 0.5 N= 5 Time= 50arrow_forwardConsider one application in which either a first order or second order IVP is formed to find a solution in a model problem.arrow_forward
- The Different Effects of Excitation and Inhibition in Neural Circuit (series #1)| Neural circuit consists of polysynaptic neural network, combination of excitatory and inhibitory neurons. This exercise helps to understand the effects of excitation and inhibition in the nervous system. Our body is dynamically active under physiology condition. As a result, there are basal levels of activity such as 70 beats/min of heart rate at resting condition. Either increased or decreased activities are relative to the baseline. The effects of excitation are easily understood---one neuron activates another neuron. However, when inhibition is introduced into circuits, analysis become more complicated. In fact, the numbers of inhibitory neurons in the circuit determine the final effect of the circuit, which can be excitation or inhibition, on the target organ or area. We assume all excitatory and inhibitory neurons are glutamate and GABA neurons, respectively, in this practice sheet. The glutamate and…arrow_forwardFor the following two-population system, first describe the type of x- and y-populations involved (exponential or logistic) and the nature of their interaction-competition, cooperation, or predation. Then find and characterize the system's critical points (as to type and stability). Determine what nonzero x- and y-populations can coexist. Finally, construct a phase plane portrait that enables you to describe the long-term behavior of the two populations in terms of their initial populations x(0) and y(0). dx dt dy dt=xy-4y = 5xy-10x CICCES Describe the type of x- and y-populations involved. Select the correct choice below. OA. The populations involved are naturally declining populations in competition. OB. The populations involved are naturally growing populations in cooperation. OC. The populations involved are naturally declining populations in cooperation. OD. The populations involved are naturally growing populations in competition.arrow_forward
- Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning