Brine Tank Optimization Problem

In summary, the differential equation dQ/dt = 1 - Q/250 models the situation described in the problem, where Q(t) is the amount of salt in the tank at time t in seconds.
  • #1
tornzaer
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Homework Statement



A tank is initially filled with 1000 litres of brine, containing 0.15 kg of salt per litre. Fresh brine containing 0.25 kg of salt per litre runs into the tank at the rate of 4 litres per second, and the mixture (kept uniform by stirring) runs out at the same rate. Show that if Q (in kg) is the amount of salt in the tank at the time t (in seconds) then d/dt Q(t) = 1 - ((Q(t))/(250))

Homework Equations



I know I have to take the derivative since this is an optimization problem and it includes rates, but nothing else.

The Attempt at a Solution



I know that the there are 1000 litres of brine and 0.15 kg of salt per litre. the 0.15 kg is already in. In addition, 0.25 kg of salt per litre runs into the tank at a rate of 4 litres per second. This is where I'm having trouble. How do I formulate an equation in relation to the one given?

Please help.
 
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  • #2
Some of what you know is not true. You do not have to take a derivative, nor is this an optimization problem. Your job in this problem is to show that the differential equation dQ/dt = 1 - Q/250 models the situation described in your problem.

Q(t) = quantity of salt in kg at time t.
It is not true that there is .15 kg at time t = 0. You need to write an equation that expresses the amount of salt coming into the tank per minute and the amount going out per second. For example, a brine solution of .25 kg of salt comes into the tank at a rate of 4 liters/sec. This means that salt is coming into the tank at a rate of .25 kg/L*4 L/sec = 1 kg/sec.
 
  • #3
Alright. How would I go about setting up the equation then? I'm still not clear on that.
 
  • #4
What quantity of salt is coming in per second? What quantity of salt is going out per second. The rate in - the rate out is dQ/dt. If more is coming in than going out, dQ/dt > 0. If more is going out than coming in, dQ/dt < 0.
 

1. What is a brine tank optimization problem?

A brine tank optimization problem refers to the task of finding the most efficient way to use a brine tank in a water softening system. This involves determining the optimal amount and timing of brine solution to be added to the tank for the regeneration of ion exchange resin beads.

2. Why is brine tank optimization important?

Brine tank optimization is important because it can lead to significant cost savings and improved efficiency in water softening systems. By finding the most efficient way to use the brine tank, less salt and water is wasted, resulting in lower operating costs and a reduced environmental impact.

3. What factors are considered in brine tank optimization?

There are several factors that are typically considered in brine tank optimization, including the water hardness level, water usage patterns, salt dosage, brine tank size, and regeneration frequency. Other factors may also be taken into account depending on the specific system and its needs.

4. How is brine tank optimization typically performed?

Brine tank optimization can be performed using various methods, including mathematical models, computer simulations, and physical testing. These methods allow for the analysis and evaluation of different parameters and scenarios to find the most efficient solution for a particular system.

5. What are the potential challenges in brine tank optimization?

One of the main challenges in brine tank optimization is balancing the trade-offs between efficiency and effectiveness. While a system may be more efficient in terms of salt and water usage, it may not be as effective in fully regenerating the resin beads. Other challenges may include system complexity, data availability, and the need for continuous monitoring and adjustment.

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