### The Three Reservoir Problem

Introduction
This article discusses how you can solve the Three Reservoir Problem with Excel. First, we develop the governing equations by applying Bernoulli's Equation and the Continuity Equation. We then explore how these equations can be solved in Excel.

If you just want the tutorial spreadsheet, click here, but I encourage you to read the rest of the article so you understand how the spreadsheet was developed.  Read on for the Three Reservoir Problem solution.

Theory
Three reservoirs at different elevations are connected by a pipe network.  The common junction of the piping network is subject to an external demand Qj of 0.01 m3/s.  We will develop the theory required to calculate the flowrates in each pipe (Q1, Q2 and Q3), the head at the junction (Hj) and determine whether liquid is flowing into or out of each reservoir

Assuming that the liquid level in each reservoir is constant and the surface is open to atmosphere, the Bernoulli Equation for Reservoir i (where i=1, 2 and 3) is

 Equation 1
where zi is the elevation, fi is the friction factor, Li and Di are the length and diameter of the pipe connecting the reservoir to the junction, Vi is the liquid velocity and g is the gravitational constant.

But the volumetric flowrate Qi and the cross sectional area Ai of the pipe are

 Equation 2
 Equation 3

Substituting Equations 2 and 3 into Equation 1 to eliminate Vi gives

 Equation 4
To determine whether liquid is flowing into or out of a reservoir, we need to preserve the sign on the Qi^2 term by writing Equation 4 thus

 Equation 5
If Qi is positive, liquid is flowing out of the reservoir, and if Qi is negative, liquid is flowing into the reservoir.

We only need a few more relationships to completely specify the system.  The friction factor fi is given by the Haaland approximation to the Colebrook-White Equation,

where Rei is the Reynolds Number,

Additionally, the sum of the flowrates from each reservoir is equal to the external demand

Excel Implementation
Moving all terms in Equation 5 to the right-hand side gives

 Equation 6
However, if we don't know the exact values of the flowrates in each pipeline (Qi) or the head at the junction (Hj) then we can define an error for each pipe.

 Equation 7
We'll use Excel's Solver add-in to find the values of Q1, Q2, Q3 and Hj that minimize the total error...

 Equation 8
...while keeping the total flowrate at the junction equal to the external demand.

 Equation 9
Step1. Specify fixed parameters (such as densities, viscosities, reservoir heights, pipe diameters and roughnesses etc)

Step 2. Set initial guess values for the flowrates in each pipe

Step 3. Specify calculated values

Step 4. Specify an initial guess value for the head at the junction, and the sum of all flowrates in each pipe (as given by Equation 9).  The External Demand will act as the constraint for Excel's Solver

Step 5.  Specify the errors for each pipeline (as given by Equation 7), and the total error (as given by Equation 8).

We can now use Excel's Solver Add-in to find the flowrates (Q1, Q2 and Q3) and head at the junction (Hj) that minimize the total error (as set in Step 5) subject to the flowrate constraint (as set in Step 4).

Step 7. Make the appropriate changes in the Solver window such that you minimise the total error by varying the flowrates and the junction head while maintaining the external demand at a set value (for this example, I've set the external demand to 0.01 m3/s).  Additionally, set the solving method to GRG Nonlinear.

Step 8.  Click Solve.  After dismissing the following window, you'll find that the flowrates in each pipeline, and the junction head have changed.  Bear in mind that positive flowrates indicate flow out of a reservoir, while negative flowrates indicate liquid flow into a reservoir.

Step 9. We're not finished yet! Check that the Total Error specified in Step 5 is a very small number, and the External Demand (in Step 5) is equal to the value specified in Step 7.