Worst-point control

District heating network, part 7: configure worst-point control for optimal pump regulation

Overview ▶ 0:07

District heating network for configuring worst-point control
Installing a controlled pump with worst-point control for more efficient pump regulation

This tutorial demonstrates how to install a more efficient pump control. In the previous tutorials, a pump with a constant pressure increase was used. Here, a controlled pump is used instead, which regulates on a worst point.

Installing a controlled pump ▶ 0:40

Replacing the constant pump with a controlled pump in the system editor
Replacement: remove the constant-head pump and insert a controlled pump
  1. Open the energy plant and remove the current pump (with constant head, delta-p-c).
  2. Insert a pump with controlled head and reconnect it.

Controller settings ▶ 1:08

Worst-point control with 0.6 bar pressure difference and selection of all network points
Controller settings: worst-point control on 0.6 bar pressure difference with all network points

In the settings of the controlled pump:

  1. Select worst-point control as the controller.
  2. Set the pressure difference that is to be maintained at the worst point slightly higher than the maximum pressure loss of the transfer stations. With a maximum transfer-station pressure loss of 0.5 bar, 0.6 bar is chosen, for example, to always guarantee a positive pressure difference across every transfer station.
  3. Under Worst point, select the points to be considered. In the simplest case: all points in the network — the simulation then automatically determines the point with the lowest pressure difference at every time step.

Important: A worst point must always be selected, otherwise the system is flagged as invalid.

Steady-state calculation and pump sizing ▶ 2:27

Steady-state calculation and pump sizing for the controlled pump
Steady-state calculation with unchanged pressure loss and re-sizing of the controlled pump
  1. Calculate the network in steady state — the pressure loss (e.g. 1.6 bar at a 15 Kelvin spread) has not changed.
  2. Under Results > Pump sizing, re-size the pump. Since a controlled pump is now installed, a matching manufacturer data set must be assigned.
  3. Select a suitable pump from the list and assign it.

Setting the worst point from steady-state results ▶ 3:12

Targeted selection of the worst point from the steady-state results
Alternative: set a specific worst point from the steady-state calculation results

As an alternative to the automatic worst point, a specific worst point can also be set from the steady-state results.

Simulation and results ▶ 3:46

Simulation over 14 days with worst-point control
Simulation with worst-point control: results after 14 days of simulation time

After starting the simulation (e.g. over 14 days), the results show:

Checking the temperature difference ▶ 4:00

Temperature difference mostly at 15 K with small overshoots
Temperature difference: 15 K is largely maintained — small overshoots due to slower control

With the simple transfer stations, it is important to check the temperature difference. The desired 15 Kelvin is largely maintained — small overshoots are attributable to the somewhat slower pump control and are usually uncritical.

Pump diagram ▶ 4:36

Pump diagram with quadratic curve due to worst-point control
Pump diagram: quadratic curve due to worst-point control instead of constant pressure increase

The pump diagram shows the difference from constant pressure increase: with worst-point control, the head follows a quadratic curve. The control follows the system curve, which results in significantly higher efficiency and, above all, a lower electricity demand of the pump.

Head profile ▶ 5:15

Head profile: variable head instead of constant 1.6 bar
Variable head: the pump adapts to demand — lower electricity demand compared to constant head

The head profile makes the difference clear: instead of a constant 1.6 bar, the pump moves with the network demand and settles lower when less heat is needed. In the evaluation, this shows up as a lower electricity demand.

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