We are going to use their performance curves to help predict the KWE that would be required to achieve a

given load (kWR). For example, if chilled water enters the above chiller at 12.5 °C and leaves at 6.9 °C and

the flow rate is 9 L/s then the KWR will be approximately 211kW which belongs to the bin (210,240] which

has a mean COP of approximately 11. We can then estimate the Electrical Energy consumed (KWE) based

on this kWR and predicted COP. Again, note that these calculations depend on the performance curve

that differs from one chiller to another. You should therefore create two separate Python functions to

estimate KWE, one

for each of the Q block chillers. Both functions will take a flow rate and a temperature difference and will

return the estimated KWE. These two functions will use the performance curve data for their respective Q

block chillers. This performance curve data should be pre-computed (via a function) and stored in a variable

for each chiller (rather than recomputing the performance curves ever time one of these estimate KWE

functions is called).