Case 01
Choosing the pump against the working day
In April 2024, two pump designs were competing for the next industrial product programme. The commercial team favoured the design with the higher peak efficiency on its curve. Our application review described a different problem: the intended duty moved between three operating conditions during a twelve-hour reference day. A peak measured elsewhere on the curve did not tell us which design would use less electrical energy while providing those same required conditions.
I funded a ten-week comparison costing C$1.4 million. Test specialists established matched flow and head requirements at each point and measured electrical input using the agreed method. The reference schedule assigned six hours to the first point, four to the second and two to the third. Design A drew 12.4,17.6 and 24.1 kilowatts respectively. Design B drew 11.2,16.9 and 25.0 kilowatts. B was worse at the third point, a fact the product recommendation needed to retain.
Multiplying each input by its scheduled hours gave 193.0 kilowatt-hours for A and 184.8 for B: an 8.2 kilowatt-hour difference over the defined reference day. These were calculated duty totals using measured points, not an annual customer saving. A changed schedule could alter the comparison, and the experiment did not represent every installation. We chose B for further product development because the stated application weighted its stronger conditions more heavily.
The commercial sponsor objected that a lower peak figure would make the headline specification harder to sell. I accepted that communication cost and asked the application team to explain the relevant duty instead of replacing one selective claim with another. The C$1.4 million study cost remained separate from a modelled energy difference. We did not multiply the result across the installed population to manufacture a financial return.
Next time I would require the duty assumptions before approving the initial comparison brief. The test team could execute either brief accurately; leadership had to ensure it was answering the selection question the customer actually faced. A technically sound measurement at the wrong operating point can still support a commercially poor choice.