The software SmartCAE Performance Curve allows you to determine a shipper’s performance curve, the characteristic thermal footprint of a passive shipper system. The performance curve shows how long a shipper keeps a payload within a specified temperature range as function of constant ambient temperature. It provides a well-defined reference to compare the thermal performance of different shipper systems. The shipper performance curve characterizes the thermal performance of a specific combination of passive shipper and temperature-sensitive payload. It provides a lane-independent reference for comparing the thermal performance of passive shipper systems.
Such performance curves have been and can be determined experimentally in cold labs, but that is a very time-consuming and expensive process. A single performance curve, such as the one shown in the example figure, takes at least 3 months experimental time in a cold lab.
In contrast determining such a curve using software simulation, is a matter of minutes or a few hours, depending on the complexity of the shipper. To generate a performance curve, the software uses an accurate virtual model of the shipper system and exposes it to a custom defined range of ambient temperatures. Integrated thermal simulation then determines the time until the shipper fails to maintain the payload within the specified temperature range for each ambient temperature. From the resulting performance curve the ambient temperature at which the shipper system performs best, the shipper’s so called “sweet spot”, can be determined. Comparing the performance curve for different shipper systems helps to find the optimal solution for shipping your temperature controlled goods.
The performance curve characterizes a particular combination of shipper and payload. If a single component of the shipper system is exchanged the performance curve has to be determined from scratch. This means that even if the shipper geometry is left unchanged, but for example only the payload is modified, or the initial temperature of the cooling bricks is varied e.g. from -5°C to -10°C, the performance curve has to be determined again. This makes the determination of meaningful performance curves for various configurations and variants by experiment practically not feasible, using a software driven-approach makes it easy, fast and affordable to determine the performance curve even for a large number of variants.