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Performance Curve

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.


performance curve curves for two packouts with payload 2 to 8degrees 2017 02
Figure: Performance curves for two shipper packouts, winter (green) and summer (red). The curve displays how long the shipper packout can keep the payload between 2 and 8°C, if it is exposed to a constant ambient temperature.



Download SmartCAE Whitepaper Performance Curves

Lane Risk

The software SmartCAE Lane Risk helps you answer one of the fundamental questions in temperature controlled logistics: what is the probability that a shipper system fails to keep the temperature-sensitive payload within a designated temperature range on a specific lane?

Lane Risk



Profiles & Forecast

The software SmartCAE Temperature Profiles enables you to profile the temperature conditions of your global shipping lanes. Simply feed in waypoints and residence time, and the software generates lane profiles from its access to historical and 7-day forecast temperature data of thousands of weather stations worldwide. The profiles provide essential information to choose the right solution for your lane, and tailor your simulations and cold chamber tests to realistic lane conditions.

Temperature Profiles


Thermal Packaging

The software SmartCAE Thermal Packaging helps you determine the optimal design for your passive shippers. You are enabled to create a virtual prototype and instantly test it against arbitrary ambient temperature profiles. With our software you will find the best solution for your cold chain challenges faster and more cost-effectively.

Thermal Packaging