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13 December 2016, 10.30 am CET
Webinar Title: Using the Virtual Cold Chain for Cost-Effective Lane Risk Analysis
Using the Virtual Cold Chain for Cost-Effective Lane Risk Analysis
The virtual cold chain offers a cost and time effective way to analyze the thermal performance of passive shipper systems on arbitrary lanes. We achieve this by combining an accurate thermodynamic simulation of the shipper, including payload, with real-life temperature data of actual lanes. Having assembled and verified a virtual model of a shipper, its thermal performance under any realistic temperature conditions can be simulated, thus minimizing the number of expensive cold chamber testings.
This can be extended to a full thermal lane risk analysis by studying the shipper performance on a specific lane by using historical weather data along the lane. In a case study we demonstrate how this analysis can help quantify the risk of shipper failure and lead to a more economic balancing between thermal risk and total costs.
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13 December 2016, 10.30 am CET
Jan Walbrecker, Senior Software Developer, Smart CAE
Dr. Jan Walbrecker received his Graduate Diploma in Science at Victoria University of Wellington, New Zealand, and his Diploma in Geophysics at Ludwig-Maximilians-University Munich, Germany, studying exploration techniques and thermal processes of Earth. He went on to complete his PhD in applied and environmental geophysics at ETH Zurich, Switzerland, mainly concentrating on developing and improving magnetic resonance imaging techniques for groundwater exploration. As a postdoctoral researcher, he engaged in research projects at Stanford University, US, extending his research on geophysical processes involving multiscale numerical modeling and simulation. Having moved on to Germany, he consulted on industrial R&D projects in various sectors, including biotechnology, pharma, consumer industry, and thermal engineering, all involving software development, efficient numerical modeling, and user interface design. Today Jan is working as software developer at SmartCAE Stefan Braun in Munich, Germany, developing and constantly improving software to simulate the thermal evolution of passive shipping systems used in food and pharma cold chain.
SmartCAE is specialised in the development of fast and easy-to-use simulation software for thermal packaging. Their product SmartCAE Thermal packaging have the following benefits and features:
• Calculation of transient temperatures of thermal packaging
• Any number of layers and materials
• PCM material in walls and cold packs
• Time depended outside temperature
• Time depended surface heat flux from solar radiation
• Radiation heat transfer at surfaces
• Calculation of the weight
• Reusable Data objects, helps to build a library of wall components, thermal packs and thermal cycles
• Short computing time and interactive use
• Ease of use by user-tailored graphical user interface