A Cloud Computing Application for the Supercritical Carbon Dioxide Extraction Using Coffee Grounds Silverskin

This work presents a case study for the application of physical systems modelling techniques on cloud computing infrastructures. The described physical system is the mi-cronized silverskin lipids extraction using supercritical carbon dioxide on laboratory scale equipment. The experimental data of the extractions are modeled using a simplified dual phase kinetic model. The model parameters are further developed until their constituent and constant terms in order to transform the purely regressive kinetic model to a predictive one. The model parameters have been refitted through a non-linear regression using the cloud computing infrastructure purposely created for this case study. The core numerical library used to construct the cloud computing approach is the object-oriented BzzMath library for C++. Cloud computing is a very promising research field and its application to traditional solutions may provide a numerical revolution in the chemical industry as well as academic researches.