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PEC12-25 CAPEC-PROCESS Industrial Consortium ... - DTU Orbit

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4.4.2 SustainPro<br />

SustainPro is an EXCEL based software, which provides options for retrofit analysis and<br />

performance analysis of a given process. A new version is now available with more<br />

automated steps. The objective is to perform sustainable process design through SustainPro.<br />

As highlighted in Fig 4.5b, the inputs to SustainPro are the mass and the energy balance<br />

data that can be collected either from the plant or from process simulations. To perform the<br />

retrofit analysis, SustainPro also requires as input, several cost related data (the prices for<br />

utilities, the prices for chemicals, etc.). SustainPro is able to read the mass and the energy<br />

balance from an EXCEL file generated by a commercial simulator. The EXCEL interface<br />

guides the user through the steps of the work-flow (solution steps). After applying all the<br />

steps SustainPro gives as output for the retrofit analysis, a new design alternative<br />

suggestion for improving the process being investigated. When the software is used for<br />

performance analysis, the output provides the calculated values of the sustainability metrics<br />

and the safety indices. As it can be seen from Fig 4.5b, the two options can be combined,<br />

which means that they complement each other. After applying the retrofit analysis, the<br />

performance analysis is performed and compared with the base case design.<br />

Figure 4.5b: Overview of the main features of SustainPro<br />

4.4.3 Virtual Product-Process Design Lab<br />

The idea behind the virtual product-process design lab is the following: instead of doing the<br />

experiments needed to search for a product and its process to manufacture it, the<br />

engineer/scientist performs virtual experiments, through the vPPD-lab software. The<br />

software therefore contains a large knowledge base of data (of chemicals, of solvents, of<br />

plants, of microcapsule devices, etc.); a large collection of models (models for property<br />

prediction, models for controlled release, models for mixing, etc.); of design algorithms<br />

(methods for formulation design, methods for molecule design, methods for polymer<br />

design, methods for process flowsheet synthesis, etc); other tools (property prediction<br />

software; model generation software; equipment design software; design of experiments<br />

software, etc.). All of the above are organized through a framework for efficient<br />

management of the complexity. Figure 4.4c gives an overview of the main features of the<br />

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