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This web page provides all public deliverables (i.e. written reports which are deliverables) compiled within the SmILES project. Please use the asset manager below to get metadata information about a deliverable or  to  download it. For accessing related e.g. specification documents or data-files according to the tabular listings within the deliverables please accces those via the download areas for documents and data-files.

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If you just want to explore SmILES methodology or get access to SmILES compiled simulation project results, it's maybe easier for you to use the Shared Data and Information Platform showcase (SDIP Showcase) and either explore the methodology and results of the SmILES compiled sample projects, or access all simulation, component models and the like by using the SDIP search interface. Tutorials on the methodology can also be viewed as online video compilations of our two webinars provided at our webinar web page. Furthermore, if you want just a short overview over main results of the SmILES projects, please have a look at the 2-pager leaflet descriptions of main project results at the leaflet download area.

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D3.1 Description of Use Cases

D3.1 Description of Use Cases

Thumbnail Uploaded by Claudia Greceanu, 6/25/18 11:25 AM One of the main goals of the SmILES project is to combine the modelling and simulation expertise of five research partners ‐ AIT, DTU, EDF, KIT and VITO ‐ each with a different research focus, simulation tradition, choice of toolchain etc. Furthermore, each of the partners introduces a different system configuration, each with a particular set of possibilities and limitations. Use cases representing the individual partners’ interests (“Partner UCs”) can be expected to differ considerably. This document presents a part of the work conducted in task 1 of work package 3 of the SmILES project. It includes the adaptation of a test description procedure based on work in the H2020 ERIGrid project, the collection of partner use cases and the selection of joint use cases by identification of similarities and overlaps.
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