Public Deliverables

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.

Note, that the asset manager provides different views on list of deliverables and deliverables (e.g. see the button on top of the asset manager). The three-dot menu on the right side of an item in a list view will allow different operations on the item  (e.g. downloading).

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.

Documents and Media

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D5.5 Scaling-up and replication potential for local energy storage solutions

D5.5 Scaling-up and replication potential for local energy storage solutions

Thumbnail Uploaded by Claudia Greceanu, 10/17/19 1:05 PM The SmILES project aims at improving the knowledge on the integration of electrical and thermal storages in (smart) local multi-energy systems. In this deliverable we zoom in the large-scale rollout of smart storage technologies and infrastructures to a larger scale energy system. To take a first step towards simulating a large-scale energy scenario, a SmILES sandbox model based on the TIMES model framework was developed as a highly detailed representation of the Belgian residential sector. By focusing on the residential sector of the larger energy system, the optimisation of local energy systems can be analysed at a higher granularity, including the testing of scenarios and their respective impact on the evolution and utilization of generation technologies, storage technologies and self-consumption versus reliance on external energy sources, namely the low voltage grid.
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