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

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

Version
1.2
Status
Approved
Created
By Shadi Shahoud, on 3/10/20 12:16 PM
Modified
By Shadi Shahoud, on 3/10/20 12:16 PM
Description
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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application/pdf; version=1.5
2019-10-16T16:54:51Z
Südmeyer, Isabelle
2019-10-16T16:54:51Z
application/pdf
2019-10-16T16:54:51Z
Südmeyer, Isabelle
2019-10-16T16:54:51Z
2019-10-16T16:54:51Z
Version 1.2
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By Shadi Shahoud, on 3/10/20 12:16 PM
Version 1.1
No Change Log
By Claudia Greceanu, on 10/17/19 1:05 PM
Version 1.0
No Change Log
By Claudia Greceanu, on 10/17/19 1:05 PM

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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