Main content:
Planning, monitoring and visualising energy systems with INSEL
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INSEL as a modular simulation environment: Connection of the loads with the heating centre in INSEL.
© HfT Stuttgart zafh.net
INSEL is a software for understanding, planning, monitoring and visualising energy systems. For this purpose it provides state-of-the-art functions as blocks, for example for simulating meteorological data as well as electrical and thermal energy components, which can be linked to provide a solution to a specific problem. The Hochschule für Technik Stuttgart is supplementing the tool with further blocks as part of the EnEff:Wärme project "Simulation-based optimisation of energy efficient heating networks". The planning and optimisation results will be incorporated in the implementation of the integrated Energy District concept for Ludwigsburg-Sonnenberg.
Technology summary
| Software type | Analysis, Balancing/Optimising |
|---|---|
| Term of project | Oktober 2011 - September 2014 |
| Identification code | INSEL, Matlab |
| Available from |
www.insel.eu |
| Key aspects |
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Project description
Project context
The Hochschule für Technik Stuttgart is supplementing the tool with further blocks as part of the EnEff:Wärme project "Simulation-based optimisation of energy efficient heating networks". The planning and optimisation results will be incorporated in the implementation of the integrated Energy District concept for Ludwigsburg-Sonnenberg. One of the aims of the EnEff:Wärme project is to further develop the validated library elements for INSEL. The intention is to simulate, analyse and optimise the operation of the local heating network for the SWLB partner. The project is scheduled to last three years.
What’s it about?
The network is being continually expanded. Its behaviour is therefore being depicted by means of a thermo-hydraulic simulation. The generation and load systems are also being simulated. The operation will then be optimised through a coupled simulation with Matlab.
What has been achieved so far?
Static optimisation algorithms such as genetic algorithms have been successfully developed. The optimiser (Matlab) and the simulator (INSEL) have already been coupled. The optimum parameters for operating the generation systems in Sonnenberg have been calculated.
Project partners
The LEA Energy Agency is providing the function description for the control system.
Next steps, Milestones, Outlook
The optimisation results will be presented to the LEA Agency in spring 2013. It will then be discussed whether to transfer the results to the network’s control system. The optimiser will be linked with the dynamic network model via a coupled simulation that will also be used to simulate other network topologies during the course of the next 12 months.
INSEL information and reference website
