UC18 – National scale case
Use Case UC 18 - title
UC18 – National Scale Case
Use Case UC 18 - overview
Use Case Overview
Author / organization: Frank Meinke-Hubeny
Date: 06/07/2017
Version No.: 1.0
Belongs to use case group (if applicable): Energy System
Use Case UC 18 - description
Short Description
Integrating optimized local multi‐energy infrastructures in a national scale energy system to allow the integration of a large share of renewable energy sources.
Use Case UC 18 - details
Use Case Details
| ID | UC18 | ||
| System configuration(s) | [List of system configurations which this UC can be applied to] | ||
| Name of use case | Integrating optimized local multi‐energy infrastructures in a national scale energy system to allow the integration of a large share of renewable energy sources. | ||
| Version No. | 1.0 | ||
| Date | 06/07/2017 | ||
| Author(s) | Frank Meinke Hubeny | ||
| Changes | First version | ||
| Approval status | Work in progress | ||
| Scope | Energy systems are traditionally designed so that power energy supply meets demand on a national scale with transnational power grid interconnections and import of oil and gas. The rising share of distributed power and heat generation by renewable energy sources, local storage infrastructure and locally optimized multi‐energy systems disrupt this traditional top‐down operation and investment thinking. National scale energy system models, such as the TIMES Belgium linear optimisation model, operate on the assumption that within a defined region (e.g. the respective country) current and future energy demands are met by existing and future service technologies. Optimization happens over a mid‐to long term time horizon (e.g. decades) and on a large geographic scale. With energy services being supplied by technologies which are more and more geographically distributed, local optimisation takes on a more prominent role in the energy systems of the future. For this use case we study the impact of locally‐optimized multi‐energy infrastructures (generation, storage, distribution and end‐users consumption) on the capacity requirements and the operation of national scale infrastructure and technologies. The main question we address is to what extent multi‐energy infrastructures can be scaled up to enable a transition to a low carbon energy supply at minimum costs. |
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| Objective Function / Target Metrics | Linear optimization, least cost objective over the modelling horizon, based on central scenario assumptions (see test specification for details). | ||
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