Summary
In the energy market, uncertainty shocks such as price fluctuations and policy changes often occur, resulting in top-down negative effects to energy consumers. To promote a more robust, efficient and sustainable European energy economy, the MoCEGS project proposes a multi-level top-down energy planning approach incorporating data-driven process integration, process network analysis and chemometrics as core components. MoCEGS project aims to optimize energy trading, improve system circularity, mitigate uncertainty shocks, and exploit chemical utilization via a unique energy planning framework. The difficulty of developing such a modelling framework is the necessary computational resources and the multidisciplinary expertise involved. The MoCEGS project is planned with high-performance computational facilities and multi-disciplinary training, which also includes a secondment to a different European country. The advantage of proposed approach is that computational time is reduced and also enables high data-resolution. This approach also converts the traditionally linear economy consideration to circular economy consideration via multi-level process integration. The ultimate goal is to link collaborative minds of cross-disciplinary researchers in developing an integrative energy planning framework that will be widely-used to promote energy circularity, address epistemic uncertainty and achieve regional sustainability.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101064585 |
| Start date: | 01-10-2022 |
| End date: | 30-09-2024 |
| Total budget - Public funding: | - 203 464,00 Euro |
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Original description
In the energy market, uncertainty shocks such as price fluctuations and policy changes often occur, resulting in top-down negative effects to energy consumers. To promote a more robust, efficient and sustainable European energy economy, the MoCEGS project proposes a multi-level top-down energy planning approach incorporating data-driven process integration, process network analysis and chemometrics as core components. MoCEGS project aims to optimize energy trading, improve system circularity, mitigate uncertainty shocks, and exploit chemical utilization via a unique energy planning framework. The difficulty of developing such a modelling framework is the necessary computational resources and the multidisciplinary expertise involved. The MoCEGS project is planned with high-performance computational facilities and multi-disciplinary training, which also includes a secondment to a different European country. The advantage of proposed approach is that computational time is reduced and also enables high data-resolution. This approach also converts the traditionally linear economy consideration to circular economy consideration via multi-level process integration. The ultimate goal is to link collaborative minds of cross-disciplinary researchers in developing an integrative energy planning framework that will be widely-used to promote energy circularity, address epistemic uncertainty and achieve regional sustainability.Status
SIGNEDCall topic
HORIZON-MSCA-2021-PF-01-01Update Date
09-02-2023
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