National energy system modeling for decarbonization pathways considering distribution grids

Long-term planning tools compute investment in energy technologies to reach techno-economic objectives. These tools are typically used to define decarbonization pathways with the corresponding capacities for several types of technologies. However, for most renewable-based resources that are expected to be connected in distribution grids, the typical temporal and geographical resolutions of long-term models are deemed insufficient. They cannot capture the need for dynamic flexibility and/or grid reinforcement in distribution and thus the impact on the final costs or carbon emissions. This paper assesses the integration of distribution grids in long-term energy system planning. A coupling is proposed between the long-term model POLES, which computes the technology capacities to install each year up to 2050, with the dispatch/investment model Backbone, which optimizes the operation and the repartition of investments at finer resolutions. The coupling being computationally demanding, several simplifications of Backbone are investigated to find a trade-off with accuracy. Results show that simplifying the investment options and distribution grid models can achieve a 90 % precision on investment and energy generation compared to baseline optimization, with a computational time divided by 100. Finally, comparative simulations are run with the models coupling up to 2050 for the French power system with and without considering medium voltage distribution grids in addition to the transmission one. In the latter case, minor changes occur in the capacity investments. However, operational constraints increase the power system decarbonization cost by 20 % due to distribution constraints, underlining the necessity of considering finer temporal and geographical resolutions. • Methodology for coupling long-term macroeconomic and short-term dispatch models. • Decarbonization pathways for large power systems integrating distribution grids. • Comparison of different formulations for the dispatch/investment problem. • Case study for French decarbonization pathways up to 2050. • Without considering distribution grids overall cost is at least 20 % underestimated.

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Publication Details

Journal
Energy Strategy Reviews
Published
2025-03-01
DOI
https://doi.org/10.1016/j.esr.2025.101688
Citations
3
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
2.19

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article

National energy system modeling for decarbonization pathways considering distribution grids

Vincent Debusschere, Silvana Mima, Rémy Rigo‐Mariani, Jean-Nicolas Louis et al.
3 citations
Energy Strategy Reviews
Integrated Energy Systems Optimization
2.19
article

National energy system modeling for decarbonization pathways considering distribution grids

Vincent Debusschere, Silvana Mima, Rémy Rigo‐Mariani, Jean-Nicolas Louis, Corentin Jacquier
article en
3 citations

Abstract

Long-term planning tools compute investment in energy technologies to reach techno-economic objectives. These tools are typically used to define decarbonization pathways with the corresponding capacities for several types of technologies. However, for most renewable-based resources that are expected to be connected in distribution grids, the typical temporal and geographical resolutions of long-term models are deemed insufficient. They cannot capture the need for dynamic flexibility and/or grid reinforcement in distribution and thus the impact on the final costs or carbon emissions. This paper assesses the integration of distribution grids in long-term energy system planning. A coupling is proposed between the long-term model POLES, which computes the technology capacities to install each year up to 2050, with the dispatch/investment model Backbone, which optimizes the operation and the repartition of investments at finer resolutions. The coupling being computationally demanding, several simplifications of Backbone are investigated to find a trade-off with accuracy. Results show that simplifying the investment options and distribution grid models can achieve a 90 % precision on investment and energy generation compared to baseline optimization, with a computational time divided by 100. Finally, comparative simulations are run with the models coupling up to 2050 for the French power system with and without considering medium voltage distribution grids in addition to the transmission one. In the latter case, minor changes occur in the capacity investments. However, operational constraints increase the power system decarbonization cost by 20 % due to distribution constraints, underlining the necessity of considering finer temporal and geographical resolutions. • Methodology for coupling long-term macroeconomic and short-term dispatch models. • Decarbonization pathways for large power systems integrating distribution grids. • Comparison of different formulations for the dispatch/investment problem. • Case study for French decarbonization pathways up to 2050. • Without considering distribution grids overall cost is at least 20 % underestimated.

Energy Strategy ReviewsVol. 58
Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Laboratoire d'Economie Appliquée de Grenoble (FR), VTT Technical Research Centre of Finland (FI), Université Grenoble Alpes (FR)
Academy of Finland, Teknologian Tutkimuskeskus VTT
Affordable and clean energy
Openalex Percentile: Top 13%
Integrated Energy Systems Optimization
2.19
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