PEPR TASE - HyMES

Project background

Cities consume two-thirds of the world's primary energy and emit 70% of the world's carbon. Today, over 50% of the world's population lives in urban areas, and this proportion is expected to rise to 70% by 2050. Specific action is therefore required to increase the energy efficiency of urban energy systems and the proportion of renewable energies. In this respect, multi-energy systems and networks are seen as promising technologies, as they enable coupling between different energy vectors (electricity, heat) and better management of the intermittency of renewable energies. Because of their complexity, the increased integration of these systems in cities requires models capable of encompassing the diversity of energy carriers and components, as well as dealing with different scales and dynamics.

Project objective and relevance

The complexity of multi-energy systems and networks is characterized by: different time dynamics depending on the energy vectors, non-linearities whose conventional treatment limits the real representation of physical phenomena, limited access to certain system parameters (demand and production), the need to take into account certain uncertainties in system description... In the HyMES project, hybrid modeling is understood as the combination of physical models and data-based models at several model levels and in different forms: data models assisted by physical models, estimation of physical model parameters by learning, chaining of models of different natures and cosimulation...

Approach

To this end, the project will explore the very principles of hybrid modeling, while investigating the relevance and performance of different model hybridization solutions, depending on the scale involved, as well as the changes in scale required to study complex energy systems. The scales considered range from energy conversion or storage technologies, through their association within the distribution networks of the various energy carriers (themselves considered in the modeling), to the multiple interactions between networks via a set of coupling technologies. The spatial scale studied corresponds to the minimum scale required to achieve the desired complexity on a set of distribution networks (set of neighborhoods, industrial activity zones, etc.). Temporal dynamics will also be taken into account, depending on the modeling objectives (e.g. sizing, control), the technologies to be modeled (e.g. storage dynamics) and the differences between the dynamics associated with each vector (e.g. electrical networks vs. thermal networks).

Expected results

The result of this work will be the development of a multi-energy network reference model (so far non-existent in the scientific community). This model will be documented in terms of the composition of the case study (technologies, systems, networks), the qualified data set used and the hybrid modeling solutions chosen. In addition, this reference model will be tested for its relevance in assessing the effects of integrating an emerging technology into multi-energy networks. The technology chosen is that of new photovoltaic panels, whose system-scale modeling will be developed using a hybrid approach where appropriate.

Academic and industrial partners from France and abroad

GEPEA UMR 6144 – CNRS, IMT Atlantique, Nantes

CEA/DRT/LITEN and CEA/DES/ISAS, Grenoble et Saclay

Laplace UMR CNRS 5213, INP-ENSEEIHT, Toulouse

ISIR UMR 7222 – CNRS, Sorbonne Université, Paris

IES CNRS - UMR 5214, Université de Montpellier, Montpellier

PROMES CNRS UPR-852, Université de Perpignan Via Domitia, Perpignan

G2ELAB, UMR 5269, Université de Grenoble (CNRS - Grenoble-INP - UGA), Grenoble

Next steps

1. Qualification of candidate problems for hybrid modeling
2. Study of hybridization strategies
3. Problems of scale change and coupling
4. Reference model for multi-energy systems and networks

Financial backers' requirements