Carmeliet

Contact

Julien Marquant room EMPA
PhD Student tel +41 58 765 6015
  email julien.marquant@empa.ch

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Profile

Julien Marquant received a Master of Science MSc in Mechanical Engineering with a Major in Energy from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 2013. His Master thesis was titled: "Multi-Objective Design and Optimisation of a Vehicle Energy System coupled with a Life Cycle Analysis". It was realized in a collaboration between LENI-EPFL and PSA Peugeot Citroën (Direction for Research, Innovation & Advanced Technologies).

In August 2014, he started his PhD project "Multi-scale Modelling and Optimisation of complex Energy Hubs networks" at the ETH Zürich (Chair of Building Physics) and at EMPA (Swiss Federal Laboratories for Materials Science and Technology - Urban Energy Systems Laboratory).


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PhD: Multi-scale Modelling and Optimisation of complex Energy Hubs networks

Summary: The aim of this PhD is to integrate a multi-scale modelling paradigm in the widely used energy hub framework for the design of urban energy systems. The multiscale dimension will facilitate design of systems that exceeds the boundaries of urban neighbourhoods and extend towards the whole city scale.


Network-level energy optimisation approaches can determine the optimal location of generation technologies within a region and the optimal layout of energy distribution networks to link them. This is a multi-scale problem as it must encompass decentralisation at the building, district, city or regional scale. However, computational limitations arise at larger spatial scales if full resolution is retained, and difficulties emerge in the quantification of different urban agglomeration levels when attempting to model network behaviour at multiple spatial scales. Nevertheless, a tractable multi-scale optimisation of a large urban area is possible using a clustered, aggregated energy hub representation.

The main objective of this research is to model and optimise the interaction of complex energy networks in order to understand the trade-off between centralised and decentralised energy systems at different urban scales. A method for multi-scale urban energy systems modelling with a hierarchical approach will be developed to facilitate this. An evaluation of the approximations necessary to make this modelling computationally feasible will then be conducted. Finally the process developed will be applied to a case study, and the outcomes analysed in the context of the Swiss Energiewende 2050.


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Publications

Conference proceedings

Marquant, J., Evins, R., Carmeliet, J. (2015) Reducing Computation Time with a Rolling Horizon Approach Applied to a MILP Formulation of Multiple Urban Energy Hub System. In: Procedia Computer Science 51, 2137-2146.

Marquant, J., Omu, A., Orehounig, K., Evins, R., Carmeliet, J. (2015) Application Of Spatial-Temporal Clustering To Facilitate Energy System Modelling. In: 14th International Conference of the International Building Performance Simulation Association (IBPSA), BS 2015, Hyderabad, India, December 7th – 9th 2015.


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