Advanced Control Algorithms for the Management of Micro Cogeneration Systems in the context of

Smart Energy Grids

Planed funding: ACA- MODES project co-financed by “INTERREG V Upper Rhine”.Thesis supervisors: Monica Siroux, Jürg Bichsel Contact: monica.siroux@insa-strasbourg.frWorkplace: INSA Strasbourg ICUBELaboratory: ICube - UMR 7357Team: GCE Startup scheduled: September 1, 2019

ACA-MODES project in a few words:

The ACA-MODES project aims to develop Advanced Control Algorithms for the Management of Decentralised Energy Systems and focus on multi-energy systems (i.e. heat/cold, electricity, different primary energy sources). ACA-MODES is developed in order to associate complementary expertise and create synergies to lead to the development of innovations, and establish a new research consortium in the field of Energy and Building in Upper Rhine region. French, German and Swiss scientists are involved in this project. The ACA-MODES project is developed as part of the INTERREG V Upper Rhine program and the Offensive Science initiative. It is co-financed in the context of this initiative by the Grand Est Region in France, the Baden-Württemberg and Rhineland-Palatinate Länder in Germany.

PhD Subject:

To facilitate the energy transition, it is necessary to develop sustainable energy technologies. The micro combined heat and power is such technology, which produces simultaneously decentralized thermal and electrical energy at low power (electrical power lower than 50 kWel). This technology recovers the “fatal heat” losses considered as “heat waste” produced in thermodynamics cycles for mechanic energy production. Micro-CHP technology offers significant benefits: reduced primary energy consumptions, reduced CO2 emissions, avoidance of central plant and network construction. In the context of Smart Energy Grids,

Micro-CHP technology can contribute to the transition of the traditionally centralized energy supply system towards a more sustainable system. The PhD focuses on Advanced Control Algorithms for the Management of Micro Cogeneration Systems in the context of Smart Energy Grids. A method based on Advanced Control Algorithms will be proposed for the management of the power production and consumption in buildings with connection to electric car. Particular interest will be paid on multi energy systems, distributed energy systems (and micro grids), control strategies for grid reactive prosumer technologies and flexibility options in a regional energy system with a high share of renewables for both electricity and heat/cold production. Numerical models, mathematical methods (e.g. optimizer, parameter identification tools, adaptive / self-learning models etc.) and simulation environments for coupled hybrid energy systems will be studied. Based on the cross-validated simulation models, a system simulation will be conducted with the aim to find promising hybrid energy systems in order to fulfill the Europe 2030 targets on climate change and to define optimal control strategy for decentralized hybrid energy systems.

Candidate's skills:

Specific knowledge: Programming in C, C++, Matlab,. Basic knowledge of advanced automatic strategies and multi-physical modeling.

Desired education: Master or Engineer (Bac + 5) with a specialization in Energy Engineering, Electrical Engineering or Automatics Engineering.

Desired personal skills: Motivation for innovation and the research in international context. Good writing skills, ability to analyze and summaries problems and adaptability .

References:

A1. M. BARBU, S. MEY-CLOUTIER M. SIROUX, G. DARIE Dynamic modelling and sensibility analysis of a hybrid photovoltaic-thermal, Proceeding 7TH European Conference on Renewable Energy Systems, Madrid, 2019

A2. L. OUHSAINE, M. SIROUX, M. El GANAOUI, A. MIMET Multi-Objective Optimization of Hybrid PVT, IEEE Proceeding International Conference on Green Energy for Sustainable Development, Asian Institute of Technology Karon 2018

A3. L. OUHSAINE, M. SIROUX, M. El GANAOUI, A. MIMET, Performance analysis of solar PV and Thermal hybrid active wall integrated with PCM, Proceeding International Conference on Materials and Energy ICOME San Sebastien, 2018

A4. J.B. BOUVENOT, M. SIROUX, B. LATOUR, B. FLAMENT, Dwellings electrical and DHW load profiles generators development for µCHP systems using RES coupled to buildings applications, Energy Procedia, Vol. 78, p 1919-1924, 2015

A5. J.B. BOUVENOT, B. ANDLAUER, P. STABAT, D. MARCHIO, B. FLAMENT, B. LATOUR, M. SIROUX, Gas Stirling engine μCHP boiler experimental data driven model for building energy simulation, Energy and Buildings, Vol. 84, p 117-13, 2014

A6. O. SOW, M. SIROUX, B. DESMET Energetic and exergetic analysis of a triple-effect distiller driven by solar energy, Desalination, Vol. 174, Issue 3, p 277-286, 2005