Automotive engineers and researchers have proposed different topologies for series-parallel hybrid electric vehicles (SP-HEVs). The Toyota Hybrid System (THS) is the best known SP-HEV-based vehicle, but alternative solutions, such as variable transmission (EVT), been also proposed. An efficient comparison between these solutions a key point to estimate added value of each topology. This paper presents application optimal control two architectures efficiency assessment purposes. dynamic...

A way to improve existing hybrid vehicles is by globally optimizing the design of their components in relation actual use. This paper proposes a global optimal method for power-split electric (PS-HEVs) equipped with an variable transmission (EVT). genetic algorithm used optimize system parameters. The process includes discrete dynamic programming (DDP) energy management. optimization focuses on minimizing fuel consumption and number battery cells. Pareto fronts are depicted compared...

Photovoltaic water pumping systems (PVWPS) are a promising solution to improve domestic access in low-income rural areas. It is challenging, however, make them more affordable for the local communities. We develop here comparative methodology assess relevant features of both widely employed PVWPS architecture with tank storage, and hardly used battery bank instead storage. The quantitative comparison carried out through techno-economic optimization, goal minimizing life cycle cost...

Numerous researches about hybrid electrical vehicles (HEVs) deal with topologies, technologies, sizing and control. These aspects allow reducing transportation costs environmental impacts. This study focuses on the of machine (EM) HEV, taking into account its surroundings: system, driving cycle an optimal energy management. In this study, parallel HEV is case. a classical design process, scaling factor usually applied efficiency map model to fix standard power EM. The maximum torque are...

Regulations will soon require seaports to provide Cold Ironing (CI) for ships at berth reduce greenhouse gas emissions. Implementing CI usually involves the design of a renewable-based seaport microgrid. In this article, we propose methodology optimizing size and energy management microgrids, including CI, minimize costs CO2 The is applied microgrid Martinique island. Novel contributions work are use solely linear programming optimization, load curve determination single container berth,...

High critical temperature superconductors (HTS) bring a lot of opportunities for SMES (Superconducting Magnetic Energy Storage). The large current densities under very high fields and the mechanical strength IBAD route ReBaCuO coated conductors are favorable characteristics. Electricity storage still is an issue in general interesting solution pulse supplies especially if its energy density increases. record SC magnet 13.4 kJ/kg today. We study how to enhance this value. One main limitations...

Fuel consumption of a hybrid electrical vehicle (HEV) depends on the driving cycle (i.e. use vehicle), powertrain components and energy management. The paper proposes an optimal component sizing process taking into account entire system. An ma nagement is used in order to minimize fuel cycle. This optimization approach HEV uses Radial Basis Function models which allow fast constrained optimization.

State-of-the-art Modelica tools for modelling and simulating multi-physical systems have reached certain maturity among the building physics community. Hence, simulation is widely used control, sizing performance assessment of energy systems. However, serious efficiency issues arise large-scale models. This article proposes a practical application co-simulation methods on detailed district The aim this study to assess scalability through functional mock-up interfaces model. In particular, we...

Nowadays, urban energy projects are becoming more complex in order to meet operational, economic and environmental challenges. This requires using decision support tools pre-study phases easily design adapt the system model several times stakeholders requirements. paper presents OMEGAlpes, a linear optimization tool designed generate multi-carrier models. Its purpose is assist developing district by integrating operation pre-studies phases. OMEGAlpes open-source written Python. A use example...

This paper is about system simulation and co-simulation issues such as interoperability. The Functional Mock-up Interface (FMI <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> ) which proposed an interoperability standard has been studied in the field of building energy systems to make effective different models with heterogeneous time constants. A chaining algorithm based on scalar value exchanges presented. Our experimental (PREDIS...

Purpose Multiphysical models are often useful for the design of electrical devices such as machines. In this way, modeling thermal, magnetic and phenomena by using an equivalent circuit approach is used in sizing problems. The coupling with other difficult to take into account, partly because it adds complexity process. paper proposes automatic modelling thermal aspects from approach, its computation gradients, selectivity on variables. Then, discusses various physical models, optimization...

In recent years, co-simulation has become an increasingly industrial tool to simulate Cyber Physical Systems including multi-physics and control, like smart electric grids, since it allows involve different modeling tools within the same temporal simulation. The challenge now is integrate in a single calculation scheme very numerous intensely inter-connected models, do without any loss model accuracy. This will avoid neglecting fine phenomena or moving away from basic principle of...

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Hybrid electrical vehicles involve two sources of energy, usually gasoline and electricity. The energy management determines the power sharing between internal combustion engine machine (EM). It is highly dependent on driving cycle (i.e. use vehicle). In this c ontext, optimal sizing EM determined by: cycle, power-train characteristics ratios physical limitations e.g. maximum torque available) management. key idea work to environment in a global multi-objective optimization process taking...

Heat pumps are an important asset to decarbonize the heating sector. To maximize their economic and environmental benefits ease integration into low-voltage grid, complex optimization problems formulated. Solving these can require very high computing times. In this work, we study clustering methods select representative periods for heat optimal operation in order reduce Two algorithms considered: k-means k-medoids. A challenge is assess quality of those since cannot solve problem over whole...

The development of complex multi-domain and multiphysic systems, such as Smart Electric Grids, have given rise to new challenges in the simulation domain.These concern capability couple multiple domain-specific simulators, FMI standard is an answer this.But they also scalability accuracy within heterogenous system.We propose implement here concept a Matryoshka FMU, i.e. first its kind FMU compliant with version 2.0 standard.It encapsulates DACCOSIM -our distributed parallel master...

Purpose This paper aims to present two mathematical models solve the Energy Management problem of a building microgrid (MG). In particular, it proposes deterministic mixed integer linear programming (MILP) and non-linear (NLP) formulations. focuses on modelling process optimization performances for both approaches regarding optimal operation near-zero energy buildings connected an electric MG with 24-h time horizon. Design/methodology/approach A general architecture is detailed, involving...