H. Ramenah

Toward a prediction of the photovoltaic based power production from Experimental Thermal modeling

Power production based solar cells are sensitive to temperature. In real conditions, the effective Photovoltaic (PV) module operating temperature is affected by randomly varying of solar radiation, ambient temperature and wind speed. Thus, the energy balance of photovoltaic (PV) cells and the associated power production is mainly modeled based on climate variables. This paper investigates the experimental influence and relationship of the temperature and solar radiation changing effects on the system performance in terms of power production of PV cells. An experimental approach leading to an expression models the energy transfer processes and electrical energy production for one specific site is studied. The proposed gait is reproducible and suitable on different site. Our study is based on experimental results set up of 6 PV (1 kW) multicrystallin silicon panels under existing conditions and not indoor conditions.

VHDL-AMS electro-thermal modeling of a lithium-ion battery

Li-ion rechargeable batteries present an useful energy, low battery effect, and slow Self-discharge loss of charge when not in use. In this paper, we describe a VHDL-AMS model describing coupled electrical and thermal behaviors of a Li-Ion cell. This model relies on the experimental extraction of real characteristic parameters by using an efficient and low-cost test bench. Therefore, it allows to predict the realistic voltage variations by taking into account the state of charge and heating of the Li-ion cell, in order to design a battery system according the required capacity and electric power for the current electrical applications.

Power energy output prediction of small wind urban for decision making

In this paper, we investigate the performance of a micro-wind turbine in a complex through the power output prediction for decision making. The power output at one particular location can be approximated by the Weibull function. The considered model is tested and validated at an urban landscape location in Metz City, France, where anemometry is positioned at adjacent to the turbine and the instrumentation is specific to its surrounding location including record wind turbine data thanks to real time wireless communications. Technical data including wind speed and output power were analyzed and reported allowing to provide a reliable estimation of the wind energy potential in an urban location upon five years experimental data.

A Li-Ion cell testbench for fast characterization and modeling

To develop efficient Li-ion powered systems, Cell testing and charactering are required to evaluate cell performance. However, testbenches are really expensive and test procedures provided are not the ones expected. In this article, we propose a testbench design based on Instrumentation software and hardware co-design. An efficient charging and discharging hardware has been proposed and developed by using a remotable laboratory supply as main virtual component. Software mechanisms are explained where the test procedures are detailed. in a second part. Acquisition constraints for measuring equipment are also specified in order to obtain relevant and valid data.

Li-ion cell electro-thermal model based on Kalman filtering

The cell management is as much important as the cell charge method. In order to manage effectively cell, a good knowledge of cell behaviors is required. Behaviors - electrical and thermal - are captured by the cell model. Cell modeling is very common in literature, but parameters extraction is not precisely explained. This paper will deal at first with an electro-thermal model based on extended Kalman filtering (EKF), which can allow to extract parameters, and in a second time with a fast and accurate measurement procedure.

Temperature effects on the power production based photovoltaic cells

Like all semiconductor devices, solar cells are sensitive to temperature. In actual installations the cell temperature rises leading to a total efficiency reduction, which cannot be overlooked. This paper investigates the influence of the temperature and solar radiation changing effects on the system performance. Our study is based on experimental results set up of 6 PV multicrystallin silicon panels under existing conditions and not indoor conditions.