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The aim of this work is to evaluate how design parameters of a power pad for an electric vehicles wireless charging device have an effect on the exposure of people to electromagnetic fields. The effectiveness of magnetic field shielding method by means of conductive panels is analyzed. The shielded coreless transformer has been modelled and examined through Finite Element software. The overall system's...
This paper presents the development of forecast models for a wind farm producibility with a 24 hours horizon. The aim is to obtain accurate wind power predictions by using feedforward artificial neural networks. In particular, different forecasting models are developed and for each of them the best architecture is researched by means of sensitivity analysis, modifying the main parameters of the artificial...
The work deals with the reduction of CO2 emissions in school rooms of Politecnico di Milano, through the upgrading of lighting fixtures, in the context of the Città Studi Campus Sostenibile project. The aim is to provide an extensible intervention strategy to all the buildings of Politecnico di Milano and, more generally, to the School Construction, starting from the analysis of a limited number of...
Inductive power transfer is a near-field technology for the transmission of electric energy via oscillating magnetic fields by inductive coupling between coils. The main issues related to this technology are the large air gap between coils and the lack of any ferromagnetic core, resulting in a weak coupling between transmitter and receiver coils and large leakage flux. Loosely coupled inductive power...
This paper presents a data analysis of an islanded diesel-PV-battery system, placed in Somalia. Operation of each generator is observed, concerning the most relevant performance indicators. Analysis is carried out during the first 11 months of operation, from November 2015 to September 2016. Investigations are divided into two periods, according to a significant load variation due to the connection...
Electric vehicles are every day more and more important and diffuse in all day life. They represent a new prospective mode of transportation to address environment issues. The major drawbacks of the present electric vehicles are the long charging times and mechanical hassles with charging cables. The contactless battery charging is a challenging solution to overcome these issues. This paper deals...
In this paper an artificial neural network for photovoltaic plant energy forecasting is proposed and analyzed in terms of its sensitivity with respect to the input data sets.Furthermore, the accuracy of the method has been studied as a function of the training data sets and error definitions. The analysis is based on experimental activities carried out on a real photovoltaic power plant accompanied...
Solar photovoltaic plants power output forecasting using machine learning techniques can be of a great advantage to energy producers when they are implemented with day-ahead energy market data. In this work a model was developed using a supervised learning algorithm of multilayer perceptron feedforward artificial neural network to predict the next twenty-four hours (day-ahead) power of a solar facility...
With the rapid development in the field of solar energy, photovoltaic (PV) modules are being used in a wide range of moving applications like cars, trains, ships and a number of space applications that are subjected to dynamic partial shading. In such applications the power-voltage (P-V) characteristics of the PV module continuously changes with time. The conventional Maximum Power Point Tracking...
In the last ten years solar energy has expanded its application range from power plants to many industrial applications. The main scope of this paper is to investigate the correlation between aerial image capture altitude and potential defect identification on PV modules. For this scope, unmanned technology was employed to fly over a test laboratory in order to capture images of the modules using...
A hybrid method (PHANN — Physic Hybrid Artificial Neural Network) is adopted to enhance the energy forecast combining both the deterministic Clear Sky Solar Radiation Model (CSRM) and the stochastic Artificial Neural Network (ANN) method. The hybrid method has been employed to perform the short term forecast of the power output from different PV plants which is a very common time term in the micro...
Urban mobility is one of the toughest challenges that cities face today together with the environmental, social and economic sustainability. In this context, many activities promote the incremental improvement in fuel efficiency and vehicle emissions control, promoting also the migration from fossil-based to renewable-based vehicles. The paper presents the project of a sustainable University Campus,...
Solar energy is one of the most popular kinds of renewable energy sources. The efficiency of the photovoltaic (PV) system depends on many factors. One of them is the maximum power point tracker (MPPT) method implemented in the control unit. In practice, PV generators are often partially shaded or dynamically shaded by many kinds of objects. In these conditions it is difficult to find the maximum power...
This work proposes an optimization method for the management of a Battery Energy Storage System (BESS) integrated in an islanded Micro-Grid, including Renewable Energy Systems (RESs) and generators burning fossil fuels. The optimized control of the battery State of Charge (SOC) allows to get the BESS available as much as possible to support the RES power production, hence minimizing the use of fossil...
In these years the energy production by renewable sources is becoming very important and the photovoltaic (PV) energy seems to be the main renewable source, widely available and easily exploitable. In this context it is necessary to find correct tools to optimize their energy production. This paper presents a new analytical method to estimate the optimal size of a grid connected PV plant linked up...
The goal of this work is to present and discuss two methods to effectively represent the MTL with a reduced number of conductors in case of groups of wires shorted together and/or grounded. Reducing criteria are applied to the MTL cells that represent the 2×25 kV-50 Hz AC high-speed railway electrification system, also including the high voltage grid that supply the Electrical Substation. The obtained...
The goal of this work is to present and discuss two methods to effectively represent the MTL modelling the 2×25 kV–50 Hz AC high speed railway system with a reduced number of conductors. The obtained models are used to evaluate the EM induced disturbances on the track circuits caused by trains harmonic current injection and the numerical results are reported and discussed.
The paper reports some experimental measurement results concerning energy consumptions and Power Quality in lighting. Therefore, the power consumptions and harmonic absorptions of several types of lamps are analyzed. The recorded power consumptions put in evidence the different lamps impact related to the used luminaire technologies. Moreover the recorded harmonic absorptions show an interesting characterization...
The High Speed/High Capacity railway lines uses the 2×25 kV − 50Hz power supply system that is supplied at high-voltage by dedicated lines that can be placed in close proximity to the railway line. The power system adopted for High Speed railway lines includes a lot of sources of disturbance and inject harmonic components in signaling circuits. This paper presents a detailed model for the railway...
The High Speed/High Capacity railway lines uses the 2×25kV-50Hz power supply system that is supplied at high-voltage by dedicated lines that can be placed in close proximity to the railway line. The power system adopted for HS railway lines includes a lot of harmonic sources. Resonance phenomena can cause harmonics amplification with consequent problems as voltages distortion, interference problems...
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