1,720,994 research outputs found
Thermal modeling and analysis of a power ball grid array in system-in-package technology
Full text linkIn power electronics, system-in-package (SiP) designs require an approach for the development of an accurate thermal analysis which is different from traditional models. In fact, the power consumption alone of a SiP is not sufficient information for estimating the maximum temperature of the package or the temperature difference of the case when multiple power transistors are working in different configurations. In this paper, we propose a simple methodology to model the thermal behavior of a SiP circuit with eight power transistors and one integrated circuit (IC) driver in a fine pitch plastic ball grid array (BGA) package. The models are described for (i) the heat generation of the active components and (ii) the thermal analysis of the BGA package under test. The validation of the proposed thermal models was carried out through a comparison of the simulation results with experimental data, which were obtained from the thermal analysis by InfraRed thermography. The absolute estimation error was less than 2 ∘C for a maximum temperature of the BGA within 100 ∘C, and less than 4.5 ∘C for temperatures greater than 100 ∘C
Study and Implementation of Compact Modeling Techniques for the Energy Analysis and Optimization of Complex Systems
Full text linkL'abstract è presente nell'allegato / the abstract is in the attachmen
Forecasting the grid power demand of charging stations from EV drivers’ attitude
Full text linkIn recent years there has been a significant increase in the production of electric vehicles (EVs), in the global strive to reduce polluting gases produced by conventional fossil-fuel driven vehicles. Therefore, many optimization algorithms have been proposed for EV mobility and the charging of battery packs in the stations connected to power grids. However, there are situations in which experimental results are not sufficient, and simulations are needed.
In this work, we address the effects of the charge demands of an EV fleet on the grid by considering the attitude of EV drivers, and especially their range anxiety. This influences their decision of when to recharge the battery pack. To this end, an agent-based model has been developed for the simulation of a power grid considering different scenarios based mainly on the state of charge (SOC) of battery packs at the time of the charging requests of EVs at service stations. The results indicate that in general a high battery SOC at the beginning of charging increases the probability of reaching higher power peaks on the grid
Solar energy potential assessment: An overview and a fast modeling approach with application to Italy
Full text linkExponential growth of photovoltaic installations in several countries represents a strong motivation for investments in renewable energies. This paper provides an overview on current methodologies for assessing the photovoltaic potential, with the aim of supporting the selection of optimal sites in a given region of interest. With a special focus on the Italian context, an additional goal of this work is to show that, fast and accurate estimates of the power of new photovoltaic installs can be obtained by detecting available surface areas (e.g. by cadastral maps or image analysis). Basic average solar radiation and temperature for some specific areas can be indeed obtained from the available solar maps reported in the geo‐databases of the Joint Research Centre of the European Commission (JRC). On the basis of such data, as an alternative to a query in the on‐line Photovoltaic Geographical Information System ‐ PVGIS ‐ (the web‐based reference tool for the performance assessment of photovoltaic plants in Europe and Africa), the use of simple and appropriate polynomials is proven to be suitable for a quick analysis of solar energy potential application
A cost-benefit analysis of batteries for Internet-of-Things applications
No full textThe proliferation of wireless IoT devices has caused
the energy cost to become an additional figure of merit in
designing low-cost and ultra-low-power sensors. This article
presents a methodology for a cost-benefit analysis of the battery subsystem for IoT devices. In particular, it analyzes the
costs/service time tradeoff of two primary (i.e., non-rechargeable)
batteries of different chemistries: the Energizer E91 alkaline
cell (zinc-manganese dioxide, Zn/MnO2) and the Energizer L91
lithium cell (lithium/iron disulfide, Li/FeS2). Although the latter
shows a high and very stable performance in terms of total
capacity, at different constant and pulse discharge currents, the
former shows a significant capacity recovery during the rest times
between consecutive pulses. Consequently, the total service time
of the E91 differs for different continuous and pulse currents.
Results show that the overall cost of a specific choice of a battery
needs to be assessed by considering its service time for a give
A nonlinear two-parameter model for the spatial analysis of solar irradiation
No full textNowadays, energy estimation in various application areas is a major research topic. Additionally, various machine learning techniques, especially regression methods and artificial neural networks, have been developed in recent decades to improve the accuracy of such estimates.
This article presents a nonlinear compact regression model for estimating the yearly solar irradiation in Africa and Europe by considering only the latitude and mean temperature of the locations as input parameters. The definition of the values of the coefficients is based on the least-square method constrained by the maximum absolute error. The results of 16 conventional regression models, using the same number of predictors, were compared with the result of the model proposed. Our model minimizes the root mean square error by at least 15%
Energy analysis methods and tools for modelling and Optimizing monitoring tyre systems
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