Search results for "energy engineering and power technology"

Modelling Spatial Memory

2018

Among the different capabilities of animals, the formation of spatial memories is crucial for their life. Living beings able to move, constantly need to orient themselves in the environment to reach a target that might be not always visible. This chapter investigates the process of spatial memory formation as an essential ingredient for orientation in open and unstructured environments. Neural centres devoted to spatial memory and path integration were deeply investigated both in rats and different insect species like ants, bees and fruit flies. In this chapter a neural-inspired model for the formation of a spatial working memory is discussed considering some key elements of the insect neur…

Towards a methodological toolset for the psycholinguistics of translation

2021

Abstract The manuscript provides readers with a basic methodological toolset for experimental psycholinguistic studies on translation. Following a description of key methodological concepts and the rationale behind experimental designs in psycholinguistics, we discuss experimental paradigms adopted from bilingualism research, which potentially constitute a methodological foundation for studies investigating the psycholinguistics of translation. Specifically, we show that priming paradigms possess several inherent advantages which make them particularly suitable for research on translation. The manuscript critically discusses key methodological problems associated with such paradigms and ill…

Towards Neural Reusable Neuro-inspired Systems

2018

This chapter presents an overview of some key aspects of the neuro-inspired modelling previously discussed, under the new perspective of the neural reuse theory. Here it is envisaged that the excellent capabilities shown by insects with their small neuron number and relatively low brain complexity, as compared to vertebrates, could be justified if some key neural structures are re-used for different behavioural needs. The chapter recalls some examples, found in the literature for addressing specific topics and reformulates them in relation to the neural reuse theory.

High Frequency Model of PV Systems for the Evaluation of Ground Currents

2012

A high frequency model of a photovoltaic (PV) plant is developed and analysed to investigate the common mode (CM) currents circulating through the ground connections of the plant. The modelling method is based on the measurement of the impedance frequency response of photovoltaic module and on a high frequency representation of the power conversion unit. An overall lumped parameters circuit model is obtained and then implemented in PSpice. The CM leakage currents are evaluated by simulation.

Evaluation of ground currents in a PV system with high frequency modeling

2018

In this work a high frequency model of a photovoltaic (PV) plant is identified and implemented aiming to investigate the common mode (CM) currents circulating through the ground connections of the plant. From the identification of the impedance obtained by frequency response of photovoltaic module and by a suitable of the power conversion unit, an equivalent high frequency circuit representation has been developed. The lumped parameters circuit model is implemented in PSpice environment to obtain the CM leakage currents. Harmonics at frequencies multiple of the switching frequency and a strong resonance at about 12 MHz are detected.

Facilitating climate change adaptation through communication:Insights from the development of a visualization tool

2015

Climate change communication on anticipated impacts and adaptive responses is frequently presented as an effective means to facilitate implementation of adaptation to mitigate risks to residential buildings. However, it requires that communication is developed in a way that resonates with the context of the target audience, provides intelligible information and addresses perceived barriers to adaptation. In this paper we reflect upon criteria for useful climate change communication gained over a three year development process of a web-based tool – VisAdapt™ – aimed at increasing the adaptive capacity among Nordic homeowners. Based on the results from continuous user-testing and focus group …

Day-ahead forecasting for photovoltaic power using artificial neural networks ensembles

2016

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 using fetched weather forecast of the following day. Each set of tested network configuration was trained by the historical power output of the plant as a target. For each configuration, one hundred networks ensembles was averaged to give the ability to generalize a better forecast. The train…

A Battery-Free Smart Sensor Powered with RF Energy

2018

The development of Internet of Things (IoT) infrastructure and applications is stimulating advanced and innovative ideas and solutions, some of which are pushing the limits of state-of-the-art technology. The increasing demand for Wireless Sensor Network (WSN) that must be capable of collecting and sharing data wirelessly while often positioned in places hard to reach and service, motivates engineers to look for innovative energy harvesting and wireless power transfer solutions to implement battery-free sensor nodes. Due to the pervasiveness of RF (Radio Frequency) energy, RF harvesting that can reach out-of-sight places could be a key technology to wirelessly power IoT sensor devices, whic…

Wide area monitoring of sustained oscillations using double-stage mode decomposition

2018

The use of slightly asymmetrical windings for rotating electrical machines

2018

Historically, asymmetrical windings in electrical machines have been rarely used and only for specified needs, because the adoption of symmetrical configurations has always been considered the only solution during the design stage of electrical machines. The aim of this work is to demonstrate with several examples that the use of slightly asymmetrical windings can be a reasonable choice and, in certain cases, a favorable option during the machine design stage, allowing the possibility of selecting a wider range of slot/pole number combinations, without affecting the performances of the machines. More in detail, an interior permanent magnet synchronous machine equipped with a symmetrical 3-p…