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showing 10 items of 1967 documents

A review of thermochemical energy storage systems for power grid support

2020

Power systems in the future are expected to be characterized by an increasing penetration of renewable energy sources systems. To achieve the ambitious goals of the “clean energy transition”, energy storage is a key factor, needed in power system design and operation as well as power-to-heat, allowing more flexibility linking the power networks and the heating/cooling demands. Thermochemical systems coupled to power-to-heat are receiving an increasing attention due to their better performance in comparison with sensible and latent heat storage technologies, in particular, in terms of storage time dynamics and energy density. In this work, a comprehensive review of the state of art of theore…

Computer science020209 energyPower-to-heat02 engineering and technologyThermal energy storagelcsh:TechnologyEnergy storagelcsh:ChemistryElectric power systemLoad managementVariable renewable energy0202 electrical engineering electronic engineering information engineeringGeneral Materials SciencePower grid supportProcess engineeringThermochemical storageInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer ProcessesFlexibility (engineering)Settore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industrylcsh:TProcess Chemistry and TechnologyGeneral Engineering021001 nanoscience & nanotechnologylcsh:QC1-999Computer Science ApplicationsRenewable energythermochemical storage sorption heat storage power-to-heat power grid supportlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040System integration0210 nano-technologybusinesslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsSorption heat storage
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Effect of Demand Side Management on the Operation of PV-Integrated Distribution Systems

2020

In this new era of high electrical energy dependency, electrical energy must be abundant and reliable, thus smart grids are conducted to deliver load demands. Hence, smart grids are implemented alongside distributed generation of renewable energies to increase the reliability and controllability of the grid, but, with the very volatile nature of the Distributed Generation (DG), Demand Side Management (DSM) helps monitor and control the load shape of the consumed power. The interaction of DSM with the grid provides a wide range of mutual benefits to the user, the utility and the market. DSM methodologies such as Conservation Voltage Reduction (CVR) and Direct Load Control (DLC) collaborate i…

Computer science020209 energyReliability (computer networking)conservation voltage reductiondistribution systems02 engineering and technologylcsh:TechnologyReduction (complexity)lcsh:Chemistry0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceInstrumentationlcsh:QH301-705.5distribution systemFluid Flow and Transfer Processesdistributed generationdemand side managementVoltage reductionbusiness.industrylcsh:TProcess Chemistry and Technology020208 electrical & electronic engineeringPhotovoltaic systemGeneral Engineeringdirect load controlGridlcsh:QC1-999Computer Science ApplicationsReliability engineeringRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSmart gridlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Distributed generationbusinesslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsApplied Sciences
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How neurophysiological measures can be used to enhance the evaluation of remote tower solutions

2019

New solutions in operational environments are often, among objective measurements, evaluated by using subjective assessment and judgment from experts. Anyhow, it has been demonstrated that subjective measures suffer from poor resolution due to a high intra and inter-operator variability. Also, performance measures, if available, could provide just partial information, since an operator could achieve the same performance but experiencing a different workload. In this study, we aimed to demonstrate: (i) the higher resolution of neurophysiological measures in comparison to subjective ones; and (ii) how the simultaneous employment of neurophysiological measures and behavioral ones could allow a…

Computer scienceApplied psychologyJudgementElectroencephalographyasSWLDA050105 experimental psychologylcsh:RC321-571Arousal03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineasSWLDA; ECG; EEG; eye blink; GSR; machine learning; mental workload; remote tower air traffic managementRemote Tower Air Traffic Managementmedicine0501 psychology and cognitive sciencesGSREEGlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryOriginal ResearchMental Workloadmedicine.diagnostic_testECG[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesHuman NeuroscienceWorkloadNeurophysiologyAir traffic controlPsychiatry and Mental healthNeuropsychology and Physiological Psychologymachine learningNeurologyDesign processSkin conductance030217 neurology & neurosurgeryEye blink
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The scientific payload on-board the HERMES-TP and HERMES-SP CubeSat missions

2021

HERMES (High Energy Rapid Modular Ensemble of Satellites) Technological and Scientific pathfinder is a space borne mission based on a LEO constellation of nano-satellites. The 3U CubeSat buses host new miniaturized detectors to probe the temporal emission of bright high-energy transients such as Gamma-Ray Bursts (GRBs). Fast transient localization, in a field of view of several steradians and with arcmin-level accuracy, is gained by comparing time delays among the same event detection epochs occurred on at least 3 nano-satellites. With a launch date in 2022, HERMES transient monitoring represents a keystone capability to complement the next generation of gravitational wave experiments. In t…

Computer scienceAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesField of viewAstrophysics01 natural sciencesAstrophysics - Instrumentation and MethodsSettore FIS/05 - Astronomia E Astrofisica0103 physical sciencesCubeSatTransient (computer programming)Aerospace engineeringInstrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysicsConstellationHigh Energy Astrophysical Phenomena (astro-ph.HE)010308 nuclear & particles physicsbusiness.industryGravitational wavePayloadAstrophysics::Instrumentation and Methods for AstrophysicsSteradianSatelliteAstrophysics - Instrumentation and Methods for AstrophysicsbusinessAstrophysics - High Energy Astrophysical PhenomenaSpace Telescopes and Instrumentation 2020: Ultraviolet to Gamma Ray
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Unmanned Aerial Vehicle-Based Non Destructive Diagnostics

2018

The paper proposes a cloud platform for analyzing the radiometric infrared videos uploaded by drones which patrol large photovoltaic plants. Thanks to artificial vision algorithms, it does not require any human support to select and associate the framed PV modules to the corresponding ones in the topology of the photovoltaic plant. The algorithm implements an innovative diagnostic protocol, which evaluates the thermal state of the photovoltaic module, whichever the environmental conditions are. The data automatically computed and collected in a multimedia database provide the O&M technicians with significant information to monitor the ageing of each module of the photovoltaic plant. The pro…

Computer scienceComputer Networks and CommunicationsMultimedia databaseReal-time computingEnergy Engineering and Power TechnologyCloud computingPV modulesdigital image processingIndustrial and Manufacturing EngineeringUploadSoftwareComputer aided diagnostics; digital image processing; drone based monitoring; PV cells; PV modules; thermography; Artificial Intelligence; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Energy Engineering and Power Technology; Renewable Energy Sustainability and the Environment; Industrial and Manufacturing Engineering; InstrumentationPV moduleArtificial IntelligenceComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSInstrumentation (computer programming)Renewable EnergyProtocol (object-oriented programming)InstrumentationSustainability and the Environmentbusiness.industryPV cellsRenewable Energy Sustainability and the EnvironmentPV cellPhotovoltaic systemComputer Science Applications1707 Computer Vision and Pattern RecognitionDronedrone based monitoringthermographySettore ING-IND/31 - ElettrotecnicaComputer Networks and CommunicationComputer aided diagnosticsbusinesscomputer aided diagnostic
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A decentralized load control architecture for smart energy consumption in small islands

2020

Abstract In this paper we propose the adoption of Overgrid, a new decentralized load control architecture, for balancing the energy production variations introduced with the adoption of renewable sources, facilitating and improving the smart energy retrofit. The system is presented and applied for managing the aggregated daily load profile of a community of domestic end-users in the island of Lampedusa, Italy, exploiting the load profiles gathered in a real measurement campaign. The Overgrid Demand Response (DR) architecture is used for managing the residential flexible loads, estimating the aggregated power demand without any centralized server and creating a virtual “community” of smart b…

Computer scienceDistributed computingGeography Planning and Development0211 other engineering and technologiesOverlay networkTransportationSmart grid02 engineering and technology010501 environmental sciences01 natural sciencesLoad profileDemand responseLoad shifting021108 energy0105 earth and related environmental sciencesCivil and Structural EngineeringBuilding automationRenewable Energy Sustainability and the Environmentbusiness.industryLoad curtailingLoad curtailing; Load shifting; Overlay network; Smart gridEnergy consumptionRenewable energySmart gridElectricity generationbusinessLoad shiftingSustainable Cities and Society
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MCD: Overcoming the Data Download Bottleneck in Data Centers

2013

The data download problem in data centers describes the increasingly common task of coordinated loading of identical data to a large number of nodes. Data download is seen as a significant problem in exascale HPC applications. Uncoor-dinated reading from a central file server creates contention at the file server and its network interconnect. We propose and evaluation a reliable multicast based approach to solve the data download problem. The MCD system builds a logical multi-rooted tree based on the physical network topology and uses the logical view for a two-phase approach. In the first phase, the data is multicasted to all nodes. In the second phase, the logical tree is used for an effi…

Computer scienceDownloadbusiness.industryDistributed computingcomputer.file_formatNetwork topologyBottleneckFile serverPacket lossServerReliable multicastbusinessBitTorrentcomputerComputer network2013 IEEE Eighth International Conference on Networking, Architecture and Storage
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Dynamics-based action recognition for motor intention prediction

2020

Abstract Powered lower-limb prostheses presented in the previous chapter require a natural and easy-to-use interface for communicating amputee’s motor intention in order to select the appropriate motor program in a given context or simply to commute from an active (powered) to a passive mode of functioning. To be accepted by amputees, such an interface should (1) not put additional cognitive load on the end-user, (2) be reliable and (3) be minimally invasive. In this chapter we present one possible solution for achieving that goal: a robust method for autonomously detecting and recognizing motor intents from a wearable sensor network mounted on a sound leg. The sensor network provides a rea…

Computer scienceHuman–computer interactionInterface (computing)Feature extractionWearable computerMotor programContext (language use)AccelerometerWireless sensor networkCognitive load
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A preliminary investigation of the effect of contact pressure on the accuracy of heart rate monitoring by wearable PPG wrist band

2019

The increase of safety and health monitor of workers has become a crucial objective to prevent excessive physical workloads, injuries, accidents and errors. Heart rate (HR) is a very important physiological indicator which could properly describe the workers’ physical status. Recently, wearable photoplethysmographic (PPG) wristband trackers have been utilized to measure HR without hindering normal gesture of workers. However, the quality of PPG signals is highly affected by human physical motions, resulting in a poor reliable HR estimation. Specifically, during different activities and gestures, PPG sensor contact pressures may have an impact on the quality of the heart rate signal. To appr…

Computer sciencePhotoplethysmography wearable sensor PPG sensor contact pressureWearable computerSettore ING-IND/34 - Bioingegneria IndustrialeWristSignalLoad cellSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchinemedicine.anatomical_structureHeart rate monitoringHeart ratemedicineSettore ING-IND/12 - Misure Meccaniche E TermicheHeart rate variabilitysense organsContact pressureBiomedical engineering
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Aalto-1, multi-payload CubeSat: Design, integration and launch

2021

The design, integration, testing, and launch of the first Finnish satellite Aalto-1 is briefly presented in this paper. Aalto-1, a three-unit CubeSat, launched into Sun-synchronous polar orbit at an altitude of approximately 500 km, is operational since June 2017. It carries three experimental payloads: Aalto Spectral Imager (AaSI), Radiation Monitor (RADMON), and Electrostatic Plasma Brake (EPB). AaSI is a hyperspectral imager in visible and near-infrared (NIR) wavelength bands, RADMON is an energetic particle detector and EPB is a de-orbiting technology demonstration payload. The platform was designed to accommodate multiple payloads while ensuring sufficient data, power, radio, mechanica…

Computer sciencePolar orbitFOS: Physical sciencesAerospace Engineering02 engineering and technologyDesign strategy01 natural sciences7. Clean energyPhysics - Space Physicsmittauslaitteet0203 mechanical engineering0103 physical sciencesBrakeAalto-1CubeSatGround segmentAerospace engineeringInstrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysicsavaruustekniikkaAalto spectral imagerRadiation monitortutkimussatelliitit020301 aerospace & aeronauticsRadiationSpacecraftbusiness.industryPayloadCubeSatElectrostatic plasma brakesäteilySpace Physics (physics.space-ph)satelliititHyperspectralSatelliteAstrophysics - Instrumentation and Methods for Astrophysicsbusinesskosminen säteily
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