Search results for "mathematical model."

showing 10 items of 343 documents

Modelling within-canopy heat exchanges of green roofing

2013

Settore ING-IND/11 - Fisica Tecnica AmbientaleGreen roofmathematical modelingthermal exchangeplant canopy
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Urban Energy Hubs Economic Optimization and Environmental Comparison in Italy and Vietnam

2018

This paper aims to perform the minimization of the yearly energy supply cost from the main electricity and natural gas grids related to an energy district, considering the installation of different equipments. The case study refers to energy consumption of a medium density urban district and involves the exploitation of different energy sources and devices (photovoltaic systems, electrical energy storage, heat pumps and cogenerators). The analysis of the district energy supply is accomplished through an energy hub model. After a cost analysis related to the considered energy systems, a MILP algorithm was used for the optimization of a cost function and the simulation of various scenarios. M…

Settore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryPhotovoltaic systemContext (language use)Energy consumptionEnvironmental economicsSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaResistance heating Mathematical model Optimization Heat pumps Economics Natural gas Photovoltaic systemsNatural gasEnvironmental scienceEnergy supplyElectricityEnergy sourcebusinessEnergy (signal processing)
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STUDIO DI UN AMMORTIZZATORE ELETTROMAGNETICO A RECUPERO DI ENERGIA

2013

Questo lavoro ha come obiettivo principale lo studio teorico e con supporto di software F.E.M. di un dispositivo che consenta recupero energetico da una sospensione automobilistica. In sostituzione allo smorzatore viscoso, che dissipa l’energia cinetica del veicolo a seguito dell’attraversamento di strade sconnesse o ostacoli più marcati, si è usato uno smorzatore elettromagnetico che svolga le funzioni dello smorzatore viscoso consentendo un recupero di energia elettrica. Lo smorzatore elettromagnetico è di tipo a magneti permanenti e il suo funzionamento si basa sul fenomeno dell’induzione elettromagnetica. Il modello matematico descrive il funzionamento dello smorzatore, restituendo i va…

Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineMain objective of this work is the theoretical study and support of FEM software of a device that allows for energy recovery from an automotive suspension. In replacing the viscous damper which dissipates the kinetic energy of the vehicle due to rough roads or obstacles more marked an electromagnetic damper is used that performs the functions of the viscous damper allowing a recovery of electricity. The damper is of the electromagnetic type with permanent magnets and its operation is based on the phenomenon of electromagnetic induction. The mathematical model describes the operation of the damper restoring the values of the electrical and mechanical magnitudes as a function of the relative speed between the rod and the stator. Energy recovery has been estimated considering an electric minicar that transits on a bumpy road. The recovered power has a total value of about 250W.
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Apparato di commutazione

2012

La presente invenzione si riferisce ad un apparato di commutazione per il controllo e l'impostazione della configurazione circuitale dei pannelli di un modulo fotovoltaico.

Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSettore ING-IND/31 - ElettrotecnicaRiconfigurazione di sistemi fotovoltaicipartial shading reconfigurable photovoltaic array irradiance electrical mismatch optimization reconfiguration algorithm mathematical model TCT SP interconnection dynamic array monitoring solar cell switching matrix MPPT
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Robust Discrete-Time Lateral Control of Racecars by Unknown Input Observers

2023

This brief addresses the robust lateral control problem for self-driving racecars. It proposes a discrete-time estimation and control solution consisting of a delayed unknown input-state observer (UIO) and a robust tracking controller. Based on a nominal vehicle model, describing its motion with respect to a generic desired trajectory and requiring no information about the surrounding environment, the observer reconstructs the total force disturbance signal, resulting from imperfect knowledge of the time-varying tire-road interface characteristics, presence of other vehicles nearby, wind gusts, and other model uncertainty. Then, the controller actively compensates the estimated force and as…

Settore ING-INF/04 - AutomaticaControl and Systems EngineeringAutonomous vehicles Estimation extended state observer (ESO) Force input-state estimation Mathematical models Observers racecars robust vehicle control self-driving Trajectory Uncertainty Vehicle dynamicsElectrical and Electronic EngineeringIEEE Transactions on Control Systems Technology
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Present-day use of an empirical wave prediction method

2016

Knowledge of the offshore wave climate is key to the design of coastal engineering structures and to the study of shoreline evolution. To date, the available wave data have been limited both in time and space; even though there are several options for obtaining wave data calculated using complex numerical models at basin scale, design issues can in some cases be solved by means of simpler models. This paper shows whether, under certain conditions and in an enclosed basin, an old empirical model can provide results that are good enough to determine the design condition necessary for engineering purposes. The empirical model chosen to answer this question is called Sverdrup–Munk–Bretschneide…

ShoreEngineeringgeographygeography.geographical_feature_categoryBuoySpacetimebusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia0211 other engineering and technologiesDesign methods and aidOcean Engineering02 engineering and technologyStructural basinPresent dayCivil engineeringCoastal engineeringSettore ICAR/01 - Idraulica021105 building & constructionCoastal engineeringSubmarine pipelineMathematical modelingbusinessBasin scale021101 geological & geomatics engineering
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Application of Mathematical Models in Analysis of Heat Losses in the Buildings

2006

Physical model of heat balance for separate living room is discussed, which allows to analyse the distributions of the flow of air and temperature depending on the physical conditions and geometry. The model enables to choose the optimal surface area of building elements and their properties in order to decrease the heat losses and improve the conditions of thermal comfort. Room with bounding constructions and real dimensions is modelled that helps to understand the peculiarities of heat transfer process in the room as well as distribution of various characteristic quantities and their dependence on the different conditions. Multiple parameters are varied in 2D calculations and their influe…

Sigma heatNTU methodConvective heat transferChemistryHeat transferMechanical engineeringThermal contactmathematical modelling; heat losses of building; heat balance of building; conductive convective and radiation heat losses; LBN 002-01; apportionment of heat losses and sources in building; HeatModHeat transfer coefficientFin (extended surface)Heat capacity rateEnvironment. Technology. Resources.
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Energy balance in single exposure multispectral sensors

2013

International audience; Recent simulations of multispectral sensors are based on a simple Gaussian model, which includes filters transmittance and substrate absorption. In this paper we want to make the distinction between these two layers. We discuss the balance of energy by channel in multispectral solid state sensors and propose an updated simple Gaussian model to simulate multispectral sensors. Results are based on simulation of typical sensor configurations.

SiliconMaterials science[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingoptical sensorsChannel (digital image)Equations[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhotodetectorGaussian processes02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciences010309 opticssymbols.namesakeMathematical model[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringTransmittanceComputer Science::Networking and Internet ArchitectureSpectral and color filter arraysoptical filtersOptical filterGaussian processPhysics::Atmospheric and Oceanic Physics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingRemote sensingtransmittance filterSubstratesSensorsGaussian modelmultispectral solid state sensorCamerasenergy balancespectral analysisConvolutionexposure multispectral sensorComputer Science::Computer Vision and Pattern Recognitionsubstrate absorptionlight absorptionlight sensorsymbolstransmittance filters020201 artificial intelligence & image processingGaussian network model[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingEnergy (signal processing)
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River water quality modelling: a parsimonious model approach

2009

Simplified modelSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologiamathematical modelling physico-chemical water quality sensitivity analysis
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Biological Nutrient Removal Model No. 2 (BNRM2): a general model for wastewater treatment plants

2013

This paper presents the plant-wide model Biological Nutrient Removal Model No. 2 (BNRM2). Since nitrite was not considered in the BNRM1, and this previous model also failed to accurately simulate the anaerobic digestion because precipitation processes were not considered, an extension of BNRM1 has been developed. This extension comprises all the components and processes required to simulate nitrogen removal via nitrite and the formation of the solids most likely to precipitate in anaerobic digesters. The solids considered in BNRM2 are: struvite, amorphous calcium phosphate, hidroxyapatite, newberite, vivianite, strengite, variscite, and calcium carbonate. With regard to nitrogen removal via…

Simulación y diseño de estaciones de tratamiento de aguas residuales 32484 / W - Programa de doctorado en ingeniería del agua y medioambiental 2077Simulación y diseño de estaciones de tratamiento de aguas residuales 32484 / X - Máster universitario en ingeniería hidráulica y medio ambiente 2152Environmental EngineeringNitritePrecipitationWater PurificationStrengitechemistry.chemical_compoundBioreactorsBNRM1BioreactorChemical PrecipitationSimulación y diseño de estaciones de tratamiento de aguas residuales 32484 / W - Programa de doctorado en ingeniería del agua y medioambiental 2218Computer SimulationAmmoniumNitriteTECNOLOGIA DEL MEDIO AMBIENTENitritesWater Science and TechnologyChemistryEnvironmental engineeringModels TheoreticalPulp and paper industryActivated sludge modelsKineticsAnaerobic digestionActivated sludgeStruvitePlant-wide mathematical modellingSewage treatmentWater Science and Technology
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