Search results for "Liability"

showing 10 items of 1754 documents

Global sensitivity analysis for urban water quality modelling: Terminology, convergence and comparison of different methods

2015

Abstract Sensitivity analysis represents an important step in improving the understanding and use of environmental models. Indeed, by means of global sensitivity analysis (GSA), modellers may identify both important ( factor prioritisation ) and non-influential ( factor fixing ) model factors. No general rule has yet been defined for verifying the convergence of the GSA methods. In order to fill this gap this paper presents a convergence analysis of three widely used GSA methods (SRC, Extended FAST and Morris screening) for an urban drainage stormwater quality–quantity model. After the convergence was achieved the results of each method were compared. In particular, a discussion on peculiar…

Mathematical optimizationMathematical modelSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleUncertaintyContrast (statistics)Numerical method6. Clean waterTerm (time)law.inventionSystems analysisMathematical modelMathematical models; Numerical methods; Sewer sediments; Systems analysis; Uncertainty; Urban drainage modelling; Water Science and TechnologySystems analysilawSewer sedimentConvergence (routing)StatisticsVenn diagramSensitivity (control systems)Urban drainage modellingReliability (statistics)MathematicsWater Science and Technology
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Construction and optimality of a special class of balanced designs

2006

The use of balanced designs is generally advisable in experimental practice. In technological experiments, balanced designs optimize the exploitation of experimental resources, whereas in marketing research experiments they avoid erroneous conclusions caused by the misinterpretation of interviewed customers. In general, the balancing property assures the minimum variance of first-order effect estimates. In this work the authors consider situations in which all factors are categorical and minimum run size is required. In a symmetrical case, it is often possible to find an economical balanced design by means of algebraic methods. Conversely, in an asymmetrical case algebraic methods lead to e…

Mathematical optimizationOrthogonality (programming)Computer scienceHeuristic (computer science)Property (programming)Settore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaManagement Science and Operations Researchbalancingnearly orthogonalarraytwo- and three-level designsoptimalityEmpirical researchMinimum-variance unbiased estimatorEconometricsinteraction estimabilityAlgebraic numberSafety Risk Reliability and QualityMarketing researchCategorical variableasymmetrical (mixed-level) design
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Numerical solution of a multi-class model for batch settling in water resource recovery facilities

2017

In Torfs et al. (2017) a new unified framework to model settling tanks in water resource recovery facilities was proposed providing a set of partial differential equations (PDEs) modelling different settling unit processes in wastewater treatment such as primary and secondary settling tanks (PSTs and SSTs). The extension to a multi-class framework to deal with the distributed properties of the settling particles leads to a system of non-linear hyperbolic-parabolic PDEs whose solutions may contain very sharp transitions. This necessitates the use of a consistent and robust numerical method to obtain well-resolved and reliable approximations to the PDE solutions. The use of implicit–explicit …

Mathematical optimizationPartial differential equationDiscretizationApplied MathematicsReliability (computer networking)Numerical analysisRelaxation (iterative method)010103 numerical & computational mathematics01 natural sciences6. Clean water010101 applied mathematicsSet (abstract data type)SettlingModeling and Simulation0101 mathematicsConvection–diffusion equationMathematicsApplied Mathematical Modelling
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A Conditional Value–at–Risk Model for Insurance Products with Guarantee

2009

We propose a model to select the optimal portfolio which underlies insurance policies with a guarantee. The objective function is defined in order to minimise the conditional value at-risk (CVaR) of the distribution of the losses with respect to a target return. We add operational and regulatory constraints to make the model as flexible as possible when used for real applications. We show that the integration of the asset and liability side yields superior performances with respect to naive fixed-mix portfolios and asset based strategies. We validate the model on out-of-sample scenarios and provide insights on policy design.

Mathematical optimizationPortfolio selection.Actuarial scienceComputer scienceCVARAsset-liability managementAsset-liability management; Conditional value-at-risk; CVaR; Policies with a minimum guarantee; Portfolio selection.Management Science and Operations ResearchPolicies with a minimum guaranteeExpected shortfallInsurance policyReplicating portfolioPortfolioCapital asset pricing modelAsset (economics)Statistics Probability and UncertaintyBusiness and International ManagementPortfolio optimizationCVaRConditional value-at-risk
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Uncertainty Propagation in Integrated Urban Water Quality Modelling

2018

Sensitivity and uncertainty assessment of integrated urban drainage water quality models are crucial steps in the evaluation of the reliability of model results. Indeed, the assessment of the reliability of the results of complex water quality models is crucial in understanding their significance. In the case of integrated urban drainage water quality models, due to the fact that integrated approaches are basically a cascade of sub-models (simulating the sewer system, wastewater treatment plant and receiving water body), uncertainty produced in one sub-model propagates to the following ones in a manner dependent on the model structure, the estimation of parameters and the availability and u…

Mathematical optimizationPropagation of uncertaintySettore ICAR/03 - Ingegneria Sanitaria-AmbientaleComputer scienceStandard deviationpollution evaluationKeywords: Integrated urban drainage modelling Environmental water quality management Pollution evaluation Uncertainty analysisIntegrated urban drainage modellingSensitivity (control systems)Water qualityDrainageGLUEuncertainty analysisenvironmental water quality managementUncertainty analysisReliability (statistics)
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Multiobjective ant colony search algorithm optimal electrical distribution system planning

2005

A dynamic multiobjective, MO, algorithm based on the ant colony search, the multiobjective ant colony search algorithm, MOACS, is presented. The application domain is that of dynamic planning for electrical distribution systems. A time horizon of H years has been considered during which the distribution system are modified according to the new internal (loads) and external (market, reliability, power quality) requirements. In this scenario, the objectives the Authors consider most important for utilities in strategical planning are: the quality requirement connected to the decrease of the expected number of interruptions per year and customer, in the considered time frame, and the choice fo…

Mathematical optimizationSearch algorithmComputer scienceReliability (computer networking)Ant colony optimization algorithmsmedia_common.quotation_subjectMathematicsofComputing_NUMERICALANALYSISPareto principleQuality (business)Time horizonAnt colonyComputingMethodologies_ARTIFICIALINTELLIGENCEmedia_commonProceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)
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Efficient solution of the first passage problem by Path Integration for normal and Poissonian white noise

2015

Abstract In this paper the first passage problem is examined for linear and nonlinear systems driven by Poissonian and normal white noise input. The problem is handled step-by-step accounting for the Markov properties of the response process and then by Chapman–Kolmogorov equation. The final formulation consists just of a sequence of matrix–vector multiplications giving the reliability density function at any time instant. Comparison with Monte Carlo simulation reveals the excellent accuracy of the proposed method.

Mathematical optimizationSequenceMarkov chainPoisson proceMechanical EngineeringReliability (computer networking)Monte Carlo methodAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionWhite noiseWhite noiseCondensed Matter PhysicsPath IntegrationNonlinear systemNuclear Energy and EngineeringStructural reliabilityApplied mathematicsFirst passage problemRandom vibrationSettore ICAR/08 - Scienza Delle CostruzioniRandom vibrationCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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Driven Primary Regulation for Minimum Power Losses Operation in Islanded Microgrids

2018

The paper proposes an improved primary regulation method for inverter-interfaced generating units in islanded microgrids. The considered approach employs an off-line minimum losses optimal power flow (OPF) to devise the primary frequency regulation curve’s set-points while satisfying the power balance, frequency and current constraints. In this way, generators will reach an optimized operating point corresponding to a given and unique power flow distribution presenting the minimum power losses. The proposed approach can be particularly interesting for diesel-based islanded microgrids that face, constantly, the issue of reducing their dependency from fossil fuels and of enhancing their gener…

Mathematical optimizationdroop controlControl and OptimizationOptimization problemComputer scienceHeuristic (computer science)020209 energyReliability (computer networking)microgridsEnergy Engineering and Power Technology02 engineering and technologylcsh:Technologyprimary regulationPower Balance0202 electrical engineering electronic engineering information engineeringVoltage droopElectrical and Electronic EngineeringMATLABEngineering (miscellaneous)minimum lossescomputer.programming_languageOperating pointRenewable Energy Sustainability and the Environmentlcsh:T020208 electrical & electronic engineeringPower (physics)Settore ING-IND/33 - Sistemi Elettrici Per L'Energiamicrogridmicrogrids; primary regulation; droop control; minimum lossesMinimum lossecomputerEnergy (miscellaneous)Energies
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Health monitoring of high performance composite pressure vessels,

2018

International audience; The most important form of damage in carbon fiber reinforced composite pressure vessels is the failure of the fibers however the rate of fiber failure is controlled by the viscoelastic nature of the matrix, which determines overall in-service lifetimes. This type of damage is very different from that encountered with metal pressure vessels and requires a detailed understanding in order to ensure reliability. Innovative proof testing methods based on these processes are necessary. The damage processes and the means of quantifying them are discussed. Their reliability under pressure over periods of decades is analyzed. Intrinsic safety factors linked directly to the pr…

Matrix viscoelasticityLong term reliabilityPressure vessels[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Carbon fibers[ PHYS.COND.CM-MS ] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Damage processesFiber failureSafety factors[PHYS.COND.CM-MS] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Damage kinetics
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Uncertainty evaluation in the differential measurements of power losses in a power drive system

2021

Abstract In order to guarantee a correct classification in the standardized energy efficiency classes, the current standards concerning the power drive systems prescribe that their power losses must be evaluated with great accuracy. This circumstance involves the usage of expensive measurement systems, since accurate instrumentation, skilled personnel and controlled environments are required. During the design stage of a power drive system, however, the measurement of the absolute value of its power losses is not always needed. Often, in fact, it is enough to assess the power losses variations caused by a modification of either hardware or software sections of the power drive system. In the…

Measure (data warehouse)Computer sciencebusiness.industryApplied MathematicsSystem of measurementAbsolute valueDifferential (mechanical device)Settore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciCondensed Matter PhysicsReliability engineeringPower (physics)SoftwarePower drive systems Power losses measurements Uncertainty analysisInstrumentation (computer programming)Electrical and Electronic EngineeringbusinessSettore ING-INF/07 - Misure Elettriche E ElettronicheInstrumentationEfficient energy useMeasurement
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