Search results for "efficient"

showing 10 items of 1603 documents

Chemical Reactivity in AOT Microemulsions:  Kinetics of Water Replacement in a Square-Planar Palladium(II) Aquo Complex by Monoalkylthioureas

1998

The kinetics of water replacement in the cationic palladium(II) aquo complex [Pd(Et4dien)(H2O)]2+, where Et4dien = Et2N(CH2)2NH(CH2)2NEt2, by thiourea, methylthiourea, and ethylthiourea have been studied at 25.0 °C in heptane−AOT−water microemulsion over a wide range of the molar ratio R (=[H2O]/[AOT]) at the constant surfactant concentration of 0.13 mol dm-3. The reaction rates are significantly higher in microemulsions than in bulk water and decrease rapidly as the parameter R increases. The kinetic data, interpreted quantitatively by applying the pseudophase model to the microemulsion, indicate that there is a weak partitioning of the nucleophiles between the water core and the AOT inter…

ChemistryKineticsInorganic chemistrychemistry.chemical_elementSurfaces Coatings and FilmsPartition coefficientReaction ratechemistry.chemical_compoundThioureaPulmonary surfactantMaterials ChemistryMicroemulsionPhysical and Theoretical ChemistryMetal aquo complexPalladiumThe Journal of Physical Chemistry B
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Calculations on solvents and co-solvents of single-wall carbon nanotubes:cyclopyranoses

2005

The (10, 10) single-wall carbon nanotube (SWNT) presents consistency between relatively small solubility, and large partition coefficients and kinetic stability. The solubility of SWNTs is investigated in a variety of solvents, finding a class of non-hydrogen-bonding Lewis bases that provides good solubility. The organic solvent–water partition and hydrophobic moment of lysozyme show that the main contribution to the water-accessible surface area of helices is the hydrophobic term, while the hydrophilic part dominates in the sheet, which is related to the 1-octanol–, cyclohexane– and chloroform–water partition coefficients Po−ch−cf of helices, which are greater than those of the sheet. The …

ChemistryMechanical EngineeringBioengineeringGeneral ChemistryCarbon nanotubeKinetic energylaw.inventionPartition coefficientChemical engineeringMechanics of MaterialslawLipophilicityOrganic chemistryPartition (number theory)General Materials ScienceLewis acids and basesElectrical and Electronic EngineeringSolubilityCo solventNanotechnology
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Extraction of the fluoride-, chloride- and bromide complexes of the elements Nb, Ta, Pa, and 105 into aliphatic amines

1998

Abstract Previous studies of the halide complex formation of element 105 in HCl–HF mixtures and extractions into triisooctyl amine (TIOA) have been performed with the Automated Rapid Chemistry Apparatus, ARCA II. Element 105 was shown to be absorbed on the column from 12 M HCl–0.02 M HF together with its lighter homologues Nb, Ta and the pseudohomologue Pa. In elutions with 10 M HCl–0.025 M HF, 4 M HCl–0.02 M HF, and 0.5 M HCl–0.01 M HF, the extraction sequence Ta>Nb>105>Pa was observed and element 105 behaved very differently from its closest homologue Ta. As it is not possible within reasonable effort to model the many presumably mixed fluoride–chloride complexes involved in these studies…

ChemistryMechanical EngineeringExtraction (chemistry)Inorganic chemistryMetals and AlloysHalideAliquat 336ChloridePartition coefficientchemistry.chemical_compoundMechanics of MaterialsLiquid–liquid extractionBromideMaterials ChemistrymedicineFluoridemedicine.drugJournal of Alloys and Compounds
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Anisotropy of the refractive index and absorption coefficient in the layer plane of gallium telluride single crystals

1995

Refractive index and absorption coefficient of GaTe for light polarized in the optical axis directions in the layer plane are determined from transmission measurements. The refractive index is determined in the wavelength range from 0.7 to 25 μm and the absorption coefficient in the range of energies from 1.6 to 2 eV at room temperature and at 30 K. The optical constants are found to be anisotropic in the layer plane. The refractive index dispersion is interpreted through a Phillips-Van Vechten model and the Penn gaps for each direction are found to be E pg (⊥b) = 3.37 eV and E pg (∥b) = 3.58 eV. In the long-wavelength region a polar phonon contribution is also taken into account. The absor…

ChemistryPhononbusiness.industryPhysics::OpticsCondensed Matter PhysicsMolecular physicsElectronic Optical and Magnetic MaterialsOptical axischemistry.chemical_compoundOpticsAbsorption edgeAttenuation coefficientTellurideAbsorptancebusinessAnisotropyRefractive indexPhysica Status Solidi (a)
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Spray Atomization Models in Engine Applications, from Correlations to Direct Numerical Simulations

2011

Sprays are among the very main factors of mixture formation and combustion quality in almost every (IC) engine. They are of great importance in pollutant formation and energy efficiency although adequate modeling is still on development. For many applications, validation and calibration of models are still an open question. Therefore, we present an overview of existing models and propose some trends of improvement. Models are classified in zero dimensional and dimensional classes ranging from simple formulations aimed at close-to-real-time applications to complete detailed description of early atomization stages.

Chemistrybusiness.industryGeneral Chemical EngineeringMixture formationEnergy Engineering and Power TechnologyMechanical engineeringRangingCombustionFuel TechnologyCalibrationSpray atomizationProcess engineeringbusinessEfficient energy useOil & Gas Science and Technology – Revue d’IFP Energies nouvelles
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Characterization of cooling loads in the wine industry and novel seasonal indicator for reliable assessment of energy saving through retrofit of chil…

2020

Abstract The food sector is a major consumer of energy and growing efforts are being made in the search for solutions that will guarantee the efficient and sustainable use of energy resources. Among the different sectors, wineries are attracting particular interest due to the continuous growth of the global market and production. Surveys conducted in the winemaking sector have highlighted the importance of performing accurate energy audits and have identified the installation of efficient refrigeration systems as a promising solution in a variety of cases. Unfortunately, the savings achievable by efficient cooling technologies are often estimated using simplified approaches which do not tak…

ChillerIndustrial chiller020209 energySeasonal energy efficiency ratioCooling load02 engineering and technologyManagement Monitoring Policy and LawSeasonal energy efficiency ratioEnergy audit020401 chemical engineeringEnergy savingSettore ING-IND/10 - Fisica Tecnica Industriale0202 electrical engineering electronic engineering information engineeringProduction (economics)0204 chemical engineeringProcess engineeringCooling loadbusiness.industryMechanical EngineeringWinerieRefrigerationBuilding and ConstructionEnergy consumptionGeneral EnergyEnvironmental scienceElectricitybusinessEfficient energy useApplied Energy
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Exergoeconomic analysis as support in decision-making for the design and operation of multiple chiller systems in air conditioning applications

2020

Abstract Multiple-chillers systems represent viable solutions for medium/large-scale air conditioning applications characterized by variable cooling demand. The energy efficiency of such systems is influenced by the number of chillers, the combination of cooling capacities, and the load-sharing among the units. Large efforts have been devoted to developing efficient operation strategies for these systems, but rules of thumb are usually adopted for selecting cooling capacities thus leaving room for energy and economic savings. In this paper, exergoeconomic analysis is proposed as a promising method to identify near-optimal design and operation strategies, due to the capability of exergoecono…

ChillerRenewable Energy Sustainability and the Environmentbusiness.industryComputer science020209 energyEnergy Engineering and Power Technology02 engineering and technologyRule of thumbReduction (complexity)Variable (computer science)Fuel Technology020401 chemical engineeringNuclear Energy and EngineeringAir conditioningMultiple-chillers systems Air conditioning Exergoeconomics Plant design Control strategy CostChilled water0202 electrical engineering electronic engineering information engineeringSettore ING-IND/10 - Fisica Tecnica Industriale0204 chemical engineeringProcess engineeringbusinessEnergy (signal processing)Efficient energy use
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Calculation of organic solvent–water partition coefficients of iron–sulfur protein models

2002

Abstract A method is presented that permits semiquantitative estimation of the partitioning of many solutes between many pairs of media. As an example, the organic solvent–water partition coefficients P are calculated. The only needed parameters are the dielectric constant and molecular volume of the organic solvent. Fe 4 S 4 Cys n models of high-potential FeS proteins are studied. The Gibbs free energies of solvation and partition coefficients for Fe 4 S 4 Cys n are calculated. The organic solvent–water partition coefficients for 1-octanol P o , cyclohexane P ch and chloroform P cf decrease 4.41, 6.22 and 4.60 log units per cysteine (Cys) ligand, respectively. P o results are compared with…

ChloroformbiologyCyclohexaneLigandStereochemistryOrganic solventAnalytical chemistrySolvationGibbs free energyInorganic ChemistryPartition coefficientchemistry.chemical_compoundsymbols.namesakeIron-sulfur proteinchemistryMaterials Chemistrybiology.proteinsymbolsPhysical and Theoretical ChemistryPolyhedron
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Iron as a source of color in river waters.

2015

Organic chromophores of total organic carbon (TOC) and those of iron (Fe) contribute to the color of water, but the relative contributions of colored organic carbon (COC%) and Fe (Fe%) are poorly known. In this study, we unraveled Fe% and COC% in 6128 unfiltered water samples collected from 94 Finnish river sites of contrasting catchment properties. According to regression analysis focusing on TOC alone, on average 84% of the mean TOC consisted of COC, while 16% was non-colored or below the color-detection limit. COC and Fe were much more important sources of color than phytoplankton (chlorophyll a as a proxy) or non-algal particles (suspended solids as a proxy). When COC and Fe were consid…

Chlorophyll aEnvironmental EngineeringhiiliIronta1172vesirautaAbsorption coefficientWater colorRiver waterchemistry.chemical_compoundAquatic plantSuomiPhytoplanktonEnvironmental ChemistryWaste Management and DisposalTotal organic carbonSuspended solidsväriTotal organic carbonPollution6. Clean waterabsorptiochemistryWater colorEnvironmental chemistryChlorophyllorgaaninen hiiliorgaaninen ainesjoetThe Science of the total environment
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Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion

2020

Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining calibrated hyperspectral imagery with inverse physically based reflectance models is an interesting approach for estimating chlorophyll concentrations that are good indicators of vegetation health. The objective of this study was to develop a novel approach for retrieving chlorophyll a and b values from remotely sensed data by inverting the stochastic model of leaf optical properties using a one-dimensional convolutional neural network. The inversion results and retrieved values are validated in two ways: A classical machine learning val…

Chlorophyll boptical propertiesChlorophyll aklorofylli010504 meteorology & atmospheric sciencesCorrelation coefficientStochastic modelling0211 other engineering and technologiesconvolutional neural network02 engineering and technologyneuroverkotoptiset ominaisuudet01 natural sciencesConvolutional neural networkchemistry.chemical_compoundchlorophylllcsh:Scienceoptical properties; convolutional neural network; deep learning; chlorophyll; stochastic modeling; physical parameter retrieval; forestry021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingstokastiset prosessitbusiness.industryDeep learningspektrikuvausforestryHyperspectral imagingdeep learningmetsänarviointikoneoppiminenchemistryChlorophyllGeneral Earth and Planetary Scienceslcsh:QArtificial intelligencekaukokartoitusmetsänhoitobusinessphysical parameter retrievalstochastic modelingRemote Sensing; Volume 12; Issue 2; Pages: 283
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