Calculation of Compressibility Factor for Air Over the Ranges of Pressure, Temperature, and Relative Humidity of Interest in Flowmeter Calibration
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How Compressible Are Innovation Processes?
1 How Compressible are Innovation Processes? Hamid Ghourchian, Arash Amini, Senior Member, IEEE, and Amin Gohari, Senior Member, IEEE Abstract The sparsity and compressibility of finite-dimensional signals are of great interest in fields such as compressed sensing. The notion of compressibility is also extended to infinite sequences of i.i.d. or ergodic random variables based on the observed error in their nonlinear k-term approximation. In this work, we use the entropy measure to study the compressibility of continuous-domain innovation processes (alternatively known as white noise). Specifically, we define such a measure as the entropy limit of the doubly quantized (time and amplitude) process. This provides a tool to compare the compressibility of various innovation processes. It also allows us to identify an analogue of the concept of “entropy dimension” which was originally defined by R´enyi for random variables. Particular attention is given to stable and impulsive Poisson innovation processes. Here, our results recognize Poisson innovations as the more compressible ones with an entropy measure far below that of stable innovations. While this result departs from the previous knowledge regarding the compressibility of fat-tailed distributions, our entropy measure ranks stable innovations according to their tail decay. Index Terms Compressibility, entropy, impulsive Poisson process, stable innovation, white L´evy noise. I. INTRODUCTION The compressible signal models have been extensively used to represent or approximate various types of data such as audio, image and video signals. The concept of compressibility has been separately studied in information theory and signal processing societies. In information theory, this concept is usually studied via the well-known entropy measure and its variants. -
An Entropy-Stable Hybrid Scheme for Simulations of Transcritical Real-Fluid
Journal of Computational Physics 340 (2017) 330–357 Contents lists available at ScienceDirect Journal of Computational Physics www.elsevier.com/locate/jcp An entropy-stable hybrid scheme for simulations of transcritical real-fluid flows Peter C. Ma, Yu Lv ∗, Matthias Ihme Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA a r t i c l e i n f o a b s t r a c t Article history: A finite-volume method is developed for simulating the mixing of turbulent flows at Received 30 August 2016 transcritical conditions. Spurious pressure oscillations associated with fully conservative Received in revised form 9 March 2017 formulations are addressed by extending a double-flux model to real-fluid equations of Accepted 12 March 2017 state. An entropy-stable formulation that combines high-order non-dissipative and low- Available online 22 March 2017 order dissipative finite-volume schemes is proposed to preserve the physical realizability Keywords: of numerical solutions across large density gradients. Convexity conditions and constraints Real fluid on the application of the cubic state equation to transcritical flows are investigated, and Spurious pressure oscillations conservation properties relevant to the double-flux model are examined. The resulting Double-flux model method is applied to a series of test cases to demonstrate the capability in simulations Entropy stable of problems that are relevant for multi-species transcritical real-fluid flows. Hybrid scheme © 2017 Elsevier Inc. All rights reserved. 1. Introduction The accurate and robust simulation of transcritical real-fluid effects is crucial for many engineering applications, such as fuel injection in internal-combustion engines, rocket motors and gas turbines. -
Chapter 3 3.4-2 the Compressibility Factor Equation of State
Chapter 3 3.4-2 The Compressibility Factor Equation of State The dimensionless compressibility factor, Z, for a gaseous species is defined as the ratio pv Z = (3.4-1) RT If the gas behaves ideally Z = 1. The extent to which Z differs from 1 is a measure of the extent to which the gas is behaving nonideally. The compressibility can be determined from experimental data where Z is plotted versus a dimensionless reduced pressure pR and reduced temperature TR, defined as pR = p/pc and TR = T/Tc In these expressions, pc and Tc denote the critical pressure and temperature, respectively. A generalized compressibility chart of the form Z = f(pR, TR) is shown in Figure 3.4-1 for 10 different gases. The solid lines represent the best curves fitted to the data. Figure 3.4-1 Generalized compressibility chart for various gases10. It can be seen from Figure 3.4-1 that the value of Z tends to unity for all temperatures as pressure approach zero and Z also approaches unity for all pressure at very high temperature. If the p, v, and T data are available in table format or computer software then you should not use the generalized compressibility chart to evaluate p, v, and T since using Z is just another approximation to the real data. 10 Moran, M. J. and Shapiro H. N., Fundamentals of Engineering Thermodynamics, Wiley, 2008, pg. 112 3-19 Example 3.4-2 ---------------------------------------------------------------------------------- A closed, rigid tank filled with water vapor, initially at 20 MPa, 520oC, is cooled until its temperature reaches 400oC. -
A Thermodynamic Theory of Economics
________________________________________________________________________________________________ A Thermodynamic Theory of Economics Final Post Review Version ________________________________________________________________________________________________ John Bryant VOCAT International Ltd, 10 Falconers Field, Harpenden, AL5 3ES, United Kingdom. E-mail: [email protected] Abstract: An analogy between thermodynamic and economic theories and processes is developed further, following a previous paper published by the author in 1982. Economic equivalents are set out concerning the ideal gas equation, the gas constant, pressure, temperature, entropy, work done, specific heat and the 1st and 2nd Laws of Thermodynamics. The law of diminishing marginal utility was derived from thermodynamic first principles. Conditions are set out concerning the relationship of economic processes to entropic gain. A link between the Le Chatelier principle and economic processes is developed, culminating in a derivation of an equation similar in format to that of Cobb Douglas production function, but with an equilibrium constant and a disequilibrium function added to it. A trade cycle is constructed, utilising thermodynamic processes, and equations are derived for cycle efficiency, growth and entropy gain. A thermodynamic model of a money system is set out, and an attempt is made to relate interest rates, the rate of return, money demand and the velocity of circulation to entropy gain. Aspects concerning the measurement of economic value in thermodynamic terms are discussed. Keywords: Thermodynamics, economics, Le Chatelier, entropy, utility, money, equilibrium, value, energy. Publisher/Journal: This paper is the final post review version of a paper submitted to the International Journal of Exergy, published by Inderscience Publishers. Reference: Bryant, J. (2007) ‘A thermodynamic theory of economics’, Int. J. Exergy, Vol 4, No. -
Real Gases – As Opposed to a Perfect Or Ideal Gas – Exhibit Properties That Cannot Be Explained Entirely Using the Ideal Gas Law
Basic principle II Second class Dr. Arkan Jasim Hadi 1. Real gas Real gases – as opposed to a perfect or ideal gas – exhibit properties that cannot be explained entirely using the ideal gas law. To understand the behavior of real gases, the following must be taken into account: compressibility effects; variable specific heat capacity; van der Waals forces; non-equilibrium thermodynamic effects; Issues with molecular dissociation and elementary reactions with variable composition. Critical state and Reduced conditions Critical point: The point at highest temp. (Tc) and Pressure (Pc) at which a pure chemical species can exist in vapour/liquid equilibrium. The point critical is the point at which the liquid and vapour phases are not distinguishable; because of the liquid and vapour having same properties. Reduced properties of a fluid are a set of state variables normalized by the fluid's state properties at its critical point. These dimensionless thermodynamic coordinates, taken together with a substance's compressibility factor, provide the basis for the simplest form of the theorem of corresponding states The reduced pressure is defined as its actual pressure divided by its critical pressure : The reduced temperature of a fluid is its actual temperature, divided by its critical temperature: The reduced specific volume ") of a fluid is computed from the ideal gas law at the substance's critical pressure and temperature: This property is useful when the specific volume and either temperature or pressure are known, in which case the missing third property can be computed directly. 1 Basic principle II Second class Dr. Arkan Jasim Hadi In Kay's method, pseudocritical values for mixtures of gases are calculated on the assumption that each component in the mixture contributes to the pseudocritical value in the same proportion as the mol fraction of that component in the gas. -
Thermodynamics As a Substantive and Formal Theory for the Analysis of Economic and Biological Systems
Thermodynamics as a Substantive and Formal Theory for the Analysis of Economic and Biological Systems The research presented in this thesis was carried out at the Department of Theoretical Life Sciences, Vrije Universiteit Amsterdam, The Netherlands and at the Environment and Energy Section, Instituto Superior T´ecnico, Lisbon, Portugal. VRIJE UNIVERSITEIT THERMODYNAMICS AS A SUBSTANTIVE AND FORMAL THEORY FOR THE ANALYSIS OF ECONOMIC AND BIOLOGICAL SYSTEMS ACADEMISCH PROEFSCHRIFT ter verkrijging van de graad van doctor aan de Vrije Universiteit Amsterdam, op gezag van de rector magnificus prof.dr. L.M. Bouter, in het openbaar te verdedigen ten overstaan van de promotiecommissie van de faculteit der Aard- en Levenswetenschappen op dinsdag 6 februari 2007 om 10.00 uur in de aula van de Instituto Superior T´ecnico Av. Rovisco Pais, n◦1 1049-001 Lisboa door Taniaˆ Alexandra dos Santos Costa e Sousa geboren te Beira, Mozambique promotor: prof.dr. S.A.L.M. Kooijman Contents 1 Introduction 1 2 IsNeoclassicalEconomicsFormallyValid? 9 Published in Ecological Economics 58 (2006): 160-169 2.1 Introduction................................. 10 2.2 IstheFormalismofNeoclassicalEconomicswrong? . ...... 12 2.3 A Unified Formalism for Neoclassical Economics and Equilibrium Ther- modynamics................................. 14 2.4 DiscussingtheFormalism. 19 2.5 Conclusions................................. 21 3 Equilibrium Econophysics 29 Published in Physica A 371 (2006): 492-512 3.1 Introduction................................. 30 3.2 FundamentalEquationandtheEquilibriumState . ...... 31 3.3 DualityFormulation............................. 33 3.4 Reversible, Irreversible and Impossible Processes . .......... 35 3.5 Many-stepProcesses ............................ 36 3.6 LegendreTransforms ............................ 38 3.7 Elasticities.................................. 40 3.8 MaxwellRelations ............................. 43 3.9 StabilityConditions and the Le Chatelier Principle . ......... 45 3.10 EquationsofStateandIntegrability . ..... 47 3.11 FirstOrderPhaseTransitions . -
Thermodynamic Propertiesproperties
ThermodynamicThermodynamic PropertiesProperties PropertyProperty TableTable -- from direct measurement EquationEquation ofof StateState -- any equation that relates P,v, and T of a substance jump ExerciseExercise 33--1212 A bucket containing 2 liters of R-12 is left outside in the atmosphere (0.1 MPa) a) What is the R-12 temperature assuming it is in the saturated state. b) the surrounding transfer heat at the rate of 1KW to the liquid. How long will take for all R-12 vaporize? See R-12 (diclorindifluormethane) on Table A-2 SolutionSolution -- pagepage 11 Part a) From table A-2, at the saturation pressure of 0.1 MPa one finds: • Tsaturation = - 30oC 3 • vliq = 0.000672 m /kg 3 • vvap = 0.159375 m /kg • hlv = 165KJ/kg (vaporization heat) SolutionSolution -- pagepage 22 Part b) The mass of R-12 is m = Volume/vL, m = 0.002/0.000672 = 2.98 kg The vaporization energy: Evap = vap energy * mass = 165*2.98 = 492 KJ Time = Heat/Power = 492 sec or 8.2 min GASGAS PROPERTIESPROPERTIES Ideal -Gas Equation of State M PV = nR T; n = u mol Universal gas constant is given on Ru = 8.31434 kJ/kmol-K = 8.31434 kPa-m3/kmol-k = 0.0831434 bar-m3/kmol-K = 82.05 L-atm/kmol-K = 1.9858 Btu/lbmol-R = 1545.35 ft-lbf/lbmol-R = 10.73 psia-ft3/lbmol-R EExamplexample Determine the particular gas constant for air (28.97 kg/kmol) and hydrogen (2.016 kg/kmol). kJ 8.1417 kJ = Ru = kmol − K = 0.287 Rair kg M 28.97 kg − K kmol kJ 8.1417 kJ = kmol − K = 4.124 Rhydrogen kg 2.016 kg − K kmol IdealIdeal GasGas “Law”“Law” isis aa simplesimple EquationEquation ofof StateState PV = MRT Pv = RT PV = NRuT P V P V 1 1 = 2 2 T1 T2 QuestionQuestion …...….. -
Compressibility of the Fluid
EPJ Web of Conferences 67, 02048 (2014) DOI: 10.1051/epjconf/20146702048 C Owned by the authors, published by EDP Sciences, 2014 Compressibility of the fluid Jana Jablonská1,a 1 Department of Hydromechanics and Hydraulic Equipment, Faculty of Mechanical Engineering, VŠB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech republic Abstract. The presence of air in the liquid causes the dynamic system behaviour. When solve to issue of the dynamics we often meet problems of cavitation. Cavitation is an undesirable phenomenon, since it causes a disruption of the surrounding material and material destruction. Cavitation is accompanied by loud sound effects and reduces the efficiency of such pumps, etc. Therefore, it is desirable to model systems in which the cavitation might occur. A typical example is a solution of water hammer. 1 Introduction Fluid density after compression is given by m m In solving dynamics of hydraulic systems we often 0 4 4 (4) encounter the problem with cavitation. Cavitation is an V0 V 1 p 1 p undesirable phenomenon that we are trying to prevent. Cavitation depends on the liquid used in the hydraulic Thereof system. Liquids - hydraulic fluids are typical of its air content. The air in the fluid occurs in two forms - C p S D1 T (5) dissolved and undissolved. Dissolved air according to the 0 E K U literature [4] ia controled by Henry's law, its release is complex and difficult to describe action. If we consider the fluid flow with undissolved air it is a flow of mixture - water – air. 3 Determining the modulus of elasticity of liquid 2 Compressibility of the fluid The modulus of elasticity of water is generally in the literature determines the value of 2.1·109 Pa under normal Compressibility of the fluid is character to shrink in conditions, which corresponds to theory 1 (see Figure 3). -
1 Understanding on Thermodynamic Properties of Van Der Waals
Understanding on thermodynamic properties of van der Waals equation of state with the use of Mathematica Masatsugu Sei Suzuki and Itsuko S. Suzuki Department of Physics, SUNY at Binghamton (Date: August 18, 2015) _________________________________________________________________________ Johannes Diderik van der Waals (November 23, 1837 – March 8, 1923) was a Dutch theoretical physicist and thermodynamicist famous for his work on an equation of state for gases and liquids. His name is primarily associated with the van der Waals equation of state that describes the behavior of gases and their condensation to the liquid phase. His name is also associated with van der Waals forces (forces between stable molecules), with van der Waals molecules (small molecular clusters bound by van der Waals forces), and with van der Waals radii (sizes of molecules). He became the first physics professor of the University of Amsterdam when it opened in 1877 and won the 1910 Nobel Prize in physics. http://en.wikipedia.org/wiki/Johannes_Diderik_van_der_Waals _________________________________________________________________________ Thomas Andrews (9 December 1813 – 26 November 1885) was a chemist and physicist who did important work on phase transitions between gases and liquids. He was a longtime professor of chemistry at Queen's University of Belfast. https://en.wikipedia.org/wiki/Thomas_Andrews_%28scientist%29 1 https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Andrews_Thomas.jpg/225px- Andrews_Thomas.jpg 2 Fig.1 Maxwell construction for a van der Waals system with the law of the corresponding states (we use the Mathematica for this). The critical point is at K. Phase coexistence occurs along the path a-c-e, when the shaded areas are equal. -
A Computationally Efficient and Accurate Numerical Representation
EPJ Web of Conferences 25, 01025 (2012) DOI: 10.1051/epjconf/20122501025 © Owned by the authors, published by EDP Sciences, 2012 A COMPUTATIONALLY EFFICIENT AND ACCURATE NUMERICAL REPRESENTATION OF THERMODYNAMIC PROPERTIES OF STEAM AND WATER FOR COMPUTATIONS OF NON-EQUILIBRIUM CONDENSING STEAM FLOW IN STEAM TURBINES Jan HRUBÝ Abstract: Mathematical modeling of the non-equilibrium condensing transonic steam flow in the complex 3D geometry of a steam turbine is a demanding problem both concerning the physical concepts and the required computational power. Available accurate formulations of steam properties IAPWS-95 and IAPWS-IF97 require much computation time. For this reason, the modelers often accept the unrealistic ideal-gas behavior. Here we present a computation scheme based on a piecewise, thermodynamically consistent representation of the IAPWS-95 formulation. Density and internal energy are chosen as independent variables to avoid variable transformations and iterations. On the contrary to the previous Tabular Taylor Series Expansion Method, the pressure and temperature are continuous functions of the independent variables, which is a desirable property for the solution of the differential equations of the mass, energy, and momentum conservation for both phases. 1. INTRODUCTION Realistic computation of the flow of the condensing steam in a steam turbine is a prerequisite of development of more reliable and efficient turbines. Realistic computational fluid dynamics (CFD) model also includes properties of real steam. In a finite-volume computation, thermodynamic properties need to be evaluated several times in each volume element and each time step. Consequently, besides accuracy, the mathematical model must also be computationally efficient. The lack of such models is one of the reasons that often the real gas behavior is neglected and only the ideal gas equation is considered, despite a large error due to neglecting the real gas properties. -
Thermodynamic Properties of Molecular Oxygen
NATIONAL BUREAU OF STANDARDS REPORT 2611 THERMODYNAMIC PROPERTIES OF MOLECULAR OXYGEN tv Harold ¥, Woolley Themodynamics Section Division of Heat and Power U. S. DEPARTMENT OF COMMERCE NATIONAL BUREAU OF STANDARDS U. S. DEPARTMENT OF COMMERCE Sinclair Weeks, Secretary NATIONAL BUREAU OF STANDARDS A. V. Astin, Director THE NATIONAL BUREAU OF STANDARDS The scope of activities of the National Bureau of Standards is suggested in the following listing of the divisions and sections engaged in technical work. In general, each section is engaged in special- ized research, development, and engineering in the field indicated by its title. A brief description of the activities, and of the resultant reports and publications, appears on the inside of the back cover of this report. Electricity. Resistance Measurements. Inductance and Capacitance. Electrical Instruments. Magnetic Measurements. Applied Electricity. Electrochemistry. Optics and Metrology. Photometry and Colorimetry. Optical Instruments. Photographic Technology. Length. Gage. Heat and Power. Temperature Measurements. Thermodynamics. Cryogenics. Engines and Lubrication. Engine Fuels. Cryogenic Engineering. Atomic and Radiation Physics. Spectroscopy. Radiometry. Mass Spectrometry. Solid State Physics. Electron Physics. Atomic Physics. Neutron Measurements. Infrared Spectroscopy. Nuclear Physics. Radioactivity. X-Rays. Betatron. Nucleonic Instrumentation. Radio- logical Equipment. Atomic Energy Commission Instruments Branch. Chemistry. Organic Coatings. Surface Cheipistry. Organic Chemistry. -
Accurate Calculations of Compressibility Factor for Pure Gases and Gas Mixtures
Accurate Calculations of Compressibility Factor for Pure Gases and Gas Mixtures OBEIDA, Tawfic A, AGOCO, Libya and Mining University Leoben, Austria HEINEMANN, Zoltán E., Mining University Leoben , Austria KRIEBERNEGG, Michael, Mining University Leoben, Austria Paper presented at the Sth European Conference on the Mathematics of Oil Recovery, Leoben, Austria, 3-6 Sept. 1996 ABSTRACT in non-compositional simulators. An accurate method to prediet volumetrie behavior of gas INTRODUCTION mixtures, such as in the case of underground gas storage The compressibility factor is an important property for where the in-situ gas is mixed with the injected gas, is gases to calculate volume (formation volume factor) of presented in this paper. This method accurately calculates gases and the coefficient of isothermal compressibility the compressibility (Z) factor of pure hydrocarbon, non- under given conditions (pressure, temperature). hydrocarbon gases and gas mixtures. To account for the non-additive behavior of volumes of hydrocarbon and non- It is important to calculate the Z-factor more accurately, hydrocarbon gases, correction functions were developed specially for gas mixtures, in order to predict the volumetrie from correlation of data (Z-factors) generated by the Peng- gas behavior more reasonable. In compositional simulators Robinson equation of state. The correction functions are the calculations of the Z-factor are accurate, but for every function of gas composition, pressure and temperature, so condition the cubic equation of state is solved for Z-factor. the Z-factor can be calculated explicitly from gas The solution procedure involves iterations such as in composition under different reservoir conditions. Newton Raphson method. These iterations and convergence checking procedure consumes, some times, a considerable Several comparative examples are presented to compare part of CPU time for just calculating gas properties (Z- the Z-factors calculated by the correction functions with factor).