Chapter 3 Real Gases
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Carbon Dioxide Heat Transfer Coefficients and Pressure
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Archivio della ricerca - Università degli studi di Napoli Federico II international journal of refrigeration 33 (2010) 1068e1085 available at www.sciencedirect.com www.iifiir.org journal homepage: www.elsevier.com/locate/ijrefrig Carbon dioxide heat transfer coefficients and pressure drops during flow boiling: Assessment of predictive methods R. Mastrullo a, A.W. Mauro a, A. Rosato a,*, G.P. Vanoli b a D.E.TE.C., Facolta` di Ingegneria, Universita` degli Studi di Napoli Federico II, p.le Tecchio 80, 80125 Napoli, Italy b Dipartimento di Ingegneria, Universita` degli Studi del Sannio, corso Garibaldi 107, Palazzo dell’Aquila Bosco Lucarelli, 82100 Benevento, Italy article info abstract Article history: Among the alternatives to the HCFCs and HFCs, carbon dioxide emerged as one of the most Received 13 December 2009 promising environmentally friendly refrigerants. In past years many works were carried Received in revised form out about CO2 flow boiling and very different two-phase flow characteristics from 8 February 2010 conventional fluids were found. Accepted 5 April 2010 In order to assess the best predictive methods for the evaluation of CO2 heat transfer Available online 9 April 2010 coefficients and pressure gradients in macro-channels, in the current article a literature survey of works and a collection of the results of statistical comparisons available in Keywords: literature are furnished. Heat exchanger In addition the experimental data from University of Naples are used to run a deeper Boiling analysis. Both a statistical and a direct comparison against some of the most quoted Carbon dioxide-review predictive methods are carried out. -
Chapter 6 - Engineering Equations of State II
Introductory Chemical Engineering Thermodynamics By J.R. Elliott and C.T. Lira Chapter 6 - Engineering Equations of State II. Generalized Fluid Properties The principle of two-parameter corresponding states 50 50 40 40 30 30 T=705K 20 20 ρ T=286K L 10 10 T=470 T=191K T=329K 0 0 0 0.1 0.2 0.3 0.4 0 0.1 0.2 0.3 0.4 0.5 -10 T=133K -10 ρV Density (g/cc) Density (g/cc) VdW Pressure (bars) in Methane VdW Pressure (bars) in Pentane Critical Definitions: Tc - critical temperature - the temperature above which no liquid can exist. Pc - critical pressure - the pressure above which no vapor can exist. ω - acentric factor - a third parameter which helps to specify the vapor pressure curve which, in turn, affects the rest of the thermodynamic variables. ∂ ∂ 2 P = P = 0 and 0 at Tc and Pc Note: at the critical point, ∂ρ ∂ρ 2 T T Chapter 6 - Engineering Equations of State Slide 1 II. Generalized Fluid Properties The van der Waals (1873) Equation Of State (vdW-EOS) Based on some semi-empirical reasoning about the ways that temperature and density affect the pressure, van der Waals (1873) developed the equation below, which he considered to be fairly crude. We will discuss the reasoning at the end of the chapter, but it is useful to see what the equations are and how we use them before deriving the details. The vdW-EOS is: bρ aρ 1 aρ Z =+1 −= − ()1− bρ RT()1− bρ RT van der Waals’ trick for characterizing the difference between subcritical and supercritical fluids was to recognize that, at the critical point, ∂P ∂ 2 P = 0 and = 0 at T , P ∂ρ ∂ρ 2 c c T T Since there are only two “undetermined parameters” in his EOS (a and b), he has reduced the problem to one of two equations and two unknowns. -
On the Van Der Waals Gas, Contact Geometry and the Toda Chain
entropy Article On the van der Waals Gas, Contact Geometry and the Toda Chain Diego Alarcón, P. Fernández de Córdoba ID , J. M. Isidro * ID and Carlos Orea Instituto Universitario de Matemática Pura y Aplicada, Universidad Politécnica de Valencia, 46022 Valencia, Spain; [email protected] (D.A.); [email protected] (P.F.d.C.); [email protected] (C.O.) * Correspondence: [email protected] Received: 7 June 2018; Accepted: 16 July 2018; Published: 26 July 2018 Abstract: A Toda–chain symmetry is shown to underlie the van der Waals gas and its close cousin, the ideal gas. Links to contact geometry are explored. Keywords: van der Waals gas; contact geometry; Toda chain 1. Introduction The contact geometry of the classical van der Waals gas [1] is described geometrically using a five-dimensional contact manifold M [2] that can be endowed with the local coordinates U (internal energy), S (entropy), V (volume), T (temperature) and p (pressure). This description corresponds to a choice of the fundamental equation, in the energy representation, in which U depends on the two extensive variables S and V. One defines the corresponding momenta T = ¶U/¶S and −p = ¶U/¶V. Then, the standard contact form on M reads [3,4] a = dU + TdS − pdV. (1) One can introduce Poisson brackets on the four-dimensional Poisson manifold P (a submanifold of M) spanned by the coordinates S, V and their conjugate variables T, −p, the nonvanishing brackets being fS, Tg = 1, fV, −pg = 1. (2) Given now an equation of state f (p, T,...) = 0, (3) one can make the replacements T = ¶U/¶S, −p = ¶U/¶V in order to obtain ¶U ¶U f − , ,.. -
New Explicit Correlation for the Compressibility Factor of Natural Gas: Linearized Z-Factor Isotherms
J Petrol Explor Prod Technol (2016) 6:481–492 DOI 10.1007/s13202-015-0209-3 ORIGINAL PAPER - PRODUCTION ENGINEERING New explicit correlation for the compressibility factor of natural gas: linearized z-factor isotherms 1 2 3 Lateef A. Kareem • Tajudeen M. Iwalewa • Muhammad Al-Marhoun Received: 14 October 2014 / Accepted: 17 October 2015 / Published online: 18 December 2015 Ó The Author(s) 2015. This article is published with open access at Springerlink.com Abstract The compressibility factor (z-factor) of gases is Keywords Z-factor Á Explicit correlation Á Reduced a thermodynamic property used to account for the devia- temperature Á Reduced pressure Á Natural gas tion of real gas behavior from that of an ideal gas. Corre- lations based on the equation of state are often implicit, List of symbols because they require iteration and are computationally P Pressure (psi) expensive. A number of explicit correlations have been P Pseudo-critical pressure derived to enhance simplicity; however, no single explicit pc P Pseudo-reduced pressure correlation has been developed for the full range of pseudo- pr ÀÁ T Temperature (R) reduced temperatures 1:05 Tpr 3 and pseudo-reduced ÀÁ Tpc Pseudo-critical temperature (R) pressures 0:2 Ppr 15 , which represents a significant Tpr Pseudo-reduced temperature research gap. This work presents a new z-factor correlation Ppc Pseudo-critical pressure (psi) that can be expressed in linear form. On the basis of Hall Ppr Pseudo-reduced pressure and Yarborough’s implicit correlation, we developed the v Initial guess for iteration process new correlation from 5346 experimental data points Y Pseudo-reduced density extracted from 5940 data points published in the SPE z-factor Compressibility factor natural gas reservoir engineering textbook and created a linear z-factor chart for a full range of pseudo-reduced temperatures ð1:15 Tpr 3Þ and pseudo-reduced pres- sures ð0:2 Ppr 15Þ. -
New Explicit Correlation for the Compressibility Factor of Natural Gas: Linearized Z-Factor Isotherms
J Petrol Explor Prod Technol DOI 10.1007/s13202-015-0209-3 ORIGINAL PAPER - PRODUCTION ENGINEERING New explicit correlation for the compressibility factor of natural gas: linearized z-factor isotherms 1 2 3 Lateef A. Kareem • Tajudeen M. Iwalewa • Muhammad Al-Marhoun Received: 14 October 2014 / Accepted: 17 October 2015 Ó The Author(s) 2015. This article is published with open access at Springerlink.com Abstract The compressibility factor (z-factor) of gases is Keywords Z-factor Á Explicit correlation Á Reduced a thermodynamic property used to account for the devia- temperature Á Reduced pressure Á Natural gas tion of real gas behavior from that of an ideal gas. Corre- lations based on the equation of state are often implicit, List of symbols because they require iteration and are computationally P Pressure (psi) expensive. A number of explicit correlations have been P Pseudo-critical pressure derived to enhance simplicity; however, no single explicit pc P Pseudo-reduced pressure correlation has been developed for the full range of pseudo- pr ÀÁ T Temperature (R) reduced temperatures 1:05 Tpr 3 and pseudo-reduced ÀÁ Tpc Pseudo-critical temperature (R) pressures 0:2 Ppr 15 , which represents a significant Tpr Pseudo-reduced temperature research gap. This work presents a new z-factor correlation Ppc Pseudo-critical pressure (psi) that can be expressed in linear form. On the basis of Hall Ppr Pseudo-reduced pressure and Yarborough’s implicit correlation, we developed the v Initial guess for iteration process new correlation from 5346 experimental data points Y Pseudo-reduced density extracted from 5940 data points published in the SPE z-factor Compressibility factor natural gas reservoir engineering textbook and created a linear z-factor chart for a full range of pseudo-reduced temperatures ð1:15 Tpr 3Þ and pseudo-reduced pres- sures ð0:2 Ppr 15Þ. -
[email protected]
Fundamentals of mechanical engineering [email protected] MOHAMMED ABASS ALI What is thermodynamics Thermodynamics is the branch of physics that studies the effects of temperature and heat on physical systems at the macroscopic scale. In addition, it also studies the relationship that exists between heat, work and energy. Thermal energy is found in many forms in today’s society including power generation of electricity using gas, coal or nuclear, heating water by gas or electric. THE BASICS OF THERMODYNAMICS Basic concepts Properties are Features of a system which include mass, volume, energy, pressure and temperature. Thermodynamics also considers other quantities that are not physical properties, such as mass flow rates and energy transfers by work and heat. Energy forms Fluids and solids can possess several forms of energy. All fluids possess energy due to their temperature and this is referred to as ‘internal energy’. They will also possess ‘ potential energy’ (PE) due to distance (z) above a datum level and if the fluid is moving at a velocity (v), it will also possess ‘kinetic energy’. If the fluid is pressurised, it will possess ‘flow energy’ (FE). Pressure and temperature are the two governing factors and internal energy can be added to FE to produce a single property called ‘enthalpy’. Internal energy The molecules of a fluid possess both kinetic energy (KE) and PE relative to an internal datum. Generally, this is regarded simply as the energy due to its temperature and the change in internal energy in a fluid that undergoes a temperature change is given by ΔU = mcΔT The total internal energy is denoted by the symbol ‘U’, which has values of J, kJ or MJ; also the specific internal energy ‘u’ has the values of kJ/kg. -
Technical Brief
Journal of Energy Resources Technology Technical Brief Formulations for the Thermodynamic on mathematical integration of the correlations developed for spe- cific heat, and the property estimates obtained are remarkably Properties of Pure Substances accurate. The fundamental equation-of-state formulation typically re- quires several numerical constants to ensure accuracy. Besides, George A. Adebiyi subsequent determination of the complete list of thermodynamic Mechanical Engineering Department, Mississippi State properties from the fundamental equation of state requires obtain- University, Mississippi State, MS 39762 ing differentials of the characteristic function. The functional rep- e-mail: [email protected] resentation must be accurate, and great precision will be required if the estimates obtained for these other thermodynamic properties are to be reliable. These formulations are, as a result, not suitable for incorporation into programs that require repeated computation This article presents a procedure for formulation for the thermo- of system properties. dynamic properties of pure substances using two primary sets of The integrated approach is described in general terms in this data, namely, the pvT data and the specific heat data, such as the article. An illustration is provided using dry air at pressures as constant-pressure specific heat c p as a function of pressure and high as 50 bar ͑725 psia͒ and temperatures in the range 250 K temperature. The method makes use of a linkage, on the basis of ͑450 R͒ to 1000 K ͑1800 R͒. the laws of thermodynamics, between the virial coefficients for the pvT data correlation and those for the corresponding specific heat data correlation for the substance. -
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. -
Fundamentals of Hypersonic Flow - Aerothermodynamics
FUNDAMENTALSOFHYPERSONICFLOW- AEROTHERMODYNAMICS D. G. Fletcher von Karman Institute, Belgium 1. Introduction To aid in understanding the different topics discussed in the current Lecture Series and to provide background material for interested participants who may not have specialized training in this field, a brief summary of the fundamental attributes of hypersonic flows is given. Many of the topics that are introduced in this section will be elaborated further in contributions related to specific subjects related to sustained hypersonic flight. The differencesbetweenthethermalandchemicalaspectsofhypersonicflowandsupersonic flow are therefore highlighted. The age of some of the figures used in the subsequent discussion reflect the fact that the problems of hypersonic flight are not newly discovered! Fig. 1.1 Flight trajectories for different hypersonic vehicles comparing sustained atmo- spheric flight with re-entry. The hypersonic flight regime includes atmospheric entry and re-entry, ground testing, and flight for both powered and unpowered vehicles. In the present Lecture Series, the main interest is on sustained and controlled hypersonic flight, whether for military or civil transport application. Even though it is not currently certified for flight, there is one operational hypersonic vehicle: the space shuttle of NASA. At least 20 years before the development of the shuttle a significant activity in hypersonic flight research was conducted by the US Air Force in their X-15 program. This vehicle has reached a flight Mach number of 6.7 on its final flight, which also used to test a hypersonic ramjet engine. Direct shock impingement on the pylon holding a dummy engine caused severe heating and structural damage, and this was one of many lessons learned from the program. -
Comments on Failures of Van Der Waals' Equation at the Gas–Liquid
Comments on Failures of van der Waals’ Equation at the Gas–Liquid Critical Point, L. V. Woodcock, International Journal of Thermophysics (2018) 39:120 I.H. Umirzakov Institute of Thermophysics, Novosibirsk, Russia [email protected] Abstract These comments are a response to the discussion presented in the above paper concerning the “New comment on Gibbs Density Surface of Fluid Argon: Revised Critical Parameters” by Umirzakov. Here we show that: Woodcock’s results obtained for the dependencies for the isochoric heat capacity, excess Gibbs energy and coexisting difference functional of argon, and coexisting densities of liquid and vapor of the van der Waals fluid and presented in all Figures are incorrect; his Table includes incorrect values of coexisting difference functional; his paper includes many incorrect equations, mathematical and logical errors and physically incorrect assertions concerning the temperature dependences of the isochoric heat capacity and entropy of real fluids; most of the his conclusions are based on the above errors, incorrect data, incorrect comparisons and incorrect dependencies; and most of his conclusions are invalid. We also show that the van der Waals equation of state quantitatively describes the dependencies of saturation pressure on vapor density and temperature near critical point, and the equation of state can describe qualitatively the reduced excess Gibbs energy, rigidity and densities of coexisting liquid and vapor of argon, including the region near critical point. Keywords Coexistence · Critical point · First-order phase transition · Liquid · Phase equilibrium · Vapor 1. Introduction Our comments are a response to a discussion of the article “New comment on Gibbs Density Surface of Fluid Argon: Revised Critical Parameters” by Umirzakov [1] held in the paper [2]. -
Convolutional Neural Networks for Atomistic Systems
Convolutional neural networks for atomistic systems Kevin Ryczko Department of Physics, University of Ottawa Kyle Mills Department of Physics, University of Ontario Institute of Technology Iryna Luchak Department of Electrical & Computer Engineering, University of British Columbia Christa Homenick National Research Council of Canada Isaac Tamblyn Department of Physics, University of Ontario Institute of Technology Department of Physics, University of Ottawa National Research Council of Canada Abstract We introduce a new method, called CNNAS (convolutional neural networks for atom- istic systems), for calculating the total energy of atomic systems which rivals the com- putational cost of empirical potentials while maintaining the accuracy of ab initio calculations. This method uses deep convolutional neural networks (CNNs), where the input to these networks are simple representations of the atomic structure. We use this approach to predict energies obtained using density functional theory (DFT) for 2D hexagonal lattices of various types. Using a dataset consisting of graphene, hexagonal boron nitride (hBN), and graphene-hBN heterostructures, with and with- out defects, we trained a deep CNN that is capable of predicting DFT energies to an extremely high accuracy, with a mean absolute error (MAE) of 0.198 meV / atom (maximum absolute error of 16.1 meV / atom). To explore our new methodology, arXiv:1706.09496v2 [cond-mat.mtrl-sci] 20 Mar 2018 Email addresses: [email protected] (Kevin Ryczko), [email protected] (Isaac Tamblyn) Preprint submitted to Computational Materials Science March 21, 2018 we investigate the ability of a deep neural network (DNN) in predicting a Lennard- Jones energy and separation distance for a dataset of dimer molecules in both two and three dimensions. -
Real Gas Behavior Pideal Videal = Nrt Holds for Ideal
Real gas behavior Pideal Videal = nRT holds for ideal gas behavior. Ideal gas behavior is based on KMT, p. 345: 1. Size of particles is small compared to the distances between particles. (The volume of the particles themselves is ignored) So a real gas actually has a larger volume than an ideal gas. Vreal = Videal + nb n = number (in moles) of particles Videal = Vreal - nb b = van der Waals constant b (Table 10.5) Pideal (Vreal - nb) = nRT But this only matters for gases in a small volume and with a high pressure because gas molecules are crowded and bumping into each other. CHEM 102 Winter 2011 Ideal gas behavior is based on KMT, p. 345: 3. Particles do not interact, except during collisions. Fig. 10.16, p. 365 Particles in reality attract each other due to dispersion (London) forces. They grab at or tug on each other and soften the impact of collisions. So a real gas actually has a smaller pressure than an ideal gas. 2 Preal = Pideal - n a n = number (in moles) 2 V real of particles 2 Pideal = Preal + n a a = van der Waals 2 V real constant a (Table 10.5) 2 2 (Preal + n a/V real) (Vreal - nb) = nRT Again, only matters for gases in a small volume and with a high pressure because gas molecules are crowded and bumping into each other. 2 CHEM 102 Winter 2011 Gas density and molar masses We can re-arrange the ideal gas law and use it to determine the density of a gas, based on the physical properties of the gas.