How To Understand The Theory Of Thermodynamics

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Second Law of Thermodynamics Alternative Statements There is no simple statement that captures all aspects of the second law. Several alternative formulations of the second law are found in the technical literature. Three prominent ones are: Clausius Statement Kelvin-Planck Statement Entropy Statement

Aspects of the Second Law of Thermodynamics The second law of thermodynamics has many aspects, which at first may appear different in kind from those of conservation of mass and energy principles. Among these aspects are: predicting the direction of processes. establishing conditions for equilibrium. determining the best theoretical performance of cycles, engines, and other devices. evaluating quantitatively the factors that preclude attainment of the best theoretical performance level.

Clausius Statement of the Second Law It is impossible for any system to operate in such a way that the sole result would be an energy transfer by heat from a cooler to a hotter body.

Kelvin-Planck Statement of the Second Law It is impossible for any system to operate in a thermodynamic cycle and deliver a net amount of energy by work to its surroundings while receiving energy by heat transfer from a single thermal reservoir.

Kelvin Temperature Scale Consider systems undergoing a power cycle and a refrigeration or heat pump cycle, each while exchanging energy by heat transfer with hot and cold reservoirs: The Kelvin temperature is defined so that Q Q C H rev cycle = T T C H (Eq. 5.7)

Example: Power Cycle Analysis A system undergoes a power cycle while receiving 1000 kj by heat transfer from a thermal reservoir at a temperature of 500 K and discharging 600 kj by heat transfer to a thermal reservoir at (a) 200 K, (b) 300 K, (c) 400 K. For each case, determine whether the cycle operates irreversibly, operates reversibly, or is impossible. Hot Reservoir T H = 500 K Q H = 1000 kj Power Cycle Cold Reservoir W cycle Q C = 600 kj T C = (a) 200 K, (b) 300 K, (c) 400 K Solution: To determine the nature of the cycle, compare actual cycle performance (η) to maximum theoretical cycle performance (η max ) calculated from Eq. 5.9

Example: Power Cycle Analysis Actual Performance: Calculate η using the heat transfers: Q η = 1 Q C H 600 kj = 1 = 0.4 1000 kj Maximum Theoretical Performance: Calculate η max from Eq. 5.9 and compare to η: TC 200 K (a) ηmax = 1 = 1 = 0. 6 T 500 K H TC 300 K (b) ηmax = 1 = 1 = 0. 4 T 500 K H TC 400 K (c) ηmax = 1 = 1 = 0. 2 T 500 K H η η max 0.4 < 0.6 Irreversibly 0.4 = 0.4 Reversibly 0.4 > 0.2 Impossible

Clausius Inequality The Clausius inequality considered next provides the basis for developing the entropy concept in Chapter 6. The Clausius inequality is applicable to any cycle without regard for the body, or bodies, from which the system undergoing a cycle receives energy by heat transfer or to which the system rejects energy by heat transfer. Such bodies need not be thermal reservoirs.

Clausius Inequality The Clausius inequality is developed from the Kelvin-Planck statement of the second law and can be expressed as: δq T b = σ cycle (Eq. 5.13) where indicates integral is to be performed over all parts of the b boundary and over the entire cycle. subscript indicates integrand is evaluated at the boundary of the system executing the cycle.

Clausius Inequality The Clausius inequality is developed from the Kelvin-Planck statement of the second law and can be expressed as: δq T b = σ cycle (Eq. 5.13) The nature of the cycle executed is indicated by the value of σ cycle : σ cycle = 0 no irreversibilities present within the system σ cycle > 0 irreversibilities present within the system σ cycle < 0 impossible Eq. 5.14

Example: Use of Clausius Inequality A system undergoes a cycle while receiving 1000 kj by heat transfer at a temperature of 500 K and discharging 600 kj by heat transfer at (a) 200 K, (b) 300 K, (c) 400 K. Using Eqs. 5.13 and 5.14, what is the nature of the cycle in each of these cases? Solution: To determine the nature of the cycle, perform the cyclic integral of Eq. 5.13 to each case and apply Eq. 5.14 to draw a conclusion about the nature of each cycle.

Example: Use of Clausius Inequality Applying Eq. 5.13 to each cycle: δq T b = Q T in H Q T out C = σ cycle Hot Reservoir T H = 500 K Q H = 1000 kj Power Cycle W cycle Q C = 600 kj T C = (a) 200 K, (b) 300 K, (c) 400 K Cold Reservoir

Example: Use of Clausius Inequality Applying Eq. 5.13 to each cycle: (a) δq T 1000 kj 600 kj σ cycle = = 1kJ/K σ cycle = +1 kj/k > 0 500 K 200 K b = Q T in H Q T out C = σ cycle Irreversibilities present within system (b) 1000 kj 600 kj σ cycle = = 0 kj/k σ cycle = 0 kj/k = 0 500 K 300 K No irreversibilities present within system (c) 1000 kj 600 kj σ cycle = = 0.5 kj/k σ cycle = 0.5 kj/k < 0 500 K 400 K Impossible

Chapter 6 Using Entropy

Learning Outcomes Demonstrate understanding of key concepts related to entropy and the second law... including entropy transfer, entropy production, and the increase in entropy principle. Evaluate entropy, evaluate entropy change between two states, and analyze isentropic processes, using appropriate property tables.

Learning Outcomes, cont. Represent heat transfer in an internally reversible process as an area on a temperature-entropy diagram. Apply entropy balances to closed systems and control volumes. Evaluate isentropic efficiencies for turbines, nozzles, compressors, and pumps.

Introducing Entropy Change and the Entropy Balance Mass and energy are familiar extensive properties of systems. Entropy is another important extensive property. Just as mass and energy are accounted for by mass and energy balances, entropy is accounted for by an entropy balance. Like mass and energy, entropy can be transferred across the system boundary.

Introducing Entropy Change and the Entropy Balance The entropy change and entropy balance concepts are developed using the Clausius inequality expressed as: δq T b = σ cycle (Eq. 5.13) where σ cycle = 0 no irreversibilities present within the system σ cycle > 0 irreversibilities present within the system σ cycle < 0 impossible Eq. 5.14

Defining Entropy Change Consider two cycles, each composed of two internally reversible processes, process A plus process C and process B plus process C, as shown in the figure. Applying Eq. 5.13 to these cycles gives, where σ cycle is zero because the cycles are composed of internally reversible processes.

Defining Entropy Change Subtracting these equations: Since A and B are arbitrary internally reversible processes linking states 1 and 2, it follows that the value of the integral is independent of the particular internally reversible process and depends on the end states only.

Defining Entropy Change Recalling (from Sec. 1.3.3) that a quantity is a property if, and only if, its change in value between two states is independent of the process linking the two states, we conclude that the integral represents the change in some property of the system. We call this property entropy and represent it by S. The change in entropy is (Eq. 6.2a) where the subscript int rev signals that the integral is carried out for any internally reversible process linking states 1 and 2.

Defining Entropy Change Equation 6.2a allows the change in entropy between two states to be determined by thinking of an internally reversible process between the two states. But since entropy is a property, that value of entropy change applies to any process between the states internally reversible or not. Entropy change is introduced by the integral of Eq. 6.2a for which no accompanying physical picture is given. Still, the aim of Chapter 6 is to demonstrate that entropy not only has physical significance but also is essential for thermodynamic analysis.

Entropy Facts Entropy is an extensive property. Like any other extensive property, the change in entropy can be positive, negative, or zero: By inspection of Eq. 6.2a, units for entropy S are kj/k and Btu/ o R. Units for specific entropy s are kj/kg K and Btu/ lb or.

Entropy Facts For problem solving, specific entropy values are provided in Tables A-2 through A-18. Values for specific entropy are obtained from these tables using the same procedures as for specific volume, internal energy, and enthalpy, including use of (Eq. 6.4) for two-phase liquid-vapor mixtures, and (Eq. 6.5) for liquid water, each of which is similar in form to expressions introduced in Chap. 3 for evaluating v, u, and h.

Entropy Facts For problem solving, states often are shown on property diagrams having specific entropy as a coordinate: the temperature-entropy and enthalpy-entropy (Mollier) diagrams shown here

Entropy and Heat Transfer By inspection of Eq. 6.2a, the defining equation for entropy change on a differential basis is (Eq. 6.2b) Equation 6.2b indicates that when a closed system undergoing an internally reversible process receives energy by heat transfer, the system experiences an increase in entropy. Conversely, when energy is removed by heat transfer, the entropy of the system decreases. From these considerations, we say that entropy transfer accompanies heat transfer. The direction of the entropy transfer is the same as the heat transfer.

Entropy and Heat Transfer In an internally reversible, adiabatic process (no heat transfer), entropy remains constant. Such a constantentropy process is called an isentropic process. On rearrangement, Eq. 6.2b gives Integrating from state 1 to state 2, (Eq. 6.23)

Entropy and Heat Transfer From this it follows that an energy transfer by heat to a closed system during an internally reversible process is represented by an area on a temperature-entropy diagram:

Entropy Balance for Closed Systems The entropy balance for closed systems can be developed using the Clausius inequality expressed as Eq. 5.13 and the defining equation for entropy change, Eq. 6.2a. The result is where the subscript b indicates the integral (Eq. 6.24) is evaluated at the system boundary. In accord with the interpretation of σ cycle in the Clausius inequality, Eq. 5.14, the value of σ in Eq. 6.24 adheres to the following interpretation σ: = 0 (no irreversibilities present within the system) > 0 (irreversibilities present within the system) < 0 (impossible)

Entropy Balance for Closed Systems That σ has a value of zero when there are no internal irreversibilities and is positive when irreversibilities are present within the system leads to the interpretation that σ accounts for entropy produced (or generated) within the system by action of irreversibilities. Expressed in words, the entropy balance is change in the amount of entropy contained within the system during some time interval net amount of entropy transferred in across the system boundary accompanying heat transfer during some time interval + amount of entropy produced within the system during some time interval

Entropy Balance for Closed Systems Example: One kg of water vapor contained within a piston-cylinder assembly, initially at 5 bar, 400 o C, undergoes an adiabatic expansion to a state where pressure is 1 bar and the temperature is (a) 200 o C, (b) 100 o C. Using the entropy balance, determine the nature of the process in each case. Since the expansion occurs adiabatically, Eq. 6.24 reduces to give S 2 0 δ = 2 Q S1 1 T b + σ m(s 2 s 1 ) = σ (1) Boundary where m = 1 kg and Table A-4 gives s 1 = 7.7938 kj/kg K.

Entropy Balance for Closed Systems (a) Table A-4 gives, s 2 = 7.8343 kj/kg K. Thus Eq. (1) gives σ = (1 kg)(7.8343 7.7938) kj/kg K = 0.0405 kj/k Since σ is positive, irreversibilities are present within the system during expansion (a). (b) Table A-4 gives, s 2 = 7.3614 kj/kg K. Thus Eq. (1) gives σ = (1 kg)(7.3614 7.7938) kj/kg K = 0.4324 kj/k Since σ is negative, expansion (b) is impossible: it cannot occur adiabatically.

Entropy Balance for Closed Systems More about expansion (b): Considering Eq. 6.24 < 0 = < 0 + 0 Since σ cannot be negative and For expansion (b) ΔS is negative, then By inspection the integral must be negative and so heat transfer from the system must occur in expansion (b).

Entropy Rate Balance for Closed Systems On a time rate basis, the closed system entropy rate balance is where (Eq. 6.28) ds dt Q T j j = = the time rate of change of the entropy of the system the time rate of entropy transfer through the portion of the boundary whose temperature is T j σ = time rate of entropy production due to irreversibilities within the system

Entropy Rate Balance for Closed Systems Example: An inventor claims that the device shown generates electricity at a rate of 100 kj/s while receiving a heat transfer of energy at a rate of 250 kj/s at a temperature of 500 K, receiving a second heat transfer at a rate of 350 kj/ s at 700 K, and discharging energy by heat transfer at a rate of 500 kj/s at a temperature of 1000 K. Each heat transfer is positive in the direction of the accompanying arrow. For operation at steady state, evaluate this claim. Q 1 = 250 kj/s T 1 = 500 K Q 2 = 350 kj/s T 2 = 700 K T 3 = 1000 K + Q 3 = 500 kj/s

Entropy Rate Balance for Closed Systems Applying an energy rate balance at steady state de dt 0 = Q + Q Q = 0 1 2 3 W e Solving W e = 250 kj/s+ 350 kj/s 500 kj/s = 100kJ/s The claim is in accord with the first law of thermodynamics. Applying an entropy rate balance at steady state Solving 250 kj/s σ = 500 K σ = ( 0.5 + 0.5 0.5) ds dt = 350 kj/s 500 kj/s + 700 K 1000 K kj/s kj/s = 0.5 K K Q 0 = T 1 1 Q + T 2 2 Q T Since σ is negative, the claim is not in accord with the second law of thermodynamics and is therefore denied. 0 3 3 + σ

Entropy Rate Balance for Control Volumes Like mass and energy, entropy can be transferred into or out of a control volume by streams of matter. Since this is the principal difference between the closed system and control volume entropy rate balances, the control volume form can be obtained by modifying the closed system form to account for such entropy transfer. The result is (Eq. 6.34) m m e s where i s i and e account, respectively, for rates of entropy transfer accompanying mass flow at inlets i and exits e.

Entropy Rate Balance for Control Volumes For control volumes at steady state, Eq. 6.34 reduces to give (Eq. 6.36) For a one-inlet, one-exit control volume at steady state, Eq. 6.36 reduces to give (Eq. 6.37) where 1 and 2 denote the inlet and exit, respectively, and is the common mass flow rate at these locations. m

Entropy Rate Balance for Control Volumes Example: Water vapor enters a valve at 0.7 bar, 280 o C and exits at 0.35 bar. (a) If the water vapor undergoes a throttling process, determine the rate of entropy production within the valve, in kj/k per kg of water vapor flowing. (b) What is the source of entropy production in this case? p 1 = 0.7 bar T 1 = 280 o C p 2 = 0.35 bar h 2 = h 1 (a) For a throttling process, there is no significant heat transfer. Thus, Eq. 6.37 reduces to 0 0 = Q j + m s s σ T j j ( 1 2 ) + cv ( ) 1 2 cv 0 = m s s + σ

Entropy Rate Balance for Control Volumes Solving σ m cv = s 2 s 1 From Table A-4, h 1 = 3035.0 kj/kg, s 1 = 8.3162 kj/kg K. For a throttling process, h 2 = h 1 (Eq. 4.22). Interpolating in Table A-4 at 0.35 bar and h 2 = 3035.0 kj/kg, s 2 = 8.6295 kj/kg K. Finally σ cv m = (8.6295 8.3162) kj/kg K = 0.3133 kj/kg K (b) Selecting from the list of irreversibilities provided in Sec. 5.3.1, the source of the entropy production here is the unrestrained expansion to a lower pressure undergone by the water vapor.

Entropy Rate Balance for Control Volumes Comment: The value of the entropy production for a single component such as the throttling valve considered here often does not have much significance by itself. The significance of the entropy production of any component is normally determined through comparison with the entropy production values of other components combined with that component to form an integrated system. Reducing irreversibilities of components with the highest entropy production rates may lead to improved thermodynamic performance of the integrated system. p 1 = 0.7 bar T 1 = 280 o C p 2 = 0.35 bar h 2 = h 1