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LECTURE ONTHE CONCEPT OF SECOND LAW OF THERMODYNAMICSBYDR. NNABUK OKON EDDY
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Outline Introduction The need for the second law Concept of entropy Statements of the second law Properties of entropy Derivation of equation for entropy Consequences of the second law
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Introduction The second law explains the phenomenon of irreversibility in nature The need for the second law arises because the first law failed in some aspects. For example, It fails to explain why natural processes have a preferred direction The first law fails to produce thermodynamic functions that can be used to predict the direction of a spontaneous reaction The second law deals with entropy
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Entropy The key concept for the explanation of phenomenon through the second law is the definition of a physical property called entropy Entropy is a measure of the degree of disorderliness of a system. A change in entropy of a system is the infinitesimal transfer of heat to a close system driving a reversible process divided by the equilibrium temperature (T) of the system, i.edS = dqrev /T
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Statements of the second law No process is possible whose sole result is the transfer of heat from a body of lower temperature to a body of higher temperature (Clausius-Mussoti) No process is possible in which the sole result is the absorption of heat from a reservoir and its complete conversion into work (Kelvin-Plank) Equivalent ways of stating the laws are i. the entropy of a spontaneous reaction increases and tends toward a maximum ii. After any spontaneous reaction, work must be converted to heat in order to restore the system to its initial state
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Properties of entropy Entropy is a state function: its properties depends on the initial and final state of the system Entropy is additive. i.e ST = S1 + S2 + S3 + ----- Entropy is a probability function
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Derivation of expression for entropy change If the probability of finding a system in state 1 and 2 are W1 and W2, then the probability of finding the system in the two parts is the total probability, W = W1 x W2, S(W) = S(W1) x S(W2) = S(W1) + S(W2) (1) Conditions set by Eq 1 can only be fulfilled if entropy is logarithm dependent, i.e S = log(W1 x W2) = logW1 x logW2 (2) Consider an ideal gas expanding into two systems joined together, the probabilities for the first and second is proportional to their respective volumes, therefore, W1 = aV1, W2 = aV2 and since S is additive, ļS = S2 ā S1 = log(aV2) ā log(aV1) = log(V2/V1) From first law of thermodynamics, it can be shown that the reversible work done = reversible heat absorbed = nRTln(V2/V1) and if we multiply ļS by the constants, 2.303R, we have, qads = T x ļS. It therefore follows that ļS can be expressed as follows ļS = qads/T (3)
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Consequence of the second law of thermodynamics We shall consider the following consequences of the 2nd law of thermodynamics, Entropy change for an ideal gas Entropy of mixing ideal gases Carnot cycle Free energy change
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ļS and spontaneousity of a reaction When ļS is positive, spontaneous reaction When ļS is zero, reaction at equilibrium When ļS is negative, non spontaneous Limitation is that we who measures the entropy are part of the environment. Therefore ļS is not a unique parameter for predicting the direction of a chemical reaction
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ļG and spontaneousity of a reaction ļG > 0, non spontaneous (ļH > TļS) ļG < 0, spontaneous (ļH < TļS) ļG = 0, reaction at equilibrium (ļH = TļS ļG is a state function obtained at constant pressure. At constant volume the state function is work function expressed as ļA = ļE - TļS When ļA > 0, spontaneous When ļA <0 , non spontaneous When ļA = 0, at equilibrium
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CONCLUSION Thermodynamic function obtained from the second law is entropy Entropy is a measure of disorderliness while enthalpy measures orderliness Entropy data must be combined with enthalpy (or internal energy data) in order to predict the direction of a chemical reaction
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