Entropy, Clausius inequality and entropy generation

The Clausius inequality, entropy as a property, entropy transfer and generation, the increase-of-entropy principle, T ds relations, entropy change of ideal gases and solids, and T–s diagrams.

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Why it matters

Entropy turns the second law into a number you can calculate. It tells you whether a process can happen, how far a real compressor or turbine falls short of ideal (isentropic efficiency), and how much potential work is destroyed by friction, mixing and heat transfer across temperature differences. T–s diagrams of every power and refrigeration cycle are built on it.

Key ideas

Clausius inequality. For any closed system executing a cycle, ∮ δQ/T ≤ 0, where T is the absolute temperature at the boundary where δQ crosses. The equality holds for a reversible cycle, the inequality for an irreversible one; a cycle with ∮δQ/T > 0 is impossible.

Entropy as a property. Because ∮(δQ/T)_rev = 0 for every reversible cycle, the integrand is the differential of a property, entropy S: dS = (δQ/T)_rev. ΔS between two states is the same for every path, but you must calculate it along a reversible path (any convenient one) between the end states.

Entropy change of a closed system. For any process S₂ − S₁ = ∫δQ/T + S_gen, where the integral is the entropy transfer with heat and S_gen ≥ 0 is the entropy generated by irreversibilities inside the boundary. Work carries no entropy. S_gen = 0 only for an internally reversible process; S_gen < 0 is impossible. Note that the system's entropy can fall if it rejects heat — only S_gen has a fixed sign.

Increase-of-entropy principle. For an isolated system (or system + surroundings) no heat crosses the outer boundary, so ΔS_isolated = S_gen ≥ 0. Real processes move isolated systems toward higher entropy; equilibrium is the state of maximum entropy.

Gibbs (T ds) relations. For a simple compressible substance: T·ds = du + p·dv and T·ds = dh − v·dp. They relate properties only, so they hold for any process (reversible or not), and they are the starting point for every Δs formula.

Special cases.

  • Reversible adiabatic → isentropic (Δs = 0). An adiabatic process with friction has Δs > 0.
  • Reversible isothermal heat transfer → ΔS = Q/T.
  • Reservoir → ΔS = Q/T_reservoir (Q positive into the reservoir).
  • Phase change at constant p and T → Δs = h_fg/T_sat.

T–s diagram. The area under an internally reversible path on a T–s diagram is the heat transferred, q = ∫T ds. A Carnot cycle is a rectangle; isentropic processes are vertical lines.

Isentropic efficiency compares a real adiabatic device with the isentropic one between the same pressures: turbine η_T = (h₁ − h₂)/(h₁ − h₂s), compressor η_C = (h₂s − h₁)/(h₂ − h₁).

Formulas

∮ δQ/T ≤ 0 dS = (δQ/T)_rev ΔS = ∫δQ/T + S_gen, with S_gen ≥ 0 Δs = cp·ln(T₂/T₁) − R·ln(p₂/p₁) (ideal gas, constant cp) Δs = cv·ln(T₂/T₁) + R·ln(v₂/v₁) (ideal gas, constant cv) Δs = c·ln(T₂/T₁) (incompressible solid or liquid) ΔS_reservoir = Q/T_res S_gen = ΔS_system + ΔS_surroundings ≥ 0

  • S: entropy, kJ/K; s: specific entropy, kJ/(kg·K)
  • δQ: heat transfer, kJ; T: absolute temperature at the boundary, K
  • cp, cv, c, R: kJ/(kg·K); p: absolute pressure; v: specific volume
  • S_gen: entropy generated, kJ/K (≥ 0)

Worked examples

Example 1 (standard). Air is taken from 300 K, 100 kPa to 600 K, 500 kPa. Find the change in specific entropy. cp = 1.005, R = 0.287 kJ/(kg·K).

  1. Δs = cp·ln(T₂/T₁) − R·ln(p₂/p₁)
  2. = 1.005 × ln 2 − 0.287 × ln 5 = 0.6966 − 0.4619
  3. = 0.2347 kJ/(kg·K) — independent of how the change was made.

Example 2 (GATE level). A 2 kg copper block (c = 0.386 kJ/(kg·K)) at 500 K is dropped into 10 kg of water (c = 4.18 kJ/(kg·K)) at 300 K in an insulated, rigid container. Find the final temperature and the entropy generated.

  1. Energy balance (no Q, no W): m_c·c_c·(T_f − 500) + m_w·c_w·(T_f − 300) = 0
  2. T_f = (0.772 × 500 + 41.8 × 300)/(0.772 + 41.8) = (386 + 12 540)/42.572 = 303.63 K
  3. Copper: ΔS = m·c·ln(T_f/T₁) = 0.772 × ln(303.63/500) = −0.3851 kJ/K
  4. Water: 41.8 × ln(303.63/300) = +0.5023 kJ/K
  5. Isolated combination: S_gen = ΣΔS = −0.3851 + 0.5023 = +0.1172 kJ/K (positive, so the process is irreversible, as expected for heat transfer across a finite ΔT).

Common mistakes

  • Using ΔS = Q/T for an irreversible process or a varying temperature; integrate along a reversible path instead.
  • Believing the entropy of a system can never decrease. Only the entropy of an isolated system (or S_gen) cannot.
  • Using °C inside ln(T₂/T₁) — it must be kelvin.
  • Using the pressure term with the wrong sign: raising pressure at constant T lowers entropy.
  • Treating every adiabatic process as isentropic.
  • Forgetting the surroundings when asked for total entropy change.

For GATE AE

Expect entropy-change numericals for ideal gases (often with a pressure and temperature change), mixing or quenching problems asking for S_gen, heat transfer between reservoirs, and isentropic-efficiency problems for compressors and turbines in propulsion contexts. Conceptual one-markers test the Clausius inequality, when S_gen is zero, and the shape of processes on a T–s diagram. Practise checking the sign of S_gen as a sanity test for every answer.

Quick check

  1. 500 J of heat is added reversibly at a constant 250 K. Find ΔS.
  2. ∮δQ/T for a cycle is +0.2 kJ/K. Is the cycle possible?
  3. Can the entropy of a closed system decrease? How?
  4. What is the entropy change in a reversible adiabatic process?
  5. 5 kg of water (c = 4.18 kJ/(kg·K)) is heated from 25 °C to 75 °C. Find ΔS.

Answers: 1. 2 J/K. 2. No — it violates the Clausius inequality. 3. Yes, by rejecting heat (entropy leaves with the heat). 4. Zero. 5. About 3.24 kJ/K.

Try answering each one aloud before you open it.

  1. 1.What is entropy in the context of thermodynamics?Concept

    Entropy S is a property defined by dS = (δQ/T)_rev, so its change between two states is fixed by the states alone. A system's entropy changes by entropy transfer with heat (∫δQ/T) plus entropy generated by irreversibilities (S_gen ≥ 0); it can rise or fall depending on the direction of heat transfer, but the entropy of an isolated system can only increase or, in the reversible limit, stay constant. Microscopically it measures the number of molecular arrangements consistent with the macroscopic state, and T₀·S_gen measures the work potential destroyed.

  2. 2.Explain the Clausius inequality and its significance in thermodynamics.Concept

    The Clausius inequality states that for any cyclic process, the integral of δQ/T over the cycle is less than or equal to zero, where δQ is the heat transfer and T is the temperature. This inequality is a mathematical expression of the second law of thermodynamics and indicates that entropy can never decrease in an isolated system. It helps in determining the direction of spontaneous processes and the feasibility of thermodynamic cycles.

  3. 3.How is entropy generation related to the irreversibility of a process?Concept

    Entropy generation is a measure of the irreversibility of a process. In any real process, some energy is dissipated due to irreversibilities such as friction, unrestrained expansion, or heat transfer across a finite temperature difference. This dissipation results in an increase in entropy, known as entropy generation. The greater the entropy generation, the more irreversible the process.

  4. 4.Why is entropy considered a state function?Concept

    Entropy is considered a state function because its value depends only on the current state of the system, not on the path taken to reach that state. This means that the change in entropy between two states is the same regardless of the process used to transition between those states. This property is crucial for analyzing thermodynamic cycles and processes.

  5. 5.What happens to the entropy of an isolated system during a spontaneous process?Application

    During a spontaneous process in an isolated system, the entropy of the system always increases. This is a consequence of the second law of thermodynamics, which states that the total entropy of an isolated system can never decrease over time. Spontaneous processes are irreversible, and the increase in entropy reflects the system's progression towards equilibrium.

  6. 6.How does the concept of entropy apply to the efficiency of heat engines?Application

    Entropy plays a crucial role in determining the efficiency of heat engines. According to the second law of thermodynamics, no heat engine can be 100% efficient because some energy is always lost as waste heat, increasing the entropy of the surroundings. The efficiency of a heat engine is limited by the Carnot efficiency, which depends on the temperature difference between the heat source and sink. Minimizing entropy generation in the engine's processes can help improve efficiency.

  7. 7.What is the impact of entropy generation on the performance of refrigeration cycles?Application

    Entropy generation in refrigeration cycles leads to a decrease in their performance. It results in higher energy consumption for the same cooling effect, reducing the coefficient of performance (COP) of the cycle. Minimizing entropy generation through better design and operation can improve the efficiency and effectiveness of refrigeration systems.

  8. 8.Calculate the change in entropy when 5 kg of water at 25°C is heated to 75°C at constant pressure. Assume the specific heat capacity of water is 4.18 kJ/kg·K.Numerical

    Treat water as incompressible: ΔS = m·c·ln(T₂/T₁) with temperatures in kelvin, T₁ = 298.15 K and T₂ = 348.15 K. ln(348.15/298.15) = 0.1550, so ΔS = 5 × 4.18 × 0.1550 ≈ 3.24 kJ/K. The result is positive because heat is added, and it is independent of whether the heating was reversible.

  9. 9.Explain why entropy is often associated with the concept of 'time's arrow' in thermodynamics.Concept

    Entropy is associated with 'time's arrow' because it provides a direction to the flow of time in thermodynamic processes. In an isolated system, entropy tends to increase, indicating a progression from order to disorder. This irreversible increase in entropy aligns with our perception of time moving forward, as processes naturally evolve towards equilibrium and maximum entropy.

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