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Change in Entropy (Reversible Process)

Entropy is a measure of disorder or energy spread in a system. For a reversible process at constant temperature, the change in entropy equals the heat added divided by the absolute temperature. For example, adding 1000 J of heat to a system at 300 K increases its entropy by 3.33 J/K. Entropy always increases in real (irreversible) processes, which is the second law of thermodynamics. It explains why heat flows from hot to cold and why perpetual motion machines are impossible.

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Entropy Change Calculator

Solve the reversible-process entropy relation ΔS = Q / T for any of its three unknowns — entropy change, heat transfer, or absolute temperature — with step-by-step math, a live heat-reservoir schematic, T–S diagram, and the full second-law picture.

ΔS = Q / T · reversible process
Solve for
Entropy Change (ΔS) Change in entropy of the system during a reversible process. Entropy is a state function measured in joules per kelvin. At the molecular scale, ΔS = kB · ln(Ω2/Ω1), so 1 J/K corresponds to a multiplicity ratio of about e7.24×10²² — an unthinkably large number. Positive ΔS means the system gained entropy; negative means it lost entropy (possible only if heat flowed out).
J/K
Entropy change must be greater than zero.
= 0.100 kJ/K = 23.90 cal/K = 0.0526 BTU/°R
Heat Transfer (Q) Heat added to (positive Q) or removed from (negative Q) the system. The magnitude of the entropy change depends only on the heat and the temperature at which it crosses the boundary. Typical: 100 J for a small lab calorimeter, 10 kJ for boiling a cup of water, 30 kJ for a small engine cycle, 100 MJ for a power-plant boiler, 1 GJ for a large industrial furnace.
J
Heat transfer must be greater than zero.
= 30.00 kJ = 7.170 kcal = 28.43 BTU
Temperature (T) Absolute temperature at which the heat transfer occurs, in kelvin. The relation ΔS = Q/T requires an absolute scale — never °C or °F. For a non-isothermal process, use the integral ΔS = ∫ dQrev/T. Typical: 77 K for liquid nitrogen, 273.15 K for ice/water, 300 K for ambient, 373.15 K for boiling water, 811 K for a steam turbine inlet, 1,800 K for a gas-turbine combustor.
K
Temperature must be greater than zero kelvin.
= 26.85 °C = 80.33 °F
ENTROPY CHANGE (ΔS)
100.0 J/K
0.1000 kJ/K · 23.90 cal/K · 0.0526 BTU/°R
MODERATE — SMALL HEAT ENGINE / CHEMICAL REACTION
ΔS = Q / T
Step-by-step solution
ΔS vs. heat Q
Current T T × 0.6 T × 1.5
ΔS vs. temperature T
Current Q Q × 0.5 Q × 2
Temperature–entropy (T–S) diagram
Reversible isothermal path Shaded area = Q = T · ΔS
Sensitivity
Companion thermodynamic metrics
Heat transfer and entropy generation — live schematic
REVERSIBLE HEAT TRANSFER · ΔS = Q / T THERMAL RESERVOIR T = 300 K Q = 30,000 J Q SYSTEM T = 300 K Q_in = +30,000 J ΔS = +100 J/K ΔS T = 300 K entropy scale 0 → 1,000 J/K 0 1,000 J/K ΔS = Q / T = 30,000 / 300 = 100 J/K
Thermal reservoir at temperature T Heat Q crossing the boundary reversibly Entropy change of the system
What the entropy relation really measures
ΔSentropy change
=
Qheat transferred
÷
Tabsolute temperature

The same heat causes less entropy at higher T

Because ΔS = Q/T, a fixed amount of heat produces a smaller entropy change when the temperature is higher. Adding 30 kJ to a system at 300 K changes its entropy by 100 J/K, but adding the same 30 kJ at 1,000 K changes it by only 30 J/K. This is why high-temperature heat sources are thermodynamically "cleaner" — they deliver the same energy with less disorder, and consequently the Carnot efficiency of an engine running between that source and a fixed sink is higher.

Entropy is a state function

ΔS depends only on the initial and final states, not on the path taken between them. For a reversible process between two states the entropy change is always ∫ dQrev/T, regardless of how the process is carried out. For an irreversible process between the same two states, the entropy change of the system is the same, but the integral ∫ dQ/T along the actual path is smaller — that difference is the entropy generation Sgen ≥ 0, which is the mathematical statement of the second law.

Sign convention and the second law

When Q is positive (heat added to the system) ΔS is positive — the system gains entropy. When Q is negative (heat removed) ΔS is negative — the system loses entropy, which is perfectly allowed because the surroundings gain at least as much. The second law requires that the total entropy of system plus surroundings never decreases: ΔSsys + ΔSsurr ≥ 0. For a reversible process the equality holds; for an irreversible process the sum is strictly positive.

Boltzmann's microscopic meaning

Entropy has a microscopic interpretation: S = kB · ln Ω, where Ω is the number of microstates consistent with the macroscopic state. A change of ΔS = 1 J/K corresponds to multiplying the number of available microstates by eΔS/kB = e7.24 × 10²², a number with roughly 3 × 10²² digits. This is why entropy is often described as a measure of "missing information": the larger ΔS, the more microscopic configurations the system has gained access to.

How to Use This Calculator

The reversible entropy relation links three quantities: ΔS, Q, and T. Pick which one you want the tool to solve, then fill in the other two.

1. Choose what to solve for

Pick ΔS, Q, or T from the toggle. The calculator rearranges ΔS = Q / T automatically for whichever you choose.

2. Use realistic presets

Entropy presets run from 1 to 10,000 J/K, heat from 100 J to 1 MJ, and temperature from 77 K (liquid nitrogen) to 1,000 K (combustor).

3. Match units carefully

Temperature must be absolute (kelvin), not °C or °F. Heat is entered in joules, entropy in J/K. Each field hint shows the value in alternative units — kJ, kcal, BTU for heat; kJ/K, cal/K, BTU/°R for entropy.

4. Read the result and verdict

The result card shows the answer plus a colour-coded verdict classifying the entropy change from molecular-scale to industrial-plant scale.

5. Check the schematic and charts

The schematic shows heat flowing from a reservoir into a system, with a thermometer tracking T, a Q bar gauge, and an entropy gauge. The chart plots ΔS against Q for three temperatures.

6. Switch to Advanced for depth

Advanced mode adds ΔS vs. T, a T–S diagram with the shaded area equal to Q, a sensitivity check on +1% input changes, and companion metrics including Carnot efficiency, maximum work, and the Boltzmann multiplicity ratio.

What This Tool Offers

Built around the reversible-process relation ΔS = Q / T, the thermodynamic definition of entropy change.

Three-way solving

Solve for entropy change, heat transfer, or temperature. The calculator rearranges the formula for whichever variable you choose.

Live heat-transfer schematic

A reservoir-to-system diagram with a scaled heat-flow arrow, a thermometer that rises with T, a Q bar gauge, and an entropy gauge.

Entropy-class verdict

Each result is classified from molecular-scale through lab, engine, and power-plant scales up to large industrial processes, with a coloured badge.

Multi-unit hints

Each field shows the value converted to related units — kJ, kcal, BTU for heat; kJ/K, cal/K, BTU/°R for entropy; °C and °F for temperature.

Triple chart set

ΔS vs. Q for three temperatures, ΔS vs. T for three heat inputs, and a T–S diagram whose shaded area equals Q.

Reference tables

Entropy change for eight heat inputs at six temperatures, typical entropy changes by process, and a full variable reference table.

Reference Tables & Conversions

A heat converter, an entropy converter, a temperature converter, and lookup tables by process type.

Heat (energy) unit converter

J
kJ
kcal
BTU
Wh
= 30,000 J = 30.00 kJ = 7.170 kcal = 28.43 BTU = 8.333 Wh

Entropy unit converter

J/K
kJ/K
cal/K
BTU/°R
kB
= 100 J/K = 0.100 kJ/K = 23.90 cal/K = 0.0526 BTU/°R

Temperature unit converter

K
°C
°F
°R
= 300 K = 26.85 °C = 80.33 °F = 540.00 °R

Entropy Change Lookup (J/K)

Computed from ΔS = Q / T for each heat input and temperature.

Q (J)T = 77.36 KT = 273.15 KT = 300 KT = 373.15 KT = 500 KT = 1000 K

Typical Entropy Changes by Process

Representative values to sanity-check your inputs.

ProcessQ (J)T (K)ΔS (J/K)Notes
Single molecule absorbing one photon≈ 4×10⁻¹⁹300≈ 1.3×10⁻²¹Molecular-scale event
Melting 1 g of ice334273.151.22Latent heat of fusion
Boiling 1 g of water2,260373.156.06Latent heat of vaporisation
Heating 1 kg of water by 1 K4,18430013.9cp = 4,184 J/(kg·K)
Burning 1 g of methane50,000300167Combustion at ambient
Small engine cycle (1 kW × 30 s)30,00050060Reversible approximation
Boiling 1 kg of water2.26×10⁶373.156,057Domestic kettle
Steam-turbine stage1.0×10⁶8111,233Power-plant expansion
Large industrial furnace (1 GJ)1.0×10⁹1,500666,667Steel reheating

Variable Reference

SymbolMeaningTypical rangeUnits
ΔSEntropy change0.001 – 10⁶J/K
QHeat transferred (reversible)1 – 10⁹J
TAbsolute temperature1 – 5,000K
SgenEntropy generation (irreversible)≥ 0J/K
kBBoltzmann constant1.380649 × 10⁻²³J/K
ΩNumber of microstates≥ 1—
RUniversal gas constant8.314462618J/(mol·K)

What Does ΔS = Q / T Measure?

Entropy is the thermodynamic quantity that measures how much energy has been dispersed at a given temperature. The relation ΔS = Q/T says something precise and simple: when a small amount of heat Q crosses a boundary at absolute temperature T during a reversible process, the entropy of the receiving system rises by Q/T, and the entropy of the giving system falls by the same amount. If the process is irreversible, the system's entropy change is the same but the entropy of the universe increases by the amount of irreversibility, Sgen ≥ 0.

Entropy Change Formula

The defining relationship for a reversible heat transfer is:

ΔS = Q / T

Rearranged to solve for the other two unknowns:

Q = ΔS · T
T = Q / ΔS

For a process that is not isothermal, the relation becomes the integral:

ΔS = ∫ dQrev / T

For an ideal gas with constant specific heat, this evaluates to ΔS = m·cv·ln(T₂/T₁) + m·R·ln(V₂/V₁), or equivalently ΔS = m·cp·ln(T₂/T₁) − m·R·ln(P₂/P₁). For a phase change at constant T, the simple form ΔS = Q/T applies directly with Q equal to the latent heat.

Entropy Variables

SymbolMeaningNotes
ΔSEntropy changeState function; J/K in SI
QHeat transferred reversiblyPositive when heat enters the system
TAbsolute temperatureMust be in kelvin; the temperature at the boundary
SgenEntropy generationAlways ≥ 0; equals zero only for a reversible process
ΩNumber of microstatesS = kB ln Ω

How Each Variable Affects Entropy Change

The relation is linear in Q and inverse in T. Doubling the heat doubles the entropy change at the same temperature. Doubling the temperature halves the entropy change for the same heat. Because the relation is a simple ratio, the two effects are independent and multiply together: adding twice as much heat at half the temperature quadruples the entropy change.

This inverse dependence on temperature is the thermodynamic reason why high-temperature heat is more valuable. A joule of heat delivered at 1,500 K carries only one-fifth the entropy of a joule delivered at 300 K. Engines that receive heat at high temperature and reject it at low temperature can convert a larger fraction of it to work — that is the Carnot limit, η = 1 − Tcold/Thot. It is also why low-temperature heat (geothermal, waste heat, ocean thermal) is so hard to convert efficiently: it carries a large amount of entropy per joule.

Entropy Change Calculation Examples

Given: Q = 30,000 J, T = 300 K — solve for ΔS
ΔS = 30,000 / 300 = 100 J/K
Given: ΔS = 100 J/K, T = 300 K — solve for Q
Q = 100 × 300 = 30,000 J
Given: ΔS = 100 J/K, Q = 30,000 J — solve for T
T = 30,000 / 100 = 300 K
Given: 1 kg of water heated from 300 K to 350 K at c = 4,184 J/(kg·K)
ΔS = m·c·ln(T₂/T₁) = 1 × 4,184 × ln(350/300) = 645.5 J/K
Given: 1 g of ice melting at 273.15 K, latent heat 334 J/g
ΔS = Q/T = 334 / 273.15 = 1.223 J/K

Frequently Asked Questions

Because entropy is defined through the reversible path. For an irreversible process the system still has a well-defined entropy change — since entropy is a state function — but it cannot be computed as Q/T for the actual path, because the actual heat transfer is smaller than the reversible heat transfer would have been. The correct procedure is to imagine a reversible path connecting the same initial and final states, compute ΔS = ∫ dQrev/T along that path, and use the fact that entropy is path-independent to assign that value to the irreversible process. The difference between the actual and reversible heat is the entropy generation, Sgen = ΔS − ∫ dQ/T ≥ 0.

Yes — the entropy of a system can decrease, but only if heat flows out of it or if it does work on its surroundings. Freezing water lowers its entropy; compressing a gas isothermally and removing the heat lowers its entropy; a refrigerator lowers the entropy of its cold interior. What can never happen is a decrease in the total entropy of system plus surroundings. The second law says ΔStotal ≥ 0 always, with equality only for a reversible process. Every real refrigerator lowers the entropy of its interior while raising the entropy of the room by a larger amount.

Entropy change ΔS is a property of a system between two states — it is a state function and can be positive, negative, or zero. Entropy generation Sgen is a property of a process — it is always greater than or equal to zero, and it measures the irreversibility of that process. They are related by the entropy balance: ΔSsystem = ∫ dQ/Tboundary + Sgen. For a reversible process Sgen = 0 and the two terms on the right reduce to the simple Q/T of the reversible relation. For any real process Sgen > 0, and that excess is the entropy created by friction, mixing, finite-rate heat transfer, or unrestrained expansion.

Very directly. In a Carnot cycle the working fluid absorbs heat QH at TH and rejects QC at TC. Because the cycle is reversible, the entropy gained at the hot side equals the entropy lost at the cold side: QH/TH = QC/TC. The work output is W = QH − QC, and dividing by QH gives the Carnot efficiency η = 1 − TC/TH. Any real engine generates entropy, so QC is larger than the reversible value, and the actual efficiency is lower than Carnot. The entropy balance is the cleanest way to see why the Carnot limit is a hard ceiling.

Boltzmann's equation S = kB · ln Ω gives the microscopic meaning: entropy is a logarithmic measure of how many microscopic arrangements (microstates) are compatible with the observed macroscopic state. A gas confined to half a box has fewer accessible microstates than the same gas filling the whole box, so its entropy is lower. When it expands to fill the box, Ω increases enormously and so does S. This is why the second law is ultimately statistical: the system does not "want" to increase its entropy, it simply wanders into whatever macroscopic state has the most microstates, and those are overwhelmingly the high-entropy ones.

Multiply J/K by 0.001 to get kJ/K. Multiply J/K by 0.239006 to get cal/K. Multiply J/K by 0.00052657 to get BTU/°R (the imperial unit, which uses degrees Rankine). To express entropy in units of the Boltzmann constant, divide by kB = 1.380649 × 10⁻²³ J/K; even a modest 1 J/K becomes 7.24 × 10²² kB, which illustrates just how many microscopic configurations are involved. The entropy converter card above performs all these conversions in one step.

Because the second law is the only fundamental law of physics that distinguishes past from future. Newton's laws, Maxwell's equations, and the Schrödinger equation are all time-reversible — run them backwards and they still describe valid physics. But the second law says total entropy never decreases, so a movie of a breaking glass run backwards immediately looks wrong. This asymmetry is statistical in origin: the high-entropy states vastly outnumber the low-entropy ones, so any system starting in a low-entropy state will almost certainly evolve towards higher entropy. The "almost certainly" is doing the work — in principle a broken glass could reassemble, but the probability is so astronomically small that it would not happen in the age of the universe.

Calculating...

Variables

Symbol Quantity Unit
delta_S Change in entropy J/K
Q Heat transferred (reversibly) J
T Absolute temperature at which the transfer occurs K

What it means

Entropy change is defined for a reversible process as the ratio of the heat exchanged to the absolute temperature. This is a state function, meaning ΔS depends only on initial and final states. The second law of thermodynamics states that for any spontaneous process, the total entropy of the universe increases. Entropy is often described as a measure of disorder or randomness. The formula is used in thermodynamics to analyse heat engines, refrigerators, and chemical reactions. It is also crucial in statistical mechanics (Boltzmann formula S = k ln W). Understanding entropy and its changes is fundamental for energy conversion efficiency and for predicting the direction of processes.

Worked example

Change in Entropy – Two Examples

Real‑World
Scenario: 1000 J of heat is added reversibly to a system at 300 K. Find the entropy change.
ParameterValue
Q1000 J
T300 K
1ΔS = Q/T = 1000/300 = 3.33 J/K
Result 3.33 J/K ✓ Positive
Scenario: 500 J of heat is removed from a system at 250 K. Find ΔS.
ParameterValue
Q-500 J
T250 K
1ΔS = -500/250 = -2.0 J/K
Result -2.0 J/K ✓ Negative
Key insight: ΔS = Q_rev/T – entropy increases for heat added, decreases for heat removed.

Common mistakes

  • Reversible process: This formula applies to reversible processes only – for irreversible, ΔS > Q/T.
  • Temperature T: In kelvin (absolute) – not Celsius.
  • Heat Q: The heat transferred reversibly – in joules.
  • Sign: Heat added to the system (positive Q) increases entropy; heat removed decreases entropy.
  • Entropy is a state function: ΔS depends only on initial and final states, not the path – but the calculation of Q/T is path‑dependent for irreversible paths.

Applications

The change in entropy for a reversible process, ΔS = Q/T, is a central concept in thermodynamics. It quantifies the dispersal of energy and is used to assess the efficiency of heat engines, refrigerators, and chemical reactions. Engineers apply this equation to design power plants, to optimise refrigerators, and to evaluate the feasibility of processes. In materials science, it guides phase transformation studies. The formula is also essential in environmental engineering for analysing energy conversions. By understanding entropy change, professionals can identify irreversibilities, improve efficiency, and design sustainable energy systems.

  • Design of heat engines and power cycles
  • Refrigeration and air conditioning system analysis
  • Chemical reaction feasibility and equilibrium studies
  • Phase change analysis in materials
  • Energy efficiency and environmental impact assessment