Process Optimization

Pinch Analysis

Apply pinch analysis methodology to determine minimum heating and cooling utility requirements and design optimal heat exchanger networks for gas processing and chemical plants.

Minimum ΔT

ΔTmin = 10-30°F

Minimum temperature approach

Pinch Point

No Heat Across Pinch

Golden rule of pinch analysis

Energy Savings

20-40% Typical

Reduction in utility consumption

Use this guide when:

  • Determining minimum utility requirements
  • Designing heat exchanger networks
  • Optimizing energy use in gas plants
  • Evaluating heat integration opportunities

1. Overview

Pinch analysis (also called pinch technology or process integration) is a systematic methodology for minimizing energy consumption in process plants. Developed by Bodo Linnhoff in the late 1970s, it determines the thermodynamic minimum heating and cooling utility requirements for a given set of process streams, and guides the design of heat exchanger networks to approach these targets.

Gas Processing

Amine & Dehy Units

Heat integration between reboilers, condensers, and process streams in gas treating.

NGL Fractionation

Column Integration

Feed/product heat exchange and condenser/reboiler integration in NGL trains.

Crude Stabilization

Preheat Trains

Crude oil preheat using hot product streams before the fired heater.

Utilities

Steam & Cooling Water

Minimize fired heater duty and cooling water by maximizing heat recovery.

The pinch concept: At the pinch point, the available driving force for heat transfer is at its minimum (ΔT_min). The pinch divides the process into a heat sink (above the pinch, needs heating) and a heat source (below the pinch, needs cooling). Transferring heat across the pinch increases both heating and cooling requirements simultaneously.

2. Stream Data Extraction

The first step in pinch analysis is identifying all process streams that require heating or cooling. Each stream is characterized by its supply temperature, target temperature, and heat capacity flow rate (CP).

Stream Classification: Hot streams: Streams that need to be COOLED Supply temperature > Target temperature Release heat to the system Cold streams: Streams that need to be HEATED Supply temperature < Target temperature Absorb heat from the system Heat Capacity Flow Rate: CP = m_dot × C_p (kW/°C or BTU/hr/°F) Where: m_dot = Mass flow rate (lb/hr or kg/s) C_p = Specific heat capacity Stream Duty: Q = CP × |T_supply - T_target| Where Q = Total heat load of the stream (BTU/hr or kW)

Example Stream Data

StreamTypeT_supply (°F)T_target (°F)CP (BTU/hr/°F)Duty (MMBTU/hr)
H1: Amine leanHot25012015,0001.95
H2: Product gasHot20010020,0002.00
C1: Amine richCold11023012,0001.44
C2: Reboiler feedCold1003008,0001.60

3. Composite Curves

Composite curves are the graphical representation of pinch analysis. The hot composite curve combines all hot streams on a temperature-enthalpy (T-H) diagram, and the cold composite curve combines all cold streams. The overlap between the curves represents the maximum heat recovery possible.

Constructing Composite Curves: 1. List all temperature intervals defined by stream supply and target temperatures 2. For each interval, sum the CP values of all streams present in that interval: Hot composite: CP_hot = Σ CP of hot streams Cold composite: CP_cold = Σ CP of cold streams 3. Calculate enthalpy change for each interval: ΔH = CP_composite × ΔT 4. Plot cumulative enthalpy vs temperature Hot composite: starts at highest temperature Cold composite: starts at lowest temperature 5. Slide cold curve horizontally until minimum vertical distance = ΔT_min This horizontal overlap = Maximum heat recovery

Reading the Composite Curves

Information from Composite Curves: Overlap region: Q_recovery = Maximum process-to-process heat exchange Hot end gap (right side): Q_H_min = Minimum hot utility (heating) required This is the thermodynamic minimum - cannot be reduced Cold end gap (left side): Q_C_min = Minimum cold utility (cooling) required This is also a thermodynamic minimum Pinch point: Location where curves are closest (ΔT_min apart) Hot pinch temperature = T_pinch + ΔT_min/2 Cold pinch temperature = T_pinch - ΔT_min/2 Energy balance: Q_H_min + ΣQ_hot = Q_C_min + ΣQ_cold

4. Problem Table Algorithm

The Problem Table Algorithm (PTA) is the numerical method for calculating minimum utility targets and identifying the pinch point. It provides exact results without the need for graphical construction.

Problem Table Algorithm Steps: Step 1: Shift temperatures Hot streams: T_shifted = T_actual - ΔT_min/2 Cold streams: T_shifted = T_actual + ΔT_min/2 This ensures ΔT_min is maintained automatically Step 2: Create temperature intervals Sort all shifted temperatures in descending order Each pair of adjacent temperatures defines an interval Step 3: Calculate interval heat balance ΔH_i = (ΣCP_hot - ΣCP_cold)_i × ΔT_i Positive ΔH: Interval has net heat surplus Negative ΔH: Interval has net heat deficit Step 4: Cascade heat Start with zero heat input at top Cascade heat surplus/deficit downward Find minimum (most negative) cascade value Step 5: Add minimum hot utility Q_H_min = |minimum cascade value| Add this to top of cascade All cascade values become non-negative Zero cascade point = Pinch location Bottom cascade value = Q_C_min

ΔTmin Selection

ApplicationTypical ΔT_minRationale
Gas-gas exchange20-40°FLow heat transfer coefficients
Gas-liquid exchange15-30°FModerate coefficients
Liquid-liquid exchange10-20°FGood heat transfer coefficients
Boiling/condensing5-15°FHigh coefficients, phase change
Cryogenic3-10°FExpensive cold utility, worth the area
Trade-off: Smaller ΔT_min reduces utility costs (more heat recovery) but increases heat exchanger area (capital cost). The optimal ΔT_min balances these competing costs. For most gas processing applications, ΔT_min = 15-25°F is a good starting point.

5. Pinch Design Rules

The Three Golden Rules of Pinch Analysis: Rule 1: Do NOT transfer heat across the pinch Heat transfer from above to below the pinch increases BOTH Q_H and Q_C by the same amount. Every unit of cross-pinch transfer wastes energy. Rule 2: Do NOT use cold utility above the pinch The region above the pinch is a net heat SINK. Using cooling above the pinch creates additional heating demand that must be met by hot utility. Rule 3: Do NOT use hot utility below the pinch The region below the pinch is a net heat SOURCE. Using heating below the pinch creates additional cooling demand that must be met by cold utility. Following all three rules achieves the minimum utility targets identified by the Problem Table.

Violations and Their Cost

ViolationEffect on Q_HEffect on Q_CCommon Example
Heat across pinch (+X)+X increase+X increaseLean/rich amine exchanger spanning pinch
Cold utility above pinch (+Y)+Y increaseNo changeAir cooler on hot stream above pinch
Hot utility below pinch (+Z)No change+Z increaseSteam heater on cold stream below pinch

6. Heat Exchanger Network Design

After establishing the minimum utility targets and pinch location, the heat exchanger network (HEN) is designed to achieve (or approach) these targets. The network is designed separately above and below the pinch, then connected.

Feasibility Criteria at the Pinch: Above the pinch (at the pinch point): Number of hot streams ≤ Number of cold streams CP_hot ≤ CP_cold (for each match) Below the pinch (at the pinch point): Number of cold streams ≤ Number of hot streams CP_cold ≤ CP_hot (for each match) If these criteria are not met: - Split a stream to create additional matches - Stream splitting adds a degree of freedom Minimum Number of Units: N_min = N_streams + N_utilities - N_subsystems For a connected network (1 subsystem): N_min = N_hot + N_cold + N_utilities - 1 Fewer units = simpler network but potentially larger exchangers. More units = more flexibility but higher piping and installation cost.

Grand Composite Curve

Grand Composite Curve (GCC): The GCC plots the net heat flow at each temperature level (from the Problem Table cascade). It shows: 1. The pinch point (where GCC touches zero) 2. Heat pockets (opportunities for integration) 3. Utility placement levels (where to add Q_H, Q_C) Utility Placement from GCC: Hot utility: Place at highest practical temperature Cold utility: Place at lowest practical temperature Multiple utility levels: Read from GCC shape The GCC allows selection of the most cost-effective utility levels (e.g., HP steam vs LP steam vs furnace).

7. Practical Applications in Gas Processing

Amine Unit Heat Integration

Typical Amine Unit Heat Recovery: Hot streams: - Lean amine from reboiler (~250°F to ~120°F) - Overhead condenser (~220°F to ~120°F) Cold streams: - Rich amine to regenerator (~110°F to ~230°F) - Reboiler duty (~240°F to ~260°F) The lean/rich amine exchanger is the primary heat recovery element. Pinch analysis can identify additional opportunities: - Reflux heat recovery - Flash gas heat recovery - Integration with adjacent units

Common Energy Savings Opportunities

OpportunityTypical SavingsImplementation
Lean/rich amine cross-exchanger40-60% of reboiler dutyStandard practice, optimize area
Feed/effluent exchange20-40% of heater dutyAdditional exchanger in preheat train
Column integration (reboiler/condenser)10-30% of column utilityHeat pump or pressure-shifted columns
Waste heat recovery5-15% of total plant energyWHR from compressor exhaust, flare

Limitations and Considerations

  • Pinch analysis assumes constant CP (may need segmentation for large temperature ranges)
  • Phase changes require special handling (latent heat as separate stream)
  • Practical constraints (operability, control, fouling) may prevent achieving minimum targets
  • Retrofit projects face layout and piping constraints not present in grassroots design
  • Safety considerations may prevent certain stream pairings (e.g., hydrocarbon vs. hot utility)
  • Multiple utilities at different temperature levels add complexity to the analysis
Typical results: In gas processing plants, pinch analysis typically identifies 20-40% energy savings compared to a non-integrated design. In practice, 60-80% of the theoretical savings can be captured with reasonable heat exchanger network complexity. The remaining savings may require uneconomic heat exchanger area or impractical stream pairings.