Cogeneration Workflows

Purpose

Use cogeneration targeting when a solved thermal target should be screened for above Pinch or below Pinch turbine work opportunities.

Prerequisites

Solve the base thermal case first. Cogeneration is an advanced post-processing workflow; it should be interpreted after the utility structure is understood.

Sample Case

Use pulp_mill.json for Total Site and turbine screening examples.

Runnable Workflow

from OpenPinch import PinchProblem

problem = PinchProblem("pulp_mill.json")
problem.target.indirect_heat_integration()
cogeneration_target = problem.target.cogeneration()
summary = problem.summary_frame()

Expected Output

The cogeneration target adds turbine work and efficiency fields to the solved target context. It does not replace the base thermal answer.

Interpretation

Read cogeneration results in this order:

base thermal target and utility levels
work target
turbine efficiency target
stage details

Key turbine assumptions live on zone.config and include TURB_T_IN, TURB_P_IN, MIN_EFF, LOAD_FRACTION, ETA_MECH, TURB_MODEL, and IS_HIGH_P_COND_FLASH.

Next Steps

Cogeneration Methods for method framing.
PinchProblem for the public accessor.
Service Layer for lower-level orchestration.