In
a multicomponent distillation configuration, there are numerous
sources and sinks of heat, and a potential way to reduce the heat
duty requirement is to perform heat integration. Unfortunately, an
algorithmic search of the optimal heat integration opportunities is
intractable when the required temperatures of intermediate streams
are computed via complex models. Instead, in this work, we introduce
pressure-scaled pseudo relative volatility, a new metric to compare
stream temperatures. We justify the use of pseudo relative volatility
by proving that this variable is a monotonically increasing function
of the liquid fraction in a saturated mixture stream. Using this metric,
we derive a shortcut criterion to check the feasibility of various
heat integration opportunities, such as thermal coupling via heat
transfer (TCH). The advantage of this approach is that it circumvents
the need for explicit temperatures and instead relies on composition,
component relative volatilities, and pressurequantities that
are readily available in shortcut models for optimization of distillation
configurations. Leveraging this fact, we propose a new optimization
framework that identifies feasible TCHs that we consider within the
formulation while minimizing the total heat duty of a distillation
configuration. We demonstrate, on a few examples, that our formulation
can identify heat duty efficient configurations, some of which are
multieffect configurations. Using this methodology, we discover configurations
that are not only simpler than the fully thermally coupled (FTC) configuration
but also have a much lower heat duty.