Developing processes that use novel, sustainable feedstocks requires a systematic exploration of the relationships between feed composition, desirable products, undesirable
waste streams, and energy requirements. This talk introduces a graphical approach based on the concept of Attainable Regions to analyze the interplay between feeds, stoichiometry,
reaction pathways, and thermodynamic constraints.
The Attainable Mass Balance Region (ARMB) defines the feasible process space by enforcing stoichiometric limits, while the Attainable Thermodynamic Region (ART), a
linear transformation of the ARMB maps the thermodynamically accessible regions in terms of Gibbs free energy and enthalpy. This work presents a unified framework combining the
ARMB with ART offers a simple yet powerful geometric approach to scanning all possible feeds while visualizing process pathways and mapping reaction feasibilities, allowing for the
construction of simple process flowsheets based only on thermodynamic data.
In order to synthesize a viable process design, it is necessary to determine the relationship between feed and thermodynamically favored products.
This is achieved by analyzing how the ART evolves with temperature, allowing process designers to identify optimal reactor feed composition and the necessary recycling strategies to achieve them.
The approach is demonstrated using the nitrogen–hydrogen-oxygen (NHO) system, showcasing its effectiveness in guiding process design. By leveraging the Attainable Region
framework, this methodology streamlines the conceptualization of sustainable manufacturing operations, significantly reducing the complexity of optimizing chemical processes and
paving the way for more efficient and economically viable industrial practices.