The progressive development of renewable energy technologies is attributed to the
growing energy demand and the depletion of non-renewable resources. Renewable energy
technologies are usually characterized by intermittent availability of resources,
affecting the capability of energy systems to meet projected energy demands. Tri-generation,
or the simultaneous generation of three energy types, becomes a potential solution
wherein integration of renewable energy technologies is used to maximize resource
efficiency. Synthesizing these systems will require the consideration of techno-economic
data and the use of computer-aided techniques to facilitate optimization and design.
Mixed-Integer Linear Programming is a commonly used technique for Process Network
Synthesis, but its application to complex problems becomes problematic due to numerous
alternatives and parameter variations. The Process graph framework offers a less laborious
option with its unambiguous representation of process systems, utilizing three algorithms
in generating all combinatorially feasible solutions that present the user with both
optimal and near-optimal solutions. These become helpful in decision-making especially
when factors such as those impossible to be captured mathematically need to be considered.
This work presents a P-graph model developed for the synthesis and design of multi-period,
biomass-fired, tri-generation systems with a case study for power generation in the
Philippines to demonstrate its capabilities.