Optimization of Hybrid Renewable Power Generation Flowsheets Using Generic Structural and Temporal Models

Abstract

This work addresses the systemic modelling and optimization of renewable power generation and hydrogen/power storage flowsheets based on representations integrating structural, temporal and logical features. Generic concepts are used based on superstructure models to describe flows and tasks of conversion and accumulation, integrating streams utilized in multi-component material/energy conversions and resulting in flexible representations. These are coupled with the use of logical propositions assembled around generic temporal operating features, supporting the development of conditional statements that represent operating requirements as constraints. The proposed developments are used in the optimum design of an extended power generation and hydrogen storage flowsheet considering multiple power management strategies as decision options in addition to various operating and design parameters.