An Integrated Framework and Software Prototype for Multi-scale Energy Systems Engineering

Abstract

In this work, the developments of ENERGIA, a multi-scale energy systems transition modeling, optimization and scenario analysis framework and software prototype are presented. ENERGIA integrates (i) energy supply chain and transportation considerations, (ii) detailed energy production aspects, and (iii) scheduling decisions for operation and inventory management of energy and resources storage. It is based on a methodology that involves (i) detailed data and models for the description of process alternatives and units and the corresponding supply chains, (ii) a library of surrogate modeling techniques, for both the nonlinear process models, as well as scheduling decisions, and (iii) a detailed design planning time-varying scheduling model (iv) a mixed-integer programming optimization strategy. ENERGIA’s python-based environment allows users to visualize resource availability and demands at various temporal and geographic scales and resolutions, and compare competing objectives and renewable-based energy strategies. A hydrogen-economy energy transition problem is presented to highlight the key capabilities of the proposed framework.