A Modeling Framework for Optimal Design of Renewable Energy Processes Under Market Uncertainty

摘要

A distributed optimization strategy for development of a reliable framework to address optimal design of renewable energy systems under uncertainty is presented. A structural approach is utilized for production capacity design, simulation of the process in detail, and optimizing the operating condition of the plant. To demonstrate the effectiveness of the proposed approach, a hypothetical multiproduct lignocellulosic biorefinery is considered as a case study. The results prove the efficiency of the proposed approach, and provide a quantitative analysis to determine the optimal design in the face of uncertainty.