A Modeling Framework for Optimal Design of Renewable Energy Processes Under Market Uncertainty
Document Type
Article
Publication Date
1-1-2015
Abstract
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.
Publication Source (Journal or Book title)
Computer Aided Chemical Engineering
First Page
353
Last Page
358
Recommended Citation
Geraili, A., & Romagnoli, J. (2015). A Modeling Framework for Optimal Design of Renewable Energy Processes Under Market Uncertainty. Computer Aided Chemical Engineering, 37, 353-358. https://doi.org/10.1016/B978-0-444-63578-5.50054-2