@inproceedings{c776265b264d41e89a9c070a025ad304,
title = "Value Chain Optimization of a Xylitol Biorefinery with Delaunay Triangulation Regression Models",
abstract = "The presented work focuses on the value chain optimization of a conceptually designed biorefinery, considering the plant capacity and other logistic and design constraints. An existing framework is used to create surrogate models, which are then used to reformulate the underlying optimization problem for performing value chain optimization. The used Delaunay triangulation regression surrogate model performs well and is a suitable candidate for value chain optimization. The results indicate an apparent effect of the economics of scale, and the market conditions mainly constrain the designed value chain.",
keywords = "biorefinery, Surrogate Modelling, Delaunay Triangulation, Mixed-Integer Linear Program, Value Chain Optimization",
author = "Vollmer, {Nikolaus I.} and Gernaey, {Krist V.} and G{\"u}rkan Sin",
year = "2022",
doi = "10.1016/B978-0-323-85159-6.50012-9",
language = "English",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier",
pages = "73--78",
editor = "Yamashita, {Yoshiyuki } and Kano, {Manabu }",
booktitle = "Proceedings of the 14th International Symposium on Process Systems Engineering",
address = "United Kingdom",
note = "14th International Symposium on Process Systems Engineering (PSE 2021+) ; Conference date: 19-06-2022 Through 23-06-2022",
}