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A Multiobjective Optimization Including Results of Life Cycle Assessment in Developing Biorenewables‐Based Processes
Author(s) -
Helmdach Daniel,
Yaseneva Polina,
Heer Parminder K.,
Schweidtmann Artur M.,
Lapkin Alexei A.
Publication year - 2017
Publication title -
chemsuschem
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.412
H-Index - 157
eISSN - 1864-564X
pISSN - 1864-5631
DOI - 10.1002/cssc.201700927
Subject(s) - biochemical engineering , life cycle assessment , computer science , environmental science , chemistry , engineering , economics , production (economics) , macroeconomics
A decision support tool has been developed that uses global multiobjective optimization based on 1) the environmental impacts, evaluated within the framework of full life cycle assessment; and 2) process costs, evaluated by using rigorous process models. This approach is particularly useful in developing biorenewable‐based energy solutions and chemicals manufacturing, for which multiple criteria must be evaluated and optimization‐based decision‐making processes are particularly attractive. The framework is demonstrated by using a case study of the conversion of terpenes derived from biowaste feedstocks into reactive intermediates. A two‐step chemical conversion/separation sequence was implemented as a rigorous process model and combined with a life cycle model. A life cycle inventory for crude sulfate turpentine was developed, as well as a conceptual process of its separation into pure terpene feedstocks. The performed single‐ and multiobjective optimizations demonstrate the functionality of the optimization‐based process development and illustrate the approach. The most significant advance is the ability to perform multiobjective global optimization, resulting in identification of a region of Pareto‐optimal solutions.