Exploring Biorefinery designs for Agricultural Waste with Stochastic Optimization

Lucas Van der Hauwaert; Alberte Regueira; Miguel Mauricio Iglesias; Edwin Zondervan

doi:10.1016/B978-0-443-28824-1.50411-7

Exploring Biorefinery designs for Agricultural Waste with Stochastic Optimization

Lucas Van der Hauwaert^*, Alberte Regueira, Miguel Mauricio Iglesias, Edwin Zondervan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

As the push for designing sustainable processing plants increases, the need for adequate tools to analyze and optimize these plants becomes paramount. Particularly the agricultural sector is in need of new and innovative biorefineries capable of handling the generated waste and transforming them in to added value products. Superstructure optimization offers an elegant solution to explore many alternative processing routes with one or multiple objectives in mind such as, sustainable and financial criteria. Various user friendly and accessible superstructure optimization tools for process design already exist but do not provide the capability to make decisions under uncertainty. This contribution aims to extend the OUTDOOR software package to handle superstructure optimization problems under uncertainty, using a 2-stage approach with fixed recourse. A case study is presented showcasing the extended OUTDOOR application on a processing plant that transforms potato peels into added value products. From the stochastic solution the most beneficial processing route, while considering all the uncertainties, lies in the production of phenolic compounds next to the production of starch, generating an expected revenue of 0.89 million euros per year. The value of perfect information (EVPI) was calculated to be 0.02 million euros, indicating the price of perfect information. The value of the stochastic solution (VSS) was 0 euros, indicating that the produced flowsheet is the most optimal one, across all uncertain scenarios.

Original language	English
Title of host publication	34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering
Editors	Flavio Manenti, Gintaras V. Reklaitis
Publisher	Elsevier B.V.
Pages	2461-2466
Number of pages	6
ISBN (Print)	978-0-443-28824-1
DOIs	https://doi.org/10.1016/B978-0-443-28824-1.50411-7
Publication status	Published - Jan 2024
Event	34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering - Florence, Italy Duration: 2 Jun 2024 → 6 Jun 2024 Conference number: 34

Publication series

Name	Computer Aided Chemical Engineering
Publisher	Elsevier
Volume	53
ISSN (Print)	1570-7946

Conference

Conference	34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering
Abbreviated title	ESCAPE34-PSE24
Country/Territory	Italy
City	Florence
Period	2/06/24 → 6/06/24

Keywords

2-Stage stochastic problem with fixed recourse
optimization under uncertainty
OUTDOOR
Superstructure optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/B978-0-443-28824-1.50411-7

Cite this

Van der Hauwaert, L., Regueira, A., Iglesias, M. M., & Zondervan, E. (2024). Exploring Biorefinery designs for Agricultural Waste with Stochastic Optimization. In F. Manenti, & G. V. Reklaitis (Eds.), 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering (pp. 2461-2466). (Computer Aided Chemical Engineering; Vol. 53). Elsevier B.V.. https://doi.org/10.1016/B978-0-443-28824-1.50411-7

Van der Hauwaert, Lucas ; Regueira, Alberte ; Iglesias, Miguel Mauricio et al. / Exploring Biorefinery designs for Agricultural Waste with Stochastic Optimization. 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. editor / Flavio Manenti ; Gintaras V. Reklaitis. Elsevier B.V., 2024. pp. 2461-2466 (Computer Aided Chemical Engineering).

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abstract = "As the push for designing sustainable processing plants increases, the need for adequate tools to analyze and optimize these plants becomes paramount. Particularly the agricultural sector is in need of new and innovative biorefineries capable of handling the generated waste and transforming them in to added value products. Superstructure optimization offers an elegant solution to explore many alternative processing routes with one or multiple objectives in mind such as, sustainable and financial criteria. Various user friendly and accessible superstructure optimization tools for process design already exist but do not provide the capability to make decisions under uncertainty. This contribution aims to extend the OUTDOOR software package to handle superstructure optimization problems under uncertainty, using a 2-stage approach with fixed recourse. A case study is presented showcasing the extended OUTDOOR application on a processing plant that transforms potato peels into added value products. From the stochastic solution the most beneficial processing route, while considering all the uncertainties, lies in the production of phenolic compounds next to the production of starch, generating an expected revenue of 0.89 million euros per year. The value of perfect information (EVPI) was calculated to be 0.02 million euros, indicating the price of perfect information. The value of the stochastic solution (VSS) was 0 euros, indicating that the produced flowsheet is the most optimal one, across all uncertain scenarios.",

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author = "{Van der Hauwaert}, Lucas and Alberte Regueira and Iglesias, {Miguel Mauricio} and Edwin Zondervan",

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Van der Hauwaert, L, Regueira, A, Iglesias, MM & Zondervan, E 2024, Exploring Biorefinery designs for Agricultural Waste with Stochastic Optimization. in F Manenti & GV Reklaitis (eds), 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. Computer Aided Chemical Engineering, vol. 53, Elsevier B.V., pp. 2461-2466, 34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering, Florence, Italy, 2/06/24. https://doi.org/10.1016/B978-0-443-28824-1.50411-7

Exploring Biorefinery designs for Agricultural Waste with Stochastic Optimization. / Van der Hauwaert, Lucas; Regueira, Alberte; Iglesias, Miguel Mauricio et al.
34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. ed. / Flavio Manenti; Gintaras V. Reklaitis. Elsevier B.V., 2024. p. 2461-2466 (Computer Aided Chemical Engineering; Vol. 53).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Exploring Biorefinery designs for Agricultural Waste with Stochastic Optimization

AU - Van der Hauwaert, Lucas

AU - Regueira, Alberte

AU - Iglesias, Miguel Mauricio

AU - Zondervan, Edwin

N1 - Conference code: 34

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N2 - As the push for designing sustainable processing plants increases, the need for adequate tools to analyze and optimize these plants becomes paramount. Particularly the agricultural sector is in need of new and innovative biorefineries capable of handling the generated waste and transforming them in to added value products. Superstructure optimization offers an elegant solution to explore many alternative processing routes with one or multiple objectives in mind such as, sustainable and financial criteria. Various user friendly and accessible superstructure optimization tools for process design already exist but do not provide the capability to make decisions under uncertainty. This contribution aims to extend the OUTDOOR software package to handle superstructure optimization problems under uncertainty, using a 2-stage approach with fixed recourse. A case study is presented showcasing the extended OUTDOOR application on a processing plant that transforms potato peels into added value products. From the stochastic solution the most beneficial processing route, while considering all the uncertainties, lies in the production of phenolic compounds next to the production of starch, generating an expected revenue of 0.89 million euros per year. The value of perfect information (EVPI) was calculated to be 0.02 million euros, indicating the price of perfect information. The value of the stochastic solution (VSS) was 0 euros, indicating that the produced flowsheet is the most optimal one, across all uncertain scenarios.

AB - As the push for designing sustainable processing plants increases, the need for adequate tools to analyze and optimize these plants becomes paramount. Particularly the agricultural sector is in need of new and innovative biorefineries capable of handling the generated waste and transforming them in to added value products. Superstructure optimization offers an elegant solution to explore many alternative processing routes with one or multiple objectives in mind such as, sustainable and financial criteria. Various user friendly and accessible superstructure optimization tools for process design already exist but do not provide the capability to make decisions under uncertainty. This contribution aims to extend the OUTDOOR software package to handle superstructure optimization problems under uncertainty, using a 2-stage approach with fixed recourse. A case study is presented showcasing the extended OUTDOOR application on a processing plant that transforms potato peels into added value products. From the stochastic solution the most beneficial processing route, while considering all the uncertainties, lies in the production of phenolic compounds next to the production of starch, generating an expected revenue of 0.89 million euros per year. The value of perfect information (EVPI) was calculated to be 0.02 million euros, indicating the price of perfect information. The value of the stochastic solution (VSS) was 0 euros, indicating that the produced flowsheet is the most optimal one, across all uncertain scenarios.

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Van der Hauwaert L, Regueira A, Iglesias MM, Zondervan E. Exploring Biorefinery designs for Agricultural Waste with Stochastic Optimization. In Manenti F, Reklaitis GV, editors, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. Elsevier B.V. 2024. p. 2461-2466. (Computer Aided Chemical Engineering). doi: 10.1016/B978-0-443-28824-1.50411-7

Exploring Biorefinery designs for Agricultural Waste with Stochastic Optimization

Abstract

Publication series

Conference

Keywords

UN SDGs

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