Design of biobased supply chains on a life cycle basis: A bi-objective optimization model and a case study of biobased polyethylene terephthalate (PET)

Carlos A. García-velásquez; Sylvain Leduc; Yvonne Van Der Meer

doi:10.1016/j.spc.2022.01.003

Design of biobased supply chains on a life cycle basis: A bi-objective optimization model and a case study of biobased polyethylene terephthalate (PET)

Carlos A. García-velásquez, Sylvain Leduc, Yvonne Van Der Meer^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Bioplastics are considered a sustainable alternative to (partly) substitute fossil-based plastics. Nevertheless, it is still uncertain if the use of biomass for the production of bioplastics can mitigate the environmental impact of fossil-based plastics and simultaneously provide economic benefits. An optimization model is proposed to design biobased supply chain networks that account for economic (total costs) and environmental (greenhouse gas emissions) criteria. Life cycle costing and life cycle assessment were used to evaluate the economic and environmental costs of the biobased polyethylene terephthalate (PET) production using sugar beet and wheat as feedstock. The 100% biobased PET production evidenced higher economic and environmental costs than the 30% biobased PET production. The feedstock selection played a key role, whereas the use of wheat for both 30% and 100% biobased PET had the highest costs and greenhouse gas emissions. It is highlighted that the economic performance of the biobased terephthalic acid (PTA) production, the feedstock selection (sugar beet), and the carbon tax scenario (>100 €/t CO2) are key parameters for designing a sustainable biobased PET supply chain.

Original language	English
Pages (from-to)	706-719
Number of pages	14
Journal	Sustainable Production and Consumption
Volume	30
DOIs	https://doi.org/10.1016/j.spc.2022.01.003
Publication status	Published - Mar 2022

Keywords

BIOMASS
CHALLENGES
CHEMICALS
COST
Carbon pricing policies
ETHANOL
Life cycle assessment
Life cycle costing
Mixed-integer programming
Sugar beet
Wheat

Access to Document

10.1016/j.spc.2022.01.003Licence: CC BY

https://linkinghub.elsevier.com/retrieve/pii/S2352550922000033

Cite this

@article{f300e0ee3cd142c5b8e5788bc54e297b,

title = "Design of biobased supply chains on a life cycle basis: A bi-objective optimization model and a case study of biobased polyethylene terephthalate (PET)",

abstract = "Bioplastics are considered a sustainable alternative to (partly) substitute fossil-based plastics. Nevertheless, it is still uncertain if the use of biomass for the production of bioplastics can mitigate the environmental impact of fossil-based plastics and simultaneously provide economic benefits. An optimization model is proposed to design biobased supply chain networks that account for economic (total costs) and environmental (greenhouse gas emissions) criteria. Life cycle costing and life cycle assessment were used to evaluate the economic and environmental costs of the biobased polyethylene terephthalate (PET) production using sugar beet and wheat as feedstock. The 100% biobased PET production evidenced higher economic and environmental costs than the 30% biobased PET production. The feedstock selection played a key role, whereas the use of wheat for both 30% and 100% biobased PET had the highest costs and greenhouse gas emissions. It is highlighted that the economic performance of the biobased terephthalic acid (PTA) production, the feedstock selection (sugar beet), and the carbon tax scenario (>100 €/t CO2) are key parameters for designing a sustainable biobased PET supply chain.",

keywords = "BIOMASS, CHALLENGES, CHEMICALS, COST, Carbon pricing policies, ETHANOL, Life cycle assessment, Life cycle costing, Mixed-integer programming, Sugar beet, Wheat",

author = "Garc{\'i}a-vel{\'a}squez, {Carlos A.} and Sylvain Leduc and {Van Der Meer}, Yvonne",

note = "Funding Information: The authors acknowledge the International Institute of Applied Systems Analysis (IIASA) for assistance and support during the development of this work through the Young Scientists Summer Program (YSSP). The authors would also like to thank Stefan Frank for providing the databases of biomass availability in Europe to develop our model. Additionally, this research received funding from the EU Horizon 2020 program under the Marie Sklodowska-Curie Grant Agreement No. 764713, ITN Project FibreNet. Funding Information: The authors acknowledge the International Institute of Applied Systems Analysis (IIASA) for assistance and support during the development of this work through the Young Scientists Summer Program (YSSP). The authors would also like to thank Stefan Frank for providing the databases of biomass availability in Europe to develop our model. Additionally, this research received funding from the EU Horizon 2020 program under the Marie Sklodowska-Curie Grant Agreement No. 764713, ITN Project FibreNet. Publisher Copyright: {\textcopyright} 2022 The Author(s)",

year = "2022",

month = mar,

doi = "10.1016/j.spc.2022.01.003",

language = "English",

volume = "30",

pages = "706--719",

journal = "Sustainable Production and Consumption",

publisher = "Elsevier BV",

}

Design of biobased supply chains on a life cycle basis: A bi-objective optimization model and a case study of biobased polyethylene terephthalate (PET). / García-velásquez, Carlos A.; Leduc, Sylvain; Van Der Meer, Yvonne.
In: Sustainable Production and Consumption, Vol. 30, 03.2022, p. 706-719.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Design of biobased supply chains on a life cycle basis: A bi-objective optimization model and a case study of biobased polyethylene terephthalate (PET)

AU - García-velásquez, Carlos A.

AU - Leduc, Sylvain

AU - Van Der Meer, Yvonne

N1 - Funding Information: The authors acknowledge the International Institute of Applied Systems Analysis (IIASA) for assistance and support during the development of this work through the Young Scientists Summer Program (YSSP). The authors would also like to thank Stefan Frank for providing the databases of biomass availability in Europe to develop our model. Additionally, this research received funding from the EU Horizon 2020 program under the Marie Sklodowska-Curie Grant Agreement No. 764713, ITN Project FibreNet. Funding Information: The authors acknowledge the International Institute of Applied Systems Analysis (IIASA) for assistance and support during the development of this work through the Young Scientists Summer Program (YSSP). The authors would also like to thank Stefan Frank for providing the databases of biomass availability in Europe to develop our model. Additionally, this research received funding from the EU Horizon 2020 program under the Marie Sklodowska-Curie Grant Agreement No. 764713, ITN Project FibreNet. Publisher Copyright: © 2022 The Author(s)

PY - 2022/3

Y1 - 2022/3

N2 - Bioplastics are considered a sustainable alternative to (partly) substitute fossil-based plastics. Nevertheless, it is still uncertain if the use of biomass for the production of bioplastics can mitigate the environmental impact of fossil-based plastics and simultaneously provide economic benefits. An optimization model is proposed to design biobased supply chain networks that account for economic (total costs) and environmental (greenhouse gas emissions) criteria. Life cycle costing and life cycle assessment were used to evaluate the economic and environmental costs of the biobased polyethylene terephthalate (PET) production using sugar beet and wheat as feedstock. The 100% biobased PET production evidenced higher economic and environmental costs than the 30% biobased PET production. The feedstock selection played a key role, whereas the use of wheat for both 30% and 100% biobased PET had the highest costs and greenhouse gas emissions. It is highlighted that the economic performance of the biobased terephthalic acid (PTA) production, the feedstock selection (sugar beet), and the carbon tax scenario (>100 €/t CO2) are key parameters for designing a sustainable biobased PET supply chain.

AB - Bioplastics are considered a sustainable alternative to (partly) substitute fossil-based plastics. Nevertheless, it is still uncertain if the use of biomass for the production of bioplastics can mitigate the environmental impact of fossil-based plastics and simultaneously provide economic benefits. An optimization model is proposed to design biobased supply chain networks that account for economic (total costs) and environmental (greenhouse gas emissions) criteria. Life cycle costing and life cycle assessment were used to evaluate the economic and environmental costs of the biobased polyethylene terephthalate (PET) production using sugar beet and wheat as feedstock. The 100% biobased PET production evidenced higher economic and environmental costs than the 30% biobased PET production. The feedstock selection played a key role, whereas the use of wheat for both 30% and 100% biobased PET had the highest costs and greenhouse gas emissions. It is highlighted that the economic performance of the biobased terephthalic acid (PTA) production, the feedstock selection (sugar beet), and the carbon tax scenario (>100 €/t CO2) are key parameters for designing a sustainable biobased PET supply chain.

KW - BIOMASS

KW - CHALLENGES

KW - CHEMICALS

KW - COST

KW - Carbon pricing policies

KW - ETHANOL

KW - Life cycle assessment

KW - Life cycle costing

KW - Mixed-integer programming

KW - Sugar beet

KW - Wheat

U2 - 10.1016/j.spc.2022.01.003

DO - 10.1016/j.spc.2022.01.003

M3 - Article

VL - 30

SP - 706

EP - 719

JO - Sustainable Production and Consumption

JF - Sustainable Production and Consumption

ER -