Multi-objective Optimisation Incorporating Life Cycle Assessment. A Case Study of Biofuels Supply Chain Design

Páez, M. A.; Guillén‐Gosálbez, Gonzalo

doi:10.1007/978-3-319-28752-2_17

Cited by 2 publications

(1 citation statement)

References 33 publications

(42 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The methodology is explained in a biofuel supply chain design context. The model is framed as a mathematical multi-objective mixed-integer linear program and can be used in different models to determine their required potentials (Páez et al. , 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of environmental potentials on supply chain of textile and yarn industry using smart and sustainable life cycle assessment

Jain

Jain²,

Agrawal³

et al. 2022

MEQ

View full text Add to dashboard Cite

PurposeEnvironmental impact and changes are becoming essential in textile and yarn industries, where reliable measurement of parameters related to processing harmful substances needs to be examined. Such findings can be cumulated using smart assessment like life cycle analysis. The ecological impact category, supply chain, and climate-changing factors were considered for the necessary assessment.Design/methodology/approachThis paper applies the Life Cycle Assessment technique in the textile and yarn industry to estimate critical environmental potentials. The critical input for the fabric and yarn industry was put in the GaBi software model to estimate various environmental potentials.FindingsGlobal warming potential, electricity, and raw cotton consumption in the fabric and yarn industry were critical concerns where attention should be focused on minimizing environmental potentials from cradle to gate assessment.Research limitations/implicationsThis qualitative study is made via the industry case-wise inputs and outputs, which can vary with demographic conditions. Some machine and human constraints have not been implemented in modelling life cycle model for smart simulation. Smart simulation helps in linking different parameters and simulates their combined effects on the product life cycle.Practical implicationsThis modelling approach will help access pollution constituents in different supply chain production processes and optimize them simultaneously.Originality/valueThe raw data used in this analysis are collected from an Indian small scale textile industry. In the textile fabrication industry, earlier assessments were carried out in cotton generation, impact of PET, cradle to grave assessment of textile products and garment processing only. In this research the smart model is drawn to consider each input parameter of yarn and textile fabric to determine the criticality of each input in this assessment. This article mainly talks about life cycle and circular supply assessment applied to first time for both cotton to yarn processing and yarn to fabric industry for necessary estimation of environment potentials.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Investigation of environmental potentials on supply chain of textile and yarn industry using smart and sustainable life cycle assessment

Jain

Jain²,

Agrawal³

et al. 2022

MEQ

View full text Add to dashboard Cite

show abstract

Toward the Shell Biorefinery: Processing Crustacean Shell Waste Using Hot Water and Carbonic Acid

Yang

Gözaydın

Nasaruddin

et al. 2019

ACS Sustainable Chem. Eng.

101

View full text Add to dashboard Cite

Biomass fractionation is a prerequisite for almost any biorefinery process. Yet, a cost-effective and environmentally benign approach to separate biomass feedstock into valuable fractions remain a challenge. Herein we introduce a new fractionation method to extract high value chitin from crustacean shell (e.g., shrimp shell) using hot water for deproteinization and carbonic acid for demineralization (termed as the HOW-CA process). This method features high deproteinization and demineralization efficiencies (>90%), and the whole process is accomplished within hours. The desired final product chitin exhibits a high purity. This work addresses the major problems associated with the current industrial practice including the employment of corrosive reagents, the destructive removal of a useful component, and the generation of a large amount of waste. Economic and life-cycle analyses imply that the HOW-CA process is superior to the conventional method, offering both economic and environmental benefits.

show abstract

Multi-objective Optimisation Incorporating Life Cycle Assessment. A Case Study of Biofuels Supply Chain Design

Cited by 2 publications

References 33 publications

Investigation of environmental potentials on supply chain of textile and yarn industry using smart and sustainable life cycle assessment

Investigation of environmental potentials on supply chain of textile and yarn industry using smart and sustainable life cycle assessment

Toward the Shell Biorefinery: Processing Crustacean Shell Waste Using Hot Water and Carbonic Acid

Contact Info

Product

Resources

About