期刊论文详细信息
JOURNAL OF CLEANER PRODUCTION 卷:216
Analysis of cost-environmental trade-offs in biodiesel production incorporating waste feedstocks: A multi-objective programming approach
Article
Caldeira, Carla1,2,7  Freire, Fausto1  Olivetti, Elsa A.3  Kirchain, Randolph4  Dias, Luis C.2,5,6 
[1] Univ Coimbra, ADAI LAETA Dept Mech Engn, Polo II,Rua Luis Reis Santos, P-3030788 Coimbra, Portugal
[2] Univ Coimbra, INESC Coimbra, Polo II,Rua Silvio Lima, P-3030290 Coimbra, Portugal
[3] MIT, Dept Mat Sci & Engn, 77 Massachusetts, Cambridge, MA 02139 USA
[4] MIT, Mat Syst Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[5] Univ Coimbra, CeBER, Av Dias da Silva 165, P-3004512 Coimbra, Portugal
[6] Univ Coimbra, Fac Econ, Av Dias da Silva 165, P-3004512 Coimbra, Portugal
[7] European Commiss, Joint Res Ctr, Directorate Sustainable Resources, Ispra, Italy
关键词: Biodiesel;    Waste cooking oil;    Blending optimization;    Uncertainty;    Climate change;    Water impacts;   
DOI  :  10.1016/j.jclepro.2019.01.126
来源: Elsevier
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【 摘 要 】

Decision-makers in government and industry must develop policy and strategy for highly complex systems, trading off competing objectives such as environmental and economic impact These trade-offs can be difficult to analyze, which may lead to misinformed choices. There is lack of decision support tools that both include multiple objectives and facilitate communication to decision-makers in a comprehensive and simple way. To address this gap, a mathematical model that facilitates the decision process by allowing an agent to decide based on an explicit overall economic and environmental performance but simultaneously visualize graphically the trade-offs among the different objectives was developed. This model was used to assess the trade-offs of using waste-based feedstocks in blends with conventional feedstocks for biodiesel production, and explore opportunities to improve biodiesel cost effectiveness whilst managing environmental impacts, particularly in the feedstock selection process. The compositional uncertainty of the feedstocks is considered in the model ensuring that the final quality of the biodiesel is not compromised by the high uncertainty associated with the composition of waste materials. Reductions on production costs (3%) and on environmental impacts (from 2% to 32%) were obtained using this model to select the blend composition. The model was shown to be useful to inform decision-making by allowing comprehensive, simplified visualization of the trade-offs among cost and environmental impacts. The model can be used to support biodiesel production planning with lower environmental impacts. (C) 2019 Elsevier Ltd. All rights reserved.

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