A detailed MILP formulation for the optimal design of advanced biofuel supply chains
(چکیده مقاله) :
Abstract :
The optimal design of a biomass supply chain is a complex problem, which must take into account
multiple interrelated factors (i.e the spatial distribution of the network nodes, the efficient planning of
logistics activities, etc.). Mixed Integer Linear Programming has proven to be an effective mathematical
tool for the optimization of the design and the management strategy of Advanced Biofuel Supply Chains
(ABSC). This work presents a MILP formulation of the economical optimization of ABSC design,
comprising the definition of the associated weekly management plan. A general modeling approach is
proposed with a network structure comprising two intermediate echelons (storage and conversion facilities)
and accounts for train and truck freight transport. The model is declined for the case of a multifeedstock
ABSC for green methanol production tested on the Italian case study. Residual biomass feedstocks
considered are woodchips from primary forestry residues, grape pomace, and exhausted olive
pomace. The calculated cost of methanol is equal to 418.7 V/t with conversion facility cost accounting for
50% of the fuel cost share while transportation and storage costs for around 15%. When considering only
woodchips the price of methanol increases to 433.4 V/t outlining the advantages of multi-feedstock
approach.
multiple interrelated factors (i.e the spatial distribution of the network nodes, the efficient planning of
logistics activities, etc.). Mixed Integer Linear Programming has proven to be an effective mathematical
tool for the optimization of the design and the management strategy of Advanced Biofuel Supply Chains
(ABSC). This work presents a MILP formulation of the economical optimization of ABSC design,
comprising the definition of the associated weekly management plan. A general modeling approach is
proposed with a network structure comprising two intermediate echelons (storage and conversion facilities)
and accounts for train and truck freight transport. The model is declined for the case of a multifeedstock
ABSC for green methanol production tested on the Italian case study. Residual biomass feedstocks
considered are woodchips from primary forestry residues, grape pomace, and exhausted olive
pomace. The calculated cost of methanol is equal to 418.7 V/t with conversion facility cost accounting for
50% of the fuel cost share while transportation and storage costs for around 15%. When considering only
woodchips the price of methanol increases to 433.4 V/t outlining the advantages of multi-feedstock
approach.
(توضیحات تکمیلی) :
(توضیحات تکمیلی) :
Description :
مقاله ISI انگلیسی اصلی
سال انتشار: 2021
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 17 صفحه
سال انتشار: 2021
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 17 صفحه
Authors / Descriptions(نویسندگان/توضیحات): مقاله ISI سال انتشار: 2021 / نویسندگان: Luca Moretti , Mario Milani , Giovanni Gustavo Lozza , Giampaolo Manzolini
Sent date(تاریخ ارسال) :
1400/01/09 | 3/29/2021
Number of visits(تعداد بازدید):
450
Key words (کلمات کلیدی):
Residual biomass , Advanced biofuels , Supply chain design , Logistics network , MILP , Optimization
Number of pages(تعداد صفحات) :
17
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