Integrated GIS-AHP optimization for bioethanol from oil palm biomass supply chain network design
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU139923" target="_blank" >RIV/00216305:26210/21:PU139923 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.aidic.it/cet/21/83/096.pdf" target="_blank" >https://www.aidic.it/cet/21/83/096.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3303/CET2183096" target="_blank" >10.3303/CET2183096</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Integrated GIS-AHP optimization for bioethanol from oil palm biomass supply chain network design
Popis výsledku v původním jazyce
Integrated GIS-AHP network design optimization models via LP is proposed to solve the bi-objective biomass supply chain optimization problems inclusive of the management of cost-effective biomass resourcing spatial availability, optimal sites of biorefinery, and transportation network. The formulation is modeled through LP to minimize the logistic costs and GHG emissions. The case study focused on 78 palm oil plantations in Johor. The optimal biorefinery size and location were found by minimizing the total logistic cost by having less travel distance. The network design analysis feature in ArcMap is adopted in the analysis of the road transportation network by utilizing the 'OD cost matrix' function. This spatial analysis is employed to calculate distances between supply nodes, biorefinery nodes, and demand nodes. There are about 8/78 resource locations and only a biorefinery has been selected with a total logistic 1.1 M USD/y and total GHG emissions about 0.128 Mt CO2/y. Copyright © 2021, AIDIC Servizi S.r.l.
Název v anglickém jazyce
Integrated GIS-AHP optimization for bioethanol from oil palm biomass supply chain network design
Popis výsledku anglicky
Integrated GIS-AHP network design optimization models via LP is proposed to solve the bi-objective biomass supply chain optimization problems inclusive of the management of cost-effective biomass resourcing spatial availability, optimal sites of biorefinery, and transportation network. The formulation is modeled through LP to minimize the logistic costs and GHG emissions. The case study focused on 78 palm oil plantations in Johor. The optimal biorefinery size and location were found by minimizing the total logistic cost by having less travel distance. The network design analysis feature in ArcMap is adopted in the analysis of the road transportation network by utilizing the 'OD cost matrix' function. This spatial analysis is employed to calculate distances between supply nodes, biorefinery nodes, and demand nodes. There are about 8/78 resource locations and only a biorefinery has been selected with a total logistic 1.1 M USD/y and total GHG emissions about 0.128 Mt CO2/y. Copyright © 2021, AIDIC Servizi S.r.l.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
20704 - Energy and fuels
Návaznosti výsledku
Projekt
<a href="/cs/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Laboratoř integrace procesů pro trvalou udržitelnost</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Chemical Engineering Transactions
ISSN
2283-9216
e-ISSN
—
Svazek periodika
neuveden
Číslo periodika v rámci svazku
83
Stát vydavatele periodika
IT - Italská republika
Počet stran výsledku
6
Strana od-do
571-576
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85100983936