Integrated linear programming and analytical hierarchy process method for diesel/biodiesel/butanol in reducing diesel emissions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU143162" target="_blank" >RIV/00216305:26210/22:PU143162 - isvavai.cz</a>
Result on the web
<a href="https://www-sciencedirect-com.ezproxy.lib.vutbr.cz/science/article/pii/S0959652621044620" target="_blank" >https://www-sciencedirect-com.ezproxy.lib.vutbr.cz/science/article/pii/S0959652621044620</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jclepro.2021.130297" target="_blank" >10.1016/j.jclepro.2021.130297</a>
Alternative languages
Result language
angličtina
Original language name
Integrated linear programming and analytical hierarchy process method for diesel/biodiesel/butanol in reducing diesel emissions
Original language description
In this study, an attempt to obtain the optimal fuel blends consisting of diesel/biodiesel/alcohol, which satisfies the ASTM D975 and EN590, has been performed. Fuel blending is complicated due to the trade-offs concerning the various criteria. The Linear Programming fuel blending model only evaluates solutions concerning quantitative criteria with one single objective function. In fuel blending, qualitative criteria must be considered in making the final decision. A new methodological framework that integrates a two-stage product design optimisation model consisting of a Linear Programming (quantitative) and Analytical Hierarchy Process (AHP) (qualitative) is developed. The AHP was used to evaluate the criteria weight. Four criteria were implied in selecting the optimal blends, covering good performance, emissions limitations, cost-effectiveness, and safety trade-offs. Seven sub-criteria such as cetane number, the heat of vaporisation, oxygen content, sulphur content, CO2 emissions, flash point, and feedstock cost are examined. Four alcohol oxygenates as alternatives to be selected methanol, ethanol, propanol, and butanol. The final AHP results depicted diesel/biodiesel/alcohol (Blend 1) comprising of 70% diesel, 20% biodiesel, 10% butanol as the optimal blends with higher performance (CN = 48.69), lowest cost (1.2 USD/L), and cleaner emission with 35% less sulphur concentration and 36% CO2 emissions mitigated. The AHP results were then validated by employing Sensitivity Analysis for four scenarios by increasing 20% of the priority vector. The solution of the sensitivity analysis of weights levels indicates the acceptable possibility of achieving the objective/goal. Blend 1 (diesel/biodiesel/butanol) is the optimal blend, followed by Blend 4 (diesel/biodiesel/methanol), Blend 2 (diesel/biodiesel/propanol) and Blend 3 (diesel/biodiesel/ethanol). In conclusion, this proposed new framework provides the confident decision to select alcohol oxygenates for future fuel di
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20704 - Energy and fuels
Result continuities
Project
<a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Cleaner Production
ISSN
0959-6526
e-ISSN
1879-1786
Volume of the periodical
neuveden
Issue of the periodical within the volume
337
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
130297-130297
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85122961700