A hybrid multi-criteria decision modeling approach for the best biodiesel blend selection based on ANP-TOPSIS analysis

G. Sakthivel · Mani Ilangkumaran · Aditya Gaikwad

103 citations0/0 files storedAin Shams Engineering Journal

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Multi-Criteria Decision Making Biodiesel Production and Applications Energy and Environmental Sustainability

Abstract

The ever increasing demand and depletion of fossil fuels had an adverse impact on environmental pollution. The selection of appropriate source of biodiesel and proper blending of biodiesel plays a major role in alternate energy production. This paper describes an application of hybrid Multi Criteria Decision Making (MCDM) technique for the selection of optimum fuel blend in fish oil biodiesel for the IC engine. The proposed model, Analytical Network Process (ANP) is integrated with Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) and VlseKriterijumska Optimizacija I Kompromisno Resenje (in Serbian) (VIKOR) to evaluate the optimum blend. Evaluation of suitable blend is based on the exploratory analysis of the performance, emission and combustion parameters of the single cylinder, constant speed direct injection diesel engine at different load conditions. Here the ANP is used to determine the relative weights of the criteria, whereas TOPSIS and VIKOR are used for obtaining the final ranking of alternative blends. An efficient pair-wise comparison process and ranking of alternatives can be achieved for optimum blend selection through the integration of ANP with TOPSIS and VIKOR. The obtained preference order of the blends for ANP-VIKOR and ANP-TOPSIS are B20 > Diesel > B40 > B60 > B80 > B100 and B20 > B40 > Diesel > B60 > B80 > B100 respectively. Hence by comparing both these methods, B20 is selected as the best blend to operate the internal combustion engines. This paper highlights a new insight into MCDM techniques to evaluate the best fuel blend for the decision makers such as engine manufactures and R& D engineers to meet the fuel economy and emission norms to empower the green revolution.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 103 citations exist upstream.

References

1985The Analytic Hierarchy Process 2003Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS 2009Multi-criteria decision making approaches for supplier evaluation and selection: A literature review 1979Multiple Objective Decision Making ― Methods and Applications: A State-of-the-Art Survey 2005Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment 2010Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method 2010Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul 2009Group decision making process for supplier selection with VIKOR under fuzzy environment

Cited by

2019Decision support models in climate policy 2016Selection of the optimal tourism site using the ANP and fuzzy TOPSIS in the framework of Integrated Coastal Zone Management: A case of Qeshm Island 2018A fuzzy based hybrid multi criteria decision making methodology for phase change material selection in electronics cooling system 2018A group decision making tool for assessing climate policy risks against multiple criteria

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.