A Hybrid Fuzzy Model for the performance evaluation of Biomethane gas as a renewable energy source

Aikhuele, Daniel O. and Akinosi, Olatunji A. and Faiz, Mohd Turan (2021) A Hybrid Fuzzy Model for the performance evaluation of Biomethane gas as a renewable energy source. Process Integration and Optimization for Sustainability, 5 (4). pp. 993-1002. ISSN 2509-4246. (Published)

[img] Pdf
Restricted to Repository staff only

Download (1MB) | Request a copy


Biomethane gas which has been applied as a renewable energy source in some of the industries, like automotive, food manufacturing, aerospace, and maritime, is regarded as the engine block of the economic advancement of most of the developed and developing countries. Hence, there is need to continuously explore the behavior of the energy source and to assess its performance when applied in some key engines and systems used in the different industries. In this paper, however, an integrated multicriteria-based model termed “triangular intuitionistic fuzzy hamming distance (TIFHD)” has been proposed for the performance evaluation of the biomethane gas as an energy source used for a specific system and engines with respect to the following criteria, environmental factor (CE), economic (CEc), social (CS), energy balance (CEb), and energy sustainability (CEs). The performance ranking results from the evaluation shows the following ranking order EN2 > EN1> EN3> EN4,with Stirling engine (EN4) and diesel-cycle engine (EN2) as the system and engines with the best and least biomethane gas performance respectively. EN1 and EN3 are industrial oven and the Otto cycle engine (gas motors) that is normally used in the food manufacturing and automotive industries, respectively

Item Type: Article
Uncontrolled Keywords: Biomethane gas · Impact assessment · Triangular intuitionistic fuzzy hamming distance · Flexibility function · Multi-criteria group decision-making
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Institute of Postgraduate Studies
Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Miss. Ratna Wilis Haryati Mustapa
Date Deposited: 12 Oct 2022 03:47
Last Modified: 12 Oct 2022 07:11
URI: http://umpir.ump.edu.my/id/eprint/35408
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item