Search
Abstract
The paper presents a comparison of the multi-criteria Analytic Hierarchy Process (AHP) method and numerical taxonomy in biogas plant location selection. Biogas plants are sources that will significantly contribute to the implementation of the provisions of the energy and climate package for Poland by 2030. Increasing the share of energy produced from renewable sources, e.g. biogas plants, will increase the country’s energy security. Biogas plants obtain energy from biogas of various origins. Therefore, biogas plant location choice depends on such factors as environmental impact, biogas availability and origin, technological aspects, and possible output energy use. The multitude of these factors makes the biogas plant location choice a multithreaded issue. The AHP is a highly sophisticated mathematical method. Its advantage is the ability to compare countable and uncountable factors with each other. The analysis outcome is a vector containing the ranking of considered variants. The numerical taxonomy is a much less complex method. It consists in determining the tested solutions’ distances from a hypothetical ideal solution, the so-called standard, in effect creating their ranking. The methods were compared in terms of sensitivity to change of decision options and criteria, decision-makers’ and experts’ involvement level, as well as computational complexity.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (2)
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
Acta Energetica
pages 45 - 56,
ISSN: 2300-3022 - Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Stoltmann A., Bućko P.: Comparison of AHP and Numerical Taxonomy Methods Based on Biogas Plant Location Analysis// Acta Energetica. -., nr. 2/35 (2019), s.45-56
- DOI:
- Digital Object Identifier (open in new tab) 10.12736/issn.2300-3022.2018204
- Verified by:
- Gdańsk University of Technology
seen 176 times