Localisation of Waste Thermal Treatment Plant with Multi-Criteria Analysys

• Autorzy: Szafranko E.

Identyfikatory

DOI

10.12911/22998993/69367

• Języki publikacji: EN

Abstrakty

EN

At the stage of planning a construction project, an assessment must be made of possible variants of its implementation. Variants may pertain to the localisation, economic aspects as well as the actual construction and design solutions. This article deals with the question of selecting the localisation for a construction project consisting of building a plant for thermal treatment of waste. In order to chose an optimal location, first we must establish assessment criteria which will guide us through a supported choice procedure, and next we should apply a method for the evaluation of variant solutions. Some criteria refer to measurable phenomena and are therefore easy to be defined and weighed. Others require descriptions, designating the right scale and proper methods for their identification. The article contains an example of a set of criteria and a case study of using multi-criteria analytical methods for selecting the location to develop a specific construction project such as a Waste Thermal Treatment Plant. Some well-known methods are compared with the approach proposed by the author. The methods applied in analyses have certain advantages and disadvantages. Irrespective of which method is applied, a reliable and trustworthy analysis of the location for a future construction project brings about many benefits. Such an analysis creates an opportunity to become aware of problems and obstacles which one may come across both while executing the project and in the many years to come, when the raised construction is used.

Słowa kluczowe

EN

multicriteria method; optimal localization; variants of construction project; waste thermal treatment plant

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2017
• Tom: Vol. 18, nr 3
• Strony: 187--194
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Szafranko E.

• University of Warmia and Mazury in Olsztyn, The Faculty of Geodesy, Geospatial and Civil Engineering, 10-724 Olsztyn, Heweliusza Str. 4, Poland

Bibliografia

• 1. Karagiannidis A., Perkoulidis G. 2009. A multicriteria ranking of different technologies for the anaerobic digestion for energy recovery of the organic fraction of municipal solid wastes. Bioresource technology 100(8), 2355–2360.
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• 3. Cinelli M. S. R., et all:. 2014. Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment.Ecological Indicators (46), 138–148.
• 4. Haider S. R. H., Tesfamariam S. 2015. Selecting performance indicators for small and medium sized water utilities: Multi-criteria analysis using ELECTRE method. Urban Water Journal 12(4), 305–327.
• 5. Rong-Hui C., Yuanhsu L., Ming-Lang T. 2014. Multicriteria analysis of sustainable development indicators in the construction minerals industry in China. Resources Policy 50(C), 134–141.
• 6. Tatham K. E., Daniel Eisenberg A., Linkov I. 2014. Sustainable urban systems: a review of how sustainability indicators inform decisions. Sustainable Cities and Military Installations. Springer Netherlands,
• 7. Szafranko E. 2015. Applicability of the indicator method to evaluation of road building projects. News in Engineering (1), pp. 1–7.
• 8. Szafranko E. 2014. Ways to determine criteria in multi-criteria methods applied to assessment of variants of a planned building investment. Technical Transaction 2B(6), 49–56.
• 9. Keršulienė V., Turskis Z. 2014. An integrated multi-criteria group decision making process: selection of the chief accountant. Procedia-Social and Behavioral Sciences (110), 897–904.
• 10. Gadakh V. S. 2014. Application of complex proportional assessment method for vendor selection. International Journal of Logistics Research and Applications 17(1), 23–34.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).