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Clean Technologies and Environmental Policy

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24.04.2018 | Original Paper

Spatial optimization of biomass power plant site using fuzzy analytic network process

verfasst von: Mehri Davtalab, Ali Asghar Alesheikh

Erschienen in: Clean Technologies and Environmental Policy | Ausgabe 5/2018

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Abstract

Electricity has a significant role in the sustainable development of societies. Traditional methods of generating electricity face several challenges. The ever-increasing demand for electricity generation on the one hand, and the lack of adequate resources for fossil fuels on the other, has led to the use of renewable energy. Biomass is a renewable energy supply that can be used in electricity generation for a sustainable environment. This study aims to introduce a multi-criteria decision-making framework which integrates a geographical information system with a fuzzy analytic network process together with weighted linear combination to optimize the location of a biomass power plant in Guilan Province, Iran. For this purpose, the environmental and socioeconomic factors were identified, and the main contributing criteria were selected. The results showed that about 27.73 and 41.06% of the region has high or moderate suitability, respectively, for constructing a biomass power plant. In addition, a sensitivity analysis was performed to investigate the robustness of the outcomes of decision making by changing the weighting of the criteria. Results indicated that the ranking of alternative locations is independent of the weights chosen.

Vorheriger Artikel A sustainable sociocultural combination of building information modeling with integrated project delivery in a social network perspective

Nächster Artikel Thermodynamic performance analysis of three solid oxide fuel cell and gas microturbine hybrid systems for application in auxiliary power units

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Titel: Spatial optimization of biomass power plant site using fuzzy analytic network process
verfasst von: Mehri Davtalab
Ali Asghar Alesheikh
Publikationsdatum: 24.04.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Clean Technologies and Environmental Policy / Ausgabe 5/2018
Print ISSN: 1618-954X
Elektronische ISSN: 1618-9558
DOI: https://doi.org/10.1007/s10098-018-1531-5

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