Browsing by Author "Demir, Abdullah"

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Citation - WoS: 17
Citation - Scopus: 19
A Novel Procedure for the AHP Method for the Site Selection of Solar PV Farms
(Wiley-Hindawi, 2024) Abdullah Demir; A. Ersin Dinçer; Kutay Yılmaz; Yilmaz, Kutay; Demir, Abdullah; Dincer, A. Ersin
This study proposes a novel approach to enhance the analytic hierarchy process (AHP) for the selection of suitable sites for solar photovoltaic (PV) farms. This approach is particularly beneficial when it is possible to establish a predefined objective relation in the final weights of the AHP method. The methodology focuses on achieving this predefined relation introducing a systematic revision of the constants of related constraints. In this study the costs of constructing a unit transmission line and road in the Kayseri Province are objectively related and the initial constant matrix of the AHP method is iteratively revised until the relation of the final weights converges to the predefined one. The suitability of solar PV farm locations is classified into five classes revealing approximately 28% (40-100% of suitability) of the province as favorably suitable and designating about 67% as restricted zones. The findings reveal notable distinctions between the revised weights and those derived from the conventional AHP method. The disparity in weights for various constraints varies from 13.5% to 7.2%. Consequently the alterations in the area of suitability regions range from 3.4% to 50%. The revision of AHP weights results in a reduction in higher-suitability areas coupled with a significant expansion in the region exhibiting lower suitability. Notably the extent of change in the suitability map increases when the difference in ratios between two criteria obtained from the AHP and the predefined objective relation is high. The proposed method demonstrates its applicability in regions like Kayseri where an objective relation between criteria can be established. Given the inherent subjectivity of the AHP method the proposed procedure becomes essential to attain more objective weights. Since the methodology objectively adjusts weights based on known ratios it increases the accuracy and reliability of site selection studies. © 2024 Elsevier B.V. All rights reserved.
A sustainable decision-making framework to evaluate land and seaside disposal options for tunnel spoil: A case study of Trabzon
(SCIENCE PRESS, 2025) Ali Ersin Dincer; Abdullah Demir; Sevki Ozturk; Kutay Yilmaz; Yilmaz, Kutay; Dincer, Ali Ersin; Demir, Abdullah; Ozturk, Sevki
Sustainable urbanization is essential for developing cities. To ensure the success of planned construction projects designers must prioritize sustainability by lowering emissions and reducing costs. Tunnel projects are common worldwide but disposing of the excavated material presents a significant challenge due to unsuitable geographic conditions. While coastal cities with mountainous terrains have historically used spoil for sea filling this study offers alternative landside options to promote sustainability. By using a conventional analytical hierarchy process (AHP) method for multi-criteria decision-making (MCDM) the study evaluates land use sustainability slope and drainage lines as constraints for the AHP method. The transportation-related greenhouse gas (GHG) emissions are also considered to reduce environmental damage. Particle swarm optimization is used to determine the minimum transportation distance from the excavation zone to the dumpsite. As a sub-criteria of land use the seaside is also considered a dumpsite compared with other options on the land side. The spatial analysis results of the case study show that suitable landside sites are available for the Trabzon tunneling project. Although coastal areas in Trabzon have been used for spoil dumping for filling purposes in the past landside deposition is a viable alternative. The suitability ranks of land and coastal filling options are relatively similar and selecting the seaside as the dumpsite for the Trabzon tunneling project reduces CO2 emissions. By adopting sustainable practices we can realize a better future for our cities and the environment.
Citation - WoS: 26
Citation - Scopus: 29
Wind farm site selection using GIS-based multicriteria analysis with Life cycle assessment integration
(SPRINGER HEIDELBERG, 2024) Abdullah Demir; Ali Ersin Dincer; Cihan Ciftci; Sedat Gulcimen; Nigmet Uzal; Kutay Yilmaz; Yilmaz, Kutay; Ciftci, Cihan; Dincer, Ali Ersin; Gulcimen, Sedat; Uzal, Nigmet; Demir, Abdullah
The sustainability of wind power plants depends on the selection of suitable installation locations which should consider not only economic and technical factors including manufacturing and raw materials but also issues pertaining to the environment. In the present study a novel methodology is proposed to determine the suitable locations for wind turbine farms by analyzing from the environmental perspective. In the methodology the life cycle assessment (LCA) of wind turbines is incorporated into the decision process. The criteria are ranked using analytical hierarchy process (AHP). The study area is chosen as the western region of Turkiye. The obtained suitability map reveals that wind speed is not the sole criterion for selecting a site for wind turbine farms, other factors such as bird migration paths distance from urban areas and land use are also crucial. The results also reveal that constructing wind power plants in the vicinity of Izmir canakkale Istanbul and Balikesir in Turkiye can lead to a reduction in emissions. Izmir and its surrounding area show the best environmental performance with the lowest CO2 per kilowatt-hour (7.14 g CO2 eq/kWh) to install a wind turbine due to its proximity to the harbor and steel factory across the study area. canakkale and the northwest region of Turkiye despite having high wind speeds are less environmentally favorable than Izmir Balikesir and Istanbul. The findings of LCA reveal that the nacelle and rotor components of the wind turbine contribute significantly (43-97%) to the environmental impact categories studied while the tower component (0-36%) also has an impact.