Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Article Citation - WoS: 62Citation - Scopus: 63A Novel Method for the Site Selection of Large-Scale PV Farms by Using AHP and GIS: A Case Study in Izmir, Turkiye(Pergamon-Elsevier Science Ltd, 2023-07) Demir, Abdullah; Dincer, Ali Ersin; Yilmaz, KutayEffective and sustainable climate-friendly policies to reduce carbon dioxide emissions in line with the 2020 European Green Deal are necessary. Accordingly, renewable energies assumed a critical role, rendering the site selection of these systems very crucial. The present study proposes a novel approach to the site selection of large-scale photovoltaic (PV) plants using a combination of analytic hierarchy process (AHP) and geographic infor-mation system (GIS). In the study, the weights of criteria used for selecting solar PV panels are adjusted according to the installed capacity of the PV plant. The land of cost is included as a criterion in the AHP for the first time in PV plant site selection. Besides, a novel method called optimality-based site growing (OBSG) is introduced to further analyze the suitable sites obtained from GIS simulations and to determine the most suitable locations of PV farms. The proposed method is demonstrated with a case study of Turkiye, and the results show that the method effectively determines the most suitable locations for large-scale PV plants.Article Citation - WoS: 24Citation - Scopus: 29A Methodology to Evaluate the Sensory Properties of Instant Hot Chocolate Beverage With Different Fat Contents: Multi-Criteria Decision-Making Techniques Approach(Springer, 2016-02-03) Dogan, Mahmut; Aslan, Duygu; Aktar, Tugba; Sarac, Meryem Goksel; Goksel Sarac, MeryemThe multi-criteria decision-making techniques are applied in many areas such as integrated manufacturing systems, evaluation of technology investment, water and agriculture management and energy planning. However, there are very few studies in the field of food. In this work, the selection of optimum fat content in the model beverage of instant hot chocolate beverage was evaluated based on sensory analyses by performing multi-criteria decision techniques (analytic hierarchy process, simple additive weighting, technique for order preference by similarity to ideal solution and elimination et choixtraduisant la realite-elimination and choice translating reality). The wettability, solubility, bulk density, soluble solids, pH, color values, and rheological and sensory properties of the nine samples were evaluated. According to the results of multi-criteria decision techniques, sample S2 which had a relatively high amount of fat content was the most preferred beverage among the samples. Study showed that the use of different fat contents of milk and cocoa powder positively affected the rheological parameters and preferences of consumers. The findings may be considered to improve dairy and cocoa-based products formulation by the food industry.
