İnşaat Mühendisliği Bölümü Yayın Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/395
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Browsing İnşaat Mühendisliği Bölümü Yayın Koleksiyonu by Institution Author "Kucukali, Serhat"
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Article Citation - WoS: 32Citation - Scopus: 37Environmental Risk Assessment of Small Hydropower (Shp) Plants: a Case Study for Tefen Shp Plant on Filyos River(Elsevier Science Bv, 2014) Kucukali, SerhatA multi-criteria scoring tool is used to assess the environmental risk level of small hydropower plants on the basis of documented evidence, measured data, and on-site observations. The assessment is based on evaluating compliance with the standards of the European Bank for Reconstruction and Development (EBRD). The following environmental criteria are assessed: environmental flow, water quality, fish passage and protection, watershed protection, threatened and endangered species. I evaluated the Tefen hydropower plant, which has been in operation on the Filyos River in northwestern Turkey since 2011. The assessment showed that the plant failed all of the EBRD criteria. (C) 2013 International Energy Initiative. Published by Elsevier Inc. All rights reserved.Article Citation - WoS: 5Citation - Scopus: 8An Experimental Investigation of Flow Resistance and Turbulent Flow in Brush Fish Pass(Ice Publishing, 2019) Kucukali, SerhatThe present study aimed to search for chicken abdominal fat deposition-related polymorphisms within RB1 and to provide functional evidence for significantly associated genetic variants. Association analyses showed that 11 single nucleotide polymorphisms (SNPs) in intron 17 of RB1, were significantly associated with both abdominal fat weight (P < 0.05) and abdominal fat percentage (P < 0.05). Functional analysis revealed that the A allele of g.32828A>G repressed the transcriptional efficiency of RB1 in vitro, through binding nuclear factor-kappa B (NF-B-K) and SRY-related HMG box protein 2 (SOX2). Furthermore, RB1 mRNA expression levels in the abdominal fat tissue of individuals with the A/A genotype of g.32828A>G were lower than those of individuals with the G/G genotype. Collectively, we propose that the intronic SNP g.32828A>G of RB1 is an obesity-associated variant that directly affects binding with NF-B-K and SOX2, leading to changes in RB1 expression which in turn may influence chicken abdominal fat deposition.Article Citation - WoS: 78Citation - Scopus: 92Finding the Most Suitable Existing Hydropower Reservoirs for the Development of Pumped-Storage Schemes: an Integrated Approach(Pergamon-elsevier Science Ltd, 2014) Kucukali, SerhatThis study aims to evaluate existing hydropower reservoirs for the development of pumped-storage schemes by using multi-criteria scoring technique. This method enables a screening of existing hydropower reservoirs, in order to assess and rank potential sites for pumped-storage development. This analysis is based on the documented evidence, measured data, and site surveys. The site assessments are categorized in 6 criteria namely geometrical conditions (maximum head, head to water way length ratio, distance to grid connection), geological conditions, environmental, and social conditions. In the context of the study, 7 existing hydropower reservoirs in Turkey, each with a catchment area of more than 50 km(2), are evaluated in order to be utilized as the lower reservoirs of pumped-storage facilities. The overall score of each candidate site is obtained and, their performance is compared. The results indicate that Turkey have suitable existing hydropower reservoirs for the development of pumped-storage facilities. However, the country lacks from legal and market framework for the establishment of pumped-storage power plants. (C) 2014 Elsevier Ltd. All rights reserved.Article Citation - WoS: 45Citation - Scopus: 51Risk Assessment of River-Type Hydropower Plants Using Fuzzy Logic Approach(Elsevier Sci Ltd, 2011) Kucukali, SerhatIn this paper, a fuzzy rating tool was developed for river-type hydropower plant projects, and risk assessment and expert judgments were utilized instead of probabilistic reasoning. The methodology is a multi-criteria decision analysis, which provides a flexible and easily understood way to analyze project risks. The external risks, which are partly under the control of companies, were considered in the model. A total of eleven classes of risk factors were determined based on the expert interviews, field studies and literature review as follows: site geology, land use, environmental issues, grid connection, social acceptance, macroeconomic, natural hazards, change of laws and regulations, terrorism, access to infrastructure and revenue. The relative importance of risk factors was determined from the survey results. The survey was conducted with the experts that have experience in the construction of river-type hydropower schemes. The survey results revealed that the site geology and environmental issues were considered as the most important risks. The new risk assessment method enabled a Risk Index (R) value to be calculated, establishing a 4-grade evaluation system. The proposed risk analysis will give investors a more rational basis to make decisions and it can prevent cost and schedule overruns. (C) 2011 Elsevier Ltd. All rights reserved.Article Citation - WoS: 30Citation - Scopus: 32Risk Scorecard Concept in Wind Energy Projects: an Integrated Approach(Pergamon-elsevier Science Ltd, 2016) Kucukali, SerhatThe proposed risk assessment tool quantifies economic, environmental, political, and societal risks in wind energy projects. The risks are quantified based on the measured data and document evidence. An important component of the proposed methodology includes converting different external risks into a common scale and these scales express the level of risk factors. A survey was conducted with the experts in order to determine the relative importance of external risks. Applicability of the proposed tool is tested on real time wind power plants that are located in Izmir Province on the Aegean coast of Turkey. Change in laws and regulations, environmental issues, local community, grid connection, land use and permits, and erroneous wind resource assessment appeared to be key risk factors. The findings of case studies showed that the perception of inadequate understanding of the potential risks can lead to significant revenue loss. The proposed method estimates each risk factor level separately and then aggregates them by calculating the Project Risk Score (PRS) which is linked to the normalized revenue loss. (C) 2015 Elsevier Ltd. All rights reserved.

