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Öğe A novel approach towards evaluation of joint technology performances of battery energy storage system in a fuzzy environment(Elsevier, 2021) Bulut, Merve; Ozcan, EvrencanThe joint technological features of battery energy storage systems (BESSs), which are a strategic reserve resource with different operating systems, make it possible for these technologies to be comparable with each other. However, technology needs to be evaluated with stakeholders in the energy system to eliminate some engineering and feasibility concerns, to be included in energy storage policies, and to be utilizable. This aim has involved a high level of complexity and uncertainty, as well as many qualitative and quantitative criteria in both technology and stakeholder assessment. Therefore, in the study, Pythagorean Fuzzy (PF) sets, which offer the decision-maker the advantage of a wide evaluation scale, were used with AHP-TOPSIS combination, which has proven effective in many different applications in the literature. The first use of this methodology for joint technology performance evaluation of BESSs will be a visionary contribution to the literature. In the case study, 5 different BESSs (Lead-acid, Lithium-ion, Vanadium redox flow battery, Sodium nickel chloride, Sodium-sulfur) alternatives have been evaluated with the joint technological criteria of these alternatives. The results show that the most important criteria in battery performance are lifetime calendric, energy rating/discharge time, and life cycle criteria, respectively. Another conclusion of the case study is that while the rapidly developing Lithium-ion battery takes the first place in future projections, it takes second place in Lead-acid batteries, which are mature technology.Öğe Advanced forecast models for the climate and energy crisis: The case of the California independent system operator(Pergamon-Elsevier Science Ltd, 2025) Bulut, Merve; Aydilek, Huseyin; Erten, Mustafa Yasin; Ozcan, EvrencanClimate change across the globe, especially extreme temperature events, is increasing pressures on energy systems. The extraordinary situation that California and the West faced in late August and early September 2022, when record temperatures led to a spike in electricity demand, provided an important backdrop for the resilience and sustainability of clean energy technologies. The electricity market managed by the California Independent System Operator is considered in this study to examine the potential impacts on electricity demand spikes and system resilience. The methodology of the research involves analyzing the system operator's responses to electricity demand using advanced deep learning algorithms, convolutional neural network - long-short term memory and attention mechanism models. 1, 3 and 7-days forecasts of electricity demand were made using models in the day ahead market. In 1-day forecasts, while the former models have a mean absolute percentage error value of 12.40%, the latter model has a lower error rate of 10.36%. Overall findings obtained from various scenarios show that the long-short term memory - attention mechanism can more effectively understand complex patterns in energy demand and has the potential to increase system stability against such extreme weather events. The advanced horizon of the study offers an important perspective on how clean energy technologies, especially battery energy storage systems, can provide solutions to today's priority problems such as climate change and extreme temperature.Öğe An integrated model for evaluating the risk factors of crypto-currencies under fuzzy environment(Pergamon-Elsevier Science Ltd, 2024) Bulut, Merve; Uyar, Mehmet Erkin; Ozcan, EvrencanWhile blockchain technology and cryptocurrencies offer numerous advantages and innovations, it is essential to be aware that their implementation processes are fraught with a myriad of risk factors. A study in which risks in cryptocurrencies are evaluated using quantitative data is an important need for investors and academics. As far as it is known from the literature, although blockchain technology is frequently used in different fields, there is no study examining the risks in cryptocurrencies with fuzzy set theory. Unlike the common return and security focused studies in the literature, a comprehensive risk factor determination has been made by evaluating a total of 21 criteria that directly and indirectly affect this virtual currency. Within the study, investors have been provided with insights into the alternatives relevant to the risks under determined through the utilization of an alternative set of considerable magnitude, uncommonly encountered in the existing literature. Considering the complexity and uncertainty of the problem, an Analytic Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution method integrated with Spherical fuzzy sets have been used. The most preferred cryptocurrencies have been evaluated according to a set of criteria ranging from their financial structures to their environmental impacts. Ethereum, which stands out with its blockchain structure, has been the best choice. Tether, designed to provide a stable price point, and Dogecoin, designed as a payment system, appeared to be the worst ones.Öğe Evaluation of the hybrid renewable energy sources using sustainability index under uncertainty(Elsevier, 2021) Yurek, Yagmur Torul; Bulut, Merve; Ozyoruk, Bahar; Ozcan, EvrencanAsa result of continuous growth in population, efforts to meet increasing energy demand in a balanced way in the future as it is today, has led to the emergence of the sustainability concept. Sustainability is mainly considered with technical, economic, environmental and social aspects, hence the most effective instruments to ensure sustainability are renewable energy technologies which are interchangeably used for sustainability. Renewable energy problems regarding sustainability have inherently conflicting goals with a high degree of ambiguity and complexity. To address these problems, multi-criteria decision making (MCDM) approach serve best. Therefore, in this study, a MCDM approach integrating Pythagorean fuzzy sets (PFSs) in AHP-TOPSIS method combination was used to calculate the sustainability index and for ranking renewable energy technologies, hybrids and battery energy storage systems (BESSs) in Turkey. The sustainability index was handled in three main aspects, i.e., uninterrupted supply, economic supply and environmentally friendly supply. The results pointed out that hydro + solar and wind + solar hybrid alternatives have the highest sustainability index value while geothermal and biomass rank as the lowest two alternatives energy technologies. (C) 2021 Elsevier Ltd. All rights reserved.Öğe How to build a state-of-the-art battery energy storage market? Challenges, opportunities, and future directions(Elsevier, 2024) Bulut, Merve; Ozcan, EvrencanThe leading role of the recent developments in critical energy storage technologies that will ensure universal energy access in a balanced and reliable way belongs to battery energy storage systems (BESSs), which are a robust stakeholder. The fact that these are regulated instruments in electricity markets, due to their technical nature when equipped with solid policies, can serve not only the purpose of carbon neutrality and net zero but also restrain the problems of warming and climate change. This study, which is an answer to the questions of how modern policies affect the markets and how the markets shape the policies, explores the strategic balance of BESSs in the role of price taker/price maker when it comes to market effect. Strategic balance encompasses not only the commercial maneuvers of policymakers within the liberalized electricity market, but also the decay of electrochemical accumulations throughout their practical life cycles, considering the utilization of industrial symbiosis practices to promote a circular economy for the disposal of end-of-life (EoL) electrochemical stacks. In this respect, this study, which establishes the policy-market-symbiosis triangle for BESSs, is the first to examine this perspective in the literature to the best of our knowledge. Each corner of the triangle systematically considers the role of policies, market dynamics, and symbiotic relationships in directing the deployment and use of these modern systems towards a common goal.Öğe In-Vitro Anticancer and Antibacterial Activities of Brominated Indeno[1,2-b]qinoline Amines Supported with Molecular Docking and MCDM**(Wiley-V C H Verlag Gmbh, 2021) Aydin, Ali; Okten, Salih; Erkan, Sultan; Bulut, Merve; Ozcan, Evrencan; Tutar, Ahmet; Eren, TamerThe present study describes mono substituted indeno[1,2-b]quinolines (3 a-c and 5) have much more antiproliferative potentials than positive controls against A549, HeLa, MCF7 and Hep3B cell lines (IC50 values 1.1-29.6 mu g/mL) and show similar cytotoxicity (14.3 % to 19.8 %) to cells such as controls. Moreover, the mono substituted indeno[1,2-b]quinoline amines (3 a-c and 5) exhibit significant antimicrobial activity with MIC values between 15.62 mu g/mL and 250 mu g/mL. The compounds can also bind to DNA in the groove binding mode with a binding constant range of 1.1x10(3)-1.1x10(5) M-1. The anticancer and antibacterial properties of compounds were confirmed with the molecular docking simulation for their pharmacokinetic. As a result, the preliminary experimental data and a multi-criteria decision-making methodology (MCDM) indicated that the mono substituted indeno[1,2-b]quinoline amine derivatives, especially 3 a and 5, exhibit effective pharmacological properties. parameters and their interaction with related cells at the molecular level.Öğe Integration of Battery Energy Storage Systems into Natural Gas Combined Cycle Power Plants in Fuzzy Environment(Elsevier, 2021) Bulut, Merve; Ozcan, EvrencanThe increasing share of renewable energy sources in the grid has created the need for operational flexibility for natural gas combined cycle power plants (NGCCPPs) that offer high thermal efficiency and ease of operation. However, battery energy storage technologies (BESSs), which eliminate the time and ratio imbalance between energy supply and demand, will be effective solutions that can increase plant flexibility when integrated with NGCCPPs. This integration is a decision problem with high uncertainty and complexity evaluated by grid stakeholders. For this reason, firstly, the operational goals of the power plants have been prioritized in terms of BESSs. At this phase, the combination of Pythagorean Fuzzy AHP and Pythagorean Fuzzy TOPSIS methods was used. Afterwards, to pose a sustainable projection under the mentioned operational goals, which is the main purpose of the study has been started to the phase of ranking BESSs (lead-acid, lithium-ion, vanadium redox flow battery, sodium-nickel chloride, sodium-sulfur) under different conditions. By this means, evaluating the BESSs for different application purposes, rationalizing the high uncertainty in both the energy sector and electricity markets at the same time with the proposed hierarchical model will provide an important projection to the literature. The results of the proposed methodology show that lithium-ion batteries can be an effective replacement technology alternative for NGCCPPs, given their economic benefits and technological capabilities. Another result is that the scalability of BESSs can be used for different operational goals in the power plants. This also can allow the establishment of a hybrid BESS facility.Öğe In–Vitro Anticancer and Antibacterial Activities of Brominated Indeno[1,2-b]qinoline Amines Supported with Molecular Docking and MCDM**(John Wiley and Sons Inc, 2021) Aydın, Ali; Ökten, Salih; Erkan, Sultan; Bulut, Merve; Özcan, Evrencan; Tutar, Ahmet; Eren, TamerThe present study describes mono substituted indeno[1,2-b]quinolines (3 a–c and 5) have much more antiproliferative potentials than positive controls against A549, HeLa, MCF7 and Hep3B cell lines (IC50 values 1.1–29.6 ?g/mL) and show similar cytotoxicity (14.3 % to 19.8 %) to cells such as controls. Moreover, the mono substituted indeno[1,2-b]quinoline amines (3 a–c and 5) exhibit significant antimicrobial activity with MIC values between 15.62 ?g/mL and 250 ?g/mL. The compounds can also bind to DNA in the groove binding mode with a binding constant range of 1.1×103–1.1×105 M?1. The anticancer and antibacterial properties of compounds were confirmed with the molecular docking simulation for their pharmacokinetic. As a result, the preliminary experimental data and a multi-criteria decision-making methodology (MCDM) indicated that the mono substituted indeno[1,2-b]quinoline amine derivatives, especially 3 a and 5, exhibit effective pharmacological properties. parameters and their interaction with related cells at the molecular level. © 2021 Wiley-VCH GmbHÖğe N-function Heterocycles as Promising Anticancer Agents: A Case Study with a Decision Model in a Fuzzy Environment(Bentham Science Publ Ltd, 2024) Bulut, Merve; Okten, Salih; Ozcan, Evrencan; Eren, TamerObjective This study aimed to evaluate the data according to five accepted criteria for the effects of twenty promising anticancer agents on five different cancer types and determine the most effective compounds for further in vitro and in vivo studies with a multi-criteria decision-making method (MCDM), which rationalizes decision making in a fuzzy environment to avoid the high cost and time requirements of further preclinical and clinical studies.Methods Within the scope of the study, the weights of the five criteria were evaluated with the Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP), which is one of the multi-criteria decision-making methods, and a comparison was made with the criteria weights obtained as a result of the Complex Proportional Assessment (COPRAS) method. Moreover, the effects of criteria weights calculated with PFAHP on evaluating alternatives were analyzed using different scenarios.Results Experimentally, twenty N-heterocyclic quinoline derivatives with different substituents were identified as promising anticancer agents. In this study, the multi-criteria decision-making (MCDM) model was proposed to identify the most promising anticancer agents against all tested cell lines. Both the experimental and model results indicated that 20, 17, 19, and 7 are the most promising anticancer agents against the A549, HeLa, Hep3B, HT29, and MCF7 cell lines. Moreover, different scenarios were generated and analyzed to prove the consistency of the proposed methodology.Conclusion MCDM strongly suggests that compounds 20, 17, 19, and 7 can be further investigated for in vivo studies.Öğe A new approach to determine maintenance periods of the most critical hydroelectric power plant equipment(ELSEVIER SCI LTD, 2021) Bulut, Merve; Özcan, EvrencanPower plants are large-scale generation facilities with high investment costs established to ensure sustainable energy supply. Maintenance-Repair activities constitute the most critical process to be considered in these facilities. Because, these activities cause planned or unplanned generation interruptions. For this reason, it is of great importance to calculate the maintenance periods determined on the basis of equipment health in the power plants. From this point of view in this study, the problem of determining maintenance periods is handled in the big scale hydroelectric power plant in Turkey. Due to the complexity of problem environment particularly including 16 equipment groups with the highest level of criticality on the power plant, proposing combined multi criteria decision making model (MCDM) has become invaluable for the purpose of reaching convincing outcomes. In order to obtain maximum benefit, investigation for appropriate probability distributions of 11-year failure and repair data belonging to the equipment group and analyses for reliability, availability and maintainability analyses are performed for 16 critical equipment groups. Finally, maintenance periods for 16 equipment groups were calculated using the curve family formed by the cost coefficient of Weibull distribution parameters. On the specified maintenance days based on system reliability and maintenance costs, it was observed that 16 critical equipment had no failures during the 1-year monitoring process. This indicates a 100% improvement.Öğe OKUL ÖNCESİ ÖĞRETMEN VE ÖĞRETMEN ADAYLARINDA ÇOKKÜLTÜRLÜ KİŞİLİĞİN ÇOKKÜLTÜRLÜ EĞİTİM TUTUMLARI ÜZERİNDEKİ ETKİSİNİN İNCELENMESİ(Kırıkkale Üniversitesi, 2016) Bulut, Merve; Sarıçam, HakanBu çalışmanın temel amacı; okul öncesi öğretmen ve öğretmen adaylarının çokkültürlü kişilik özelliklerinin, çokkültürlü eğitim tutumları üzerindeki etkilerini incelemektir. Bu amaç doğrultusunda, nicel metot kapsamında betimsel araştırma yöntemlerinden ilişkisel tarama tekniği kullanılmıştır. 174 okul öncesi öğretmeni ve 350 öğretmen adayından elde edilen verilerin analizinde, çokkültürlü kişilik ile çokkültürlü eğitim tutumları arasındaki ilişkinin düzeyini ve yönünü belirlemek için Pearson Momentler Çarpımı Korelasyon Analizi ve Çoklu Regresyon Analizi kullanılmıştır ve ilişkinin doğrusal pozitif korelasyon olduğu sonucuna ulaşılmıştır. Veri analizi sonucu elde edilen bulgular ışığında; çokkültürlü kişilik ile çokkültürlü eğitim tutumları arasında orta düzeyde ilişki olduğu ve çok kültürlü kişiliğin alt boyutlarının çokkültürlü eğitim tutumlarının % 39’unu yordadığı sonucuna ulaşılmıştır. Ek olarak; okul öncesi öğretmenlerinin çokkültürlü kişilik özelliklerinin ve çokkültürlü eğitim tutumlarının, okul öncesi öğretmen adaylarınınkinden daha yüksek olduğu tespit edilmiştir.Öğe Optimization of electricity transmission by Ford-Fulkerson algorithm(Elsevier, 2021) Bulut, Merve; Ozcan, EvrencanThe demand for energy is constantly increasing worldwide with the increase in population, globalization, and developing technology. The energy generated in the sustainability axis in the power plants is transmitted to the substations in the consumption regions and from there to the interconnected system with electricity transmission lines with available transfer capabilities (ATC). This shows the necessity of sustainability in transmission as well as generation. Although there are many studies in the literature to calculate and improve the ATCs of the lines, the cases of handling the transmission lines separately and ensuring the maximum energy flow in the whole network were not considered. In this context, an optimal solution approach to the problem is presented with the Ford-Fulkerson algorithm, which is often preferred in the applications of maximum flow problems due to its advantages but used for the first time in electricity transmission in this study. The proposed approach has been applied to the eleven-nodes network with a source node located in the generation zone and a target node located in the target, and the highest possible amount of energy flow was calculated considering the time complexity status of the algorithms in programming languages. (C) 2021 Elsevier Ltd. All rights reserved.Öğe Optimization of electricity transmission by Ford–Fulkerson algorithm(Elsevier Ltd, 2021) Bulut, Merve; Özcan, EvrencanThe demand for energy is constantly increasing worldwide with the increase in population, globalization, and developing technology. The energy generated in the sustainability axis in the power plants is transmitted to the substations in the consumption regions and from there to the interconnected system with electricity transmission lines with available transfer capabilities (ATC). This shows the necessity of sustainability in transmission as well as generation. Although there are many studies in the literature to calculate and improve the ATCs of the lines, the cases of handling the transmission lines separately and ensuring the maximum energy flow in the whole network were not considered. In this context, an optimal solution approach to the problem is presented with the Ford–Fulkerson algorithm, which is often preferred in the applications of maximum flow problems due to its advantages but used for the first time in electricity transmission in this study. The proposed approach has been applied to the eleven-nodes network with a source node located in the generation zone and a target node located in the target, and the highest possible amount of energy flow was calculated considering the time complexity status of the algorithms in programming languages. © 2021 Elsevier LtdÖğe Planning of prescriptive maintenance types for generator with fuzzy logic-based genetic algorithm in a hydroelectric power plant(Elsevier Ltd, 2024) Bulut, Merve; Özcan, EvrencanThe move to predictive and prescriptive maintenance underlines the need for cost-effective methods to monitoring degradation and predicting failures. It is in hydroelectric power plants (HPPs) where the most powerful and unique techniques of this evolution were observed. The final premise of this transition is the need to improve the decision-making process for planning activities in the Prescriptive Maintenance Planning (MP). This encourages the use of fuzzy set theory in process management. Although there are many studies on MP in the literature, these studies do not fully reflect the real life as they ignore potential schedule delays and the indirect impact of sustainable strategy on revenues. Therefore, in the first stage of this study, it is aimed to weight the maintenance types (MTs) on a plant basis for the generator, which is the most critical system of the pumped storage HPP, and in the second stage, it is aimed to create MPs that minimize delays due to system shutdowns with weighted MTs. For this purpose, in the first stage, the MTs for the HPP were weighted by AHP-TOPSIS combination augmented with Pythagorean fuzzy numbers, and in the second stage, a Genetic Algorithm model was designed for the problem of coordinating maintenance durations and deadlines in addition to these weights. Averaged over 50 iterations, the average number of delayed MPs is 142.55, indicating that the algorithm is successful in reducing delayed MPs, while the average weighted delay value is 172.85, indicating that more work is needed in terms of weighted delay. © 2023 Elsevier LtdÖğe Ranking of advertising goals on social network sites by Pythagorean fuzzy hierarchical decision making: Facebook(Pergamon-Elsevier Science Ltd, 2023) Bulut, Merve; Ozcan, EvrencanThe rapid growth of social networking sites (SNSs), known as web-based services, has become a natural digital phenomenon, reinforcing e-commerce concepts such as business-to-consumer (B2C) and consumer-to-consumer (C2C), known as social commerce. One platform that provides end-to-end connections, from increasing brand awareness to creating new opportunities in the contemporary marketing approach, is Facebook, which reaches a broad audience of advertisers with the advantage of many users. Facebook has updated its ad targets in recent years. Choosing the right advertising target will directly affect company and campaign performance. Considering this problem structure, it is compatible with fuzzy set theory since it contains conflicting criteria and high complexity in an environment of uncertainty. As far as it is known from the literature, although there are many academic studies on Facebook ad analysis, there is no study investigating advertising targeting with fuzzy set theory. Therefore, in the decision model developed for Facebook advertising targeting, a fuzzy decision model is proposed for targeting by the campaign structure. The first stage of the model includes the combined use of AHP-TOPSIS methods by evaluating performance criteria and presenting advertising targets in social media campaigns with Pythagorean fuzzy sets. As a result, it has been reached that the awareness-raising strategy for local or global users should include campaign activities that will increase brand awareness.Öğe REKLAM ÇİZELGELEMEDE HEDEF KİTLE PROFİLİNE YÖNELİK YENİ BİR MODEL ÖNERİSİ(Kırıkkale Üniversitesi, 2020) Bulut, Merve; Yurdakul, Kevser; Eren, Tamer; Özcan, Evren CanPotansiyel müşterilerine ulaşmak isteyen firmalar, geçmişten günümüze kadar tüketicilerin ürün veya hizmet satın almasında etkili ikna aracı olan reklam faaliyetlerine başvurmaktadırlar. Medya ajansları ise yürüttükleri faaliyetler açısından müşteri ile firmalar arasında önemli bir pozisyona sahiptirler. Medya ajanslarınca yürütülen bu reklam faaliyetleri, işletmelerin bütçeleri doğrultusunda en doğru hedef kitleye, uygun reklam mecralarında ulaşmayı amaçlayan çizelgeleri içermektedir. Pazarlama çalışmaları incelendiğinde hedef kitleye doğrudan ulaşabilen geleneksel reklam mecralarının (televizyon (TV), internet, gazete vb.) en gözdesi kuşkusuz halen daha televizyondur. Bu bağlamda, binden fazla kanal imkanı sunan televizyon mecrası, çalışmanın kapsamını oluşturmaktadır. Medya planlamacıların televizyon için hazırladığı reklam çizelgelerini oluşturmak gerçek hayatta karmaşık bir problemdir. Bu bağlamda, literatürde sezgisel ve optimal yöntemler kullanarak soruna çözüm arayan çalışmalar bulunmaktadır. Bu çalışmaların en önemli eksikliği, medya kuruluşlarının doğru hedef kitleye ulaşma kabiliyetinin göz ardı edilmesi ve soruna dahil edilmemesidir. Ancak bu çalışmada, reklam çizelgeleme probleminin bir medya ajansında uygulanması, literatüre katkı sağlar niteliktedir. Uygulamada bir medya ajansında temizlik ürünü üreten bir firmanın reklam tanıtımı için hedef kitlenin en büyüklenmesi amacıyla bir matematiksel model geliştirilmiş ve çizelgeler elde edilmiştir. Modelin ürettiği optimal sonucun geçmiş çizelgeler ile karşılaştırılmasıyla, hedeflenen kitlenin mevcut bütçe ile %16,25 oranında arttığı ve farklı uzunluktaki reklamlar arasındaki gösterim dengesi kurulduğu gözlemlenmiştir.Öğe Socio-political evaluation of renewable energy resources under uncertain environment(Pergamon-Elsevier Science Ltd, 2023) Yurek, Yagmur Torul; Ozyoruk, Bahar; Ozcan, Evrencan; Bulut, MerveCountries are developing green transition policies to reduce their dependency on conventional resources and to eliminate environmental concerns while meeting increasing energy demand. Renewable energy, thus, has a crucial effect on accomplishing these policies. To ensure a rapid spread of renewable energy and develop resilient renewable energy policies concerning the evaluation of renewable energy resources, socio-political factors should be considered. However, evaluating renewable energy technologies regarding the socio-political aspect is clearly more difficult and uncertain than a study focused only on quantifiable objectives, but it is critical since real projects are affected by such aspects. Multi-criteria decision-making (MCDM) techniques are best for addressing such issues with conflicting objectives. In this study, an integrated AHP-TOPSIS method with Py-thagorean fuzzy sets (PFSs) was used to create the socio-political index for evaluating renewable energy hybrid technologies and Battery Energy Storage Systems (BESSs) in Turkey. The results showed that while solar energy has the highest socio-political index, Run of River with BESSs alternative ranks as the lowest.Öğe Statistical and Analytical Comparison of Multi-Criteria Decision Making Methods in the Evaluation of Energy Generation Investment Alternatives: The Case of Turkey(Gazi Univ, 2022) Özcan, Nermin Avşar; Bulut, Merve; Özcan, Evrencan; Eren, TamerEnergy plays an important role in the countries realization of sustainable development moves in the global world. Especially, the influence level of investments to be made in the energy generation field on the development of sustainable energy policy is taken into consideration as a criterion that takes the global positions of the countries upwards. In this context, the fact that countries make investments to utilize the domestic and renewable energy resources they possess at the highest level reflects a become a necessity in terms of affecting all the criteria of economy, uninterruptedness, environmental awareness, and efficiency, which are the 4 pillars of sustainable energy policies. Accordingly, there are many studies in the literature that consider the suitability of the problem structure for multi-criteria decision-making methods and that are carried out at the regional or national level using different methods. However, in this study, unlike the literature, potential investments from all energy resources can be realized for Turkey have been evaluated under the criteria, which are calculated analytically, base of data and overarching. Energy investment alternatives ranking problem has been solved by using 7 methods/method combinations suitable for problem structure and recognized methods in the literature for the first time and obtained results have been evaluated in terms of Turkey, global energy sector and statistically. While these evaluation results have shown that wind and hydroelectric energy, which are among the renewable energy sources, contribute to the sustainable energy policy, in other hands, natural gas, which is among the fossil resources has been concluded that will be an indispensable source of investment for many years in terms of Turkey. In addition, it was concluded that the results obtained from all solution methods have a high correlation with statistical evaluation. This situation has confirmed that have been gathering significant criteria for sustainable energy. It is expected to enable creation of sustainable energy policies that can meet the ever-changing conditions by this study which includes the results that consistent with real life and statistically significant.Öğe Uncertainty modelling in the selection of climate control system manufacturers for preconstruction of hydroelectric power plants(Pergamon-Elsevier Science Ltd, 2024) Bulut, Merve; Ozcan, EvrencanHeating, ventilation, air conditioning, and refrigeration systems, the critical intersection point of low environmental impact, neutral thermal comfort and acceptable indoor air quality are technologies that directly affect the electricity generation of hydroelectric power plants on the axis of sustainability. Addressing challenges in decision-making for pre-construction system selection, this study employs fuzzy set theory, specifically Pythagorean and q-Rung Orthopair fuzzy sets, to model uncertainty in hydroelectric power plant specific considerations. Utilizing Analytic Hierarchy Process, Technique for Order of Preference by Similarity to Ideal Solution and the Complex Proportional Assessment the model evaluates ten global climate control system manufacturers. Sensitivity and comparative analysis ensure result validity, offering valuable insights for industry professionals and decision-makers, streamlining the complex process of selecting the most suitable manufacturer.
