Yazar "Yavuzdeger, Abdurrahman" seçeneğine göre listele

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    Assessing the Carbon Footprint of Plastic Bottle Blow Mold Based on Product Life Cycle for Managing the Mold Industry's Carbon Emission
    (Mdpi, 2024) Yavuzdeger, Abdurrahman; Esenboga, Burak; Tumay Ates, Kuebra; Demirdelen, Ozge; Yuksel, Mehmet
    Calculating the carbon footprint (CF) holds paramount importance in today's world as it provides a tangible measure of our impact on the environment. In the corporate realm, businesses armed with CF data can optimize operations, reduce waste, and adopt greener technologies, leading to both environmental and economic benefits. In this study, carbon emissions-a significant global issue-are investigated through the lens of the ISO 14067-ISO Product Based Carbon Footprint (CF) standard, focusing on the operations of a mold company. The primary innovation lies in meticulously tracing every stage of plastic bottle blow mold production, the most prevalent product in the mold industry, from its raw material input to its final form as a mold in the factory. Subsequently, detailed calculations and analysis are conducted to quantify the carbon footprint associated with this process and its impact on the environment. The calculated CF for one ton of PBBM produced by Petka Mold Industry is presented. This study fills a critical gap in the literature by providing a holistic understanding of the carbon footprint of plastic bottle blow mold (PBBM) production, thereby offering valuable insights for managing carbon emissions and promoting sustainability within the mold industry. By integrating a life cycle product carbon footprint thinking into industrial practices, a greener, more sustainable future can be paved, mitigating the ecological footprint of the PBBM.
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    Carbon Emission Analysis and Reporting in Urban Emissions: An Analysis of the Greenhouse Gas Inventories and Climate Action Plans in Sarıçam Municipality
    (Mdpi, 2024) Davutluoglu, Orkun; Yavuzdeger, Abdurrahman; Esenboga, Burak; Demirdelen, Ozge; Ates, Kuebra Tuemay; Demirdelen, Tugce
    The urban carbon footprint (UCF) is an important tool for assessing an organization's ecological impacts and in guiding sustainability efforts. This calculation is usually measured in tons of carbon dioxide equivalent (CO2-eq). Calculations provide important data to determine strategies to reduce the carbon footprint and establish sustainability targets. Various standards and protocols guide UCF calculation, and many organizations aim to make these data transparent to their stakeholders and the public. This study aims to calculate the UCF of Sar & imath;& ccedil;am Municipality (SM) in the Adana Province of T & uuml;rkiye. This study includes the greenhouse gas emission inventories resulting from all activities of the SM main service building, guest house, construction site service building, Cultural Center service building, and additional service buildings between 1 January 2022 and 31 December 2022. The calculations include generator fuel consumption, electricity consumption, the refrigerant gas leaks and refills resulting from these activities, the fuel consumed in vehicles owned by the company or whose fuel consumption is under company control, emissions originating from personal travel, emissions originating from customers and visitors, emissions originating from business travel, purchases, etc. Emissions from products purchased and emissions from waste transportation are included. The findings show that, in 2022, the total UCF of SM was equal to 10,862.46 tons of CO2-eq. The Paris Agreement aims to reduce the per capita emissions to approximately two tons of CO2-eq by 2030. The carbon footprint per employee within the municipality was calculated at 12.43 tons of CO2-eq, as derived from the analyzed data. The results reveal the importance of implementing sustainable practices and strategies within SM, such as energy efficiency measures, waste reduction, and the adoption of renewable energy sources, to mitigate its carbon footprint. This study plans to provide a basis for SM's reduction efforts by keeping greenhouse gas emissions under control.
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    Design and Finite Element Analysis of Permanent Magnet Synchronous Generator for Wind Turbine Application
    (Springer Science and Business Media Deutschland GmbH, 2021) Yavuzdeger, Abdurrahman; Esenboga, Burak; Ekinci, Firat; Demirdelen, Tugce
    Today, the demand for renewable energy sources is increasing day by day in order to reduce fossil fuels and meet the increasing energy demand. The fact that wind energy is suitable for energy production at continuous or low wind speed depending on geographical conditions increases its importance among eco-friendly energy sources. However, energy efficiency is one of the most important issues in the renewable energy field because energy production from these energy sources is constantly changing due to climate changes. Therefore, it is very important to use renewable energy sources efficiently and to enable innovative developments that will increase energy efficiency. In this chapter, a more efficient wind turbine alternator is modeled and analyzed in detail by using the ANSYS/Maxwell software program. The main objective of this chapter is to create an efficient alternator model used in both vertical and horizontal wind turbines. This alternator model is selected as a permanent magnet synchronous generator (PMSG) since there is no need for external excitation, smaller in size and easy to control. Firstly, the parameters are determined by using the mathematical model of the alternator. Secondly, the alternator is modeled and designed with the help of the design parameters such as pole pair, magnetizing inductance, the stator leakage, winding properties, number of turns and slots, etc. During the design process, all materials of the alternator are designed by taking into consideration of characteristic features of them. Finally, the designed alternator is electromagnetically analyzed thanks to ANSYS/Maxwell Electromagnetic Suit program which uses the Finite Element Method (FEM). Therefore, the electrical efficiency of the wind turbine alternator at different wind speeds is performed and the optimum design of the alternator is obtained. It is hoped that this study will guide for wind power plant operators and researchers interested in wind turbine design parameters. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    Experimental investigation on solar PV panel dust cleaning with solution method
    (Pergamon-Elsevier Science Ltd, 2022) Ekinci, Firat; Yavuzdeger, Abdurrahman; Nazligul, Hueseyin; Esenboga, Burak; Mert, Basak Dogru; Demirdelen, Tugce
    The efficiency of solar PV panels varies depending on various factors; the type of material used to generate electrical energy, the quality of workmanship in the solar PV panel installation, environmental factors, dirt on the PV panel and design. Dust and dirt formed according to environmental conditions adhere to the solar PV panels and prevent the solar radiation from penetrating the surface. Thus, the solar PV panels need to be cleaned. In this study, three different chemical solutions prepared in laboratory conditions are applied to solar PV panels with a solar PV panel cleaning robot, which is manufactured using 3D printer technology to remove dust and dirt accumulated on solar PV panels for the first time in the literature. Thus, the effectiveness of chemical solutions to increase solar PV panel efficiency is demonstrated. The penetration of chemical solutions on the PV panel surface is ensured by the solar PV panel cleaning robot. The experimental set is realized under natural dust and dirt conditions. The effectiveness of the chemical solutions and electrical performance analysis results of solar PV panels are demonstrated by measurements and tests. The amount of power harvested from the PV panel cleaned using proposed Solution 1 (2-propanol) has been increased by 15%.
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    Modeling and experimental validation of dry-type transformers with multiobjective swarm intelligence-based optimization algorithms for industrial application
    (Springer London Ltd, 2022) Demirdelen, Tugce; Esenboga, Burak; Aksu, Inayet Ozge; Ozdogan, Alican; Yavuzdeger, Abdurrahman; Ekinci, Firat; Tumay, Mehmet
    In recent years, the optimum and efficient design of the transformer core and conductive materials is the most significant issues to overcome the high-temperature problems. The temperature increases on the transformer materials are directly related to the energy efficiency of it. The overheating of the core and coils of the transformer reduces the amount of energy to be obtained from the transformer. However, copper, core, eddy current and other losses can be minimized by obtaining an optimum design of the transformer for maximum efficiency. Thus, the transformer life and the energy efficiency to be obtained from the transformer are maximized. The temperature rise and temperature distribution of the windings can be monitored by computer technology and the transformer can be safely overloaded and the production cost can be minimized. Also, the operating life of the transformers can be further increased by specifying hot spot temperatures on the transformer coils and core. In this study, 3 kVA and 5 kVA Dyn 11 connected 380/220-V dry-type transformers are optimized by multiobjective swarm intelligence-based optimization methods. The main contribution of this study is to prevent the overheating of the transformers by reducing the losses in the transformer core and coils and to reduce the costs of the transformer. The thermal and electromagnetic analyses of the transformers are realized by ANSYS/Maxwell software program which utilizes the industry-leading ANSYS/Fluent computational fluid dynamics and finite element method solvers. Finally, the experimental analyses are realized under the loaded conditions for the transformers. The experimental results are verified with the simulation results. The optimization, modeling, thermal/electromagnetic analysis and experimental processes are carried out step by step in this study. The transformer manufacturers will realize the optimum cost, efficiency and thermal analysis before transformers are manufactured.
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    Performance Assessment of a Novel Eco-Friendly Solar Panel Mounted Hybrid Rotating Energy System with Renewable Energy Applications
    (Taylor and Francis Ltd., 2023) Yavuzdeger, Abdurrahman; Ekinci, Firat
    It is a known fact that fossil fuels will be depleted in the near future owing to the negative effects on the environment. The number of applications using renewable energy sources instead of fossil fuels to obtain energy has increased significantly. It is aimed to provide effective energy production with the proposed rotary energy system (RES) installation for regions with high wind energy and solar energy potential. In the paper, the design, manufacturing process, installation, and output power prediction of a novel RES are presented. In the proposed system, a hybrid system whose energy is derived from solar and wind energy is envisaged. The electrical characteristics of the solar panels with dimensions 140 × 60 × 2.5 mm mounted on the prototype are 6 V 100 mA. The prototype has been tested at different rotation speeds to evaluate the effect of wind energy. Moreover, the output power prediction based on Feedforward Neural Network (FFNN) and Particle Swarm Optimization trained Feedforward Neural Network (PSO-FFNN) has been performed with the data obtained from the prototype system. The three quantitative standard statistical performance evaluation measures, root mean square error (RMSE), mean absolute percentage error (MAPE) and Theil's inequality coefficient (TIC) are employed to compare the performances of these architectures. FFNN architecture, the RMSE, MAPE and TIC values are calculated as 0.0690, 0.0455 and 0.0278, respectively. For the PSO-FFNN architecture, RMSE, MAPE and TIC values are 0.0530, 0.0383, and 0.0213, respectively. It has been proved that it will be produced energy more effectively thanks to the hybrid RES in meeting energy demand. © 2023 IETE.