Yazarlar
- Ozden, Talat(16)
- Akinoglu, Bulent G.(15)
- Sezer, İsmet(11)
- Basoglu, Mustafa Engin(9)
- Özden, Talat(8)
- Akpinar, Adem(7)
- Terhan, Meryem(7)
- Başoğlu, Mustafa Engin(6)
- Cakmak, Recep(6)
- Erol, Ismail(6)
- Peker, Iskender(6)
- Turan, Rasit(6)
- Akpinar, A.(5)
- Ar, Ilker Murat(5)
- Kömürcü, Murat Ihsan(5)
- Sezer, Ismet(5)
- Altas, Ismail H.(4)
- Altuner, Elif Esra(4)
- Benli, Tolga(4)
- Bozbeyoglu, Pinar(4)
- Kaygusuz, K.(4)
- Tunç, Merve Tuğçe(4)
- Akyol, Mehmet(3)
- Altan, Aytaç(3)
- Barut, Abdulkadir(3)
- Bilgin, Atilla(3)
- Genc, Omer(3)
- Kankal, Murat(3)
- Kaygusuz, Abdullah(3)
- Kaygusuz, Kamil(3)
- Ozden, T.(3)
- Pilatin, Abdulmuttalip(3)
- Saribiyik, Oguz Yunus(3)
- Searcy, Cory(3)
- Timurkutluk, Bora(3)
- Toros, Serkan(3)
- Turan, İsmet(3)
- Yanarates, Cagfer(3)
- Yanarateş, Cağfer(3)
- Çakmak, Recep(3)
Yayınlar
- MakaleAçık Erişim2026Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks
Ciftci, Okan; Tomsovic, Kevin; Ozkan, Gokhan
Distribution systems, particularly in densely loaded urban areas, frequently experience transformer overloading during peak consumption hours. Rather than resorting to costly infrastructure reinforcement or complex Flexible AC Transmission Systems (FACTS), this paper proposes a cost-effective optimization and control approach utilizing a Continuously Variable Series Reactor (CVSR). Unlike FACTS devices that rely on expensive power electronics, the CVSR capitalizes on magnetic core saturation to regulate reactance, offering a robust solution at a fraction of the cost (~$10/kVAr). The CVSR regulates the reactance on the primary side of the transformer via magnetic core saturation to control power distribution among transformers. In this study, the steady-state framework of the CVSR is derived and integrated into power flow formulations. The proposed model is validated using a two-parallel transformer system and tested on the heavily meshed IEEE 342-Node Low Voltage Networked Test System (LVNTS). Simulation results demonstrate the CVSR effectively relieves transformer overloading by redistributing power flow, thereby enhancing system flexibility and allowing utilities to avoid or defer extensive grid upgrades.
- MakaleAçık Erişim2026The Triple Relationship between Biofuel Production, Carbon Emissions and Economic Growth in Türkiye Using Time Series Analysis: A policy proposal based on algae in biofuel production
Akar, Bülent; Akar, Sonay
Purpose: Study aims to determine the causality relationship between production of biofuel, carbon emissions and economic growth between 2005 and 2022 in Türkiye. Findings: The findings show that there is a unidirectional causality relationship from biofuel production to carbon emissions in Turkey. Meanwhile, GDP was not found to be associated with any variable. Limitations: Access to regular and uninterrupted data on biofuel production in Turkey covers the period between 2005 and 2022. Therefore, this period was selected as the start and end years of the research, and the frequency range of the research was limited to 18 years. Originality/Value: Minimising the negative environmental impacts of production is becoming increasingly important. Because the decline in global reserves of fossil fuels and the greenhouse gas emissions indicate that is unsustainable of dependence on these energy sources. Consequently, it is coming to the agenda biofuels which are both renewable and carbon neutral among alternative energy sources. Biofuels based on plant oil, hydrogen, bioethanol or biodiesel can provide an improvement against fossil carbon emissions compared to fossil fuels such as petrol. Furthermore, the compatibility of biofuels with existing engine technology has increased interest in these resources both in scientific circles and in industrial investment areas. Study, the biofuels which are of economic and ecological importance considered to make a unique contribution to the field as a current study examining the interaction between carbon emissions and economic growth.
- MakaleAçık Erişim2026Electricity Prices, Technology, Productivity, And Environmental Degradation: Implications For Financial Stability
Çakir, Mehmet Ali; Ökte, Mehmet Kutlughan Savas
The limited availability of fossil fuels and the financial pressure they create for countries that do not have the resources have led countries to search for new energy sources. In particular, renewable energy sources and therefore electrical energy obtained from these sources have been proposed in the literature as an alternative to fossil fuels. Thus, this study investigates the impact of electricity prices on financial stability in European Union countries from 2010 to 2021 using Driscoll Kraay fixed effects estimation. Financial stability is measured using the bank z-score, while productivity-intensive technology, environmental quality, and economic growth are included as control variables. The findings indicate that an increase in electricity prices negatively affects the bank z-score. In contrast, productivity-intensive technology positively impacts the bank z-score. Similarly, environmental quality contributes to an increase in the bank z-score. Additionally, economic growth enhances financial stability. Considering that rising electricity prices negatively affect financial stability, policymakers should encourage companies to produce electricity from renewable sources, such as solar panels or wind turbines. This can be supported through incentives such as tax breaks or low-cost financing for firms investing in on-site renewable energy systems. In this way, electricity price fluctuations will have less impact on companies and, in turn, help protect financial stability.
- MakaleAçık Erişim2026Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies
Oguz, Enes Cengiz; Gyasi, Evans Akwasi; Pala, Fahrettin; Pilatin, Abdulmuttalip; Barut, Abdulkadir
The study sheds light on the subtle interactions among financial development, foreign direct investment (FDI), and the quality of regulatory frameworks, with particular reference to their deep influence on renewable energy use and carbon emissions across 22 developed countries from 2002-2021. The results show an interesting tendency: Financial development and FDI will reduce reliance on renewable energy, whereas a significant increase in GDP per capita will increase reliance. Secondly, carbon emissions have a negative association with the adoption of renewable energy and financial development, though both reduce environmental quality; there is a positive relation between real gross domestic product (GDP) and energy depletion in terms of these toxic emissions. The significant role of regulatory quality as a moderator in this process is particularly striking. There is a direct correlation between financial stability and more robust regulation, resulting in reduced financial liquidity available for investing in renewable projects and restricting the free flow of clean FDI. Crucially, the paper argues that when combined with strong regulation, FDI is more likely to contribute to reductions in emissions, while FYGD, nevertheless regulated at a high level of quality, should raise emissions. Winding up, the result indicates that neither financial depth nor institutional quality, in isolation, is sufficient to deliver significant environmental improvement. Thus, it is urgent to adopt sound green finance policies and to formulate focused regulatory systems that integrate financial development and foreign direct investment with a broader sustainability agenda.
- MakaleYalnız künye2026Effects of dual and single spark plug configurations on energy, exergy, and exhaust emissions in a spark ignition engine
Altın, İsmail; Bayraktar, Hakan; Sezer, İsmet
Effects of dual spark plug (DSP) operation in a spark ignition (SI) engine on energy, exergy, and exhaust emissions are numerically investigated in this study. A quasi–dimensional SI engine cycle model is used for the analyses. The practical correlations with no assume the fluid dynamics are occupied for the simulation of intake and exhaust periods and the turbulent flame propagation analogy is assigned for the modeling of combustion. The second law of thermodynamics is added to the cycle model to execute the exergy analysis. The thermodynamic parameters such as in–cylinder pressure and temperature, ignition delay, and burn duration with the engine performance parameters are evaluated in the energy analysis. The exergies transferred via heat, work, and exhaust gases, besides destroyed exergy, fuel chemical exergy, thermomechanical exergy and total exergy are compiled for the exergy analysis. The carbon monoxide (CO), nitrogen oxide (NO), and carbon dioxide (CO2) emissions are defined for emission performance analysis. The results show that DSP operation affects moderately energy, exergy, and exhaust emissions. The best results were obtained at dimensionless spark plug location (ratio of spark plug location radius to cylinder radius–Xsp) of 0.2 for DSP compared to centrally located single spark plug (SSP).
- MakaleAçık Erişim2026Thermal Energy Storage Performance of EPCM-Impregnated Moss Biomass Placed in OKAL Chipboard for Use in Building Envelopes and Interior Space Separation
Can, Ahmet; Erata, Hüseyin; Gencel, Osman; Erol, Tuğçenur Bayraktar; Sarı, Ahmet; Batan, Nevzat
This study develops an innovative thermal energy storage approach for lightweight building systems by using eutectic phase change material (EPCM)-impregnated moss biomass (Cp/EPCM) in the internal voids of OKAL chipboard (OKS-Cp/EPCM). A high latent heat storage (LHS) capacity of 121.4 J/g was achieved with a 72% EPCM loading. Furthermore, the thermal conductivity of the OKS-Cp/EPCM decreased from 0.15074 W/m·K to 0.109 W/m·K. Thermal imaging results showed that the OKS-Cp/EPCM improved thermal comfort by reducing the surface temperature by approximately 10.5 °C in hot environments and providing an approximately 1 °C higher surface temperature in cold environments. However, TGA analyses revealed that the thermal resistance of the composite was limited. Relative humidity results also indicated that Cp/EPCM positively contributed to the moisture regulation performance of the board. Based on these results, OKS-Cp/EPCM offers a promising solution for the development of energy-efficient and thermally comfortable lightweight building elements.
- MakaleYalnız künye2026Energy-based wind vibration control of turbines equipped with nonlinear tuned mass damper inerter considering soil-structure interaction
Alibabaei Shahraki, Mohammad; Araz, Onur
This study evaluates the effectiveness of a Nonlinear Tuned Mass Damper Inerter (NTMDI) in mitigating wind-induced vibrations in wind turbines, with explicit consideration of soil–structure interaction (SSI). Kinetic energy is selected as the primary response metric, supported by nacelle displacement, total structural energy, soil energy absorption, acceleration reduction, and residual soil energy to provide a comprehensive assessment. A detailed numerical model is developed in OpenSees, incorporating SSI effects and subjected to turbulent wind loads generated using the Shinozuka method. NTMDI parameters are optimized using the Multi-Objective Cuckoo Search Algorithm (MOCS) to balance kinetic-energy minimization, displacement suppression, and soil-energy management. The results show that NTMDI implementation achieves approximately 45% reduction in total kinetic energy, 20% reduction in nacelle displacement, and 25% reduction in tower acceleration relative to the uncontrolled system. When SSI is considered, the NTMDI further improves performance by reducing soil energy demand by an additional 15–20%, highlighting the importance of absorber–soil coupling. Compared with traditional TMDIs, the NTMDI exhibits superior adaptability and efficiency, particularly for flexible foundations. These findings confirm NTMDIs as an effective passive control strategy for enhancing wind-turbine stability.
- MakaleAçık Erişim2026Enhanced Sensorless Current Control in Boost Converters for EV Fast Charging: Equilibrium Optimization-Tuned Cascaded ANN-Fuzzy Logic Control
Altan, Aytac; Yanarates, Cagfer; Alzaidi, Mohammed S.
Efficient current control in boost converters is critical for electric vehicle (EV) battery charging applications, where dynamic operating conditions challenge conventional control strategies. This paper presents a novel cascaded artificial neural network (ANN) and fuzzy logic (ANFIS) controller designed to enhance current regulation in boost converters. The performance of the proposed approach is validated through comparison with single PI, cascaded PI, and single ANFIS control schemes. To improve system performance, a sensorless current estimation technique is implemented, reducing hardware dependency and enhancing robustness, while lowering system cost. Experimental evaluations demonstrate that the proposed cascaded ANFIS controller maintains consistent current levels under rapid load changes, providing improved transient response and steady-state accuracy. Specifically, the proposed method achieves a settling time of 23 ms, compared to 185 ms for single PI and 66 ms for single ANFIS control, corresponding to an 87.6% improvement over PI. In addition, overshoot is reduced from 37.25% (PI) and approximately 20% (ANFIS) to negligible levels, while a fast rise time of 3.62 ms is obtained. These improvements reduce current deviation and transient stress, contributing to more stable and reliable charging operation. Although charging time, efficiency, and battery lifetime are not directly measured, the results indicate strong potential for improved practical charging performance. The proposed approach provides valuable insights into the integration of intelligent control methods in power electronics and supports the development of high-performance EV charging systems.
- MakaleYalnız künye2026Improving the hydrothermal reduced graphene oxide supercapacitor with heat-moisture-treated potato starch as binder
Daulay, Amru; Yassaroh, Yassaroh; Samada, Lukmanul Hakim; Amrulloh, M. Hanif; Kumaş, Cavit; Nariswari, Mentari Kirana; Putri, Devi Mariska; Chambioso, Yugo
Alternative binders that can be processed in water are still in the early stages of development for more efficient and sustainable supercapacitors. However, their electrochemical performance is still below average. This study uses heat-moisture-treated starch (starch HMT) as a binder for reduced graphene oxide (rGO) supercapacitors. Starch HMT has been fabricated at 120 °C. The XRD diffractogram exhibits peaks at 2θ angles of 15°, 17°, 22°, and 24°. The 2θ values indicate that potato starch is of type B. FTIR spectra show the formation of OH, C–O–C, C-O, C–O–C, and C-H bonds. SEM images show cracks in the morphology. Electrochemical testing shows a specific capacity of 230 F/g at a current density of 1 A/g. The charge–discharge stability of the electrodes at 5000 cycles is 90%. These results offer a framework for developing electrode materials and binders for supercapacitors.
- Kitap BölümüYalnız künye2026Catalytic Nanocomposites in Oxidative on Adsorptive Delsulfurization Process: A Comprehensive Review
Altuner, Elif Esra; Bozbeyoglu, Pinar; Özkan, Vildan; Ozkan, Abdullah
Humanity's need for energy is an undeniable fact, and this reality is increasing day by day. To meet its growing energy needs, humanity has turned to fossil fuels. Fossil fuels are fuels derived from animal and plant fossils formed over millions of years. However, the excessive use of fossil fuels for energy needs has created a dangerous situation that threatens to deplete fossil fuel reserves. Furthermore, the burning of fossil fuels releases toxic emissions. These emissions cause serious health problems for living organisms and also harm the ecosystem. These gases include sulfate (SO2) and sulfur derivatives, carbon dioxide (CO2), carbon monoxide, and nitrogen oxide derivatives (NOx). This chapter focuses on catalytic techniques using nanocomposite materials for the removal of SO2 and sulfur derivatives, with detailed references to relevant sources. SO2 and sulfur gases are harmful gases released by the combustion of fossil fuels. Nanocomposite production methods include sol- gel formation, gel shaping, chemical vapor deposition (CVD), and physical vapor deposition (PVD), layered production, electrospinning, mechanical and ultrasonic techniques, additive manufacturing, and melting mixture. Desulfurization processes using these methods are as follows: (i) oxidative desulfurization, photocatalytic desulfurization, and absorptive- catalytic desulfurization. All techniques are explained with references to the relevant sources. This chapter provides theoretically important information for researchers working on nanotechnological catalytic studies in desulfurization.
- MakaleAçık Erişim2026Multi-criteria techno-economic evaluation of electric buses with vehicle-integrated photovoltaic for enhanced sustainability
Başoğlu, Mustafa Engin
This study presents a multi-criteria techno-economic evaluation of electric buses (e-buses) equipped with vehicle-integrated photovoltaics (VIPV) to support the global transition toward zero-emission transportation. Aligned with international climate goals like the Paris Agreement and the European Union's 2050 carbon neutrality target, the research assesses ten 12-meter and 18-meter commercial e-bus models from various manufacturers. A computationally efficient methodology is employed, utilizing PVGIS-derived global horizontal irradiation (GHI) data specifically for Gümüşhane, Türkiye. The evaluation framework simultaneously analyzes several critical indicators: PV-based range extension, CO2 emission reduction, grid-connected charging frequency, battery depth of discharge (DoD), and payback period (PP). Findings from the baseline scenario—assuming 50% usable roof area and 22% module efficiency—reveal that e-buses can achieve a daily PV range of up to 19.16 km and annual CO2 emission savings ranging from 1709 to 2596 kg. Additionally, VIPV integration effectively mitigates battery aging by providing a peak DoD reduction of 6.91% and decreases grid-charging dependency by up to 5% during high-irradiance months. In an optimistic scenario featuring 80% usable roof area and 30.1% efficiency, the daily PV range reaches a maximum of 46 km, while the reduction in grid-charging frequency improves significantly to 21.16%. Economic assessments, including Net Present Value (NPV) analysis, confirm the investment's viability, with PPs as short as 3.76 years. This research provides a comprehensive, scalable framework and practical guidance for municipalities and fleet operators to enhance the sustainability of public transport (PT) through solar energy integration.
- Kitap BölümüYalnız künye2026Bio-based and Biodegradable Nanocomposites for Clean Energy Applications
Bozbeyoglu, Pinar; Altuner, Elif Esra
The growing global demand for energy and the environmental concerns associated with fossil fuels have accelerated the search for sustainable alternatives. Bio-based and biodegradable nanocomposites represent a new generation of materials that combine ecological compatibility with superior mechanical, thermal, and electrical properties. This chapter provides a comprehensive overview of bio-based polymer matrices (such as PLA, PHA, PBS, PEF, PVA, and natural polymers like cellulose, chitosan, and lignin) and their integration with nanofillers, including graphene, carbon nanotubes, TiO2, ZnO, and nanoclay. The synergistic effects of these hybrid structures are discussed in the context of clean energy technologies, such as solar cells, fuel cells, batteries, supercapacitors, and piezoelectric nanogenerators. In addition, the chapter highlights green synthesis routes, characterization methods, life cycle assessment (LCA), and industrial perspectives, emphasizing how nanocomposite design bridges performance enhancement with environmental sustainability.
- Kitap BölümüYalnız künye2026Artificial Intelligence Nanocomposite Synergy for Next-Generation Fuel Desulfurization
Kostas, Rabia Yasa; Bozbeyoglu, Pinar; Altuner, Elif Esra; Elmas, Muzaffer
Fuel desulfurization is crucial due to the harmful effects of acid rain, air pollution, and health issues associated with sulfur compounds from fossil fuel combustion. Stricter international regulations require reducing sulfur content in fuels to ultra- low levels (<15 ppm), which current hydrodesulfurization (HDS) technology struggles to achieve due to high energy costs and inefficiencies with refractory aromatic sulfur compounds, such as dibenzothiophene (DBT). This gap in technology is driving the development of new solutions. This study explores the integration of materials science, chemical engineering, and artificial intelligence (AI) to meet ultra- low sulfur targets. It highlights alternative strategies, such as adsorptive (ADS) and oxidative (ODS) desulfurization, using advanced nanocomposite materials, including MetalOrganic Frameworks (MOFs), graphene hybrids, and zeolites. These innovative materials focus on “precision targeting” and “molecular recognition,” offering greater efficiency under milder conditions compared to traditional HDS methods AI and computational science are crucial for identifying the most suitable materials among a vast array of candidates. Combining Density Functional Theory (DFT) with Machine Learning (ML) accelerates material discovery by transitioning from a trial- and- error approach to an “inverse design” method. Successful AI tools, including Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs), have been proven effective in optimising desulfurization processes through real- world examples. In summary, achieving cleaner fuels requires innovative materials guided by AI. The study also addresses the challenges of scaling this interdisciplinary approach and envisions the potential for transforming desulfurization from a cost centre into a profit centre through precise molecular separation.
- MakaleAçık Erişim2026Energy Consumption in the EU: The Role of Productivity and Efficiency-Driven Technology; [AB’de Enerji Tüketimi: Üretkenlik ve Verimlilik Odaklı Teknolojinin Rolü]
Çakır, Mehmet Ali; Ökte, Mehmet Kutluğhan Savaş
This study investigates how productivity and productivity-intensive technologies affect energy consumption in selected EU countries from 1996 to 2021. Despite technological progress, fossil fuels still dominate, posing environmental and economic concerns. Using the AMG method, results show that multifactor productivity significantly reduces energy use, while productivity-intensive technologies offer smaller but meaningful reductions. In contrast to prior research linking technology to higher energy demand, this study highlights the importance of efficiency-focused innovation. Findings support the EU’s 2030 energy reduction target and suggest policymakers should prioritise productivity-intensive technologies, on-the-job training, and digital tools to decouple growth from energy consumption.
- MakaleAçık Erişim2026Towards Greening the BRICS: Uncovering the Impact of Green Energy, Green Technology and Forest Cover on Environmental Quality
Henni, Mohamed Djafar; Ayaydın, Hasan; Akbulut Yıldız, Gizem; Orhan, Abdullah; Pilatin, Abdulmuttalip; Abdelkader, Salim Bourchid
The BRICS economies, facing the threat of climate change, face a policy challenge in transitioning from fossil-fuel-based energy systems and improving environmental quality. This necessitates urgent policy changes in the outdated energy infrastructure of BRICS countries. However, there still remains a policy gap regarding how countries in the BRICS, a group of rapidly developing economies, can grow their economies in line with the Sustainable Development Goals. The aim of our study is to investigate the impact of green energy, green technology, and forest cover on environmental quality in BRICS countries. The BRICS group of countries offers an ideal field of study for both examining the impacts of green energy, green technology, and forest areas on environmental quality in developing economies, as well as for evaluating national and global energy policies. Although numerous studies have empirically examined the relationship between environmental variables and green initiatives, the impact of green initiatives on the load capacity factor has been overlooked. These studies have generally used various econometric methods and have not included machine learning in the process. This study addresses this research gap by focusing on green energy and green technology, which are preferred for their various advantages and make significant contributions to the load capacity factor. To analyze this relationship in BRICS economies between 2000 and 2022, the Augmented Mean Group (AMG) estimator and Machine Learning algorithms were used. According to the results, strong evidence emerges of a positive relationship between green energy, the digital economy, forested area, and the load capacity factor, while a negative relationship exists between green technology, growth, and the load capacity factor. Based on robust empirical findings, renewable energy sources are a key driver of clean energy adoption and can ultimately increase the load capacity factor in BRICS economies. The results also imply that, since developments in green technological innovation in BRICS countries are still in their infancy, investments in green technologies for a sustainable environment need to be qualitatively increased.
- MakaleAçık Erişim2026Semi-experimental approach for hydrogen storage of as-produced zeolitic imidazolate framework-8 without post-processing
Öztürk, Banu; Asan, Abdurrahman; Köse, Dursun Ali; Kalkişim, Ahmet Tahir; Öztürk, Zeynel
Low-cost hydrogen storage systems are essential for the widespread use of hydrogen, particularly in mobile platforms such as unmanned aerial vehicles, to increase their range. Hydrogen storage in metal–organic frameworks (MOFs), which offer high capacity through adsorption, is crucial to achieving this goal. This study investigates the hydrogen storage capacity of zeolitic imidazolate framework-8 (ZIF-8), produced via reactive extrusion, which allows for high production capacity and low-cost manufacturing of MOFs. Furthermore, particular attention was given to the storage capacity of ZIF-8 in its as-produced form. An atomistic model of the as-produced ZIF-8, including impurities selected from a series of simulated models containing different amounts of impurity, was developed. The validity of the selected structure was then verified through experimental powder X-ray diffraction and Brunauer–Emmett–Teller (BET) surface area measurements. Subsequently, hydrogen adsorption capacities for varying pressures and temperatures were calculated. The hydrogen adsorption simulations indicated that the atomistic model of the as-produced ZIF-8 exhibited a hydrogen storage capacity of 1.76 wt.% at 77 K and 1 bar, corresponding to a BET surface area of 516 m2/g. In comparison, the experimentally synthesized as-produced ZIF-8 showed a capacity of 1.145 wt.% under the same conditions, with a BET surface area of 520 m2/g. The study demonstrates that the gas storage performance of experimentally produced structures, even without further purification, can be accurately determined through simulation models in this semi-experimental study.
- MakaleAçık Erişim2026Critical Success Factors for Building Resilience in Circular Supply Chains of Electric Vehicle Batteries: Evidence from an Emerging Country
Erol, Ismail; Oztel, Ahmet; Peker, Iskender; Ar, Ilker Murat; Searcy, Cory
Given the global expansion of electric vehicles (EVs), decision makers in developing and emerging countries must address important challenges across EV battery supply chains (EVBSCs) toward circularity. For example, batteries usually make up about 40% of an EVs’ value, and the race to achieve net zero emissions will further underscore the critical need for vital minerals and metals, such as lithium, cobalt, and graphite, necessary to make batteries. Stakeholders routinely question the resilience of circular (C) EVBSCs worldwide, from mining valuable materials to manufacturing the batteries necessary to support the widespread deployment of EVs. Identifying and investigating critical success factors (CSFs) of any system is a necessary step in achieving its targets. Little research, however, has been performed to investigate the CSFs for building resilience in EVBSCs, particularly those focused on building a circular supply chain. The goal of this research is, therefore, to systematically scrutinize the CSFs of resilient C-EVBSCs in Türkiye. To this end, a decision framework applying inter-valued neutrosophic ISM-MICMAC is proposed. Based on expert opinions, an application of the decision framework finds that effective government policies, directives, and incentives and well-established dynamic capabilities, are key driving CSFs to building resilience in a C-EVBSC.
- MakaleYayıncıda açık erişim2026Measurement-aware zero-phase iterative learning control for robust regulation of nonideal boost converters in electric vehicle fast charging
Altan, Aytaç; Alzaidi, Mohammed S.; Yanarateş, Cağfer
Integrating battery energy storage with DC-DC boost converters for electric vehicle fast charging exposes the regulator to ageing-induced parameter drift, periodic load pulses, and, critically, the nonidealities in the output-voltage sensing chain. This paper proposes a measurement-aware, zero-phase iterative learning control scheme for robust output-voltage regulation of a nonideal boost converter whose parameters are matched to those of a commercial Texas Instruments TPS6102x battery regulator. The controller combines an inner proportional-integral stabilizing loop with an outer zero-phase learning law that updates a feedforward correction based on the sensor-captured output trajectory; a forward-backward robustness filter suppresses the amplification of measurement noise and quantization across successive trials without introducing phase lag. The averaged small-signal model is validated against a 960 kHz switched simulation, with agreement within 0.2% at the operating point and a transient-waveform correlation of 0.91, while the bandwidth limitations imposed by the lightly damped resonance and the nonminimum-phase dynamics on feedback are quantified from the loop frequency response. Because feedback alone is bandwidth-limited, the learning feedforward recovers the intrinsic converter speed for the repetitive task and reduces the periodic tracking error by more than an order of magnitude relative to a fairly tuned baseline. A bounded-error convergence theorem shows that, under real sensing, the tracking error converges to a neighbourhood whose size is proportional to the measurement-disturbance level; this is confirmed numerically, with the asymptotic error scaling approximately linearly with the noise standard deviation once the noise dominates the filter bias. Systematic sweeps of converter resolution, noise, and sensor delay show that the zero-phase measurement-aware law remains bounded where a naive learning law diverges, and a 500-sample Monte Carlo study confirms robustness to component tolerances, load variation, and parasitic aging. The primary physical task is the rejection of a repeating high-current charging pulse: over successive charging cycles the scheme reduces the periodic output-voltage sag from 35% to below 0.01%, whereas the best feedback comparator leaves a 17% residual, and the sinusoidal reference used elsewhere serves as a spectral diagnostic that isolates the feedback-bandwidth ceiling at a single known frequency. The learning law is further verified in closed loop on the cycle-by-cycle switched large-signal converter, where it converges and stays bounded. A per-unit scale-invariance analysis then establishes the conditions under which the design obtained on the low-power benchmark transfers to fast-charging power levels, as confirmed on a 400 V, 6.1 kW stage that reproduces the benchmark convergence exactly.
- Kitap BölümüYalnız künye2026Green-Synthesized Nanocomposites for Sustainable Fuel Desulfurization: Advances and Challenges
Ozkan, Abdullah; Ozkan, Vildan; Bozbeyoglu, Pinar; Altuner, Elif Esra
The mounting global demand for energy signifies that we must depend on fossil fuels, which engenders environmental degradation and precipitates the emission of substantial quantities of sulfur oxides (SOx). Protecting themselves from environmental pollution is a top priority for many countries. Proper removal of sulfur- containing compounds from fossil fuels is becoming a major focus. Fuels such as diesel, fuel oil, and gasoline are particularly important in this regard. Fuels such as diesel, fuel oil, and gasoline are particularly important in this regard. The numerous negative consequences of traditional hydrodesulfurization (HDS) methods are what researchers focus on, and these methods are limited. Some examples of these negative effects include higher costs, the use of too much pressure and temperature, and using too much hydrogen. Scientific studies show that biosourced nanocomposite materials are good for desulfurization methods because they can reduce the potential negative consequences. Using raw materials such as microorganisms, biopolymers, and plant extracts is one of the most important ways to increase energy efficiency and eliminate chemical emissions. The large surface areas, enhanced active site homogeneity, and diverse functional groups of nanocomposite materials obtained from such biosourced raw materials make them promising candidates for use in adsorptive and oxidative desulfurization processes. Metal- metal oxide (Fe, Ni, Cu, TiO2) and carbon- based (graphene, carbon nanotube, and biochar- supported) nanocomposites are particularly preferred for achieving high sulfur removal with low energy consumption. The provision of information on the production methods, chemical properties, sulfur removal methods, and recent scientific research on biosourced nanocomposites is the purpose of this section. In addition, the environmental benefits, economic benefits, and potential roles of biosourced materials in alternative energy systems are discussed.
- MakaleYalnız künye2026Variable-speed retrofit of a legacy slurry pumping duty: Measured energy reduction with proxy-based operability assessment
Külekçi, Gökhan; Aygün, Muhammet; Göller, Zafer; Yildiz, Onur
Legacy ore beneficiation plants often operate slurry pumps at fixed speed despite variable sump inflow and slurry conditions, which can increase electricity demand and complicate level control. This study evaluates a variable-speed retrofit in which a variable frequency drive was integrated with level feedback and proportional-integral control for a legacy slurry pumping duty. Measured average operating power decreased from 25.6 kW before retrofit to 11.6 kW after implementation, documenting a substantial reduction in electrical demand under the observed operating regime. Because hydraulic-duty data were unavailable for both periods, this result is not presented as a duty-normalised specific-energy reduction. Process interpretation was supported by a bounded proxy framework based on a flowsheet-consistent solids band over 177 days. The proxy analysis linked solids variability to derived slurry density behaviour and operability implications. Overall, the study documents measured electrical-demand reduction and provides a framework for discussing retrofit performance where plant instrumentation is limited.
