Yazarlar
- Kankal, Murat(17)
- Şan, Murat(17)
- Akinoglu, Bulent G.(14)
- Ozden, Talat(14)
- Nacar, Sinan(10)
- Barut, Abdulkadir(9)
- Akpinar, Adem(6)
- Akyol, Mehmet(6)
- Akçay, Fatma(6)
- Cakir, Mehmet Ali(6)
- Pilatin, Abdulmuttalip(6)
- Sezer, İsmet(6)
- Terhan, Meryem(6)
- Özden, Talat(6)
- Işık, Fatih(5)
- Kömürcü, Murat Ihsan(5)
- Pala, Fahrettin(5)
- Turan, Rasit(5)
- Akyol, Hikmet(4)
- Artan, Seyfettin(4)
- Hayaloğlu, Pınar(4)
- Peker, Iskender(4)
- Sezer, Ismet(4)
- Özbek, Adem(4)
- Adali, Zafer(3)
- Akpinar, A.(3)
- Akpinar, Muhammet Vefa(3)
- Altuner, Elif Esra(3)
- Ayaydın, Hasan(3)
- Başoğlu, Mustafa Engin(3)
- Bilgic, Abdulbaki(3)
- Bozbeyoglu, Pinar(3)
- Coruh, Emine(3)
- Eraslan, Selim(3)
- Erol, Ismail(3)
- Kaygusuz, Abdullah(3)
- Kaygusuz, Kamil(3)
- Mete, Emrullah(3)
- Nizetic, S(3)
- Okkan, Umut(3)
Yayınlar
- MakaleAçık Erişim2024Kentleşme, Enerji Tüketimi, Ekonomik Büyüme ve Dış Ticaret Açığının Türkiye’de Ekolojik Ayak İzi Üzerine Etkisi
Kekül, Okan
Küresel ısınma, iklim değişikliği, karbon salınımı vb. çevresel sorunlara ek olarak ekolojik ayak izine yönelik gerçekleştirilen bilimsel çalışmalar son yıllarda ivme kazanmıştır. Türkiye’ye ait verilerin kullanıldığı bu çalışmada, 1980 – 2021 dönemi esas alınmış ve ekolojik ayak izi üzerinde kentleşme, ekonomik büyüme, dış ticaret açığı ile enerji tüketiminin etkilerinin ortaya konulması amaçlanmıştır. A-ARDL sınır testi yaklaşımının benimsendiği araştırmada ilk olarak eş bütünleşmenin varlığı ortaya konulmuştur. Analizin bulgularına bakıldığında, ekonomik büyümenin ve enerji tüketiminin hem uzun hem de kısa dönemde çevreyi olumsuz etkilediği sonucuna ulaşılmıştır. Modele yönelik hata terimleri katsayısı elde edilmiş ve bu katsayı ile gerçekleşen hesaplamalarda kısa dönemde oluşabilecek sapmaların yaklaşık %80’lik bir bölümü sonraki dönemde düzeleceği tespit edilmiştir. Bu çalışmaya ait sonuçların çevre politikaları ve stratejilerine katkı sağlayabileceği düşünülmektedir.
- MakaleAçık Erişim2024Assessment of Greenhouse Gases Emissions from Dam Reservoirs: the Case of Tuzluca Dam
Akgün, Çağrı; Nas, Salim Serkan
It is a known fact that large dam projects built to serve important purposes such as electricity generation, irrigation drinking water supply, and flood control cause greenhouse gases emissions due to the areas they flood. In this study, the greenhouse gases emission impacts of the Tuzluca Dam and Hydroelectric Power Plant (HPP) project, planned to be constructed in the Iğdır province of Turkey, were evaluated. Analyses conducted using the G-res tool, developed by the United Nations Educational, Scientific and Cultural Organization (UNESCO) and the International Hydropower Association (IHA), estimated that the Tuzluca Dam and HPP project will emit 2,228 tCO2e of greenhouse gases annually once the dam begins to hold water. In accordance with the guidelines of the Intergovernmental Panel on Climate Change (IPCC), it is predicted that when emissions occurring before the dam and during its construction are included, the net greenhouse gases emissions of the project will be -902 gCO2e per square meter annually. The results obtained from this study were found to be consistent with similar studies in the literature.
- MakaleYalnız künye2024Innovative Polygonal Trend Analysis (IPTA) in detecting the seasonal trend behavior of statistically downscaled precipitation for the Eastern Black Sea Basin of Turkey
Nacar, Sinan; Şan, Murat; Kankal, Murat; Okkan, Umut
This study compares projected and past seasonal precipitation trends in the Eastern Black Sea Basin, Turkey. Historical data from twelve stations representing the basin during 1981–2010 was used, while statistically downscaled data from two representative concentration pathway scenarios (RCP4.5 and RCP8.5) outputs of the GFDL-ESM2M general circulation model were utilized for 2021–2050. To determine the seasonal trend behaviors of precipitation variables and transitions between consecutive months, the Innovative Polygon Trend Analysis (IPTA) was implemented. Furthermore, the star concept was employed to illustrate the changing sizes between consecutive periods. Both scenarios showed considerable summer and autumn declines at almost all locations, with low seasonal precipitation variability. These scenarios indicated January to be the important month for trend shift, except for Rize, Pazar, and Hopa stations. The formation of several polygons, polygons intersecting, and polygons not forming on the global regression line show that the hydro-climatic cycle might be chaotic.
- MakaleAçık Erişim2024A different look at the environmental Kuznets curve from the perspective of environmental deterioration and economic policy uncertainty: evidence from fragile countries
Anwar, Ahsan; Barut, Abdulkadir; Pala, Fahrettin; Kilinc-Ata, Nurcan; Kaya, Emine; Lien, Duong Thi Quynh
Environmental degradation is one of the most significant issues that developing nations confront and needs to be resolved right away in order for them to achieve sustainable development. Government policies are crucial in this situation since emerging nations frequently struggle with the issue of policy ambiguity, which can result in environmental deterioration. In this context, this study investigates how policy uncertainty affects environmental degradation in the five fragile emerging economies known as the Fragile Five—Brazil, India, Indonesia, South Africa, and Turkey. Using data from 1996 to 2019, we estimate a Panel Quantile Regression analysis. The empirical findings indicate that economic policy uncertainty and technology innovation increases the environmental degradation whereas environmental degradation is slowed down by financial development and renewable energy consumption. Empirical evidence also confirms the presence of EKC hypothesis in fragile economies. Based on the findings, we suggest both a policy and an environmental framework for achieving sustainable development in fragile economies. Graphical Abstract: (Figure presented.)
- MakaleAçık Erişim2024Promoting sustainability in developing Countries: A Machine Learning-based approach to understanding the relationship between green investment and environmental degradation
Ahmad Khan, Khatib; Khalid Anser, Muhammad; Pala, Fahrettin; Barut, Abdulkadir; Wasif Zafar, Muhammad
The main objective of this study is to examine the impact of green investment on environmental degradation in developing countries using machine learning-based estimation combined with robustness tests of static and dynamic panel data modeling techniques. The scope of this study covers 30 developing countries for 2009–2019. This study introduces a new index of environmental degradation that uses the entropy method and includes green gas emissions and deforestation. The study addresses trade openness, the quadratic shape of economic growth, and urbanization in the context of the Environmental Kuznets Curve Hypothesis (EKC) and the Ecological Modernization Theory (EMT), in addition to green investment. This study considers the kernel-based regularized least squares (KRLS) approach, the static panel technique Driscoll & Kraay standards error method, and a dynamic panel technique system generalized moment techniques. The empirical findings from the machine learning method show that green investment significantly reduces environmental degradation with a higher coefficient resulting from the static fixed effect estimation. The study also reveals that the main hypotheses, such as EKC and EMT, are confirmed by all estimation techniques. Based on the results, the study recommends that policymakers take pragmatic steps toward green investments and increase the financing of green energy initiatives to combat environmental degradation.
- MakaleAçık Erişim2024Uncovering the determinants of bottom-up CO2 emissions among households in Türkiye: Analysis and policy recommendations
Coruh, Emine; Bilgic, Abdulbaki; Cengiz, Vedat; Urak, Faruk
Amid escalating global concerns surrounding climate change, the transportation sector has garnered the attention of stakeholders. Double-hurdle censored models were employed in this study to elucidate the relationship between the probability of private fuel expenditure and expenditure levels and household characteristics to determine the factors contributing to household-based CO2 emissions. Remarkably, nearly two-thirds of the 38 factors examined contributed to the emitters, and almost all emitters were identified as statistically significant. This alarming situation underscores the importance of formulating family based green transformation policies. If successful, these policies can ignite transformative momentum. Consequently, understanding household transportation expenditure from a bottom-up perspective can provide invaluable insights into crafting a comprehensive set of top-line policy recommendations for innovation and marketing strategies in the transport and energy sectors. Measures such as incentivizing the adoption of electric vehicles through economic incentives, expanding public transportation networks, and implementing sustainable housing policies have immense potential to effectively reduce private fuel expenditure. When implemented holistically, these strategies can pave the way for a more sustainable and environmentally friendly future.
- MakaleAçık Erişim2024Trends and amount changes of temperature and precipitation under future projections in high–low groups and intra-period for the Eastern Black Sea, the Wettest Basin in Türkiye
Nacar, Sinan; Şan, Murat; Kankal, Murat; Okkan, Umut
This study investigates the possible effects of climate change on temperature and precipitation variables in the Eastern Black Sea Basin, Türkiye’s wettest and flood-prone region. The outputs of three GCMs under historical, RCP4.5, and RCP8.5 scenarios were downscaled to regional scale using the multivariate adaptive regression splines method. The future monthly temperature and precipitation for 12 stations in the basin were projected for three periods: the 2030s (2021–2050), 2060s (2051–2080), and 2090s (2081–2100). In addition to relative changes, high and low groups and intra-period trends were analyzed for the first time using innovative methods. For the pessimistic scenario, an increase of 3.5 °C in the interior and 3.0 °C in the coastal areas of the basin is projected. For the optimistic scenario, these values are expected to be 2.5 and 2.0 °C, respectively. A decrease in precipitation is projected for the interior region, and a significant increase is expected for the eastern and coastal areas of the basin, especially in spring. This result indicates that floods will occur frequently coastal areas of the basin in the coming periods. Also, although the monotonic trends of temperatures during periods are higher than precipitation in interior regions, these regions may have more uncertainty as their trends are in different directions of low and high groups of different scenarios and GCMs and contribute to all trends, especially precipitation.
- MakaleAçık Erişim2024OUTDOOR DEGRADATION ANALYSES OF SIX DIFFERENT AGED PHOTOVOLTAIC MODULE TECHNOLOGIES UNDER THE ARID-STEPPE CLIMATE CONDITION
Cantürk, Zeynep; Özden, Talat; Akinoglu, Bulent G.
Outdoor tests of photovoltaics module are crucial both for marketing and for research and technological developments. The electric generation performance and their degradation rates and lifetime are also related to different climatic conditions of the regions. In this work, the outdoor tests are carried out for six different photovoltaic (PV) modules under Arid-steppe Climate condition of Ankara, Türkiye. Their degradation rates are calculated by using linear regression (LR) and year on year (YOY) methods. The comparison between LR and YOY are carried out and with the other performed studies of different regions of world. In addition, it is investigated that how effective the climatic conditions on daily degradation rates. The results obtained are as follows: Mono-Si and Hetero-junction Silicon (HIT) cell modules degradation rates of 0.71/1.56 %/year and 0.84 %/year are respectively obtained by LR method and 0.57/0.90 %/year and 0.85%/year are respectively by YOY method. The degradation rates for Cupper Indium Selenide (CIS), Cupper Indium Gallium Selenide (CIGS) and microcrystalline Silicon/Amorphous Silicon (µc-Si/a-Si) modules have 1.73/1.49 %/year, 11.55/9.52 %/year and 1.48 %/year for LR method and 1.28/1.12 %/year, 9.94/9.53 %/year and 0.99 %/year for YOY method are obtained respectively. It is also obtained for the Polycrystalline Silicon Modules as 1.20/1.86 %/year degradation rates by LR method and 0.79/1.88 %/year degradation rates by YOY method.
- MakaleAçık Erişim2024Effect of thickness and melting temperature of phase change material integrated into exterior wall on building energy performance and CO2 emission reduction; [Dış duvara entegre edilen faz değiştiren malzemenin kalınlığı ve erime sıcaklığının bina enerji performansı ve CO2 emisyon azalımına etkisi]
İlgar, Gamze; Terhan, Meryem
In the study, the effect of phase change materials integrated into the building's external wall has been investigated in terms of material type, thickness, and melting temperature of phase change material on the building energy performance for İzmir Province. A villa residential project has been modelled in 3D using DesignBuilder energy simulation software and two different external wall configurations have been designed by changing the position, thickness and melting temperature of the PCMs into the wall. The amount of CO2 emission reductions that PCMs will provide according to the fuel type of the building's heating system has been calculated. Using PCMs in the external wall not only provides high heating and cooling energy savings but also increases thermal comfort indoors by reducing temperature fluctuations. The PCM melting temperature of 23℃ performs quite well compared to other temperatures in both cooling energy and heating energy demand reduction. By increasing the triple thickness of the PCM, 18.81% in heating energy and 22.85% in cooling energy savings can be achieved. Depending on the external wall and phase change material types, different thicknesses and melting temperatures of PCM, annual total energy saving of the phase-change material is calculated between 10,349.50-83,345.98 kJ/m2.year and the annual CO2 emission reduction according to fuel types has been found as 0.672-14.284 kgCO2/m2.year.
- MakaleYalnız künye2024Waste Heat and Mass Recovery from Boiler Exhaust Gases in a New Generation District Heating System: Energy and Exergy Analysis
Terhan, Meryem
The study performs energy and exergy analyses for each component such as boilers, buildings, distribution networks and heat exchangers of a new generation district heating system. Energy and exergy efficiencies are compared for all system components, and energy and exergy losses are presented using Sankey and Grassman diagrams. Three flue gas condensers with finned bundles are designed for different capacities of boilers that intend to recover water and heat from the waste flue gas in the district heating system due to high flue gas energy losses. Colburn-Hougen and one-dimensional finite difference methods are used to design the flue gas condensers with the MATLAB program. The exergy analysis showed that the exergy input to the system is lost by 4.52% from the distribution networks, 4.15% from all buildings and 2.18% from the flue gas. In the system, the energy and exergy efficiencies of the boilers are calculated to be 87.23% and 17.32%, respectively, and the heat loss from the flue gas is found to be 12%. The design results show that the values of mass convection coefficient (km) for all flue gas condensers decrease from 0.0706 at the inlet condensation zone to 0.0354 towards the outlet. The total condensation rate and condensation efficiency are found to be 86 kg/h and 60%, respectively, for the 2500 kW boiler.
- MakaleAçık Erişim2024Exploring the enablers for building resilience in solar photovoltaic Energy supply chains
Erol, Ismail; Peker, Iskender; Benli, Tolga; Ar, Ilker Murat; Searcy, Cory
A solar photovoltaic energy supply chain (SPvESC) is a global network with several linkages, including mineral and metal mining, material processing, and module and panel manufacturing. Due to the wide range of uncertainties and the unfavorable environmental effects associated with current linear business models, this global network is vulnerable to disruptions. Strengthening the resilience of SPvESCs is crucial for addressing any disturbances. This requires identifying the key enablers of resilience in SPvESCs, an area that has been understudied in the existing literature. An enabler is an aspect that facilitates the achievement of a goal by another aspect. This research contributes to the existing literature by systematically investigating the enablers for SPvESCs to achieve resilience. Thus, the objective of this analysis is to identify enablers that have the potential to enhance the resilience of SPvESCs in Türkiye. This was done by applying the Nominal Group Technique (NGT) in conjunction with a review of the current literature. Neutrosophic (N)-DEMATEL was then utilized to determine the relationships between the identified enablers. Finally, the results were validated using N-DELPHI. The results revealed that sensing and seizing new business models, adaptability to changes in novel energy generation and information technologies, and business contingency plans for natural and man-made disasters were the most influential enablers. The findings provide implications for practitioners, policymakers, and researchers to help ensure improved resilience in SPvESCs.
- MakaleAçık Erişim2024Elevation-dependent growth trends of Picea orientalis (L.) Peterm forests in the Fırtına Creek Basin (Rize/Turkey)
Işık, Fatih; Bahadır, Muhammet; Zeybek, Halil İbrahim; Hatipoğlu, İlter Kutlu
Changes in climatic conditions have ecological and economic consequences or impact for trees and forest stands. In this respect, it is crucial to understand the radial growth trends of trees, their ecological response across elevation gradients, and the possible impacts of climate change on the species. In this study, Picea orientalis (L.) Peterm, located in the Fırtına Creek Basin in the northern part of the Eastern Black Sea Mountains in northeastern Turkey, was investigated along different elevation gradients in the context of climate-growth response. In the study, six site chronologies along an elevation gradient from 900 m to 2050 m were developed. Dendroclimatological methods were applied to assess the elevation-dependent radial growth characteristics of trees. In total, 200 increment cores were collected from 98 living trees. The relationships between climate and tree ring growth along the elevation gradient showed a positive relationship between growth and temperature at upper elevations (1700–1900 m) and a positive relationship between growth and precipitation at middle elevations (1400–1600 m). In particular, January–April mean temperatures and May rainfall were positively correlated with tree-ring growth. At lower elevations (900–1100 m), the correlation coefficients between climate and growth are insignificant because, at these altitudes, the species have optimum ecological conditions. It was also found that mean temperatures between 0 °C and 2 °C in January–April and total precipitation between 60 and 100 mm in January–February positively affect tree growth. However, if these thresholds are exceeded, it is possible that growth may be adversely affected. This research underscores the complex interplay between climate variables and tree growth along elevation gradients, highlighting the need for adaptive management strategies in the face of changing climatic conditions.
- MakaleAçık Erişim2024Economic Evaluation of Thermal and Mechanical Activation Energies in Plaster Production
Şener, Muhammed; Uysal, Turan; Erdemoğlu, Murat
Plaster is among the most needed raw materials in the world. In this study, thermal activation provided by calcination and mechanical activation methods provided by intensive milling in the plaster production process were evaluated in terms of activation energy. In this context, the energies of laboratory-scale thermal and mechanical activation processes were calculated and these activation methods were evaluated economically and the ideal activation methods were determined. Although the mechanical activation method creates additional investment and operating costs, it reduces the calcination temperature by 13 °C, thus provides lower energy costs. Addition of a mechanical activator mill before thermal activation in plaster production as a more economical and more environmentally friendly method was proposed.
- MakaleAçık Erişim2024Enhancing the performance of parabolic trough solar collectors: Cost-effective innovative designs for sustainable energy harvesting
Karaağaç, Mehmet Onur; Akıncı, Burak; Ergün, Alper
This study aims to improve the performance and stability of parabolic trough solar collectors (PTSC), especially those with heat storage capacity. Three different receiver tube designs have been meticulously developed to achieve this goal. As a result of the research, the Black surface (BS) -PTSC and PTSC- Paraffin wax (PW) systems achieved 26.5% and 56.8% more thermal energy flow, respectively, compared to the conventional PTSC. In addition, while the average thermal efficiencies of the PTSC, BS-PTSC, and PTSC-PW systems were found to be 11.2%, 14.1%, and 16.9%, respectively, the average exergy efficiencies of the PTSC, BS-PTSC, and PTSC-PW were 1.4%, 1.9%, and 2.3%. Painting the black copper pipe and filling the receiver tube with paraffin wax PCM increased thermal and exergy efficiency. Besides, comparing the temperature differences based on the PTSC system, it was found that BS-PTSC and PTSC-PW systems have 12.3% and 16.4% higher tank temperatures, respectively. The findings of this research have demonstrated the potential of parabolic trough solar collectors equipped with heat storage. It has also increased the sustainability index in terms of sustainability and reduced CO2 emissions into the atmosphere. Furthermore, it has been shown that these simple and inexpensive designs, without significant modifications to the system, can achieve high thermal performance without unnecessary expensive components.
- MakaleYalnız künye2024Spatiotemporal analysis of transition probabilities of wet and dry days under SSPs scenarios in the semi-arid Susurluk Basin, Türkiye
Şan, Murat; Nacar, Sinan; Kankal, Murat; Bayram, Adem
Precipitation, especially in regions dominated by the Mediterranean climate, is one of the most critical parameters of the hydrological cycle and the environment affected by climate change. One the one hand, the transition probabilities of wet and dry days in precipitation occurrence are a relatively new topic, on the other hand these are essential in defining the regional climate. For the first time, spatiotemporal variations of transition probabilities of wet and dry days in the Susurluk Basin, northwestern Türkiye, dominated by a semi-arid Mediterranean climate and also having a mountain climate, were analyzed based on the observation (1979–2014) and future terms (2030–2059 as short and 2070–2099 as long), under four Shared Socioeconomic Pathways (SSPs) scenarios. To do this, statistical downscaling was performed for 14 general circulation models (GCMs) from the CMIP6. By applying an ensemble of four high-performing GCMs, four indices for transition probabilities of wet and dry, i.e., a dry day following a dry day (FDD), a wet day following a dry day (FDW), a dry day following a wet day (FWD), and a wet day following a wet day (FWW), were calculated, and their changes were determined statistically. Monotonic and partial trends of the indices were also analyzed. According to the results, the FDD will increase in water year and wet period and autumn in the future, especially for the long term, in the basin dominated by the FDD (75 % in water year). The risks are higher in the western part of the basin, where human activities are intense, as the FDD is higher in this part than other parts especially in summer (90–100 %) in SSP3-7.0 and SSP5-8.5 scenarios for the long term. So, the length of consecutive dry days in the wet period and water year will increase in the basin, thus increasing the likelihood of droughts. As for the intra-term trends, the FDD increases and the FWW decreases in the water year and seasons in SSP3-7.0 and SSP5-8.5, contrary to the observation term.
- MakaleAçık Erişim2024A robust chaos-inspired artificial intelligence model for dealing with nonlinear dynamics in wind speed forecasting
Barış, Caner; Yanarateş, Cağfer; Altan, Aytaç
The global impacts of climate change have become increasingly pronounced in recent years due to the rise in greenhouse gas emissions from fossil fuels. This trend threatens water resources, ecological balance, and could lead to desertification and drought. To address these challenges, reducing fossil fuel consumption and embracing renewable energy sources is crucial. Among these, wind energy stands out as a clean and renewable source garnering more attention each day. However, the variable and unpredictable nature of wind speed presents a challenge to integrating wind energy into the electricity grid. Accurate wind speed forecasting is essential to overcome these obstacles and optimize wind energy usage. This study focuses on developing a robust wind speed forecasting model capable of handling non-linear dynamics to minimize losses and improve wind energy efficiency. Wind speed data from the Bandırma meteorological station in the Marmara region of Turkey, known for its wind energy potential, was decomposed into intrinsic mode functions (IMFs) using robust empirical mode decomposition (REMD). The extracted IMFs were then fed into a long short-term memory (LSTM) architecture whose parameters were estimated using the African vultures optimization (AVO) algorithm based on tent chaotic mapping. This approach aimed to build a highly accurate wind speed forecasting model. The performance of the proposed optimization algorithm in improving the model parameters was compared with that of the chaotic particle swarm optimization (CPSO) algorithm. Finally, the study highlights the potential of utilizing advanced optimization techniques and deep learning models to improve wind speed forecasting, ultimately contributing to more efficient and sustainable wind energy generation. This robust hybrid model represents a significant step forward in wind energy research and its practical applications.
- MakaleAçık Erişim2024GIS-based multi-influencing factor (MIF) application for optimal site selection of solar photovoltaic power plant in Nashik, India
Rane, Nitin Liladhar; Günen, Mehmet Akif; Mallick, Suraj Kumar; Rane, Jayesh; Pande, Chaitanya B.; Giduturi, Monica; Bhutto, Javed Khan; Yadav, Krishna Kumar; Tolche, Abebe Debele; Alreshidi, Maha Awjan
The significant natural energy sources for reducing the global usage of fossil fuels are renewable energy (RE) sources. Solar energy is a crucial and reliable RE source. Site selection for solar photovoltaic (PV) farms is a crucial issue in terms of spatial planning and RE policies. This study adopts a Geographic Information System (GIS)-based Multi-Influencing Factor (MIF) technique to enhance the precision of identifying and delineating optimal locations for solar PV farms. The choice of GIS and MIF is motivated by their ability to integrate diverse influencing factors, facilitating a holistic analysis of spatial data. The selected influencing factors include solar radiation, wind speed, Land Surface Temperature (LST), relative humidity, vegetation, elevation, land use, Euclidean distance from roads, and aspect. The optimal sites of solar PV power plant delineated revealed that 'very low' suitability of site covering 4.866% of the study area, 'low' suitability of site 13.190%, 'moderate' suitability of site 31.640%, 'good' suitability of site 32.347%, and 'very good' suitability of site for solar PV power plant encompassing 17.957% of the study area. The sensitivity analysis results show that the solar radiation, relative humidity, and elevation are the most effective on the accuracy of the prediction. The validation of the results shows the accuracy of solar PV power plant prediction using MIF technique in the study area was 81.80%. The integration of GIS and MIF not only enhances the accuracy of site suitability assessment but also provides a practical implementation strategy. This research offers valuable insights for renewable energy policymakers, urban planners, and other stakeholders seeking to identify and develop optimal locations for solar energy power farms in their respective regions.
- MakaleAçık Erişim2024Late pleistocene glacial history of Mount Karadag, SW Turkiye
Bayrakdar, Cihan; Çilgin, Zeynel; Saris, Faize; Yesilyurt, Serdar; Keserci, Ferhat; Büyükdeniz, Yusuf; Halis, Onur; Vockenhuber, Christof; Ivy-Ochs, Susan; Akçar, Naki
Glacial landforms in the southwestern part of the Anatolian Peninsula are found at lower elevations than the rest, suggesting that glaciers were present during the Late Pleistocene. Karadag, located west of the Western Taurus Mountains, provides evidence of the climatic conditions that facilitated this extensive glaciation. It is characterized by numerous peaks exceeding 2300 m above sea level (asl), with the highest peak reaching 2418 m, making it the region's largest glaciation area. This high mountain mass is composed mainly of limestone and dolomite. This study focuses on the glacial landforms in Karadag to reconstruct the Late Pleistocene glacial chronology and palaeoclimate of the Western Taurus Mountains. We employed detailed UAV photogrammetry, extensive fieldwork and mapping, surface exposure dating with cosmogenic 36Cl, meteorological measurements, palaeoglacier reconstruction, and palaeo-equilibrium line altitude (pELA) calculations. Karadag, a topographic barrier to humid air masses from the Mediterranean Sea, ranks as the second wettest area in the Western Taurus Mountains. At a meteorological station we installed in Karadag, an annual precipitation of 1700 mm or more was recorded, highlighting its significant precipitation. In Karadag, we have identified two glacial valleys with a maximum length of 4.5 km and six cirques. The glaciers reached their maximum extent around 22.4 f 2.8 ka during the Last Glacial Maximum (LGM), facilitated by the lowering of the pELA to 2090 m. During the LGM, the glaciers covered an area of approximately 3.5 km2 and reached a maximum thickness of about 140 m. Sample TRKR 10 at 2015 m probably belongs to the LGM period. Although a single sample does not conclude definitive conclusions, the presence of the moraine at its highest position indicates the maximum thickness of the glacier. Following the LGM, two more significant glacier advances occurred during the Lateglacial (15.5 f 2.7 ka) and the Younger Dryas (12.4 f 1.1 ka). During the late Pleistocene glaciations, and especially during the LGM, Karadag probably received more precipitation than today, leading to the formation of glaciers at relatively lower elevations than on the Anatolian Peninsula.
- MakaleAçık Erişim2024Does structural change matter for sustainable development in newly industrialized countries? Fresh evidence from a new sustainability indicator
Artan, Seyfettin; Erdogan, Sinan; Recepoglu, Muersit; Çakir, Suemeyra cay; Hayaloglu, Pinar; Çakir, Mehmet Ali
The economic gap between developed and developing economies has been diminishing due to the recent rapid economic growth performance of developing economies. While achieving this swift growth level, developing economies have structurally transformed their economies. However, the impact of this structural change on environmental sustainability remains unclear. Therefore, this study focuses on the impacts of structural change, energy structure, and economic growth on the load capacity factor, a comprehensive sustainability indicator, in newly industrialized countries during 2000-2020. To this end, second-generation panel data techniques, which account for cross-sectional dependence and heterogeneity, are used to provide more robust and reliable estimates. The results show that economic growth, structural change, and fossil energy utilization decrease the load capacity factor while renewable energy utilization increases it. These findings underscore the need for energy efficiency and resource-conscious policies that align with environmental sustainability while promoting economic growth, highlighting their crucial role in the future of sustainable development.
- Derleme MakaleAçık Erişim2023Dizel Motorlarda Dimetil Eter Kullanımının Partikül Madde Emisyonlarına Etkileri Üzerine Bir Derleme
Sezer, İsmet
Bu çalışma, dizel motorlarda dimetil eter (DME)’in saf veya yakıt katkısı olarak kullanımı üzerine yapılmış çeşitli çalışmaların sonuçlarından yararlanılarak derlenmiştir. Dizel motorlarda zararlı egzoz emisyonlarını azaltmanın birkaç yöntemi vardır. Bunlardan ilki motor tasarımında ve yakıt enjeksiyon sisteminde modifikasyonlar yaparak yanmanın iyileştirilmesidir, ancak bu pahalı ve zaman alıcı bir yöntemdir. İkinci yöntem ise katalitik konvertör ve partikül fitresi gibi donanımlar kullanmaktır, ancak bu donanımlar motor performansını olumsuz yönde etkiler. Hem egzoz emisyonlarını azaltmak hem de motor performansını artırmak için uygulanan son yöntem çeşitli alternatif yakıtların veya yakıt katkılarının kullanılmasıdır. Dizel motorlardaki en önemli emisyonlar azot oksitler (NOx) ve partikül madde (PM) emisyonlarıdır. Çoğu araştırmacı emisyonları azaltmanın en iyi yolunun doğalgaz, biyogaz, biyodizel gibi alternatif yakıtların veya konvansiyonel veya alternatif yakıtlarla birlikte çeşitli yakıt katkılarının kullanılması olduğunu bildirmektedir. Bu nedenle, alternatif yakıtlar ve yakıt katkıları üzerine yapılan çalışmaların sonuçlarının birlikte değerlendirilmesi pratik uygulamalar için oldukça önemlidir. Bu çalışma, dimetil eterin dizel motorlarda yakıt veya yakıt katkısı olarak kullanılmasının PM emisyonları üzerindeki etkilerinin incelenmesine odaklanmıştır. Yapılan derleme çalışması sonucunda; DME saf olarak kullanıldığında yüksek oksijen içeriği, kimyasal yapısında direkt bağlı karbon bulunmaması, hızlı buharlaşma, yüksek setan sayısı ve düşük tutuşma sıcaklığı gibi özellikleri sayesinde sıfıra yakın PM emisyonu elde edilmesini sağladığı belirlenmiştir. Saf DME’nin dizel yakıtına kıyasla PM emisyonunu %13–228 ve biyodizel yakıtına kıyasla %88.6–227.6 azalttığı tespit edilmiştir. Ayrıca, farklı oranlarda DME içeren dizel–DME karışımlarının dizel yakıtına kıyasla PM emisyonunu %4.7–509 azalttığı ve farklı oranlarda DME içeren biyodizel–DME karışımlarının PM emisyonunu biyodizel yakıtına kıyasla %38.2 azalttığı tespit edilmiştir. Diğer taraftan, LPG–DME karışımının dizel yakıtına kıyasla PM emisyonunu %269–493 azalttığı ve farklı oranlarda DME içeren DME–NH3 karışımlarının saf DME’ye kıyasla PM emisyonunu %40.7–96.7 artırdığı tespit edilmiştir. Öte yandan, egzoz gazı resirkülasyonu (EGR) oranının %10–50 aralığında değiştirilmesinin PM emisyonunu %13.1–48.4 artırdığı tespit edilmiştir.
