Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Akinoglu, Bulent G.(3)
- Ozden, Talat(3)
- Çakmak, Recep(3)
- Essaaidi, M.(2)
- Turan, Raşit(2)
- Zaz, Y.(2)
- Çevik, Sibel(2)
- Özden, Talat(2)
- Aklnoǧlu, Bülent Gültekin(1)
- Akmoǧlu, Bülent Gültekin(1)
- Akıncı, Burak(1)
- Altas, Ismail Hakk(1)
- Altas, Ismail Hakki(1)
- Altaş, Ismail Hakki(1)
- Ane, B.K.(1)
- Badel Kocagöz Demir(1)
- Balog, Robert S.(1)
- Ben Ahmed, M.(1)
- Boudhir, A.A.(1)
- Comert, R.(1)
- Durusoy, Beyza(1)
- Ergün, Alper(1)
- Hisoglu, Seyit(1)
- Karaağaç, Mehmet Onur(1)
- Karas, I.R.(1)
- Kutlu, Elif Ceren(1)
- Mikail Kurtoğlu(1)
- Ozyildirim, BM(1)
- Tolgay, Doga(1)
- Tuncel, Bilge(1)
- Ulutas, Ahsen(1)
- Yakut, Muhammet Samet(1)
- Yildirim, T(1)
- Çakir, Günay(1)
Yayınlar
- MakaleAçık Erişim2024Scopus SJRQ1Enhancing 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.
AtıfScopus23WoS20OpenAlex24
İncele - Yüksek Lisans TeziAçık Erişim2023Güneş kollektörlerinde enerji verimliliğini artırmak için faz değiştiren malzemelerin kullanımının araştırılması
Mikail Kurtoğlu
Güneş enerjisi, kesintili bir enerji kaynağı olduğu için periyodik olarak depolanması gereklidir. Güneş enerjisinden elde edilen en başlıca enerji termal enerjidir. Güneş enerjisinden faydalanmamızı sağlayan güneş kollektörleri, termal enerjiyi depolayarak sıcak su gereksinimini karşılamaktadır. Güneş kollektörleri, Güneş kaynaklı çalıştığı için güneşin batması ile kısıtlanan bir durum söz konusu olmaktadır. Çeşitli termal enerji depolama yöntemlerinden olan gizli ısı depolama, küçük sıcaklık değişimi ve hacmine göre yüksek depolama yoğunluğu sebebi ile en iyi yöntemlerdendir. Bu tez kapsamında faz değiştiren malzeme olarak yüksek termal enerji depolama kabiliyetine sahip olan RT31 ve RT35 kullanılmıştır. Tez çalışmasında, gizli ısı depolayan faz değiştiren malzeme entegre edilmiş düzlemsel güneş kollektörü, üç farklı konfigürasyonda Gaziantep, Ankara ve Trabzon illeri için anlık verimler ile FDM'nin sarj ve deşarj süreleri hesaplanmıştır. Uygulanan konfigürasyonlarda 1 cm, 2 cm ve 3 cm kalınlıklarında kullanılan faz değiştiren malzeme akışkan borusu ve yalıtım malzemesi arasına konulmuştur. Araştırma sonuçlarına göre güneş kollektörlerinde faz değiştiren malzemelerin kalınlık, malzeme tipi ve erime sıcaklığına bağlı olarak kollektör verimlerinin değiştiği görülmektedir. Kollektör verimleri, faz değiştiren malzemenin sarj süresi boyunca düşerken, deşarj süresi boyunca artmaktadır. RT31-1 cm konfigürasyonu, her üç il içinde uygun performansta olduğu ve depolanan gizli ısının gün batımından sonra da devam ettiği görülmektedir. Belli erime sıcaklıklarında kullanılan FDM'nin kalınlığının artmasının, tüm aylar için uygun olmadığı ve en yüksek verim değerlerine RT35-3cm konfigürasyonu için Gaziantep ilinde temmuz ayında ulaşılmıştır.
- MakaleAçık Erişim2023Assessment of photovoltaic module temperature estimation for four years with four different software; [Dört yıllık fotovoltaik modül sıcaklık tahmininin dört farklı yazılımla değerlendirilmesi]
Tolgay, Doga; Yakut, Muhammet Samet; Ozden, Talat; Akinoglu, Bulent G.
The software used today, on the estimation of module temperature of photovoltaic systems, seem very important to be analyzed. These estimates are crucial in future techno-economic and environmentally friendly analyses of the systems to reach better achievements for future generations. This is very important to reach lifetime analyses of long-term feasibility to find out payback time and the levelized cost of energy. The present work is based on this issue, to test the module temperature estimation formulas used by four commonly used software models, and to determine the most suitable software for temperature analyses of five different photovoltaic modules in Middle Anatolia. Outdoor truthful long-term testing is the main realistic approach to reach fundamental contemplations. After an introductory basic knowledge, the main materials and methods are discussed to enlighten the analysis. The main methodology is given and further prospects are enlightened. Four well-known software are analyzed using four years of outdoor testing of five different photovoltaic modules. Measured ambient temperature and solar irradiance are used in the categorization of the software estimation performances. PV*SOL appears to be superior at low irradiance and ambient temperature, whereas Helioscope appears to be superior overall.
AtıfScopus2İncele - Yüksek Lisans TeziAçık Erişim2022Fotovoltaik güç sistemlerinde performansı etkileyen parametrelerin incelenmesi: Bayburt güneş enerji santrali örneği
Badel Kocagöz Demir
Günümüzde sanayileşme faaliyetlerine ve artan insan nüfusuna bağlı olarak enerjiye olan ihtiyaç artmıştır. Hızla gelişen sanayileşme ve artan enerji ihtiyaçları, fosil kökenli ham maddeleri sürekli azaltmaktadır. Elektrik enerjisinin genellikle fosil kökenli kaynaklar kullanılarak elde edilmesi, çevre kirliliği ve küresel ısınma başta olmak üzere doğada önemli tahribatlara yol açmıştır. Bu tahribatı azaltmak ve ortadan kaldırmak için yenilenebilir enerji kaynaklarının kullanımı önemli bir alternatif haline gelmiştir. Bu doğrultuda en önemli yenilenebilir enerji kaynaklarından olan güneş enerjisi; yakıt maliyeti olmayan, çevreye zararı yok denecek kadar az olan, güneş ışınlarından yararlanmak için geniş alanlara kurulan, güneş panelleri yardımıyla enerji elde edilen sistemlerdir. Bu tezde Bayburt'ta bulunan Güneş Enerji Santrali'nin 2020 yılında ürettiği elektrik enerjisi verisine bağlı olarak bir güneş enerjisi sisteminin (GES) performans parametrelerinin incelenmesine dair rehber niteliğinde bir çalışma gerçekleştirilmiştir. Bayburt GES'in 2020 yılında ürettiği enerji miktarı 12.1 GWh'dir. Aylık üretilen enerji ve aylık ortalama güneş ışınım değerinden yıllık ortalama performans oranı %89.04, kapasite faktörü %18.3, panel verimliliği ise %16.88 hesaplanmıştır. Faaliyette olan Bayburt GES'in HelioScope programında tasarımı yapılmıştır. HelioScope'da yapılan tasarım sonucunda santralin ürettiği yıllık enerji miktarı 11.03 GWh ve performans oranı %86.3 hesaplanmıştır. Tasarım tipi, güneş paneli eğim açısı, azimut açısı sistemin verimini önemli ölçüde etkilediğinden HelioScope programında farklı tasarımlar yapılarak bir GES'in performansını etkileyen parametrelerin etkileri incelenmiştir. Güneş panelinin üzerine düşen gölge etkisinin ve güneş panellerinin kirlenmesinin sistemin verimini düşürdüğü sonuçlardan görülmüştür. Gölge etkisi olan sistemin performans oranı değeri %62.7 iken optimizer kullanılarak iyileştirilen sistemin performans değeri %75.8 olmuştur.
- MakaleYayıncıda açık erişim2022Scopus SJRQ1Technical potential of rooftop solar photovoltaic for Ankara
Kutlu, Elif Ceren; Durusoy, Beyza; Ozden, Talat; Akinoglu, Bulent G.
Turkey, which has immense solar potential, has recently shifted towards solar energy and new renewable energy deployment regulations, including implementation and commercializing rooftop PV technologies. Thus, these require a detailed assessment to determine the power source's capability and convince the policymakers. To the authors' best knowledge, there is no available data or a city-based study for the rooftop PV potential in Turkey. Here, we present the first city-based rooftop PV potential study in Ankara. The technical PV potential calculations are sensitive to the suitable area ratio, module efficiency, and module area assumptions. This study proposes a new, free, reliable, and open-source model for estimating the rooftop PV potential, and it is adaptable to every roof type. The suitable roof area for PV panels is calculated using Helioscope software. Five different modules with different efficiencies and module sizes are modelled in Helioscope. The results showed that Ankara's total technical PV potentials for residential, public, and commercial buildings are 1.15 TWh/year, 55 GWh/year, and 26.8 GWh/year, respectively. Best results are obtained by Mono-Si Halfcut (M2) and Thin Film (M5) modules in residentials, M2 and Mono-Si Bifacial Modules (M3) in Public and Commercial Buildings.
AtıfScopus31WoS28OpenAlex33İncele - BildiriAçık Erişim2021GIS-BASED OPTIMUM SITE SELECTION for SOLAR ELECTRIC VEHICLE CHARGING STATION: ANKARA-ISTANBUL HIGHWAY CASE
Hisoglu, Seyit; Comert, R.; Karas, I.R.; Ben Ahmed, M.; Boudhir, A.A.; Ane, B.K.
Energy sources are divided into renewable and non-renewable sources. It can be seen that non-renewable energy resources are not adequately meeting the increased demands of worldwide technological developments, increasing population, and global consumption. Therefore, the demand for renewable resources is increasing day by day. When it comes to the use of non-renewable carbon-based fossil fuels, one of the first areas that come to mind is undoubtedly the Automotive sector. Today, it is realized that one of the main reasons for the lack of electric motor cars compared to petroleum fuelled cars, is the scarcity of electric vehicle charging stations and the difficulty of their accessibility. In this study; an analysis of solar-powered electric charging stations site selection was carried out for electric vehicles. The Ankara-Istanbul highway, which has a high traffic density, was chosen as the sample route for the study. Within the scope of the study, the areas where stations can be installed on the highway were carried out using the Multi-Criteria Decision Making Method with the help of Geographic Information System. Solar radiation, slope, aspect, land use/land cover, traffic volume and proximity to the road, criteria of the route, and site selection analysis were determined as input data. The maps of the determined criteria were arranged according to the study area and prepared for analysis. The criteria maps obtained were reclassified according to the above-mentioned criteria and scoring system. After the reclassification process, the weighting of each criteria which affect the analysis was determined by the researched literature and an overlapping process was carried out. According to the results map produced as a result of the overlay analysis, the appropriate area has been determined for the electric charging stations working with solar energy. On the defined route within the scope of the study, a proposal has been made for a total of 13 stations, 8 in Ankara, 3 in Bolu, 1 in Kocaeli, and 1 in Istanbul. This study, it is aimed to encourage automobile users to make greater use of electric motor vehicles, which would be a more environmentally friendly and sustainable choice, and ultimately more economical.
AtıfScopus6OpenAlex3İncele - BildiriYalnız künye2018Hourly Solar Irradiation Prediction by Artificial Neural Network Based on Similarity Analysis of Time Series
Ulutas, Ahsen; Çakmak, Recep; Altas, Ismail Hakki; Ozyildirim, BM; Yildirim, T
Solar energy is a renewable energy source which has intermittent and variable characteristic. Solar irradiation must be predicted in advance in an electrical grid which has solar energy based electrical power generation systems in order to operate the electrical grid stable and efficient. In this study, a multi-layered, feed forward artificial neural network (ANN) has been designed to predict the hourly solar irradiation of next day. The designed ANN has been trained by data which has been obtained via similarity analysis. Total solar irradiation on horizontal plane, relative humidity and temperature data of Trabzon province for 2015-2017 have been used as the training data set. Hourly solar irradiation prediction has been performed by utilizing the designed ANN and test data set. The prediction results have been evaluated as to root mean square (RMS), mean absolute error (MAE) and mean absolute percentage error (MAPE) performance criteria. The obtained performance criteria results show that the proposed ANN could make prediction with acceptable error.
AtıfWoS2İncele - BildiriAçık Erişim2018Thermal modeling and verification of pv module temperature and energy yield using outdoor measurements for Ankara, Turkey
Tuncel, Bilge; Akinoglu, Bulent G.; Ozden, Talat; Balog, Robert S.
Ankara is in the Central Anatolia region of Turkey where the climate is dry-continental with an annual solar insolation of around 1750 kWh/m 2 . In the transition to renewable energy, detailed analyses are required to ensure effective and economic utilization of the available solar resource. An essential part of these analyses is to calculate expected energy yield. For photovoltaic (PV) systems, this includes the effect of temperature on the PV efficiency, which determines the power yield of the PV modules. In this study, a first-principles thermal modeling approach is improved by adding the speed and direction of wind across the PV module into a forced convection term as well as including the temperature dependency of the module conversion efficiency. The analytical model is based on the principle of conservation of energy and uses meteorological data that are readily available from most state meteorological services. The mathematical analysis is suitable to predict the performance of a proposed PV installation without the time and expense of installing and monitoring a pilot system. The mathematical model is compared against measured data from the METU-GUNAM Outdoor Test Facility in Ankara to validate the methodology. Preliminary analyses showed that the model performs well especially during sunrise and sunsets shoulders of the diurnal cycle with a deviation of only a few W/m 2 for the electrical power yield and about 2°C for the module temperature. However, these deviations could become as large as 12 W/m 2 and 8°C at solar noon which suggests that the model still requires further improvement. In general, this error was found to be less that obtained by using basic explicit correlation methods and offers the advantage that it can be used for other geographical environments for which insolation and meteorological data is available without needing to construct a test-site.
AtıfScopus6WoS4OpenAlex6İncele - BildiriYalnız künye2018On the Yearly Performance of a Bifacial PV Module in Central Anatolia - Turkey
Özden, Talat; Turan, Raşit; Aklnoǧlu, Bülent Gültekin; Zaz, Y.; Essaaidi, M.
With the tremendous increase in the photovoltaic (PV) power plants world-wide remarkable decreases in their installation prices per watt are attained mainly due to economic scale effect. This brings questioning to increase their energy yields by considering any possible way like fabricating bifacial solar modules. Present study is on the performance analysis of a bifacial PV module using one-year outdoor testing results in Ankara-Turkey. The module performed very well and reached a specific yield value of 1750 kWh/kWp. This value for Central Anatolia region is well above the values predicted (and suggested) by the local authorities. The efficiency and performance ratio variation with respect to ambient and module temperature are obtained. The calculated dependence of efficiency on the module temperature is found to be η=-0.073Tmod+18.05, and the maximum measured module temperature is about 70 °C. The results show that the bifacial modules have the potential to replace the mono facial modules that are now dominating the PV market.
AtıfScopus3OpenAlex2İncele - BildiriYalnız künye2018Seasonal Variation of the Monthly Efficiencies of Thin Film PV Modules
Özden, Talat; Turan, Raşit; Akmoǧlu, Bülent Gültekin; Zaz, Y.; Essaaidi, M.
Outdoor testing of solar photovoltaic (PV) modules must be carried out at different climates as PV power plants nowadays are installed and continues to be installed in many countries. Present study is outdoor testing results and analyses of 5 thin film modules in Ankara, Turkey. The analyses are carried out using monthly efficiencies of the modules that are derived using the energy yield and input. The average efficiencies of the CIS, CIGS and μc-Si/a-Si thin film modules are. We present the monthly and average efficiencies and discuss their variations with the parameter: input, ambient temperature and relative humidity. We also carried out seasonal analyses using Pearson's correlation coefficient and find out that the efficiencies are differently dependent on the above mentioned parameters. This arose a new open question on differentiation of the strength of the effect of each parameter on the monthly efficiencies.
AtıfScopus1WoS1OpenAlex1İncele - BildiriYalnız künye2017A Day Ahead Hourly Solar Radiation Forecasting by Artificial Neural Networks: A Case Study for Trabzon Province
Çevik, Sibel; Çakmak, Recep; Altas, Ismail Hakk
The integration of renewable energy sources to the electrical grid leads to some issues in the grid because of intermittent and variable characteristics of renewable energy sources such as wind and solar. It has been predicted that the solar based electricity production will has highest annual increase rate among the other renewable sources. Due to the intermittent and volatile nature of the solar energy in an electricity grid where photovoltaic systems are intensive, load planning is essential. Therefore, day ahead solar radiation forecasting will contribute to the load planning studies. Artificial neural networks are one of the methods that are applied frequently and successfully in forecasting studies. In this study, a cause effect based artificial neural network (ANN) has been designed and performed for day ahead hourly solar radiation forecasting in Trabzon province. A similar day selection algorithm has been utilized to get more accurate forecasting by the ANN. The designed ANN has been trained and tested in MATLAB simulation environment without using ready codes of MATLAB ANN toolbox. The obtained results reveal that the designed ANN forecasts the solar radiation with acceptable error for a place such as Trabzon which has rainy and cloudy weather conditions.
AtıfWoS5İncele - BildiriYalnız künye2017A day ahead hourly solar radiation forecasting by artificial neural networks: A case study for Trabzon province; [Yapay Sinir Aǧlari ile Gün Öncesi Saatlik Güneş Radyasyonu Tahmini: Trabzon İli Örneǧi]
Çevik, Sibel; Çakmak, Recep; Altaş, Ismail Hakki
The integration of renewable energy sources to the electrical grid leads to some issues in the grid because of intermittent and variable characteristics of renewable energy sources such as wind and solar. It has been predicted that the solar based electricity production will has highest annual increase rate among the other renewable sources. Due to the intermittent and volatile nature of the solar energy in an electricity grid where photovoltaic systems are intensive, load planning is essential. Therefore, day ahead solar radiation forecasting will contribute to the load planning studies. Artificial neural networks are one of the methods that are applied frequently and successfully in forecasting studies. In this study, a cause effect based artificial neural network (ANN) has been designed and performed for day ahead hourly solar radiation forecasting in Trabzon province. A similar day selection algorithm has been utilized to get more accurate forecasting by the ANN. The designed ANN has been trained and tested in MATLAB simulation environment without using ready codes of MATLAB ANN toolbox. The obtained results reveal that the designed ANN forecasts the solar radiation with acceptable error for a place such as Trabzon which has rainy and cloudy weather conditions.
AtıfScopus9OpenAlex13İncele - MakaleYalnız künye2013Scopus SJRQ3Ecological and economical advantages of solar water heating systems used by forest villagers in Gumushane, Turkey
Çakir, Günay
Clean and safety energies are crucial for our world energy requirements. Therefore, the environmental awareness on the topic will also increase the use of clean energy especially in rural and urban areas. A solar energy water heater solar system is one of the clean energy systems and has the best environmental impact in the region. This study concentrates on analyzing the solar energy heater systems having ecological impacts and economical advantages used by 891 single forest villagers in Gumushane province. Average energy saving were calculated for monthly and yearly for the families use solar heating water systems. Thus, we came to the conclusion of that it is highly important economically and ecologically having advantage of solar energy water heater systems for Gumushane province. The results of this study can be summarized as followings solar water heating systems; a) reduce the rate of burning wood and carbon emission, b) save 75 kW electric energy, c) total wood saved 1291.5 m3 and d) 1635 $/year for per forest villager house.