Sürdürülebilir Kalkınma Amaçları

• 13
• 10
• 7
• 5
• 4

• MakaleYalnız künye2021/r/gumushane/12723
  Geo-spatial multi-criteria evaluation of wave energy exploitation in a semi-enclosed sea

  Şan, Murat; Akpınar, Adem; Bingölbali, Bilal; Kankal, Murat

  The present study aims to determine priority areas for installation of wave energy converters (WECs) in a semi-enclosed sea using a multi-criteria, spatial, decision-making analysis based on geographical information systems (GIS). The study also suggests a new methodology for determination of suitable areas for WECs taking into consideration different extreme wave conditions, intra-annual variation of wave conditions, and operational range of wave conditions by the WECs. A case study over a distance of 1140 km along the coast in the southwest Black Sea is presented. In the multi-criteria analysis, areas with environmental, economic, technical and social constraints are excluded. Ocean depth, distance to ports, shore, power line, and sub-station, wave climate, and sea-floor geology are all evaluated for their impact on the system implementation and weighted according to their relevance. Thus, the final suitability index (SI) map is produced and spatial statistical significance of the suitable areas is checked using hotspot analysis. Based on this, Kırklareli coastal area and the area between İğneada Cape and Kıyıköy village are determined as primary priority areas. The sustainability parameters with different weights proposed in this study do not differentiate priority areas but affect the SI scores.

  • 
  • 
  • 
  • 
  İncele
• DüzeltmeYalnız künye2018/r/gumushane/15250
  Retraction notice to “Regional sustainable water and energy development projects: A case of Southeastern Anatolia Project (GAP) in Turkey” (Renew Sustain Energy Rev (2011) (16/2) (1146–1156)(S136403211100551X)(10.1016/j.rser.2011.11.015))

  Akpinar, A.; Kaygusuz, K.

  This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of the Editor-in-Chief. The authors have plagiarized part of a paper that had already appeared in Renewable Energy, Volume 39 (2012), Pages 17–23, DOI: 10.1016/j.renene.2011.08.006. Although the authors were contacted for a reaction, we were unsuccessful in obtaining a response. One of the conditions of submission of a paper for publication is that authors declare explicitly that the paper is not under consideration for publication elsewhere. Re-use of any data should be appropriately cited. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission process.

  • 
  • 
  İncele
• DüzeltmeYalnız künye2017/r/gumushane/15086
  Retraction notice to “Regional sustainable water and energy development projects: A case of Southeastern Anatolia Project (GAP) in Turkey” [Renew Sustain Energy Rev 16/2 (2011) 1146–1156](S136403211100551X)(10.1016/j.rser.2011.11.015)

  Akpinar, A.; Kaygusuz, K.

  This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of the Editor-in-Chief. The authors have plagiarized part of a paper that had already appeared in Renewable Energy, Volume 39 (2012), Pages 17–23, DOI: 10.1016/j.renene.2011.08.006. Although the authors were contacted for a reaction, we were unsuccessful in obtaining a response. One of the conditions of submission of a paper for publication is that authors declare explicitly that the paper is not under consideration for publication elsewhere. Re-use of any data should be appropriately cited. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission process.

  • 
  • 
  İncele
• MakaleYalnız künye2014/r/gumushane/19070
  Türkiye'de hidroelektrik enerjinin gelişiminde özel sektör katkısının irdelenmesi: doğu karadeniz havzası örneği

  Satılmış, Uğur; Akpinar, Adem

  Bu çalışmada, Türkiyenin kuzey doğusunda DSİ 22. Bölge Müdürlüğü bünyesinde özel sektör ve resmi kurumlar tarafından gerçekleştirilmiş ve gerçekleştirilecek hidroelektrik santral projelerinin şimdiki durumu incelenerek bu projelerin gelecek yıllarda hidroelektrik üretime muhtemel katkıları araştırılmıştır. Ayrıca, bölgedeki santrallerin, Türkiyedeki ulusal ekonomiye katkıları ve Türkiyenin toplam hidroelektrik ve küçük hidroelektrik potansiyellerin değerlendirilme oranları tespit edilmiştir. Çalışılan alanla ilgili yapılmış olan potansiyel belirleme çalışmalarından elde edilen potansiyellerle ilgili bir kıyaslama yapılarak DSİ 22. Bölge Müdürlüğünün faaliyetlerinin potansiyeli ne kadar karşıladığı belirlenmiştir (Akdoğar, 2006; Eroğlu, 2011). Önceki yıllarda Doğu Karadeniz Havzası için yapılan bir çalışmada, bu çalışmanın kapsadığı bazı illerde çalışmanın yapıldığı yılda geliştirilmiş ve geliştirilmekte olan hidroelektrik santrallerin durumu ile şu anki durum kıyaslanarak geçen 4 yıl süredeki gelişmeler irdelenmiştir (Aslan, 2009). Buradan yola çıkılarak 4628 Sayılı Elektrik Piyasası Kanununun ve dolayısıyla özel sektörün ilgi alanındaki hidroelektrik enerji gelişimine katkısı araştırılmıştır.

  İncele
• MakaleYalnız künye2014/r/gumushane/13100
  Prediction of wave parameters by using fuzzy inference system and the parametric models along the south coasts of the Black Sea

  Akpinar, Adem; Özger, Mehmet; Kömürcü, Murat Ihsan

  Forecasting of sea-state characteristics has a great importance in coastal and ocean engineering studies. Therefore, the purpose of this study was to investigate performances of Adaptive-Network-Based Fuzzy Inference System (ANFIS) and several parametric methods in the Black Sea. For this purpose, different fuzzy models with different input combinations were developed for two different wind data sources (TSMS and ECMWF) at two offshore buoy stations. It also aimed to apply several approaches to event-based data sets for wave predictions. Generally, in literature the tendency is to use time series data for wave predictions. In this kind of prediction approach, lagged time series data are taken as inputs and current or future variables are taken as output. In this study, event-based data for each independent storm were extracted from time series data. Simultaneous or concurrent data of wind speed, blowing duration, fetch length and wave characteristics were detected for each single storm. These event data were then used to set up models. The hindcast results were validated with significant wave height and mean wave period data recorded in Hopa and Sinop buoy stations. The performance of developed fuzzy models were also compared with that of four different parametric methods (Wilson, SPM, Jonswap, and CEM methods) applied for two wind data sources at both buoy stations. Finally, it was determined that in the prediction of both wave parameters (H s and T z) the ANFIS models (R = 0.66, squared correlation coefficient, and MAE = 0.37 m, mean absolute error, for the best model in prediction of H s) were more accurate than the parametric methods (R = 0.63 and MAE = 0.75 m for the best model in prediction of H s).

  İncele
• MakaleYalnız künye2013/r/gumushane/15504
  The contribution of hydropower in meeting electric energy needs: The case of Turkey

  Akpinar, Adem

  In this article, an attempt is made to better understand the contribution of hydropower in meeting electric energy needs of Turkey. Thus, a comparison between Turkey and other countries, which have some similarities with Turkey or which are more developed nations compared to Turkey, for evaluating from different aspects the contribution of hydropower in meeting electric energy needs is performed. The producers of electricity and hydroelectricity in the world, and the electric sectors of all the selected countries are firstly examined. Thereafter, Turkey's water resources and its potential, hydropower potential, and current status of hydropower in Turkey are investigated in detail. A detailed discussion regarding economic and energy indicators, hydroelectricity versus thermal electricity, the contributions of hydroelectricity to the total and renewable electricity generation, and the usage status of hydro potential of each selected nation is also made. Finally, it is found that hydropower is the second largest contributor in meeting Turkey's electric energy needs after thermal, mainly natural gas. It is also estimated that the contribution of hydropower will continue because a vast amount of its economically feasible hydro potential (about 64%) is undeveloped. Besides, it is determined that the contribution of hydropower in the total electricity generation in Turkey is greater than that of China and India, but it is lower than that of Norway, Brazil, and Canada.

  • 
  • 
  İncele
• MakaleYalnız künye2013/r/gumushane/15443
  Evaluation of wind energy potentiality at coastal locations along the north eastern coasts of Turkey

  Akpinar, Adem

  This study aims to determine and evaluate wind energy potentiality along coastal locations at the North Eastern of Turkey. For this purpose, the present study has statistically analysed wind power potentials and wind characteristics from six meteorological stations (Sinop, Samsun, Ordu, Giresun, Trabzon, and Hopa) along the North Eastern (NE) geo-political coastal region of Turkey using the hourly or 3-hourly wind speed data measured at 10 m height during 9 years. The diurnal, monthly, and seasonal mean wind speed and wind power density at all the stations are assessed to have remarkable variations. The annual and seasonal frequency distributions and dominant wind directions of the all locations are determined. It is observed that the monthly mean wind speed in this region ranges from 1.53 m/s to 4.06 m/s. The maximum annual mean wind power density was found to be 59.96 W/m2 at Sinop while the maximum annual mean wind energy density was obtained to be 525.25 kWh/m2/year at the same station. It is further shown that Sinop, Hopa, and Trabzon have the higher wind power potential than other locations and their potential are close to each other.

  • 
  • 
  İncele
• MakaleYalnız künye2013/r/gumushane/15374
  Prediction of offshore bar-shape parameters resulted by cross-shore sediment transport using neural network

  Kömü rcü, Murat Ihsan; Kömür, Mehmet Aydin; Akpinar, Adem; Özölçer, Ismail Hakki; Yüksek, Ömer

  In order to understand the features of coastal zone and to utilize the coastal areas, it is necessary to determine the sediment movement and the resulting transport. Waves, topographic features, and material properties are known as the most important factors affecting the sediment movement and coastal profiles. In this study, by taking into consideration of wave height and period (H0, T), bed slope (m) and sediment diameter (d50), cross-shore sediment movement was studied in a physical model and various bar-shape parameters of the resultant erosion type profile were determined. Using 80 experimental data which are obtained from physical model studies, a neural network (NN) has been calibrated to predict bar-shape parameters of beach profiles. A sensitivity analysis was firstly carried out to decide data of training and test sets. Four different models, in which the rates of their training and testing set data were 80% and 20%, 70% and 30%, 60% and 40%, 50% and 50% were constituted and their performances were compared. It was determined that the model, in which the rate of its training and testing set data was 80% and 20%, respectively, has the best results. Therefore, a total of 64 experimental data were used as training set and the remainders of the experimental data were used as a testing set for the model. The performance of the NN model was compared with the regression equations developed in a previous study and the equations cited in literature indicating better performance over the equations.

  • 
  İncele
• MakaleYalnız künye2013/r/gumushane/13193
  Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data

  Akpinar, Adem; Kömürcü, Murat I.hsan

  In this study, the existence and variability of wave energy resource potential of the Black Sea based on 15-year hindcast data is described in detail. The hindcasts of wave parameters were carried out by using the third generation wave prediction model (Simulated WAves Nearshore - SWAN), which is one of the most popular numerical wave models and has been widely used for estimating ocean waves. The model was forced with the ECMWF ERA Interim wind fields and applied with a spatial resolution of about 0.0167°. ×. 0.0167° and a model time step of 6. h to resolve efficiently offshore and nearshore wave conditions. The results were presented in the form of charts of the spatial distribution of significant wave height and wave power, on a monthly, seasonal and annual basis. Annual energy was calculated in the study region with the hindcast data set covering 15. years (1995-2009). The areas with the highest wave energy resource were determined and the south west coasts of the Black Sea are suggested as the best site for the installation of a wave farm. It was determined the western parts of the Black Sea (especially the south-west) are exposed to energetic waves more than the eastern parts.

  • 
  • 
  • 
  İncele
• MakaleYalnız künye2012/r/gumushane/10390
  Evaluation of the numerical wave model (SWAN) for wave simulation in the Black Sea

  Akpinar, Adem; van Vledder, Gerbrant Ph.; Kömürcü, Murat Ihsan; Özger, Mehmet

  This study summaries the implementation of the SWAN model forced by the ECMWF ERA Interim dataset reanalyzed 10 m winds over the Black Sea which will be used to study the wind-wave climate and wave energy potential in the region, and its verification. The SWAN model results were compared with directional buoy measurements at three locations along the north and south coasts of the Black Sea, parametric model results based on the JONSWAP growth relations, and the results of previous studies. The SWAN model has been applied in a third generation and non-stationary mode with spherical coordinates. The linear and exponential growth from wind input, depth-induced wave breaking, bottom friction, whitecapping, four-wave (for deep water) and triad-wave (for shallow water) nonlinear interactions have been activated in the simulations. The results of this study indicate that agreement between simulated and observed wave parameters is satisfactory and it is slightly more accurate than the results of the previous studies. However, it still has lower estimates for the maximum values of both wave parameters. These lower estimates are probably due to too low wind speeds in the applied ECMWF wind fields, which is probably caused by orographic effects, and due to the relatively course resolution in time and space of the ECMWF (ERA-Interim) wind fields for the Black Sea. (C) 2012 Elsevier Ltd. All rights reserved.

  • 
  • 
  İncele