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Öğe Assessment of wind energy potential and optimal site selection for wind energy plant installations in Igdir/Turkey(Mdpi, 2024) Şahin, Gökhan; Koç, Ahmet; Doğan, Sülem Şenyiğit; van Sark, WilfriedWind energy is an eco-friendly, renewable, domestic, and infinite resource. These factors render the construction of wind turbines appealing to nations, prompting numerous governments to implement incentives to augment their installed capacity of wind turbines. Alongside augmenting the installed capacity of wind turbines, identifying suitable locations for their installation is crucial for optimizing turbine performance. This study aims to evaluate potential sites for wind power plant installation via a GIS, a mapping technique. The Analytic Hierarchy Process (AHP) was employed to assess the locations, including both quantitative and qualitative aspects that significantly impact the wind farm suitability map. Utilizing the GIS methodology, all datasets were examined through height and raster transformations of land surface temperature, plant density index, air pressure, humidity, wind speed, air temperature, land cover, solar radiation, aspect, slope, and topographical characteristics, resulting in the creation of a wind farm map. The correlation between the five-year meteorological data and environmental parameters (wind direction, daily wind speed, daily maximum and minimum air temperatures, daily relative humidity, daily average air temperature, solar radiation duration, daily cloud cover, air humidity, and air pressure) influencing the wind power plant in I & gbreve;d & imath;r province, including I & gbreve;d & imath;r Airport, Karakoyunlu, Aral & imath;k, and Tuzluca districts, was analyzed. If wind energy towers are installed at 1 km intervals across an area of roughly 858,180 hectares in Igdir province, an estimated 858,180 GWh of wind energy can be generated. The GIS-derived wind power plant map indicates that the installation sites for wind power plants are located in regions susceptible to wind erosion.Öğe Multi-criteria decision making for solar power - Wind power plant site selection using a GIS-intuitionistic fuzzy-based approach with an application in the Netherlands(Elsevier Ltd., 2024) Şahin, Gökhan; Koç, Ahmet; Sark, Wilfried vanThe development of a country cannot be realized only through the amount of energy it produces and its industrialization. In a country where its people are left homeless and poor, and its cultural and natural riches are destroyed, the electricity produced is not a measure of development on its own. Development and progress must be considered from a holistic perspective that includes the country's geographical structure, all its living creatures, culture, urban and social structure as a whole. In this respect, the transition to renewable energy is imperative. One of the most widely used renewable energies in the Netherlands is solar and wind energy. For these power plants, site selection is an important factor in reducing the installation cost of the wind and solar power plant and achieving maximum efficiency during operation. This paves the way for the study of a site selection problem. In this study, we first investigate possible locations for solar-wind power plant installation for 12 regions of the Netherlands, namely Noord Holland, Gelderland, Friesland, North Brabant, Drenthe, Groningen, Zeeland (Middelburg), Utrecht, Zuid Holland, Limburg, Over Ijssel and Flevoland, using GIS as a mapping method, and then apply a Intuitionistic fuzzy-based approach to the problem to obtain the optimal locations for both solar and wind energy. Furthermore, the results of two methods (GIS and Intuitionistic fuzzy-based approach) are compared to obtain more accurate results. The results show that 35317.2 km2 is suitable for solar power plant and 34844.5 km2 is suitable for wind turbine, but only 34875.8 km2 is suitable for solar-wind power plan installation.Öğe Multi-criteria solar power plant siting problem solution using a GIS-Taguchi loss function based interval type-2 fuzzy approach: The case of Kars Province/Turkey(Elsevier Ltd., 2024) Şahin, Gökhan; Akkuş, İbrahim; Koç, Ahmet; van Sark, WilfriedThe determination of the areas where the solar power plant will be installed is of great importance for the performance of the solar power plant. Solar and hydroelectric energy are the most widely used renewable energy sources in Kars province. Site selection for these power plants is an important factor in terms of reducing the installation cost of the solar power plant and achieving maximum efficiency during operation. Determining the areas where the power plants will be installed is a very complex and difficult to analyse spatial decision making problem. In this study, firstly GIS is used as a mapping method to obtain the locations of both solar power plants in Susuz, Arpaçay, Akkaya, Kars city centre, Selim, Digor, Kağızman and Sarıkamıș districts of Kars province and then Taguchi loss function based interval type-2 fuzzy approach is applied to the problem. In order to obtain more accurate results, the results of the two methods (GIS and Taguchi loss function based interval type-2 fuzzy approach) were also compared. According to the solar power plant map obtained, it was determined that the total area of suitable areas is 78600 km2.Öğe Multi?criteria of PV solar site selection problem using GIS?intuitionistic fuzzy based approach in Erzurum province/ Turkey(Nature Research, 2021) Türk, Seda; Koç, Ahmet; Şahin, GökhanRenewable energy sources have been placed as the key to facilitating to provide source of electricity generation. Solar power is one of the most preferable one among renewable energy sources due to the easy to generate in suitable environment. However, there are concerns with the location of solar power plants installation which causes low efficiency and ineffective use. Hence, determining the location for the usage of solar power sources is critical to mitigating those concerns. In addition, Turkey has been focused on investments on sustainable renewable energy sources and there are few studies which work on cities to reveal potential sources. In this study, GIS and intuitionistic fuzzy set based multi-criteria decision-making method is proposed for determining the most suitable areas for solar energy power plant potential site selection in Erzurum province, Turkey. Firstly, a solar energy power plant potential site selection map is made using a GIS program along with considering ecological risks and ecological criteria. Secondly, 20 districts of Erzurum are investigated in terms of 10 criteria (slope, aspect, solar irradiation, land use, wind speed, air temperature, air pressure, air humidity, land surface temperature and transmission line) using intuitionistic fuzzy sets. In these parameters the first time we looked the land use surface. The land use surface is affected the efficiency of the solar power plant. Finally, the comparisons of two methods are done to check consistency of results obtained. The results indicate that both approaches achieve same areas as the most suitable locations for solar power plants installations for Erzurum province in Turkey. The aim of this work is first to investigate possible locations for solar power plant installation using a mapping method, GIS, and then, Intuitionistic Fuzzy is applied to the problem to obtain optimum areas for solar energy. Also, more accurate results are provided comparing results of two methods, GIS and Intuitionistic Fuzzy. The results expose that 25,065.3 km(2) for solar power plant suitable for solar power plan installation.
