Reducing the cost of wind resource assessment: using a regional wind power forecasting method for assessment

2021-03-01
Ozkan, Mehmet Baris
Karagöz, Pınar
Show full item record
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
158
views
0
downloads
Wind energy, with its high potential, has an important place among renewable energy sources. Therefore, the number of investments on wind energy is increasing with new turbine technologies and solutions. For the investors of these technologies, how to determine the location of wind turbines for such investments is a challenging and critical problem. Wind maps of the country are a useful resource to determine high potential locations. However, such maps often present an overview to provide the general picture, and there is a need for a more detailed analysis, specifically on the potential plant area. In this paper, we investigate the use of a recent regional wind power forecast method to determine the wind power potential. By applying the RegionalSHWIP on a potential plant area, investors can obtain the preliminary power prediction, hence the wind potential of the area, without any financial cost recurring for measurements and with negligible manhour for computation. The wind resource assessments of the RegionalSHWIP have been analyzed in comparison to the wind maps of four provinces from different regions of Turkey. In all of these test provinces, it has been observed that the model produces results compatible with the values in the wind potential atlas. In addition, the proposed model has been run on 16 online power plants by selecting 4 different real wind power plants from each province, pretending that these power plants are offline. It has been observed that the total MWh values obtained from the actual generation of these power plants and the total MWh values obtained by estimation are also compatible and the results have been found to support the model.
https://hdl.handle.net/11511/89478
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
Department of Computer Engineering, Article

Suggestions

Reducing the cost of electric transmission and distribution systems with wind generation by means of energy storage and demand side management
Bildirici, Mert; Keysan, Ozan; Department of Electrical and Electronics Engineering (2018)
Today, wind energy is the most popular renewable energy source and share of wind generation in overall electric power generation is expected to grow significantly for the next years. Considering this increase, energy balance problem will become harder to achieve due to unpredictable and varying nature of wind power. In order to handle with the negative impacts of wind power, it is essential to provide flexibility to power systems. This thesis focuses on the transmission system upgrade deferral for a hypothe...
Assessing the effects of wind farms on soil organic carbon.
Pekkan, Ozge Isik; Şenyel Kürkçüoğlu, Müzeyyen Anıl; Cabuk, Saye Nihan; Aksoy, Talha; Yilmazel, Burcu; Kucukpehlivan, Tuncay; Dabanli, Ahmet; Cabuk, Alper; Cetin, Mehmet (Springer Science and Business Media LLC, 2021-01-06)
Wind energy is considered one of the cleanest and most sustainable resources among renewable energy sources. However, several negative environmental impacts can be observed, unless suitable sites are selected for the establishment of wind farms. The aim of this study is to determine the change in the soil organic carbon (SOC) stock resulting from land cover changes that were caused by wind farm establishments in the Karaburun peninsula. Within the scope of the study, remote sensing and geographic informatio...
Improved wind power forecasting using combination methods
Köksoy, Ceyda Er; Birtürk, Ayşe Nur; Karagöz, Pınar; Department of Computer Engineering (2015)
Wind is an important renewable energy source to produce electricity thanks to its reliable, omnipresent and economically feasible characteristics and it has a growing proportion in overall energy production worldwide. However, integration of the generated wind power into the existing transmission grid is an issue due to inherently volatile and intermittent behavior of wind. Moreover, the power plant owners need reliable information about day-ahead power production for market operations. Therefore, wind powe...
Probabilistic Wind Power Forecasting by Using Quantile Regression Analysis
Ozkan, Mehmet Baris; Guvengir, Umut; Kucuk, Dilek; Secen, Ali Unver; Buhan, Serkan; Demirci, Turhan; Bestil, Abdullah; Er, Ceyda; Karagöz, Pınar (2017-09-22)
Effective use of renewable energy sources, and in particular wind energy, is of paramount importance. Compared to other renewable energy sources, wind is so fluctuating that it must be integrated to the electricity grid in a planned way. Wind power forecast methods have an important role in this integration. These methods can be broadly classified as point wind power forecasting or probabilistic wind power forecasting methods. The point forecasting methods are more deterministic and they are concerned with ...
Enhancing Performance of Solar Cells via Wavefront Shaping
Atila, Sena; Yüce, Emre; Department of Micro and Nanotechnology (2022-8-25)
Solar energy has a great potential to provide for our energy demand. However, due to the broadband nature of the Sun, solar cells encounter efficiency losses. For singlejunction GaAs solar cells, the efficiency is measured as 27.6% at most [1]. Previously, the broadband light is experimentally split and concentrated to chosen positions on the CCD camera as three sub-bands to utilize the full spectrum of the Sun, and a particular type of diffractive optical element (SpliCon) is obtained [2]. In this thesis,...
Citation Formats
M. B. Ozkan and P. Karagöz, “Reducing the cost of wind resource assessment: using a regional wind power forecasting method for assessment,” INTERNATIONAL JOURNAL OF ENERGY RESEARCH, pp. 0–0, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/89478.
METU IIS - Integrated Information Service open@metu.edu.tr