Wind Energy Potential

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Cumali Ilkilic - One of the best experts on this subject based on the ideXlab platform.

  • Wind Energy and assessment of Wind Energy Potential in turkey
    Renewable & Sustainable Energy Reviews, 2012
    Co-Authors: Cumali Ilkilic
    Abstract:

    In this study, the Potential of Wind Energy and assessment of Wind Energy systems in Turkey were studied. The main purpose of this study is to investigate the Wind Energy Potential and future Wind conversion systems project in Turkey. The Wind Energy Potential of various regions was investigated; and the exploitation of the Wind Energy in Turkey was discussed. Various regions were analyzed taking into account the Wind data measured as hourly time series in the Windy locations. The Wind data used in this study were taken from Electrical Power Resources Survey and Development Administration (EIEI) for the year 2010. This paper reviews the assessment of Wind Energy in Turkey as of the end of May 2010 including Wind Energy applications. Turkey's total theoretically available Potential for Wind power is around 131,756.40MW and sea Wind power 17,393.20MW annually, according to TUREB (TWEA). When Turkey has 1.5MW nominal installed Wind Energy capacity in 1998, then this capacity has increased to 1522.20MW in 2010. Wind power plant with a total capacity of 1522.20MW will be commissioned 2166.65MW in December 2011.

  • determination and utilization of Wind Energy Potential for turkey
    Renewable & Sustainable Energy Reviews, 2010
    Co-Authors: Cumali Ilkilic, Ismail Turkbay
    Abstract:

    In this study, Potential and development of Wind Energy systems in Turkey were studied. The Potential and current usage was reviewed. The objective of the study is to investigate the Wind Energy plants and projects in Turkey. The Wind Energy Potential of various regions and the exploitation of the Wind Energy were investigated by analyzing Wind data measured as hourly time series in the Windy locations. The Wind data used in this study were taken from Electrical Power Resources Survey and Development Administration (EIEI) for the year 2004. NurdagI, Karabiga, Datca, BandIrma, Antakya, Mardin, and Kumkoy areas were found to be the most suitable areas for Wind Energy systems by their Wind densities; Sinop, Gokceada, and Siverek are following these areas. The results indicate that the investigated sites have fairly satisfactory Wind Energy Potential for the utilization.

Lars Deckert - One of the best experts on this subject based on the ideXlab platform.

  • Designing an index for assessing Wind Energy Potential
    Renewable Energy, 2015
    Co-Authors: Matthias Ritter, Brenda López Cabrera, Martin Odening, Zhiwei Shen, Lars Deckert
    Abstract:

    To meet the increasing global demand for renewable Energy, such as Wind Energy, an increasing number of Wind parks are being constructed worldwide. Finding a suitable location requires a detailed and often costly analysis of local Wind conditions. Plain average Wind speed maps cannot provide a precise forecast of Wind power because of the non-linear relationship between Wind speed and production. We suggest a new approach to assess the local Wind Energy Potential. First, meteorological reanalysis data are applied to obtain long-term low-scale Wind speed data at specific turbine locations and hub heights. Second, the relation between Wind data and Energy production is determined via a five parameter logistic function using actual high-frequency Energy production data. The resulting Wind Energy index allows for a turbine-specific estimation of the expected Wind power at an unobserved location. A map of the Wind power Potential for Germany exemplifies our approach.

  • A New Approach to Assess Wind Energy Potential
    Energy Procedia, 2015
    Co-Authors: Matthias Ritter, B. López Cabrera, Martin Odening, Zhiwei Shen, Lars Deckert
    Abstract:

    To meet the increasing global demand for renewable Energy, such as Wind Energy, an increasing number of Wind parks are being constructed worldwide. Finding a suitable location requires a detailed and often costly analysis of local Wind conditions. Plain average Wind speed maps cannot provide a precise forecast of Wind power because of the non-linear relationship between Wind speed and production. We suggest a novel, globally feasible approach to assess the local Wind Energy Potential: First, meteorological reanalysis data are applied to obtain long-term low-scale Wind speed data at specific turbine locations and hub heights. Second, the relation between Wind data and Energy production is for the first time determined via a five parameter logistic function using actual high-frequency Energy production data. The resulting Wind Energy index allows for a turbine-specific estimation of the expected Wind power at an unobserved location. A map of the Wind power Potential for Germany exemplifies our approach.

S. Leitão - One of the best experts on this subject based on the ideXlab platform.

  • Wind Energy Potential of the Trás-os-Montes Region, Northeast of Portugal
    World Renewable Energy Congress VI, 2007
    Co-Authors: M. Cordeiro, António Valente, S. Leitão
    Abstract:

    Publisher Summary This chapter deals with Wind Energy Potential of the TRAS–OS–MONTES region, Northeast of Portugal. This chapter has as main objective to present the study on the Wind Energy Potential and has been developed in the region of TRAS–OS–MONTES and Alto Douro, in the Northeast of Portugal. To have an adequate characterization of Wind Energy Potential are measured the Wind speed and Wind direction in several places. Other projects refer that this region has a great Potential in the field of renewable energies. From the analysis of the data collected, it seems that Wind Energy in Marao and Alwao mountains is one of the renewable energies with interest. Finally, the conclusions to be extracted from this data should lead to the characterization of the Wind Potential in this area, focusing in the installable power and economic viability for the installation of Wind parks. With the data available at this moment it is possible to identify some places with adequate Wind Potential.

  • Wind Energy Potential of the region of Trás-os-Montes and Alto Douro, Portugal
    Renewable Energy, 1999
    Co-Authors: M. Cordeiro, António Valente, S. Leitão
    Abstract:

    The main objective of this paper is to present a study on the Wind Energy Potential that is being developed in the Region of Tras-os-Montes and Alto Douro. This study started in July 1996 and will continue until the end of 1998.

Ramazan Kose - One of the best experts on this subject based on the ideXlab platform.

  • an evaluation of Wind Energy Potential as a power generation source in kutahya turkey
    Energy Conversion and Management, 2004
    Co-Authors: Ramazan Kose
    Abstract:

    Continuing to use fossil fuels is bound to pollute the atmosphere, and consequently, unwanted greenhouse and climate change effects will come to dominate every part of the earth. It is, therefore, advisable to exploit clean Energy resources for many nations in the world to try to keep their environment friendly, such as Wind Energy. Hence, it is necessary to determine to start the immediate usage of the Wind Energy Potential and the investigation of the necessary techniques and economic feasibility in every country. In this study, the possible Wind Energy Potential has been investigated in Kutahya, Turkey. In this regard, a Wind observation station was established at the Dumlupinar University Main Campus, and it is examining the possible electrical power that can be generated by the Wind. The data collected in this observation station between the dates of July 1, 2001 and February 28, 2003 were evaluated via the CALLaLOG 98 and ALWIN package softwares. Inside the observatory field, the measured average Wind speed for a period of 20 months is 4.62 m/s for a 30 m height, while the Energy density is 36.62 W/m2. Values from the established measurements are searched to determine whether electricity can be produced from the Wind Energy. The mean Wind speed does not provide economical electricity production from the Wind Energy, and the measurements should be evaluated in the long term in accordance with technological developments and reduction in the cost of turbines.

  • the analysis of Wind data and Wind Energy Potential in kutahya turkey
    Renewable & Sustainable Energy Reviews, 2004
    Co-Authors: Ramazan Kose, Arif M Ozgur, Oguzhan Erbas, Abtullah Tugcu
    Abstract:

    The Wind Energy is one of the most significant and rapidly developing renewable Energy sources in the world and it provides a clean Energy resource, which is a promising alternative in the short term in Turkey. The Wind Energy Potential in various parts of Turkey is becoming economical due to reductions in the Wind turbine costs, and in fossil fuel atmospheric pollution. Because of this, it is necessary to make use of this resource immediately and start conducting the required technical and economical feasibility research. The main purpose of this paper is to present, in brief, Wind Potential in Turkey and to perform an investigation on the Wind Energy Potential of Kutahya. Therefore, in this study, a Wind observation station was established at Dumlupinar University Main Campus in order to figure out the Wind Energy Potential in the province. Topographical and Wind speed measurement data have been collected as a first step. The Wind speed has been measured at the 10th and 30th meters of the measurement mast for 20 months. The data collected in this observation station between July 2001 and February 2003 have been evaluated via CALLaLOG 98 and ALWIN software programs. The Wind Energy Potential of the location has been studied based on the Weibull and the Rayleigh models. Weibull approximation was found to be better than that of Rayleigh model.

Matthias Ritter - One of the best experts on this subject based on the ideXlab platform.

  • Designing an index for assessing Wind Energy Potential
    Renewable Energy, 2015
    Co-Authors: Matthias Ritter, Brenda López Cabrera, Martin Odening, Zhiwei Shen, Lars Deckert
    Abstract:

    To meet the increasing global demand for renewable Energy, such as Wind Energy, an increasing number of Wind parks are being constructed worldwide. Finding a suitable location requires a detailed and often costly analysis of local Wind conditions. Plain average Wind speed maps cannot provide a precise forecast of Wind power because of the non-linear relationship between Wind speed and production. We suggest a new approach to assess the local Wind Energy Potential. First, meteorological reanalysis data are applied to obtain long-term low-scale Wind speed data at specific turbine locations and hub heights. Second, the relation between Wind data and Energy production is determined via a five parameter logistic function using actual high-frequency Energy production data. The resulting Wind Energy index allows for a turbine-specific estimation of the expected Wind power at an unobserved location. A map of the Wind power Potential for Germany exemplifies our approach.

  • A New Approach to Assess Wind Energy Potential
    Energy Procedia, 2015
    Co-Authors: Matthias Ritter, B. López Cabrera, Martin Odening, Zhiwei Shen, Lars Deckert
    Abstract:

    To meet the increasing global demand for renewable Energy, such as Wind Energy, an increasing number of Wind parks are being constructed worldwide. Finding a suitable location requires a detailed and often costly analysis of local Wind conditions. Plain average Wind speed maps cannot provide a precise forecast of Wind power because of the non-linear relationship between Wind speed and production. We suggest a novel, globally feasible approach to assess the local Wind Energy Potential: First, meteorological reanalysis data are applied to obtain long-term low-scale Wind speed data at specific turbine locations and hub heights. Second, the relation between Wind data and Energy production is for the first time determined via a five parameter logistic function using actual high-frequency Energy production data. The resulting Wind Energy index allows for a turbine-specific estimation of the expected Wind power at an unobserved location. A map of the Wind power Potential for Germany exemplifies our approach.