The Experts below are selected from a list of 163194 Experts worldwide ranked by ideXlab platform

Blanka Bartok - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of Renewable Energy Sources in peripheral areas and Renewable Energy-based rural development
    Renewable & Sustainable Energy Reviews, 2018
    Co-Authors: József Benedek, Tihamér-tibor Sebestyén, Blanka Bartok
    Abstract:

    Abstract The context and background of this study are based on the growing role of policy-driven Renewable Energy Sources in improving Energy security, protecting the climate, and encouraging economic development. In many cases, these high expectations are undermined by the lack of an integrated methodology for the measurement of Renewable Energy potential. Therefore, we assumed as the main hypothesis, the possibility of developing a complex and integrated evaluation methodology for Renewable Energy potential. Accordingly, we employed evaluation methods based on mapping techniques, simulation software for wind farms, and the analytical tools offered by the Geographical Information System. The main novelty of this study is related to the integration of three Renewable Energy Sources (biomass, solar, and wind) and the respective measurement of their total Renewable Energy potential. The main results of the study consist of the estimation of three main Renewable Energy Sources—solar, wind, and biomass Energy—and the generation of maps showing the potential for solar, wind, and integrated biomass Energy at a high spatial resolution. In addition, we have measured and mapped the total Renewable Energy potential available for supplying the local Energy demand. The Renewable Energy potential maps, combined with a multidimensional index expressing the development level of localities, are good predictors of appropriate locations for the development of Renewable Energy source-based facilities. The study concludes with recommendations towards the use of the Renewable Energy potential maps as criteria for project allocation in future for Renewable-based rural development, in order to achieve a more balanced regional development.

  • Evaluation of Renewable Energy Sources in peripheral areas and Renewable Energy-based rural development
    Renewable and Sustainable Energy Reviews, 2018
    Co-Authors: József Benedek, Tihamér-tibor Sebestyén, Blanka Bartok
    Abstract:

    The context and background of this study are based on the growing role of policy-driven Renewable Energy Sources in improving Energy security, protecting the climate, and encouraging economic development. In many cases, these high expectations are undermined by the lack of an integrated methodology for the measurement of Renewable Energy potential. Therefore, we assumed as the main hypothesis, the possibility of developing a complex and integrated evaluation methodology for Renewable Energy potential. Accordingly, we employed evaluation methods based on mapping techniques, simulation software for wind farms, and the analytical tools offered by the Geographical Information System. The main novelty of this study is related to the integration of three Renewable Energy Sources (biomass, solar, and wind) and the respective measurement of their total Renewable Energy potential.

József Benedek - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of Renewable Energy Sources in peripheral areas and Renewable Energy-based rural development
    Renewable & Sustainable Energy Reviews, 2018
    Co-Authors: József Benedek, Tihamér-tibor Sebestyén, Blanka Bartok
    Abstract:

    Abstract The context and background of this study are based on the growing role of policy-driven Renewable Energy Sources in improving Energy security, protecting the climate, and encouraging economic development. In many cases, these high expectations are undermined by the lack of an integrated methodology for the measurement of Renewable Energy potential. Therefore, we assumed as the main hypothesis, the possibility of developing a complex and integrated evaluation methodology for Renewable Energy potential. Accordingly, we employed evaluation methods based on mapping techniques, simulation software for wind farms, and the analytical tools offered by the Geographical Information System. The main novelty of this study is related to the integration of three Renewable Energy Sources (biomass, solar, and wind) and the respective measurement of their total Renewable Energy potential. The main results of the study consist of the estimation of three main Renewable Energy Sources—solar, wind, and biomass Energy—and the generation of maps showing the potential for solar, wind, and integrated biomass Energy at a high spatial resolution. In addition, we have measured and mapped the total Renewable Energy potential available for supplying the local Energy demand. The Renewable Energy potential maps, combined with a multidimensional index expressing the development level of localities, are good predictors of appropriate locations for the development of Renewable Energy source-based facilities. The study concludes with recommendations towards the use of the Renewable Energy potential maps as criteria for project allocation in future for Renewable-based rural development, in order to achieve a more balanced regional development.

  • Evaluation of Renewable Energy Sources in peripheral areas and Renewable Energy-based rural development
    Renewable and Sustainable Energy Reviews, 2018
    Co-Authors: József Benedek, Tihamér-tibor Sebestyén, Blanka Bartok
    Abstract:

    The context and background of this study are based on the growing role of policy-driven Renewable Energy Sources in improving Energy security, protecting the climate, and encouraging economic development. In many cases, these high expectations are undermined by the lack of an integrated methodology for the measurement of Renewable Energy potential. Therefore, we assumed as the main hypothesis, the possibility of developing a complex and integrated evaluation methodology for Renewable Energy potential. Accordingly, we employed evaluation methods based on mapping techniques, simulation software for wind farms, and the analytical tools offered by the Geographical Information System. The main novelty of this study is related to the integration of three Renewable Energy Sources (biomass, solar, and wind) and the respective measurement of their total Renewable Energy potential.

Tihamér-tibor Sebestyén - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of Renewable Energy Sources in peripheral areas and Renewable Energy-based rural development
    Renewable & Sustainable Energy Reviews, 2018
    Co-Authors: József Benedek, Tihamér-tibor Sebestyén, Blanka Bartok
    Abstract:

    Abstract The context and background of this study are based on the growing role of policy-driven Renewable Energy Sources in improving Energy security, protecting the climate, and encouraging economic development. In many cases, these high expectations are undermined by the lack of an integrated methodology for the measurement of Renewable Energy potential. Therefore, we assumed as the main hypothesis, the possibility of developing a complex and integrated evaluation methodology for Renewable Energy potential. Accordingly, we employed evaluation methods based on mapping techniques, simulation software for wind farms, and the analytical tools offered by the Geographical Information System. The main novelty of this study is related to the integration of three Renewable Energy Sources (biomass, solar, and wind) and the respective measurement of their total Renewable Energy potential. The main results of the study consist of the estimation of three main Renewable Energy Sources—solar, wind, and biomass Energy—and the generation of maps showing the potential for solar, wind, and integrated biomass Energy at a high spatial resolution. In addition, we have measured and mapped the total Renewable Energy potential available for supplying the local Energy demand. The Renewable Energy potential maps, combined with a multidimensional index expressing the development level of localities, are good predictors of appropriate locations for the development of Renewable Energy source-based facilities. The study concludes with recommendations towards the use of the Renewable Energy potential maps as criteria for project allocation in future for Renewable-based rural development, in order to achieve a more balanced regional development.

  • Evaluation of Renewable Energy Sources in peripheral areas and Renewable Energy-based rural development
    Renewable and Sustainable Energy Reviews, 2018
    Co-Authors: József Benedek, Tihamér-tibor Sebestyén, Blanka Bartok
    Abstract:

    The context and background of this study are based on the growing role of policy-driven Renewable Energy Sources in improving Energy security, protecting the climate, and encouraging economic development. In many cases, these high expectations are undermined by the lack of an integrated methodology for the measurement of Renewable Energy potential. Therefore, we assumed as the main hypothesis, the possibility of developing a complex and integrated evaluation methodology for Renewable Energy potential. Accordingly, we employed evaluation methods based on mapping techniques, simulation software for wind farms, and the analytical tools offered by the Geographical Information System. The main novelty of this study is related to the integration of three Renewable Energy Sources (biomass, solar, and wind) and the respective measurement of their total Renewable Energy potential.

Tao Tang - One of the best experts on this subject based on the ideXlab platform.

  • optimal charging control for electric vehicles in smart microgrids with Renewable Energy Sources
    Vehicular Technology Conference, 2012
    Co-Authors: Li Zhu, Bin Ning, Tao Tang
    Abstract:

    There is growing interest in plug-in electric vehicles (EVs). Charging EVs from smart microgrids fueled by Renewable Energy reSources is becoming a popular green approach. Although some works have been done about Renewable Energy Sources and EVs in smart microgrids, the stochastic characteristics and the dynamic interplay between these two important green solutions should be carefully considered. In this paper, we study the charging policies in smart microgrids with EVs and Renewable Energy Sources. Based on the Renewable Energy Sources states, battery states, and the number of charging EVs, an optimal charging policy is obtained to maximize the Energy utilization with service availability constraints. We formulate the optimal charging problem as a stochastic decision process. Simulation results are presented to show that the proposed scheme can improve the service availability for EVs in microgrids fueled by Renewable Energy Sources.

  • stochastic charging management for plug in electric vehicles in smart microgrids fueled by Renewable Energy Sources
    2011 IEEE Online Conference on Green Communications, 2011
    Co-Authors: Li Zhu, Bin Ning, Tao Tang
    Abstract:

    Charging electric vehicles (EVs) from smart microgrids fueled by Renewable Energy reSources is becoming a popular green approach. Although some works have been done about Renewable Energy Sources and EVs in smart microgrids, the stochastic characteristics and the dynamic interplay between these two important green solutions should be carefully considered. Furthermore, one of the important performance metrics, service availability for EVs, is largely ignored in the existing works. In this paper, we study the charging policies in smart microgrids with EVs and Renewable Energy Sources. We analyze service availability under different charging policies. Numerical results are presented to show the performance of different charging policies.

Alagan Anpalagan - One of the best experts on this subject based on the ideXlab platform.

  • Resource management in cellular base stations powered by Renewable Energy Sources
    Journal of Network and Computer Applications, 2018
    Co-Authors: Faran Ahmed, Muhammad Naeem, Waleed Ejaz, Muhammad Iqbal, Alagan Anpalagan
    Abstract:

    Abstract This paper aims to consolidate the work carried out in making base station (BS) green and Energy efficient by integrating Renewable Energy Sources (RES). Clean and green technologies are mandatory for reduction of carbon footprint in future cellular networks. RES, especially solar and wind, are emerging as a viable alternate to fossil fuel based Energy, which is the main cause of climate pollution. With advances in technologies, Renewable Energy is making inroads into all sectors including information and communication technologies (ICT). The main contributors of Energy consumption in ICT sector are ’data centers' and ’cellular networks'. In cellular networks the BS is the main consumer of Energy, mostly powered by the utility and a diesel generator. This Energy comes at a significant operating cost as well as the environmental cost in terms of harmful greenhouse gas (GHG) emissions. Recent research shows that powering BSs with Renewable Energy is technically feasible. Although installation cost of Energy from non-Renewable fuel is still lower than RES, optimized use of the two Sources can yield the best results. This paper presents a comprehensive overview of resource management in cellular BSs powered by RES and an in-depth analysis of power consumption optimization in order to reduce both cost and GHGs. Renewable Energy Sources are not only feasible for a stand-alone or off-grid BSs, but also feasible for on-grid BSs. This paper covers different aspects of optimization in cellular networks to provide reader with a holistic view of concepts, directions, and advancements in Renewable Energy based systems incorporated in cellular communications. Energy management strategies are studied in the realm of smart grids and other technologies, increasing the possibilities for Energy efficiency further by employing schemes such as ‘Energy cooperation’. Finally, the paper supports the move towards green communication in order to contribute positively towards climate change.