Yazar "Midilli, A." seçeneğine göre listele

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    Artificial neural network analysis of world green energy use
    (ELSEVIER SCI LTD, 2007) Ermis, K.; Midilli, A.; Dincer, I.; Rosen, M. A.
    This paper focuses on the analysis of world green energy consumption through artificial neural networks (ANN). In addition, the consumption is also analyzed of world primary energy including fossil fuels such as coal, oil and natural gas. A feed-forward back-propagation ANN is used for training and learning processes by taking into consideration data from the literature of world energy consumption front 1965 to 2004. Also, an ANN approach for forecasting world green energy consumption to the year 2050 is presented, and the consumption equations for different energy sources are derived. The environmental aspects of green energy and fossil fuels are discussed in detail. The resulting ANN-based equation curve profiles verify that the available economic reserves of fossil fuel resources are limited, and become "depleted" in the near future. It is expected that world green energy consumption will reach almost 62.74 EJ by 2010, and be on average 32.29% of total energy use between 2005 and 2025. However, world green energy and natural gas consumption will continue increasing after 2050, while world oil and coal consumption are expected to remain relatively stable after 2025 and 2045, respectively. The ANN approach appears to be a suitable method for forecasting energy consumption data, should be utilized in efforts to model world energy consumption. (c) 2006 Elsevier Ltd. All rights reserved.
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    The role and future benefits of green energy
    (TAYLOR & FRANCIS INC, 2007) Midilli, A.; Dincer, I.; Rosen, M. A.
    The relations between green energy-based sustainability and global stability are investigated, with a focus on the role of green energy in achieving sustainable development and global stability. Considering global unrest, global stability, green energy impact ratio and green energy-based sustainability ratio, a parametric study is performed using actual data from the literature. Some illustrative examples are presented and discussed. The results indicate that the negative effects on industrial, technological, sectoral and social development partially or completely decrease through use of green energy and technologies. To increase the green energy-based sustainability ratio and to reduce global unrest levels, the utilization of fossil fuels should be limited or reduced, and a transition to green energy-based technologies should be accelerated. This includes having governments and other authorities encourage investments in green energy and replacements of fossil fuels with more environmentally benign ones.
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    Thermodynamic modelling of a proton exchange membrane fuel cell
    (INDERSCIENCE ENTERPRISES LTD, 2006) Ay, M.; Midilli, A.
    This paper presents the thermodynamic modelling of a proton exchange membrane (PEM) fuel cell at various operating conditions through energy and exergy analyses. In addition, the correlations and equations available in literature were used to determine thermodynamic irreversibilities in the PEM fuel cell at different operating conditions such as cell temperature, pressures of anode and cathode, current density, and membrane thickness as a design parameter. In accordance with the practical conditions, it is considered that the anode and cathode pressures range from 3 to 5 atm; cell temperature from 50 to 80 degrees C. Also, the membrane thickness is chosen as 0.016, 0.018 and 0.02 cm, respectively. Depending on these data, thermodynamic irreversibilities throughout PEM fuel cell operation are estimated and discussed in detail. Consequently, it is found that thermodynamic irreversibilities in fuel cell increased with a rise of membrane thickness and with a decrease of the cell temperature and pressure.