This paper addresses the problem of optimal placement of wind turbines in a farm on Gokçeada Island located at the north‐east of Aegean Sea bearing full potential of wind energy generation. A multi‐objective genetic algorithm approach is employed to obtain optimal placement of wind turbines by maximizing the power production capacity while constraining the budget of installed turbines. Considering the speed and direction history, wind with constant intensity from a single direction is used during optimization. This study is based on wake deficit model mainly because of its simplicity, accuracy and fast calculation time. The individuals of the Pareto optimal solution set are evaluated with respect to various criteria, and the best configurations are presented. In addition to best placement layouts, results include objective function values, total power output, cost and number of turbines for each configuration. Copyright © 2009 John Wiley & Sons, Ltd.

Geothermal energy is counted as one of the most significant renewable energy sources and currently in use for electric generation at many locations around the world. Turkey enjoys being seventh place in the world for geothermal resources and fifth place in direct use as the space and district heating. Geothermal resources are mainly located in western region in Turkey and there exists only one 20.4 MWe flash steam type power plant located at Kızıldere, Denizli. Since more Geothermal power plants are to be built under the cover of renewable energy incentives, efficient, and feasible technologies need to be investigated. As such, the purpose of this study is to demonstrate that Organic Rankine Cycle can be more efficient for the electric energy generation compared with the flash steam power plant currently in use at Kızıldere. Exergy analysis has been proven to be a powerful tool for evaluating thermodynamic efficiencies and losses for the thermal processes. Furthermore, exergy analysis provides a proper tool for optimum operation and design of complex thermal systems such as geothermal power plant. In this study, for the efficiency measure, the exergy analysis of the Organic Rankine Cycle is performed with four different working fluids. Exergy losses are calculated for each component of the Organic Rankine Cycle and the results are presented in tables. Isobutene, among others, has been found as the most efficient functioning fluid for the power plant in concern. © 2012 American Institute of Chemical Engineers Environ Prog, 32: 830–836, 2013

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Purpose This paper aims to present the results of energy management and optimization studies in one Turkish textile factory. In a case study of a print and dye factory in Istanbul, the authors identified energy-sensitive processes and proposed energy management applications. Design/methodology/approach Appropriate energy management methods have been implemented in the factory, and the results were examined in terms of energy efficiency and cost reduction. Findings By applying the methods for fuel distribution optimization, the authors demonstrated that energy costs could be decreased by approximately. Originality/value Energy management is a vital issue for industries particularly in developing countries such as Turkey. Turkey is an energy poor country and imports more than half of its energy to satisfy its increasing domestic demands. An important share of these demands stems from the presence of a strong textile industry that operates throughout the country.