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    Energy management and optimization: case study of a textile plant in Istanbul, Turkey
    (Emerald Group Publishing Ltd, 2016) Tunc, Murat; Kaplan, Kayhan; Sisbot, Sedat; Camdali, Unal
    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.
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    Optimal Domestic Solar Space and Water Heating System in Cesme
    (Int Journal Renewable Energy Research, 2017) Tunc, Murat; Camdali, Unal
    Solar hot water and space heating systems have been an important energy conservation technique in buildings, along with improving insulation efficiency of building envelopes and HVAC systems. According to statistical data from EU, installations of solar hot water heating systems have been increased gradually. The purpose of this study is to illustrate quantitatively the feasibility of optimal space and water heating system using solar energy. The house is assumed to be located in Cesme, Turkey, where 1304 kWh/m(2)-year of solar radiation for the period of 2734 h/year is measured. Considering the space heating and hot water demand in this geographic location, solar collector and storage capacity are optimized using f-Chart method. The results showed that a 92% of the total energy demand can be covered by solar energy.