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    Efficiency of L-DOPA+TiO2 modified RO membrane on salinity gradient energy generation by pressure retarded osmosis
    (Pamukkale Univ, 2024) Ates, Nuray; Saki, Seda; Gokcek, Murat; Uzal, Nigmet
    Harvesting energy from the salinity gradient of seawater and river water using pressure retarded osmosis (PRO) has been a major research topic of recent years. However, there is a need for efficient PRO membranes that can generate high power density and are pressure resistant, as the performance of current membranes on the market is poor. In this study, specific energy potential of PRO process using LDOPA+TiO2 modified BW30-LE membrane was evaluated on synthetic and real water samples. Polyamide BW30-LE RO membrane was modified by L-DOPA, L-DOPA+0.5 wt% TiO2 and L-DOPA+1 wt% TiO2. The effect of hydraulic pressure and temperature on generation of power density were evaluated for 5, 10, and 15 bar pressures, as well as 10 degrees C, 20 degrees C, and 30 degrees C degrees. The incorporation of TiO2 nanoparticles with L-DOPA increased the water flux by increasing the surface hydrophilicity and roughness of the membrane surface. The maximum specific power was observed as 1.6 W/m(2) for L-DOPA+1 wt% TiO2 modified BW30-LE membrane at 15 bar pressure. Besides, Mediterranean and Aegean, Black Sea water samples were used as draw solution and Seyhan, Ceyhan, Buyuk Menderes, Gediz, Yesilirmak, and Kizilirmak Rivers were used as feed solution. The highest osmotic power density was obtained by using L-DOPA+1 wt% TiO2 modified BW30-LE membrane with Ceyhan River as feed and Mediterranean Sea water as draw solution, which have the highest differences in salinity. In the mixture of Mediterranean and Ceyhan River, the highest power density was obtained at 10 bar pressure at 30 +/- 5 degrees C with 0.70 W/m(2).
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    Sustainable waste management system and reverse logistic network design in plastic industry: A case study of Turkey
    (IGI Global, 2013) Aydogan, Emel Kizilkaya; Uzal, Nigmet; Ates, Nuray; Zaral, Fulya; Papajorgji, Petraq
    The shortage of natural sources and the threat of the bad trend have forced the industries to find environmentally- friendly alternatives and ecological approaches in their production line. In some countries, regulations have been issued for industries about this subject. Due to these reasons and more of them, logistic firms have been forced to take into consideration decreasing material and energy consumption and minimizing waste production in planning their network designs. In practice, it might be necessary to simultaneously optimize more than one conflicting objective to obtain effective and realistic solutions. In this chapter, current logistics network design of a plastic industry in Turkey has been investigated and reverse logistics network design has been developed to minimize waste production and to achieve green production. This chapter presents a mathematical model which is a fuzzy goal programming model for imprecise goals for reverse logistic network design with multiple objectives in plastic sector. The considered objectives are to reduce cost in reverse logistics, to improve product quality, and to provide environmental benefits by minimizing waste production. © 2014, IGI Global.