Environmental Engineering / Çevre Mühendisliği

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  • Book Part
    Citation - Scopus: 3
    Biogas Production From Aquatic Biomass
    (Elsevier, 2022) Wieczorek, Nils; Kosheleva, Arina; Kuchta, Kerstin; Önen Çınar, Senem; Küçüker, Mehmet Ali
    The use of aquatic biomass such as algae, macrophytes, or submerged macrophytes as raw material for biogas production has numerous technical and biological advantages. In addition, synergy effects can be exploited taking into account the implementation of biogas systems in urban areas, and coupling between the production of aquatic biomass, biogas production, and urban material flows can be established. Aquatic biomass, which can be the residue of downstream processes or collected from water bodies in cities, represents an excellent opportunity for both material and energy needs. Anaerobic digestion is a widely implemented technology that is already proven for the treatment of various biomasses. Several studies showed that aquatic biomass is a valuable substrate with its high methane yield, especially codigestion processes. This chapter represents the main idea of the anaerobic digestion process while focusing on the features of the aquatic biomass applications in this process.
  • Book Part
    Citation - Scopus: 32
    Language of Response Surface Methodology as an Experimental Strategy for Electrochemical Wastewater Treatment Process Optimization
    (Elsevier, 2022) Gören, Ayşegül Yağmur; Recepoğlu, Yaşar Kemal; Khataee, Alireza
    The availability and accessibility to safe and secure water resources are the key technological and scientific concerns of global significance. As a result of water scarcity worldwide, wastewater treatment and reuse are considered viable options to replace freshwater resources in agricultural irrigation and domestic and industrial purposes. A significant need for clean water has promoted the invention and/or enhancement of several electrochemical wastewater treatment (EWT) processes. Optimization of the process variables plays a crucial role in wastewater treatment to enhance technology performance, considering removal efficiency, operating cost, and environmental impacts. These processes are fundamentally complex multivariable, and the optimization through conventional methods is unreliable, inflexible, and time- and material-consuming. In this perspective, response surface methodology (RSM) appears to be a beneficial statistical experimental strategy for the performance optimization of the EWT process. This model could be utilized for the optimization and analysis of the individual and/or combined effects of operational variables on the treatment process to improve the system performance. Furthermore, this model provides a number of information from a slight number of experimental trials. In this chapter, a summary and a discussion are presented on the RSM model used in the electrochemical wastewater treatment processes to overcome process crucial challenges toward the optimization and modeling of process parameters. It provides a potential model to enhance the various types of wastewater treatment process performance with effective optimization. Overall, it is described that the RSM model can be used in EWT processes to find the optimum conditions.