A mathematical programming framework for early stage design of wastewater treatment plants |
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| Affiliation: | 1. The Petroleum and Petrochemical College, Chulalongkorn University, Soi Chulalongkorn 12, Phayathai Road, Pathumwan, Bangkok 10330, Thailand;2. CAPEC-PROCESS, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads, Building 229, DK-2800 Kgs. Lyngby, Denmark;1. Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València, Escuela Politécnica Superior de Alcoy, Plaza Ferrándiz y Carbonell, Alcoy, Spain;2. Hydraulic and Environmental Engineering Department, Universitat Politècnica de València, Camino de Vera s/n, Spain;1. Department of Computing and Automation, University of Salamanca, Salamanca, Spain;2. Department of Chemical Engineering, Norwegian University of Science and Technology, Trondheim, Norway;1. School of Earth and Space Sciences, University of Science & Technology of China, Hefei 230026, China;2. Department of Chemistry, University of Science & Technology of China, Hefei 230026, China;1. Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Francisco J. Múgica S/N, Edificio V1, Ciudad Universitaria, 58060 Morelia, Michoacán, Mexico;2. Chemical Engineering Department, Texas A&M University, 386 Spence St, Jack E. Brown Engineering Building, College Station, TX 77843, USA |
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| Abstract: | The increasing number of alternative wastewater treatment technologies and stricter effluent requirements make the optimal treatment process selection for wastewater treatment plant design a complicated problem. This task, defined as wastewater treatment process synthesis, is currently based on expert decisions and previous experiences. This paper proposes a new approach based on mathematical programming to manage the complexity of the problem. The approach generates/identifies novel and optimal wastewater treatment process selection, and the interconnection between unit operations to create a process flow diagram. Towards this end, a superstructure approach is used to represent the treatment alternatives for reaction and separation. A generic process interval model is used to describe each alternative in terms of input–output mass balances including conversion and separation factors. Next the design problem is formulated as a Mixed Integer (Non)linear Programming problem – MI(N)LP – and solved. A case study is formulated and solved to highlight the application of the framework. |
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| Keywords: | Design Modeling Superstructure optimization Wastewater treatment Process flow Interconnection |
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