Wastewater minimisation of industrial systems using an integrated approach

Alva-Argáez, Alberto; Kokossis, Antonis; Smith, Robin

doi:10.1016/s0098-1354(98)00138-0

Cited by 166 publications

(94 citation statements)

References 4 publications

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“…, M} Major applications of MIQCQP include quality blending in process networks, separating objects in computational geometry, and portfolio optimization in finance. Specific instantiations of MIQCQP in process networks optimization problems include: pooling problems [5,12,20,28,53,65,66,67,79,93,97,98,100,101,107,137,139], distillation sequences [8,54,58], wastewater treatment and total water systems [9,13,22,29,50,62,71,73,108,109], hybrid energy systems [23,24,49], heat exchanger networks [39,56], reactorseparator-recycle systems [75,76], separation systems [119], data reconciliation [115], batch processes [86], crude oil scheduling [78,80,81,104,103], and natural gas production [82,…”

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confidence: 99%

GloMIQO: Global mixed-integer quadratic optimizer

2012

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This paper introduces the Global Mixed-Integer Quadratic Optimizer, GloMIQO, a numerical solver addressing mixed-integer quadratically-constrained quadratic programs (MIQCQP) to ε-global optimality. The algorithmic components are presented for: reformulating user input, detecting special structure including convexity and edge-concavity, generating tight convex relaxations, partitioning the search space, bounding the variables, and finding good feasible solutions. To demonstrate the capacity of GloMIQO, we extensively tested its performance on a test suite of 399 problems of diverse size and structure. The test cases are taken from process networks applications, computational geometry problems, GLOBALLib, MINLPLib, and the Bonmin test set. We compare the performance of GloMIQO with respect to four state-of-the-art global optimization solvers: BARON 10.1.2,

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confidence: 99%

GloMIQO: Global mixed-integer quadratic optimizer

2012

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“…Water pinch analysis (WPA) was developed by Wang and Smith [34] by considering water inputs and outputs to and from unit processes as mass transfer fluxes of contaminants, to establish the minimum theoretical freshwater input required for a process chain. This method was further developed to incorporate water reuse/recycle opportunities [35] and graphically determine the minimum freshwater requirement [36]. Manan et al [37] devised a "water cascade" analysis to determine the freshwater target for continuous water-using processes, and Almatò et al [38] proposed a methodology to reduce freshwater consumption in batch process industries by introducing storage tanks for water reuse in time-dependent processes.…”

Section: Survey Of Water Reduction Toolsmentioning

confidence: 99%

A Concept of Water Usage Efficiency to Support Water Reduction in Manufacturing Industry

2016

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Abstract:Increasing pressures on freshwater supplies, continuity of supply uncertainties, and costs linked to legislative compliance, such as for wastewater treatment, are driving water use reduction up the agenda of manufacturing businesses. A survey is presented of current analysis methods and tools generally available to industry to analyze environmental impact of, and to manage, water use. These include life cycle analysis, water footprinting, strategic planning, water auditing, and process integration. It is identified that the methods surveyed do not provide insight into the operational requirements from individual process steps for water, instead taking such requirements as a given. We argue that such understanding is required for a proactive approach to long-term water usage reduction, in which sustainability is taken into account at the design stage for both process and product. As a first step to achieving this, we propose a concept of water usage efficiency which can be used to evaluate current and proposed processes and products. Three measures of efficiency are defined, supported by a framework of a detailed categorization and representation of water flows within a production system. The calculation of the efficiency measures is illustrated using the example of a tomato sauce production line. Finally, the elements required to create a useable tool based on the efficiency measures are discussed.

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“…7,8 Alva-Argáez et al 9,10 addressed the entire water management problem through superstructure-based mixed integer non-linear programming. Freitas et al 11 proposed the use of the hierarchical design approach, 12 supplemented with a database and expert system to determine the best sequence of treatment processes.…”

Section: Introductionmentioning

confidence: 99%

Optimum Design of Waste Water Treatment Network

Sahu

Garg

Majozi

et al. 2013

Ind. Eng. Chem. Res.

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Abstract:Various environmental regulations imply that it is important to minimize the cost associated with treatment of different industrial wastes prior to its discharge to the environment. In this paper an algebraic methodology, based on the principles of process integration, is proposed to target the minimum waste treatment flow rate to satisfy environmentally acceptable discharge limit. In the proposed methodology treatment units with fixed outlet concentrations are considered. It is observed that it is not necessary to maximize the usage of the treatment unit with the minimum specific cost. Hence, a prioritized cost for each treatment unit is devised to select appropriate treatment units that minimize the overall operating cost. Applicability of the proposed methodology is demonstrated through examples.

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Wastewater minimisation of industrial systems using an integrated approach

Cited by 166 publications

References 4 publications

GloMIQO: Global mixed-integer quadratic optimizer

GloMIQO: Global mixed-integer quadratic optimizer

A Concept of Water Usage Efficiency to Support Water Reduction in Manufacturing Industry

Optimum Design of Waste Water Treatment Network

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