Simultaneous optimal integration of water utilization and heat exchange networks using holistic mathematical programming

Xiao, Wu; Zhou, Rui-Jie; Dong, Hongguang; Meng, Nan; Lin, Chih-Yao; Adi, Vincentius Surya Kurnia

doi:10.1007/s11814-009-0196-5

Cited by 11 publications

(3 citation statements)

References 23 publications

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“…Their usage in HIMAN synthesis problems requires additional assumptions and simplifications (e.g., not considering all water stream participating in heat exchange) in the hope of alleviating the computational burden of solving the superstructure of all possible opportunities. As an alternative to superstructure representation, the state-space representation of Bagajewicz et al [90] was addressed in synthesizing HIMANs by several authors [37,38,104,112,118]. The state-space representation contains the superstructure representation of HIMAN as a special case.…”

Section: Relaxation/transformationmentioning

confidence: 99%

Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features

2018

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Industries consume large quantities of energy and water in their processes which are often considered to be peripheral to the process operation. Energy is used to heat or cool water for process use; additionally, water is frequently used in production support or utility networks as steam or cooling water. This enunciates the interconnectedness of water and energy and illustrates the necessity of their simultaneous treatment to improve energy and resource efficiency in industrial processes. Since the seminal work of Savulescu and Smith in 1998 introducing a graphical approach, many authors have contributed to this field by proposing graphically-or optimization-based methodologies. The latter encourages development of mathematical superstructures encompassing all possible interconnections. While a large body of research has focused on improving the superstructure development, solution strategies to tackle such optimization problems have also received significant attention. The goal of the current article is to study the proposed methodologies with special focus on mathematical approaches, their key features and solution strategies. Following the convention of Jeżowski, solution strategies are categorized into: decomposition, sequential, simultaneous, meta-heuristics and a more novel strategy of relaxation/transformation. A detailed, feature-based review of all the main contributions has also been provided in two tables. Several gaps have been highlighted as future research directions.

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Section: Relaxation/transformationmentioning

confidence: 99%

Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features

2018

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“…In parallel to developing these Meta-heuristic: Over the past years, meta-heuristic techniques have emerged as promising techniques for solving problems in process integration approaches. Xiao et al (2009) used evolutionary strategies and manipulations as the last stage of their method for improving water and heat exchanger network configurations. Liu et al (2013) used a hybrid algorithm called genetic algorithm combined with simulated annealing developed previously by Yu et al (2000) for solving the combined water and energy problem.…”

Section: Solving Techniquesmentioning

confidence: 99%

A novel MILP approach for simultaneous optimization of water and energy: Application to a Canadian softwood Kraft pulping mill

Kermani

Périn-Levasseur

Benali

et al. 2017

Computers & Chemical Engineering

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Please cite this article as: Kermani, Maziar., Périn-Levasseur, Zoé., Benali, Marzouk., Savulescu, Luciana., & Maréchal, François., A novel MILP approach for simultaneous optimization of water and energy: Application to a Canadian softwood Kraft pulping mill.Computers and Chemical Engineering http://dx.doi.org/10. 1016/j.compchemeng.2016.11.043 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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“…Papalexandri and Pistikopoulos (1994) used Generalized Benders Decomposition method to solve the MINLP problem. Since 2000, several studies attempted to improve the initial framework proposed by Papalexandri and Pistikopoulos (1994) by reformulating the mathematical model and including additional components of the system and proposing new methods to solve the MINLP model such as generating random initial points and performing stochastic perturbations on the initial guesses (Dong et al 2008;Feng et al 2009;Xiao et al 2009). Manan et al (2009) proposed a new method for simultaneous water and energy minimization in process plants.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy, Water, Cost, and Greenhouse Gas Implications of Steam-Assisted Gravity Drainage Surface Facility Technologies

Forshomi

Carreon

Alva-Argáez

et al. 2017

Process Integr Optim Sustain

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This analysis explores the implications of technology options for steam-assisted gravity drainage (SAGD) surface facilities on cost, energy, greenhouse gas (GHG) emissions, and water consumption. Water integration in the form of distributed effluent treatment system design as well as heat integration considerations are the basis of this study. Cost savings are accomplished by sequentially employing water network optimization and energy integration techniques. Total annual cost savings of 2.7 to 7.8% are achieved at the surface facility through water integration. Additional operating cost savings of 9.2-10.2% are found due to heat integration. Of the technology options considered in this study, hot lime softening (HLS) with blowdown evaporation and hot lime softening with blowdown recycle are the most promising when considering the tradeoffs between energy, greenhouse gas emissions, and water consumption. However, these options are quite different (i.e., blowdown evaporation has lower water consumption but higher greenhouse gas emissions than blowdown recycle, whereas blowdown recycle has lower greenhouse gas emissions but higher water consumption than blowdown evaporation). Deciding between these options requires placing a value on these environmental externalities. The approach described in this work can be applied to inform decisions in the face of tradeoffs between a range of performance metrics. In addition, the analysis framework described in this paper can be adapted to consider new technology pathways as they become available.

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Simultaneous optimal integration of water utilization and heat exchange networks using holistic mathematical programming

Cited by 11 publications

References 23 publications

Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features

Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features

A novel MILP approach for simultaneous optimization of water and energy: Application to a Canadian softwood Kraft pulping mill

Energy, Water, Cost, and Greenhouse Gas Implications of Steam-Assisted Gravity Drainage Surface Facility Technologies

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