An MINLP model for the simultaneous integration of energy, mass and properties in water networks

Jiménez‐Gutiérrez, Arturo; Lona-Ramírez, Jonathan; Ponce-Ortega, José María; El‐Halwagi, Mahmoud M.

doi:10.1016/j.compchemeng.2014.07.008

Cited by 35 publications

(33 citation statements)

References 39 publications

(27 reference statements)

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“…Accordingly, different synthesis concepts have been reported within the literature in order to address the synthesis problem of non-isothermal WNs, namely, heat-integrated water-using networks (HIWNs) and heat-integrated water-using and wastewater treatment networks (HIWTNs) Ibrić et al, 2014a). Also note that synthesis concepts based on state-space (Bagajewicz, 2000;Dong et al, 2008;Chen et al, 2014), sourcedemand or source-sink Jiménez-Gutiérrez et al, 2014), and multi-scale state-space (Zhou et al, 2012a,b) representation have been applied for synthesising WNs. Generally, the main idea of all concepts is to address combined WN-HEN or combined water-using, wastewater treatment and heat exchanger networks (WN-WTN-HEN or HIWTN).…”

Section: Studies Of Non-isothermal Water Network Synthesis By Mathemamentioning

confidence: 99%

Water and energy integration: A comprehensive literature review of non-isothermal water network synthesis

Ahmetović

Ibrić

Kravanja

et al. 2015

Computers & Chemical Engineering

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Section: Studies Of Non-isothermal Water Network Synthesis By Mathemamentioning

confidence: 99%

Water and energy integration: A comprehensive literature review of non-isothermal water network synthesis

Ahmetović

Ibrić

Kravanja

et al. 2015

Computers & Chemical Engineering

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“…We note that Equations (14) and (15) are still required to calculate the upper and lower bounds for each ε.…”

Section: Solution Methodsmentioning

confidence: 99%

Life Cycle Network Modeling Framework and Solution Algorithms for Systems Analysis and Optimization of the Water-Energy Nexus

Garcia

You

2015

Processes

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Abstract:The water footprint of energy systems must be considered, as future water scarcity has been identified as a major concern. This work presents a general life cycle network modeling and optimization framework for energy-based products and processes using a functional unit of liters of water consumed in the processing pathway. We analyze and optimize the water-energy nexus over the objectives of water footprint minimization, maximization of economic output per liter of water consumed (economic efficiency of water), and maximization of energy output per liter of water consumed (energy efficiency of water). A mixed integer, multiobjective nonlinear fractional programming (MINLFP) model is formulated. A mixed integer linear programing (MILP)-based branch and refine algorithm that incorporates both the parametric algorithm and nonlinear programming (NLP) subproblems is developed to boost solving efficiency. A case study in bioenergy is presented, and the water footprint is considered from biomass cultivation to biofuel production, providing a novel perspective into the consumption of water throughout the value chain. The case study, optimized successively over the three aforementioned objectives, utilizes a variety of candidate biomass feedstocks to meet primary fuel products demand (ethanol, diesel, and gasoline). A minimum water footprint of 55.1 ML/year was found, economic efficiencies of water range from −$1.31/L to $0.76/L, and energy efficiencies of water ranged from 15.32 MJ/L to 27.98 MJ/L. These results show optimization provides avenues for process improvement, as reported values for the energy efficiency of bioethanol range from 0.62 MJ/L to 3.18 MJ/L. Furthermore, the proposed solution approach was shown to OPEN ACCESSProcesses 2015, 3 515 be an order of magnitude more efficient than directly solving the original MINLFP problem with general purpose solvers.

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“…The authors limit the study to isothermal mixing cases. Jiménez-Gutiérrez et al (2014) presented a model for designing heat integrated water networks considering mass and properties. The methodology is based on a mixed-integer nonlinear programming (MINLP) model and the objective function to minimize is the total annual cost.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous heat integrated resource allocation network targeting for total annual cost considering non-isothermal mixing

Ghazouani¹,

Zoughaib²,

Pelloux-Prayer³

2015

Chemical Engineering Science

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An MINLP model for the simultaneous integration of energy, mass and properties in water networks

Cited by 35 publications

References 39 publications

Water and energy integration: A comprehensive literature review of non-isothermal water network synthesis

Water and energy integration: A comprehensive literature review of non-isothermal water network synthesis

Life Cycle Network Modeling Framework and Solution Algorithms for Systems Analysis and Optimization of the Water-Energy Nexus

Simultaneous heat integrated resource allocation network targeting for total annual cost considering non-isothermal mixing

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