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

Kermani, Maziar; Périn-Levasseur, Zoé; Benali, Marzouk; Savulescu, Luciana; Maréchal, François

doi:10.1016/j.compchemeng.2016.11.043

Cited by 33 publications

(43 citation statements)

References 68 publications

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“…The overall problem is solved subject to heat, mass, power balances, and sizing constraints. To this end, combined heat and power superstructure constraints introduced by Kermani et al [16] can be incorporated in the mixed-integer linear programming (MILP) formulation of Kermani et al [17] to address the entire set of constraints.…”

Section: Problem Definition and Proposed Approachmentioning

confidence: 99%

“…Project objectives should be defined and discussed at this step, as it directly influences the amount and level of detail in data extraction. Furthermore, this must be performed in such a way to facilitate future projects [17]. Three main approaches are considered to facilitate data extraction and building the mathematical model which represents the mill:…”

Section: Data Extraction and Problem Formulationmentioning

confidence: 99%

“…The combined heat and power superstructure developed by Kermani et al [16] can address the first gap, while the HIWAN hyperstructure developed by Kermani et al [17,18] can address the second gap by integrating a cooling water network with the process water network. The aim of the current work is to address several gaps (1,3,4,5) by proposing a hybrid mixed-integer nonlinear programming (MINLP) superstructure for simultaneous optimization of heat, water, and power.…”

mentioning

confidence: 99%

“…The aim of the current work is to address several gaps (1,3,4,5) by proposing a hybrid mixed-integer nonlinear programming (MINLP) superstructure for simultaneous optimization of heat, water, and power. The superstructure is constructed by combining the targeting superstructure of HIWAN [17] and the combined heat and power superstructure [16] for both ORC and steam cycle modeling and optimization.…”

mentioning

confidence: 99%

“…Only the temperature and maximum allowed inlet and outlet contaminations must be extracted from water unit operations, such as bleaching or washing. The proposed MILP superstructure [17] will consider all thermal stream possibilities within the water network. • Successive heat exchangers without any stream splitting are combined into a single stream (e.g., three phases of a cold stream consisting of pre-heating, evaporation, and superheating are modeled as one stream).…”

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confidence: 99%

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A Holistic Methodology for Optimizing Industrial Resource Efficiency

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Efficient consumption of energy and material resources, including water, is the primary focus for process industries to reduce their environmental impact. The Conference of Parties in Paris (COP21) highlighted the prominent role of industrial energy efficiency in combating climate change by reducing greenhouse gas emissions. Consumption of energy and material resources, especially water, are strongly interconnected and, therefore, must be treated simultaneously using a holistic approach to identify optimal solutions for efficient processing. Such approaches must consider energy and water recovery within a comprehensive process integration framework which includes options such as organic Rankine cycles for electricity generation from low-medium-temperature heat. This work addresses the importance of holistic approaches by proposing a methodology for simultaneous consideration of heat, mass, and power in industrial processes. The methodology is applied to a kraft pulp mill. In doing so, freshwater consumption is reduced by more than 60%, while net power output is increased by a factor of up to six (from 3.2 MW to between 10-26 MW). The results show that interactions among these elements are complex and therefore underline the necessity of such comprehensive methods to explore their optimal integration with industrial processes. The potential applications of this work are vast, extending from total site resource integration to addressing synergies in the context of industrial symbiosis.

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Section: Problem Definition and Proposed Approachmentioning

confidence: 99%

Section: Data Extraction and Problem Formulationmentioning

confidence: 99%

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A Holistic Methodology for Optimizing Industrial Resource Efficiency

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A Perspective on Process Integration

Kantor

Pouransari

Maréchal

2018

Resource Efficiency of Processing Plants

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An optimization model for site-wide scheduling of coupled production plants with an application to the ammonia network of a petrochemical site

et al. 2019

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This contribution presents the modeling and optimization of the operation of production plants that are coupled via distribution networks and applies it to a part of the petrochemical production site of INEOS in Köln in Germany. The problem is formulated as a mixed-integer linear problem and solved to generate an optimal monthly plan for a set of plants, tanks, and loading/unloading facilities, while respecting various constraints arising from technical limitations, physical couplings between the plants, production targets, and the schedule for import and export across the company borders via ships and trains. The optimization problem takes into account varying energy prices, the influence of the ambient temperature on the processes, and the inventory management for different types of storages. We solve the optimization problem for the particular case and compare the results for a 1 month scenario to recorded data and show that a significant energy saving potential exists. We discuss the current limitations and outline potential improvements in the context of the application of the optimization model to optimal site planning that leads to an improved coordination of the production in the process industries.

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

Cited by 33 publications

References 68 publications

A Holistic Methodology for Optimizing Industrial Resource Efficiency

A Holistic Methodology for Optimizing Industrial Resource Efficiency

A Perspective on Process Integration

An optimization model for site-wide scheduling of coupled production plants with an application to the ammonia network of a petrochemical site

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