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

Maziar Kermani, Ivan D. Kantor and François Maréchal
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Maziar Kermani: École Polytechnique Fédérale de Lausanne (EPFL) Valais Wallis, Industrial process and energy systems engineering (IPESE) group, Rue de l’Industrie 17, case postale 440, 1951 Sion, Switzerland
Ivan D. Kantor: École Polytechnique Fédérale de Lausanne (EPFL) Valais Wallis, Industrial process and energy systems engineering (IPESE) group, Rue de l’Industrie 17, case postale 440, 1951 Sion, Switzerland
François Maréchal: École Polytechnique Fédérale de Lausanne (EPFL) Valais Wallis, Industrial process and energy systems engineering (IPESE) group, Rue de l’Industrie 17, case postale 440, 1951 Sion, Switzerland

Energies, 2018, vol. 11, issue 5, 1-28

Abstract: 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 Je?owski, 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.

Keywords: mathematical programming; superstructure optimization; solution strategy; heat-integrated mass allocation network (HIMAN); non-linear programming; heat integration; non-isothermal mixing; benchmarking; sequential; simultaneous (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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