Optimization of heat exchanger network

Simultaneous synthesis of work exchange networks with heat integration

“…The optimal synthesis of heat exchanger networks (HENs) consists in promoting the thermal integration of the system via an efficient network design, in economic and thermodynamic terms, in which the number of heat exchangers units and utilities consumption are minimal. This result can be obtained by minimizing the heat exchange area (Gorji-Bandpy et al, 2011;Serna and Jiménez, 2004), explored in synthesis of process, in spite of its higher cost in comparison with heat. In fact, compressors and turbines correspond to some of the most expensive equipment in industries, surpassing the value of heat exchange equipment.…”

Review of metaheuristics applied to heat exchanger network design

“…Another alternative is the optimization of the amount of heat exchanged ( Q ) instead of the areas (as applied by Gorji‐Bandpy et al., ). This facilitates the computation of the outlet temperatures, avoiding the computational method mentioned in the previous paragraph.…”

“…(), Rezaei and Shafiei (), and Gorji‐Bandpy et al. () combined a GA in the outer level with a mathematical programming procedure at the inner level, as discussed in Section . Other authors such as Ponce‐Ortega et al.…”

“…Although these methods are able to reach a minimal‐cost solution, their mathematical formulation makes the optimization problem computationally intractable for large networks (Gorji‐Bandpy et al., ). Furman and Sahinidis () also confirmed the high computational complexity of the HEN design problem by proving it to be NP‐hard.…”

Process Design, Integration and Optimisation: Advantages, Challenges and Drivers

“…Mimicking the biological evolution, the mono-objective GAs were used by: Brand and Ostfeld (2011) for the optimal design of regional wastewater systems comprising transmission gravitational and pumping sewer pipelines, decentralised treatment plants and end users of reclaimed wastewater; Thunyawart et al (2011) to develop a mass-exchange networks module for a minimum freshwater usage target; Gorji-Bandpy et al (2011) for the optimisation of Heat Exchanger Networks, in tandem with Sequential Quadratic Programming; Lotfi and Boozarjomehry (2010) for the synthesis of HENS, based on GAs coupled with a commercial process simulator through the ActiveX capability of the simulator; and the multi-objective GAs were used by: Dogaru and Lavric (2012) for searching for the particular successions of topologies and operating conditions for a semicontinuous water network (batch with respect to the raw materials) that minimise both the freshwater consumption and the investment and operating costs; Hajabdollahi et al (2011) for obtaining maximum exergy effi ciency with minimum total annual cost per produced steam exergy; Tudor and Lavric (2011) for minimising fresh water consumption and operating costs of an integrated water/wastewater network; they both became the optimiser of choice.…”