Abstract
This is the second part of a series that applies optimization to maximize the productivity and minimize operating costs of existing heat-integrated crude oil distillation systems. This paper presents a two-level retrofit approach for heat exchanger networks. In the first level, simulated annealing proposes topology modifications to the existing network (e.g., adding, removing, and relocating heat exchangers; changing the heat loads of heat exchangers, adding and removing stream splitters, and changing the split fraction of stream splitters). In the second level, a repair algorithm addresses the violation of constraints. These constraints consider the minimum temperature approach, stream enthalpy balances, and existing heat transfer areas. The repair algorithm is formulated as a nonlinear least-squares problem. Temperature-dependent thermal properties are considered in this work for the accurate prediction of stream temperatures. Two case studies illustrate the application of the proposed methodology to decrease total annualized costs.
Original language | English |
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Journal | Industrial & Engineering Chemistry Research |
DOIs | |
Publication status | Published - 23 Mar 2015 |
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Dive into the research topics of 'Optimization of Heat-Integrated Crude Oil Distillation Systems. Part II: Heat Exchanger Network Retrofit Model'. Together they form a unique fingerprint.Impacts
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Increasing productivity in the process industries through the use of artificial intelligence and machine learning for the optimisation of distillation operations
Smith, R. (Participant), (Participant), Zhang, N. (Participant) & (Participant)
Impact: Economic, Environmental