A neighborhood‐adaptive state transition algorithm for operational optimization of residue hydrogenation fractionation process. (6th March 2021)

• Record Type: Journal Article
• Authors: Wang, Yalin; Yi, Kemin; Wang, Kai; Yuan, Xiaofeng
• Is Part Of: International journal of energy research. Volume 45:Number 9(2021)
• Page Start: 12740
• Page End: 12757
• Publication Date: 2021-03-06
• Subjects: energy consumption -- neighborhood‐adaptive state transition algorithm -- operation optimization -- residual hydrogenation fractionation process; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Power resources -- Research -- Periodicals; 621.042
• DOI: 10.1002/er.6607
• Languages: English
• ISSNs: 0363-907X

Abstract

Summary: Residual hydrogenation fractionation process (RHFP) is significant for extracting valuable fractions from heavy oil with a severe energy consumption. The operational optimization of RHPF for comprehensively improving product profits and reducing energy consumption costs has been studied in this paper. Considering the complex nonlinear dynamic constraints, a novel neighborhood‐adaptive state transition algorithm (NaSTA) is proposed. Specifically, a variable local‐neighborhood strategy is designed to adaptively change the size of the neighborhood and speed up the initial search. Then, randomly generating large‐scope candidate solutions aids the algorithm to jump out of the local optimal solution. In addition, an out‐of‐bound candidate solution processing mechanism is proposed to reasonably allocate candidate solutions that exceed the predefined neighborhood boundaries. The statistical research manifests the superiority of the proposed method compared with other optimization algorithms. The experimental results verify that the energy consumption is considerably reduced by approximately 10.06% so that the overall profit is improved. Abstract : The operation optimization problem for residue hydrogenation fractionation process under the constraints of energy consumption and cost is established. A neighborhood‐adaptive state transition algorithm is proposed to speed up the search process and improve the accuracy. The algorithm is applied to the operational optimization of residue hydrogenation fractionation process and makes the profit improve by 10.06%.