文献类型：期刊文献

英文题名：Milp-Based Integrated Modeling and Multi-Period Optimization of Mass-Energy Coupled Fcc-Steam Systems with Environmental-Economic Objectives

作者：Long, Jian[1,2]; Zhao, Bishi[1]; Huang, Cheng[1]; Fan, Chen[1]

机构：[1] Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China; [2] State Key Laboratory of Chemical Engineering, China

年份：2025

外文期刊名：SSRN

收录：EI(收录号：20250342858)

语种：英文

外文关键词：Chemical industry - Energy efficiency - Energy utilization - Fluid catalytic cracking - Integer programming - Mixed-integer linear programming - Petroleum refining - Steam - Steam cracking - Steam pipelines

摘要：With increasing global pressure to decarbonize the energy and chemical industries, the oil refining sector is undergoing a critical transformation toward green and low-carbon development. As one of the core oil refining units, the fluid catalytic cracking (FCC) process is complex. Meanwhile, it has high energy consumption and large carbon emissions. Separate optimization leads to the loss of energy and quality synergy. To address the issue of simultaneous energy and quality losses resulting from the separate optimization of the FCC and steam systems, this study models and optimizes the multi-cycle energy and quality coupling of catalytic cracking process and steam system collaboration. Based on the deep coupling of the cracking reaction and the dynamic transmission characteristics of the steam pipeline network, a multi-time-scale coupling model is established to reveal the interaction mechanism between the device and the steam system. This work develops a mathematical framework based on mixed-integer linear optimization, which aims to enhance the overall economic performance of the integrated plant, integrating the topological constraints of the pipeline network, the variable operating conditions characteristics of the equipment, and the discrete start-stop logic. Through case verification and system decoupling comparative experiments, the revenue increase of the global optimization scheme with energy and quality coupling reached 41.2%, proving that the proposed method can effectively improve efficiency and energy efficiency in the optimization scheme under the actual refinery. ? 2025, The Authors. All rights reserved.