文献类型：期刊文献

英文题名：Large-Scale Material and Energy Coupling Systems Optimization for Industrial Refinery with Sustainable Energy Penetration Under Multiple Uncertainties Using Two-Stage Stochastic Programming

作者：Xu, Tiantian[1]; Long, Jian[2]; Zhao, Liang[1]; Du, Wenli[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

年份：2023

外文期刊名：SSRN

收录：EI(收录号：20230316774)

语种：英文

外文关键词：Energy conservation - Energy utilization - Gas emissions - Gaussian distribution - Greenhouse gases - Integer programming - Nonlinear programming - Solar power generation - Stochastic systems - Wind

摘要：The coupling of multi-media material and energy with sustainable energy penetration in large-scale industrial refineries contributes to lower energy consumption. This work proposes a novel two-stage stochastic programming (TSP) framework to integrate sustainable energy into the coupled production material and steam systems (CPMSS) of refineries, formulated as a large-scale mixed-integer nonlinear programming problem. A superstructure model for sustainable energy penetration in CPMSS is developed first, incorporating the interconnection of diverse energy carriers such as wind, solar, hydrogen, and traditional energy, while considering the multiple operational modes and hydrogen consumption of process units. First-principles models of wind turbines, solar thermal collectors, and proton exchange membrane electrolysers are developed for integration into CPMSS. Latin hypercube sampling and Gaussian mixture model methods are adopted to classify high volumes of uncertain data within the framework of TSP, considering the uncertainties in wind speed and solar radiation.Finally, a series of case studies on the industrial refinery's CPMSS is conducted to illustrate the effectiveness of the proposed method. The optimization results indicate that the TSP method can reduce operating costs by 16,100,000 CNY/year and decrease greenhouse gas emissions by 7,993,000 t/Year compared to traditional CPMSS without the integration of sustainable energy systems. ? 2023, The Authors. All rights reserved.