【摘要】：傳統(tǒng)的煉油企業(yè)生產(chǎn)計劃優(yōu)化與過程操作優(yōu)化往往是分離的,從而造成生產(chǎn)計劃優(yōu)化系統(tǒng)制定出的生產(chǎn)方案可能在實際的生產(chǎn)裝置操作上無法實現(xiàn)的情況,在為了確保煉油企業(yè)生產(chǎn)計劃制定方案可行的同時實現(xiàn)過程裝置操作優(yōu)化,本文基于流程模擬軟件建立了常減壓蒸餾裝置生產(chǎn)計劃與過程操作的集成優(yōu)化策略。原料供應(yīng)、產(chǎn)品市場的需求以及設(shè)備的運行狀況的改變都會引起物料流程的變化,能耗也會隨著物料流程改變。通常物流優(yōu)化的過程中并未考慮物料過程的變化對于系統(tǒng)能耗的影響,從而導(dǎo)致企業(yè)實際生產(chǎn)運行過程中,實際運行的能耗一般會大于設(shè)計能耗,所以必須結(jié)合工藝建立基于多工況的能耗需求模型計算實際運行能耗。因此在本文物流集成優(yōu)化的基礎(chǔ)上,建立基于多工況的多介質(zhì)能耗模型,并且與生產(chǎn)計劃進行集成優(yōu)化。最終利用煉油廠全流程仿真平臺設(shè)計案例對該集成方法進行應(yīng)用評價。全文共有六章組成：第一章為緒論,綜述了煉油企業(yè)生產(chǎn)計劃重要地位及發(fā)展情況,流程模擬及優(yōu)化技術(shù)的應(yīng)用背景及發(fā)展現(xiàn)狀,以及煉油企業(yè)的集成技術(shù)和研究現(xiàn)狀。針對研究現(xiàn)狀存在的不足,提煉本研究課題的創(chuàng)新點,提出本文的研究目標(biāo)和研究意義。第二章為常減壓蒸餾裝置的流程模擬及優(yōu)化,介紹了原油蒸餾的工藝流程和常減壓裝置的工序,所使用的流程模擬軟件的特點和功能。利用流程模擬軟件建立了常減壓裝置的模型,并且基于建立的常減壓裝置模型進行操作優(yōu)化分析。第三章為基于利用流程模擬軟件建立的常減壓裝置穩(wěn)態(tài)機理模型,根據(jù)單元裝置的關(guān)鍵工藝參數(shù)特性,提出了一種基于流程模擬的常減壓裝置操作與生產(chǎn)計劃集成優(yōu)化的方法,并且給出了該方法的尋優(yōu)策略。案例證明了該方法可以驗證生產(chǎn)計劃制定最優(yōu)方案的可達(dá)性,并且給出操作條件,提高生產(chǎn)計劃的準(zhǔn)確性和可執(zhí)行性。第四章針對物流優(yōu)化對系統(tǒng)能耗造成的影響這一問題,將煉油企業(yè)的能耗分為固定能耗和可變能耗,分析了影響裝置可變能耗的幾個重要因素,從而建立了基于多工況的煉油企業(yè)多介質(zhì)能耗模型,實現(xiàn)了根據(jù)物流優(yōu)化的結(jié)果計算系統(tǒng)的能耗,在此基礎(chǔ)上進行了與生產(chǎn)計劃集成優(yōu)化的研究。第五章在這一章節(jié)中利用建立的煉油廠全流程仿真系統(tǒng),細(xì)化仿真平臺的關(guān)鍵裝置模型,將本文建立的3個生產(chǎn)計劃模型的優(yōu)化解分解成仿真指令,創(chuàng)建并配置其仿真場景,對生產(chǎn)計劃做出仿真應(yīng)用評價。第六章對本研究工作的主要內(nèi)容進行總結(jié),并討論了需要進一步研究的若干設(shè)想和提議。
[Abstract]:The traditional production plan optimization and process operation optimization in oil refining enterprises are often separated, which results in the situation that the production plan made by the production plan optimization system may not be realized in the actual production plant operation. In order to ensure the feasibility of production planning and process operation optimization in oil refining enterprises, an integrated optimization strategy for production planning and process operation of atmospheric and vacuum distillation units was established based on process simulation software. The change of raw material supply, product market demand and equipment operation will lead to the change of material flow, and energy consumption will change with material flow. In the process of logistics optimization, the influence of the change of material process on the energy consumption of the system is not considered, which leads to the fact that the energy consumption of the actual operation is larger than the design energy consumption in the actual operation process of the enterprise. Therefore, it is necessary to establish the energy consumption demand model based on multi-working conditions combined with the process to calculate the actual running energy consumption. Therefore, based on the optimization of logistics integration in this paper, a multi-medium energy consumption model based on multi-working conditions is established, and integrated optimization with production planning is carried out. Finally, the application of the integration method is evaluated by using the design case of the whole process simulation platform of the refinery. There are six chapters in this paper: the first chapter is the introduction, which summarizes the important status and development of production planning, the application background and development status of process simulation and optimization technology, and the integration technology and research status of oil refining enterprises. In view of the deficiency of the present research situation, the innovation points of this research subject are refined, and the research goal and significance of this paper are put forward. The second chapter is the process simulation and optimization of atmospheric and vacuum distillation unit. The process flow of crude oil distillation and the working procedure of atmospheric and vacuum distillation unit are introduced. The characteristics and functions of the process simulation software used are introduced. The model of atmospheric and vacuum device is established by using process simulation software, and the operation optimization analysis is carried out based on the established model of atmospheric and vacuum device. The third chapter is based on the steady state mechanism model of atmospheric and vacuum unit established by process simulation software. According to the characteristics of key process parameters of unit, a method of integrated optimization of operation and production plan of atmospheric and vacuum unit based on process simulation is proposed. The optimization strategy of this method is also given. The example shows that this method can verify the reachability of the optimal plan of production plan, and give the operating conditions to improve the accuracy and the executable of the production plan. In chapter 4, aiming at the influence of logistics optimization on system energy consumption, the energy consumption of refining enterprises is divided into fixed energy consumption and variable energy consumption, and several important factors affecting the variable energy consumption of the plant are analyzed. A multi-medium energy consumption model based on multi-working conditions is established, and the energy consumption of the system is calculated according to the result of logistics optimization. On this basis, the integrated optimization with production planning is studied. In the fifth chapter, by using the whole process simulation system of refinery, the key unit model of the simulation platform is refined, and the optimization solution of the three production planning models established in this paper is decomposed into simulation instructions, and the simulation scene is created and configured. Make the simulation application evaluation to the production plan. The sixth chapter summarizes the main contents of this study and discusses some ideas and suggestions for further study.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TE62

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本文編號：2184299