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炼油企业生产计划和能量系统集成优化研究
引用本文:张冰剑,华贲,陆明亮.炼油企业生产计划和能量系统集成优化研究[J].计算机与应用化学,2005,22(12):1083-1088.
作者姓名:张冰剑  华贲  陆明亮
作者单位:广州华南理工大学化工与能源学院,强化传热与过程节能教育部重点实验室,广东,广州,510640;AspenTech公司,美国
基金项目:Supported by Advanced Scientific Problems in High Efficient Energy Saving(G2000026308)
摘    要:炼油企业通常由生产过程和公用工程两个主要部分组成。将生产计划和公用工程集成优化,不仅获得真正的全局最优解,而且克服了传统生产计划人为制定生产过程与公用工程之间中间物流(各压力等级的蒸汽,瓦斯等)价格的缺陷,避免了蒸汽减温减压和放空,以及炼厂气放空的经济损失和环境破坏。首先采用IDEF0方法建立了生产计划与公用工程的功能模型,描述了两者之间的相互关系。接着建立了生产计划与公用工程集成的混合整数线性规划模型。模型描述了装置能耗不仅与加工量相关,而且与装置的生产方案相关,更真实地反映了生产过程与能量系统之间的定量关系。模型还在全厂范围内进行各压力等级蒸汽和燃料的平衡。最后,将建立的全厂集成优化模型应用于中国北方的某大型炼油厂,验证了模型的有效性。

关 键 词:优化  能量系统  生产计划  混合整数线形规划  炼油企业

Simultaneous optimization of production planning and energy system for refinery operations
ZHANG Bingjian,HUA Ben,LU Mingliang.Simultaneous optimization of production planning and energy system for refinery operations[J].Computers and Applied Chemistry,2005,22(12):1083-1088.
Authors:ZHANG Bingjian  HUA Ben  LU Mingliang
Affiliation:1. The Key Laboratory of Enhanced Heat Transfer and Energy Conservation, Ministry of Education, South China University of Technology, Guangzhou, 510640, Guangdong, China; 2. Aspen Technology, Ten Canal Park, Cambridge, MA 02141, USA
Abstract:A novel approach to the integration of production planning and energy system is represented in this paper. IDEF0 method is employed to construct the integrated activity model that describes the interrelationship of production planning and energy system. Optimal production planning activity submodel and energy system activity submodel are detailed respectively following the integration activity model. A plant-wide planning mathematic model is proposed and three improvements are identified. First, unit energy-consumed model is reformulated, because unit energy-consumed not only relates the throughput of unit, but also depends on the operation mode of unit and season. Second, the MILP (Mixed Integer linear Programming) model of utility systems is embedded in the plant-wide model to gain the global optimization. Third, steam, fuel oil and fuel gas balance in the whole plant. Finally, the proposed approach is used to a real industrial example to determine the optimal mass and energy flow.
Keywords:optimization  energy system  production planning  MILP  refinery industry
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