无分流换热网络的弹性设计(Ⅰ)基于温度波动情形

提出了基于温度波动的无分流换热网络的超结构模型和同步优化的弹性设计方法。对于起始温度在一定范围内波动的物流进行预处理即分段处理,并提出了分段原则;提出了基于规则的网络超结构模型并建立了弹性换热网络同步优化的数学模型;采用遗传算法求解了所提出的优化数学模型;提出了分段物流的合并及能量松弛的原则,对分段物流进行合并,并通过能量松弛方法得到优化的弹性换热网络结构。通过几个换热网络的弹性设计,说明了本方法的有效性和应用前景。     

SYNTHESIS OF FLEXIBLE HEAT EXCHANGER NETWORKS WITH STREAM NO - SPLITTING(Ⅰ) BASED ON RANGES OF STREAM SUPPLY TEMPERATURES

提出了基于温度波动的无分流换热网络的超结构模型和同步优化的弹性设计方法。对于起始温度在一定范围内波动的物流进行预处理即分段处理,并提出了分段原则;提出了基于规则的网络超结构模型并建立了弹性换热网络同步优化的数学模型;采用遗传算法求解了所提出的优化数学模型;提出了分段物流的合并及能量松弛的原则,对分段物流进行合并,并通过能量松弛方法得到优化的弹性换热网络结构。通过几个换热网络的弹性设计,说明了本方法的有效性和应用前景。     

多周期操作工况下无分流换热网络的弹性设计

提出了基于多周期无分流换热网络的超结构形式及弹性设计方法——同步优化方法。首先建立网络多周期操作工况下的超结构模型;然后用遗传算法对上述模型进行求解。该方法能自动地合成多周期操作工况的换热网络最优流程结构。最后,通过换热网络的最优合成设计实例,说明本方法的有效性和应用前景。     

多周期操作工况下热换网络的弹性设计

提出了基于专家系统的多周期换热网络的超结构形式及弹性设计方法。首先通过专家系统确定周期操作工况下物流的分流及匹配禁止情况。在此基础上建立网络多周期操作工况下的超结构模型;然后用遗传算法对上述模型进行求解。最后用分解协调法和网络结构和匹配单元同时进行优化。该方法不仅自动地合成多周期操作工况的换热网络最优流程结构,而且能同时满足网络在各操作工况下的各种工艺限制条件,最后,通过某个换热网络的最优合成设计     

多周期操作工况下换热网络的弹性设计

提出了基于专家系统的多周期换热网络的超结构形式及弹性设计方法。首先通过专家系统确定各周期操作工况下物流的分流及匹配禁止情况,在此基础上建立网络多周期操作工况下的超结构模型;然后用遗传算法对上述模型进行求解;最后用分解协调法对网络结构和匹配单元同时进行优化。该方法不仅能自动地合成多周期操作工况的换热网络最优流程结构,而且能同时满足网络在各操作工况下的各种工艺限制条件。最后,通过某个换热网络的最优合成设计,说明本方法的有效性和应用前景。     

换热器网络同步最优综合方法──改进的MINLP转运模型法

针对现有的换热器网络最优综合方法的局限性，采用分级超结构转运模型和物流吸、放热潜力的概念，提出了非等温混合线性约束的换热器网络同步最优综合混合整数非线性规划（MINLP）的改进模型．该模型不仅可以对公用工程费用、换热面积、换热设备台数及物流的匹配选择进行多目标同步优化，而且在线性约束的条件下消除了等温混合的不合理假设，只需求解一次MINLP问题就可得到包括分流情况在内的最优网络结构．算例表明，该模型优于以往的几种同步优化模型．     

基于群体智能算法的换热网络同步最优综合

换热网络同步综合方法一般需要建立复杂的混合整数非线性数学规划模型,该模型具有非凸、非线、不连续的特点,属于最难求解的一类NP-hard问题,应用传统的优化算法很难确定其全局最优解,尤其是对大规模换热网络综合问题,甚至无法在合理时间内接近全局最优的局部最优解。针对换热网络同步综合问题,提出基于群体智能算法的分层优化策略,外层采用离散粒子群算法与遗传算法相结合的混合群体智能算法优化换热网络结构,内层在结构变量给定条件下利用改进粒子群算法优化冷热物流分流比与换热负荷。两个典型算例研究证明了该方法能以较高的效率和稳定性得到较好的优化结果。     

基于虚拟温度法的间歇过程换热网络结构优化

在用虚拟温度法得到的间歇过程换热器网络综合的基础上,对间歇过程换热网络的结构优化问题进行了研究。主要内容包括:在以时间段模型为基础,用虚拟温度法综合间歇过程得到的直接换热网络的基础上,寻找各时间间隔的子换热器网络内的热负荷回路;以一定的规则断开回路,对总换热器网络进行结构优化,使最后的总换热网络既能够减少换热单元数目,又满足年度总费用最小。     

刚性换热网络的弹性化

针对给定的换热流程(刚性网络),以对换热面积作最小调整为目标,使重要物流达到工艺要求的目标温度以及消耗最少公用能为约束,建立1个NLP模型.该模型的解,将给出为使网络具有一定的操作弹性而必须对其中各物流间换热器的传热面积做出的调整值.具体应用例证明,此法简单可靠.由于合成刚性网络远比直接合成弹性网络简单,故本法与刚性网络的合成软件结合,可以更方便地做出弹性网络设计;在对现有换热流程进行改造时,由于该法以既成网络为基础,将做出工程量与投资最少的改造方案.     

结构可观的换热网络温度测点分析及控制系统设计

复杂换热网络中间温度状态变量众多且变量间耦合严重,若不加以控制与观测,往往不利于物流间的热量传递与安全监测。换热网络的温度测点设置是实施控制的基础,为保证全部状态的可观性,凭经验设置的温度测点往往过多,经济性差,也缺乏理论论证与分析。因此从控制理论的角度,基于结构可观性理论分析换热网络的结构特性。分析旁路设置对换热网络结构可观性的影响,权衡可观性与经济性两方面因素,为实现设置最少的温度测点以满足全部状态的可观性要求,提出了换热网络全部状态可观的温度测点优化设计法。然后,基于相对增益分析,将已有旁路与优化得出的温度测点进行配对,构成换热网络的常规控制系统。最后,以某常减压蒸馏装置脱盐前换热网络为例验证了方法的可行性。     

基于温度和热容流率同时变化的有分流换热网络弹性设计的研究

A new superstructure model of heat exchanger networks (HEN) with stream splits based on rangers of streams supply temperatures and heat capacity flow rates is presented. The simultaneous optimal mathematical model of flexible HEN synthesis is established too. Firstly, the streams with rangers of supply temperatures and/or the streams with the rangers of heat capacity flow rates are pretreated; Secondly, several rules are proposed to establish the superstructure model of HEN with splits and the simultaneous optimal mathematical model of flexible HEN; Thirdly, the improving genetic algorithm is applied to solve the mathematical model established at the second step effectively, and the original optimal structure of HEN based on the maximum operation limiting condition can be obtained easily; Finally, the rules of heat exchange unit merged and the heat load of heat exchanger relaxed are presented, the flexible configuration of HEN satisfied the operation condition between the upper and down bounds of supply temperature and heat capacity flow rates can be obtained based on the original optimal structure of HEN by means of these rules. A case study demonstrates the method presented in this paper is effective     

基于专家系统和遗传算法的换热网络的建模和优化

A new superstructure from of heat exchanger networks(HEN) is proposed based on expert system (ES). The new superstructure from is combined with the practical engineering.The different investment cost formula for different heat exchanger is also presented based on ES.The mathematical model for the simultaneous optimization of network configuration is established and solved by a genetic algorithm.This method can deal with larger scale HEN synthesis and the optimal HEN configuration is obtained automatically.Finally,a case study is presented to demonstrate the effectiveness of the method.     

柔性换热器网络综合与清洗时序安排同步优化

提出在柔性换热器网络设计时考虑设备投入运行后实施在线清洗时序安排的同步优化方法,实现换热器网络动态综合。为降低该问题计算的复杂性,提出采用两阶段法。第一阶段利用虚拟温-焓图法初步综合获得考虑设备结垢过程和流股入口温度、热容流率发生变化时的多周期柔性网络,在同步优化之前识别出较优匹配候选。第二阶段,换热网络结构、设备面积和清洗时序安排利用遗传/模拟退火算法进行同步优化。通过积分方法来计算随时间变化的公用工程消耗,所建立的数学模型因此比以往文献更加严格。计算实例表明,所提方法有效降低年度总费用,同时能够解决大规模柔性换热器网络综合问题。     

A monogenetic algorithm for optimal design of large-scale heat exchanger networks

The optimal design of large-scale heat exchanger networks is a quite difficult task not only due to its non-linear characteristics but also due to a great number of local optima in its solution space. An explicit analytical solution of stream temperatures for the superstructure heat exchanger networks was developed, which reduces number of decision variables significantly. Based on this solution, a mathematical model for synthesis of heat exchanger networks was formulated for searching the optimal configuration of a heat recovery system by a hybrid genetic algorithm. For large-scale heat exchanger networks, a monogenetic algorithm based on the optimization of sub-networks is proposed. In the first step of the optimization, the hybrid genetic algorithm is applied to the synthesis of the whole heat exchanger network for finding the functional groups (sub-networks) rather than the chromosomes (positions of the heat exchangers and splits of the streams) and genes (areas and heat capacity flow rates). Then the monogenetic algorithm for evolution of the functional groups is carried out to improve the HEN. This procedure was applied to examples taken from literature and better results were obtained.     

Simultaneous synthesis of structural‐constrained heat exchanger networks with and without stream splits

This paper presents a comprehensive simultaneous synthesis approach based on stage‐wise superstructure to design cost‐optimal heat exchanger network (HEN). It is well known that the simultaneous synthesis model has very complicated mixed integer nonlinear programming formulations, which are non‐convex, non‐continuous and have many local optima. Up till now, it cannot be expected that an algorithm can find, in polynomial time, the global solution to the simultaneous synthesis problem of HEN. In order to reduce computational complexity, some simplified assumptions for structures, such as no stream splits, stream splits with isothermal mixing, no stream split flowing through more than one exchanger, etc, are adopted to prune the search space at the expense of neglecting certain important alternatives in the network configuration. In this work, a flexible stage‐wise superstructure is proposed to control the solution performance and search space efficiently. At each stage of the superstructure, with or without stream splits is determined at random or by the experience of designers. In this way, various candidate series and split network designs featuring the lowest annual cost can be found. Moreover, an efficient two‐level optimisation algorithm is employed for solving the presented model utilising genetic algorithm and particle swarm optimisation algorithm. Three case studies are presented to show the applicability of the proposed methodology. In addition, the results show that the new approach is able to find more economical networks than those generated by other methods. © 2012 Canadian Society for Chemical Engineering     

Design of flexible heat exchanger network for multi-period operation

Heat exchanger networks (HENs) increase heat recovery from industrial processes by matching hot and cold streams to exchange heat and reducing utility consumption. The design of HENs is a very complex task which generally involves mixed-integer non-linear programming (MINLP).This work evaluates and critically compares existing HEN design methods. It then presents a systematic methodology in the design of HENs under multiple periods of operation. The model presented in this work is a superstructure-based MINLP model which minimises the total annualised cost containing heat exchanger area cost and utility costs. The model is based on the superstructure by Yee and Grossmann [1990. Simultaneous optimisation models for heat integration—II, heat exchanger network synthesis. Computer & Chemical Engineering 14(10), 1165-1184], which was later formulated for multiple periods by Aaltola [2002. Simultaneous synthesis of flexible heat exchanger network. Applied Thermal Engineering 22, 907-918]. It includes a multi-period simultaneous MINLP model to design the HEN structure, and an NLP model to improve the solution and allow for non-isothermal mixing. Modifications to Aaltola's model include the use of maximum area per period in the area cost calculation of the MINLP objective function, and the removal of slack variables and weighed parameters from the existing NLP improvement model.The new model has been applied to one industrial case study, demonstrating that the new combined MINLP-NLP model can obtain better solutions by not relying on the average area assumption in the MINLP stage.     

基于夹点技术与超结构模型的多程换热网络最优综合

基于热力学原理,以夹点技术为基础结合数学规划法,采用两步法综合多程换热网络。第一步在多程换热网络热力学分析的基础上优化求解最小温差,计算公用工程用量。第二步将求得的最小温差作为夹点温差,将网络分为夹点之上和夹点之下两个子网络,建立多程换热网络的超结构模型,确定流股匹配并优化网络配置。最后,以换热网络总费用最小为目标,连接两个子网络,权衡设备投资费用和操作费用,综合多程换热网络。该方法基于热力学原理,改进了夹点技术在多程换热网络综合中的应用,进而实现了多程换热网络的自动综合。示例分析证明了本文所提方法的有效性。