基于经济目标和分解协调策略的换热网络最优设计

分析了换热网络在过程系统中的功能 ,从火用分析和火用经济学的角度提出了换热网络最优合成设计的实用火用经济目标函数 ,它包含了网络的流动火用损费 ,且可分解为各个换热单元的总费用之和 .在换热网络目标函数可分解性的基础上 ,本文又进一步提出了换热网络分解协调优化的研究策略 ,它是在各个匹配单元 (子系统 )和整个换热网络结构 (复杂系统 )之间进行优化协调 ,并获得换热网络的最优结构和各匹配单元的最优操作参数 .最后 ,通过一换热网络的最优合成 ,说明了该方法的应用前景     

改进PSO算法在蒸汽动力系统多周期运行优化中的应用

为了满足石化企业工艺过程对蒸汽和电力不断变化的要求,实现企业降低成本、节能降耗的目的,必须保证蒸汽动力系统在最优的状态下运行。针对这一问题在以往研究的基础上提出了包括设备维护和启停费用的改进的混合整数线性规划模型,利用改进的PSO算法对其求解,并通过实例证明了利用该模型、使用改进的PSO算法能很快得到最优的方案,并节省了大量的运行成本。     

基于经济目标和分解协调策略的换热网络最优设计

分析了换热网络在过程系统中的功能 ,从火用分析和火用经济学的角度提出了换热网络最优合成设计的实用火用经济目标函数 ,它包含了网络的流动火用损费 ,且可分解为各个换热单元的总费用之和 .在换热网络目标函数可分解性的基础上 ,本文又进一步提出了换热网络分解协调优化的研究策略 ,它是在各个匹配单元 (子系统 )和整个换热网络结构 (复杂系统 )之间进行优化协调 ,并获得换热网络的最优结构和各匹配单元的最优操作参数 .最后 ,通过一换热网络的最优合成 ,说明了该方法的应用前景     

Modeling and simulation of motor/turbine processes in utility plant

To achieve safe operation and to improve economics it is imperative to monitor and analyze demand and supply of utilities and to meet utility needs in time. The main objective of motor/turbine processes is to manipulate optimal balances on steam and electricity in utility plants. The optimal operation of motor/turbine processes is by far the most important to improve economics in the utility plant. In order to analyze motor/turbine processes, steady state models for steam generation equipment and steam distribution devices as well as turbine generators are developed and analyzed in this work. In addition, heuristics concerning various operational situations are incorporated in the models. The motor/turbine optimal operation system is based on utility models and operational knowledgebase, and provides optimal operating conditions when the amount of steam demand from various steam headers is changed frequently. The optimal operation system also produces optimal selection of driving devices for utility pumps to reduce operating cost.     

卷式反渗透海水淡化系统膜清洗与更换策略优化

膜污染是导致反渗透海水淡化(seawater reverse osmosis,SWRO)系统操作成本增加和产水性能下降的重要因素。为了降低系统运行操作成本,本文针对卷式SWRO系统提出了一种新的膜清洗与更换策略优化方法。首先,根据反渗透和膜污染过程机理建立了膜污染情况下的SWRO系统性能模型;然后将生产过程中的总操作费用与膜清洗和更换规划联系起来,建立了以系统日均操作费用最低为目标、以膜清洗次数、膜清洗和更换时间等为寻优变量、以开放式方程模型为约束的优化命题,并通过联立求解等技术使得原本复杂的优化命题可快速方便地求解;在此基础上对SWRO系统进行了实例研究和分析。优化求解结果表明:(1)本优化策略可以大幅降低系统操作费用,并同时获得最佳膜清洗和更换时间以及膜清洗次数;(2)进料海水温度对最优膜清洗和更换策略影响很大,固定周期的膜更换策略并不合适。另外本优化方法还可得到不同条件下最优操作费用组成、以及最优目标下最优操作压力和操作流量曲线等信息,对优化SWRO系统运行和深入分析系统内部状态变化具有重要意义。     

基于可靠性分析的公用工程操作优化

针对公用工程系统,基于可靠性分析提出新型的操作优化方法。该方法结合关键设备故障分析,采用系统的数学手段计算公用工程系统由于设备故障所产生的所有可能的操作状态及其概率。每一个状态进行单独的操作优化,其经济评价与该状态的概率相加权,以此获得系统整体经济评估。此方法中,设备的操作策略得到优化,如冷备用、热备用、负荷共享等。操作成本与设备故障造成的生产损失成本得以权衡。与传统的优化方法相比,该方法可获得更低的系统总成本。     

A computerized and integrated approach for heat exchanger network design in multipurpose batch plants

Significant savings in the utility cost of batch plants can be obtained by heat integration. In this study, an integrated mathematical programming approach is developed for the determination of the cost optimal heat exchanger network for multipurpose batch chemical plants. A single step, interactive computer program (BatcHEN) which is developed for the determination of the campaigns (i.e. the set of products which can be produced simultaneously), the heat exchange areas of all possible heat exchangers in the campaigns and finally the heat exchanger network are all discussed. A matrix search algorithm is used for the determination of the campaigns. Heat exchange areas for the possible heat exchangers are found by solving a nonlinear optimization model with a grid search algorithm. Finally the heat exchanger network optimization is modeled as a mixed integer linear programming problem and then solved by the modeling and optimization software GAMS/XA.     

流化床锅炉煤泥湿法输送系统建模与优化

煤泥发电是实现煤泥、煤矸石资源化利用最有效的途径,煤泥的湿法管道输送是煤泥燃烧发电过程中重要环节,存在最佳输送操作浓度问题。以煤泥输送流变特性、煤泥发热量特性以及流化床锅炉燃烧发电热力过程为基础,建立了煤泥湿法管道输送以及锅炉热利用模型,以及基于电耗与煤耗综合费用目标最小的最优经济性目标,通过非线性优化计算得到了电厂煤泥输送最佳含水量值。考虑到煤泥价格、电价以及其他参数对优化目标的影响,对煤泥湿法管道输送距离、电耗、煤耗等影响因素进行了系统分析与优化计算,得出了在上述参数发生变化时的最优操作工况以及相应组成成本情况。本研究结果对流化床锅炉运行优化与节能具有重要意义。     

Availability and reliability considerations in the design and optimisation of flexible utility systems

Industrial utility plants are usually comprised of many interconnected units that must constitute a flexible and reliable system capable of meeting process energy requirements under different circumstances (e.g. varying prices, demands, or equipment shutdowns). Also, in order to avoid large economic penalties, the design and operation of a utility plant should consider that the equipment is not fully reliable and that each item needs to receive preventive and corrective maintenance. Conventionally, these issues are handled by installing additional units according to rules of thumb or heuristics, which usually imply excessive capital costs and might even result in designs that cannot satisfy the specified demands for certain situations. In contrast, during the present work a systematic methodology has been developed to address the design and operation of flexible utility plants incorporating reliability and availability considerations. The suggested method is based on a novel modelling and optimisation framework that can address grassroots design, retrofit, or (pure) operation problems in which design and operational parameters are optimised simultaneously throughout several scenarios. Thereafter, it is possible to define maintenance and failure situations in different operating periods to ensure that the plant will be able to cope with them, while meeting process requirements at minimum cost. Hence, for design cases, the most cost-effective elements of redundancy can be determined without pre-specifying any structural options in the final configuration (e.g. equipment sizes, types, and number of units). Furthermore, the proposed (multiperiod) MILP formulation is robust enough to tackle problems of the size and complexity commonly found in industry, and has the potential of yielding significant economic savings.     

Optimization of district heating systems based on the demand forecast in the capital region

A district heating system (DHS) consists of energy suppliers and consumers, heat generation and storage facilities and power transmission lines in the region. DHS has taken charge of an increasingly important role as the energy cost increases recently. In this work, a model for operational optimization of the DHS in the metropolitan area is presented by incorporating forecast for demand from customers. In the model, production and demand of heat in the region of Suseo near Seoul, Korea, are taken into account as well as forecast for demand using the artificial neural network. The optimization problem is formulated as a mixed integer linear programming (MILP) problem where the objective is to minimize the overall operating cost of DHS. The solution gives the optimal amount of network transmission and supply cost. The optimization system coupled with forecast capability can be effectively used as design and longterm operation guidelines for regional energy policies.     

全流程卷式反渗透海水淡化系统操作优化

在对反渗透海水淡化系统流程和实际应用分析的基础上,提出了一种旨在降低总体操作费用的全流程反渗透海水淡化系统优化方法。首先根据系统变参数特点并充分利用蓄水池的缓冲能力,建立了反渗透过程机理模型、蓄水池动态过程模型以及变参数方程模型,实现了整个流程的方程描述。然后根据工艺流程和操作过程费用组成情况建立了总的操作费用模型,得到了全流程单位产水费用指标。在此基础上建立了以总体操作费用最低为目标、以开放方程描述的各模型方程为约束、以设备和产品质量限制为边界的优化命题,采用联立求解技术将该微分代数方程组成的优化（DAOP）问题转化为NLP问题后进行求解。最后对某海水淡化系统进行了实例研究。优化求解结果不仅表明本优化方法可以大幅降低实际操作费用,而且通过求解还可得到各种变参数条件下最优操作费用组成,以及实现费用最低的最优操作压力和流量变化曲线。本研究对优化海水淡化系统操作、降低总体操作费用具有重要意义。     

基于不确定蒸汽需求和设备故障的锅炉系统随机规划设计

公用工程系统中锅炉系统设计不仅要考虑锅炉应对发生的故障的可靠性,还要保证系统具有一定应对蒸汽需求的波动的可操作性。本研究针对满足不确定蒸汽需求和考虑设备故障的锅炉系统设计,提出基于数学规划法的设计模型：对生产过程波动引起的不确定蒸汽需求以概率表达,采用Markov模型分析锅炉故障,表达为以一定概率发生的不确定参数。优化模型采用二阶段随机规划策略对蒸汽需求不确定波动和锅炉故障实现引起的约束违背进行补偿,以降低不确定变量对目标函数和约束条件的影响。以年总费用最小为目标,建立混合整数线性模型（MILP）,实现锅炉系统配置,设备模式确定以及应对蒸汽需求波动和设备故障发生的补偿操作的优化设计。     

Optimization of the heat plant of district energy systems

This paper presents a scheme to achieve structural and operational optimization for the heat plant in a district energy system. A district energy system consists of energy suppliers and consumers, district heating pipelines and heat storage facilities in a region. Production and consumption of energy and transport of energy as well as storage of heat are taken into account in the model. The problem is formulated as a mixed integer linear programming (MILP) problem where the objective is to minimize the overall cost of the district energy system. Evaluation of the energy production cost is based on the daily operation for every season at the plant located at Suseo in Seoul, Korea. From the results of numerical simulations we can see that the district energy system is well approximated by the proposed model, and that the energy efficiency is improved by the application of the optimal operation conditions provided by the proposed model.     

热泵供暖系统动态操作节能优化

采用系统工程的方法优化热泵供暖系统操作, 实现节能运行具有重要意义。在建立热泵供暖系统基本动态方程的基础上, 给出了考虑室温控制精度和能耗节省的优化操控目标, 通过联立求解方法将原微分代数方程优化问题(DAOPs)转化为非线性规划问题, 然后对不同目标侧重下的动态操作优化问题进行了分析, 并提出了动态调整目标函数权重的优化策略。优化计算结果表明:在室温跟踪误差最大为0.85℃的情况下系统可实现16%以上的节能效果;环境温度和电价对系统操作优化具有重要影响, 根据两者的变化特征而动态调整目标函数权重可以进一步降低系统能耗4.7%左右。本研究对热泵供暖系统优化节能控制具有一定的现实意义。     

石化园区厂际提纯回用氢气系统优化

石化园区化肥厂、乙烯厂等富氢气体送往炼油厂,能够缓解炼油厂的氢气亏缺,因而石化园区厂际氢气系统优化具有重要的意义.本文构建了石化园区厂际提纯回用氢气系统超结构模型,以年度化总费用为目标函数,建立优化的数学模型,使用商业优化软件GAMS平台建模,用DICOPT作为求解器.对某石化园区的氢气系统进行了优化,结果表明,总的年度化费用比现行的系统降低了33.1%.     

Optimization of membrane gas separation systems using genetic algorithm

Genetic algorithm is applied for the optimization of the membrane gas separation systems. Air separation for enriched oxygen production is the selected system for investigation. Optimizations for single and triple objective functions are studied. The optimization problem involves the selection of the optimal system configurations from three alternatives, including continuous membrane column (CMC), single stripper permeator (SSP), and two stripper in series permeator (TSSP), as well as the optimal operating conditions. Models of the three configurations and the genetic algorithm procedure are computerized. The objective functions discussed are the Rony separation index, power consumption per unit equivalent pure oxygen, and the membrane area. Both high-pressure and low-pressure (vacuum) operation modes are optimized and the effects of different oxygen product purity and feed rate are analyzed. For single objective function optimization, the solutions obtained using genetic algorithm are slightly inferior in one case but superior in other cases compared to those by pure mathematical optimization methods. For triple objective function optimization, the Pareto plots presenting multiple trade-off solutions are generated. In general, compared to high-pressure operation mode, the product recovery and power consumption for low-pressure operation mode are lower. For almost all the cases studied, CMC configuration with its high flexibility appears in the optimal solutions.     

基于等效电法的钢铁企业蒸汽系统多目标运行优化策略

针对钢铁企业蒸汽系统汽源设备多、能源品种多的特点,以某大型钢铁企业实际运行的蒸汽系统为背景,运用等效电方法对蒸汽系统的能量转换作出科学分析,采用数学规划方法,建立多目标的混合整数非线性规划模型（MINLP）。采用分步优化方法,先以蒸汽系统小时能源总成本最低为目标,将得到的结果乘以松弛系数建立成本约束并以(火用)效率最高为目标,利用LINGO软件求得多目标-约束优化模型的全局最优解,再通过改变松弛系数得到一组Pareto前沿。最后与单目标优化和多目标遗传算法结果相比较,证明分步优化方法所得的结果是可行的综合最优结果,能够实现低成本和高(火用)效率的双目标,并为生产调度提供依据。     

集成炼油企业生产与能量系统的生产计划优化

炼油企业通常由物料生产系统与能量系统组成。传统的企业生产计划优化通常以生产系统物流优化为主, 能量系统基于物料生产优化结果进行产能优化以满足企业级能源供需平衡。此种优化方法不仅压缩了企业整体优化空间并且降低了燃料油与瓦斯等中间产品的利用率。基于装置能耗模型与能源供需以及中间产品的产耗质量平衡关系, 建立炼油企业生产系统与能源系统的集成优化模型, 通过求解MINLP模型进而实现企业生产物流与能流的集成优化。案例实践表明, 相较于传统分步优化方法, 集成优化方法不仅有效降低了全厂的生产成本, 并且实现了生产的节能减排。     

Economic process optimization strategies

The following deliberations are concerned with the application of economy criteria to the optimization of process-engineering plants. We are therefore not concerned here with criteria for investment decisions, i.e., decisions on the implementation orabandonment of an investment project, nor with criteria for the selection of the most profitable investment options from a series of alternatives. Instead, we are interested here in the question of how a plant, while at the planning stage, can best be designed, i.e., the most rational method of selecting process parameters, such as throughputs, pressures, temperatures, concentrations, etc. The problem of plant optimization only occurs, however, when there are design parameters which can be selected at will or can, at least, be varied within certain limits. This is however, virtually always the case. There is then a need for an optimization strategy in the form of an objective function which is either reduced to a minimum, where lowest possible production costs are the target, for instance, or advanced to a maximum, where high profitability is the aim. The inclusion of engineering economy functions, in the form, namely, of the net present value function and the internal rate of return function for definition of such objective functions, provides better defined information on the best possible choice of process parameters than was possible with methods previosly used, such as the annuity method, for instance. One obtains different values for the process parameters to be optimized, depending on the objective functionused, and therefore different investment costs and utility consumptions. These differences are delineated and quantified using a process-engineering example in the course of the following discussion. The example selected is a gas scrubber, the function of which is to remove and recover useful components from a flow of gas. The specific problem examined is one of heat recovery.     

装置蒸汽动力系统与热电厂运行同步优化

石化企业装置蒸汽动力系统通常独立设计和操作,忽视了与热电厂蒸汽动力系统的联系。热电厂蒸汽动力系统通常在固定的蒸汽和电力需求下进行优化,忽视了与装置蒸汽动力系统的联系。为实现石化企业蒸汽动力系统的全局优化,本文提出了用于装置蒸汽动力系统与热电厂运行同步优化的方法。首先使用热电厂透平和锅炉的设计及运行数据回归得到设备模型系数,依照现有结构建立热电厂蒸汽动力系统约束。然后以装置蒸汽动力系统设计和操作灵活性为区分,将装置分为三类：第一类装置蒸汽和电力需求无法调节;第二类装置可以通过减温减压调节蒸汽需求;第三类装置既可以通过减温减压调节蒸汽需求,也可以通过驱动选择调节热电需求。装置透平模型参数采用文献值,通过采集各类装置蒸汽和电力需求等数据建立装置蒸汽动力系统约束,最后通过热电厂与装置蒸汽和电力的连接关系建立耦合模型。耦合模型以年度费用为目标函数,其中包括热电厂运行费用以及装置透平和电机的年度投资费用,通过优化求解得到热电厂设备负荷分配方案以及装置蒸汽动力系统设计方案。通过算例论证了同步优化方法的可行性,与独立优化相比,同步优化降低年度费用451万美元。