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污水处理工艺系统优化设计理论的研究与发展 总被引:2,自引:0,他引:2
综述了污水处理工艺系统优化设计理论研究的发展历史。分析总结了优化设计模型研究的发展规律以及需要解决的关键性问题;详细介绍了几个具有典型代表性的非线性系统优化模型的结构及寻优方法;从6个特征方面横向比较了部分优化数学模型的研究成果;结合国内研究动态提出了对该领域研究前景的展望。 相似文献
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以袋式除尘器装置为研究对象,考虑射流偏移,建立了脉冲喷吹清洁的三维CFD数值模型,并进行实验验证;对喷嘴与文丘里管优化设计,修改数值模型,研究了低能耗下的脉冲喷吹清灰效果;在将改进的喷嘴与文丘里管进行工程应用的过程中,研究了其对大气粉尘排放的影响。结果表明,建立的三维CFD模型展现出了高瞬态行为和可压缩效应,即在射流中表现出涡流环与冲击单元现象。与孔喷嘴相比,改进后的喷嘴设计对射流偏移进行了调整,并且使滤袋内脉冲压力增加了5.1%~13.3%,提升了清灰效果。对比喉部直径为85 mm的文丘里管,无文丘里管的设计使得射流不易进入滤袋中,导致滤袋内脉冲压力降低了41.4%~46.3%,引起清灰效果的下降;减小文丘里管喉部直径,可以减少回流,提升滤袋内脉冲压力,改善清灰效果。对比原始装置,安装了改进喷嘴与文丘里管的袋式除尘器能明显降低大气粉尘排放,以上研究结果可为脉冲喷吹清灰除尘器的优化设计提供参考。 相似文献
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以车载加油油气回收系统(ORVR)碳罐吸附过程的传质传热过程为研究对象,以正丁烷/氮气模拟挥发油气,采用固定床吸附实验测试和CFD数值模拟相结合的方法,结合物种转移模型、层流模型和多孔介质模型,建立了三维非稳态ORVR碳罐的数值模型,以穿透时间和温度为特征量,从腔体体积比和进出口直径两个方面对其结构进行初步优化设计。结果表明,吸附过程床层温度模拟值与实验值偏差率低于7%,双腔体体积比为5∶3时,ORVR碳罐吸附过程中温度升高值相比其他结构低0.9~1.6 ℃,安全性高;进出口直径为12 mm时,在吸附穿透时间和床层温度升温方面综合性能最好。本研究可为ORVR碳罐结构优化设计提供参考。 相似文献
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为预测评估过硫酸盐缓释材料的释放性能,对释放过程模型的构建以及模型的验证进行了研究。借助微积分思想,从材料体的概化分割、初始条件设定、每个小单元的状态标定、各个小单元中过硫酸钾的迁移变化量以及材料最外层释放过硫酸盐的量5个方面构建过硫酸盐缓释材料释放模型,利用Excel-VBA编程实现其释放过程模拟。采用欧盟标准NEN7375测试过硫酸盐缓释材料释放性能并获得模型参数。通过输入相关模型参数得到过硫酸盐动态迁移过程及其释放特征曲线,并利用实测数据与模拟数据进行拟合校验。结果表明,模型模拟值与实测值拟合较好,平均误差为1.88%,表明该模型设计合理,能够准确模拟过硫酸盐缓释材料释放过程,可作为缓释材料优化设计工具。 相似文献
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在研究旋风除尘器内气固两相的运动状况及分离机理方面,计算机模拟替代部分实验的方法能够优化设计旋风除尘器结构参数,提高其对微细颗粒的捕集效率,减少运行压力损失。本研究采用RSM模型和随机轨道模型对旋风除尘器内流场及浓度场进行模拟及实验。研究表明,旋风除尘器压力损失模拟结果与实验结果吻合较好,对于大于5μm的颗粒其捕集效率模拟结果与实验结果基本吻合;旋风除尘器外壁的颗粒浓度呈螺旋带状分布;如将排气管管径减少至原直径0.8倍,可使其对2μm颗粒捕集效率提高6.6%,但压力损失提高36.5%;颗粒的凝并作用有利于提高旋风除尘器微细颗粒的捕集效率。 相似文献
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M.J. Li D.S. Chen S.Y. Cheng F. Wang Y. Li Y. Zhou J.L. Lang 《Atmospheric environment (Oxford, England : 1994)》2010,44(32):3926-3934
Air pollutant emission inventory is an important input parameter for chemical transport models (CTMs). Since great uncertainties exist in the emission inventory, further improvements and refinements are required. In this paper, genetic algorithm (GA), a global search and optimization method, was applied to optimize the emission inventory for the Models-3/Community Multiscale Air Quality (CMAQ) model. An emission optimizing system based on GA was developed and embedded to the CMAQ through the design of several core modules, which implemented the basic functions such as emission adjusting, GA population initializing, CMAQ results evaluating and GA operating. Hypothetical and real-data experiments were respectively performed to examine the validity of GA for emission calibrating. GA showed good performance in both experiments and was always able to find the global minimum. The emission optimizing system was then used to calibrate seasonal PM10 emission inventories of Beijing. Results revealed that PM10 emission in Beijing was underestimated in 2002, an average of 62.74% higher adjustment factor should be imposed on the original emission in target months of different seasons. With the calibrated emission inventories, CMAQ model errors were decreased by 6.46% on average in different seasons. It was concluded that GA was a promising search technique in calibrating emission inputs for CTMs. 相似文献
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Empirical QSAR models are only valid in the domain they were trained and validated. Application of the model to substances outside the domain of the model can lead to grossly erroneous predictions. Partial least squares (PLS) regression provides tools for prediction diagnostics that can be used to decide whether or not a substance is within the model domain, i.e. if the model prediction can be trusted. QSAR models for four different environmental end-points are used to demonstrate the importance of appropriate training set selection and how the reliability of QSAR predictions can be increased by outlier diagnostics. All models showed consistent results; test set prediction errors were very similar in magnitude to training set estimation errors when prediction outlier diagnostics were used to detect and remove outliers in the prediction data. Test set prediction errors for substances classified as outliers were much larger. The difference in the number of outliers between models with a randomly and systematically selected training illustrates well the need of representative training data. 相似文献
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污泥作为典型的不透明非牛顿流体,在厌氧消化反应器内的流场具有复杂性,难以直接进行流场测试分析。结合计算流体力学(CFD)技术,分析污泥厌氧消化反应器内的流场分布情况,探讨污泥在反应器内混合效果和对消化过程的影响,以验证校核反应器优化设计和运行,改善污泥在消化反应器内的流动和混合性能并最终提高反应器性能。在综合文献及前期研究工作的基础上,系统分析并重点关注了CFD数值模拟过程当中多相流模型和湍流模型的选取、污泥流变特性应用、反应器流场评估优化及耦合生化模型等的研究现状及进展,最后总结了目前污泥厌氧消化反应器CFD数值模拟过程存在的问题。并指出在考量污泥流变学特性的基础上,利用传质模型将反应器流场和生化过程相耦合,构建流场-生化耦合模型,获取基质转化规律,为优化污泥厌氧消化反应器设计运行提供理论依据,是CFD应用于厌氧消化反应器数值模拟的发展方向。 相似文献
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Luo J Wu WM Carley J Fienen MN Cheng H Watson D Criddle CS Jardine PM Kitanidis PK 《Journal of contaminant hydrology》2008,98(1-2):50-60
A travel-time based approach is developed for estimating first-order reaction rate coefficients for transport with nonequilibrium linear mass transfer in heterogeneous media. Tracer transport in the mobile domain is characterized by a travel-time distribution, and mass transfer rates are described by a convolution product of concentrations in the mobile domain and a memory function rather than predefining the mass transfer model. A constant first-order reaction is assumed to occur only in the mobile domain. Analytical solutions in Laplace domain can be derived for both conservative and reactive breakthrough curves (BTCs). Temporal-moment analyses are presented by using the first and second moments of conservative and reactive BTCs and the mass consumption of the reactant for an inverse Gaussian travel-time distribution. In terms of moment matching, there is no need for one to specify the mass transfer model. With the same capacity ratio and the mean retention time, all mass transfer models will lead to the same moment-derived reaction rate coefficients. In addition, the consideration of mass transfer generally yields larger estimations of the reaction rate coefficient than models ignoring mass transfer. Furthermore, the capacity ratio and the mean retention time have opposite influences on the estimation of the reaction rate coefficient: the first-order reaction rate coefficient is positively linearly proportional to the capacity ratio, but negatively linearly proportional to the mean retention time. 相似文献
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Cytotoxicity estimation of ionic liquids based on their effective structural features 总被引:2,自引:0,他引:2
Cytotoxicity of a diverse set of 227 ionic liquids (taken from UFT/Merck Ionic Liquids Biological Effects Database) containing 94 imidazolium, 53 pyridinium, 23 pyrrolidinium, 22 ammonium, 15 piperidinium, 10 morpholinium, 5 phosphanium, and 5 quinolinium cations in combination with 25 different types of anions to Leukemia Rat Cell Line (IPC-81) was estimated from their structural parameters using quantitative structure - toxicity relationship “QSTR” methodology. Linear and nonlinear models were developed using genetic algorithm (GA), multiple linear regressions (MLR) and multilayer perceptron neural network (MLP NN) approaches. Robustness and reliability of the constructed models were evaluated through internal and external validation methods. Furthermore, chemical applicability domain was determined via leverage approach. In this work, it was revealed that the cationic moieties make the major contribution to cytotoxicity and the anionic parts play a secondary role in cytotoxicity of the ionic liquids studied here. Structural information represented in this work, can be used for a rational design of safer ILs. 相似文献
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Gregory A. Keoleian Dan Menerey 《Journal of the Air & Waste Management Association (1995)》2013,63(5):645-668
The environmental profile of goods and services that satisfy our individual and societal needs is shaped by design activities. Substantial evidence suggests that current patterns of human activity on a global scale are not following a sustainable path. Necessary changes to achieve a more sustainable system will require that environmental issues be more effectively addressed in design. But at present much confusion surrounds the incorporation of environmental objectives into the design process. Although not yet fully embraced by industry, the product life cycle system is becoming widely recognized as a useful design framework for understanding the links between societal needs, economic systems and their environmental consequences. The product life cycle encompasses all activities from raw material extraction, manufacturing, and use to final disposal of all residuals. Life cycle design (LCD), Design for Environment (DFE), and related initiatives based on this product life cycle are emerging as systematic approaches for integrating environmental issues into design. This review presents the life cycle design framework developed forthe U.S. Environmental Protection Agency as a structure for discussing the environmental design literature. Specifying environmental requirements and evaluation metrics are essential elements of designing for sustainable development. A major challenge for successful design is choosing appropriate strategies that satisfy cost, performance, cultural, and legal criteria while also optimizing environmental objectives. Various methods for specifying requirements, strategies for reducing environmental burden, and environmental evaluation tools are explored and critiqued. Currently, many organizational and operational factors limit the applicability of life cycle design and other design approaches to sustainable development. For example, lack of environmental data and simple, effective evaluation tools are major barriers. Despite these problems, companies are beginning to pursue aspects of life cycle design. The future of life cycle design and sustainable development depends on education, government policy and regulations, and industry leadership but fundamental changes in societal values and behavior will ultimately determine the fate of the planet’s life support system. 相似文献
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Daniel H. Loughlin S. Ranji Ranjithan John W. Baugh Jr. E. Downey Brill Jr. 《Journal of the Air & Waste Management Association (1995)》2013,63(6):1050-1063
ABSTRACT Designing air quality management strategies is complicated by the difficulty in simultaneously considering large amounts of relevant data, sophisticated air quality models, competing design objectives, and unquantifiable issues. For many problems, mathematical optimization can be used to simplify the design process by identifying cost-effective solutions. Optimization applications for controlling nonlinearly reactive pollutants such as tropospheric ozone, however, have been lacking because of the difficulty in representing nonlinear chemistry in mathematical programming models. We discuss the use of genetic algorithms (GAs) as an alternative optimization approach for developing ozone control strategies. A GA formulation is described and demonstrated for an urban-scale ozone control problem in which controls are considered for thousands of pollutant sources simultaneously. A simple air quality model is integrated into the GA to represent ozone transport and chemistry. Variations of the GA formulation for multiobjective and chance-constrained optimization are also presented. The paper concludes with a discussion of the practicality of using more sophisticated, regulatory-scale air quality models with the GA. We anticipate that such an approach will be practical in the near term for supporting regulatory decision-making. 相似文献
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Mauricio Santillana Philippe Le Sager Daniel J. Jacob Michael P. Brenner 《Atmospheric environment (Oxford, England : 1994)》2010,44(35):4426-4431
We present a computationally efficient adaptive method for calculating the time evolution of the concentrations of chemical species in global 3-D models of atmospheric chemistry. Our strategy consists of partitioning the computational domain into fast and slow regions for each chemical species at every time step. In each grid box, we group the fast species and solve for their concentration in a coupled fashion. Concentrations of the slow species are calculated using a simple semi-implicit formula. Separation of species between fast and slow is done on the fly based on their local production and loss rates. This allows for example to exclude short-lived volatile organic compounds (VOCs) and their oxidation products from chemical calculations in the remote troposphere where their concentrations are negligible, letting the simulation determine the exclusion domain and allowing species to drop out individually from the coupled chemical calculation as their production/loss rates decline. We applied our method to a 1-year simulation of global tropospheric ozone-NOx-VOC-aerosol chemistry using the GEOS-Chem model. Results show a 50% improvement in computational performance for the chemical solver, with no significant added error. 相似文献