Evaluation of Dynamically Dimensioned Search Algorithm for Optimizing SWAT by Altering Sampling Distributions and Searching Range

The primary advantage of Dynamically Dimensioned Search (DDS) algorithm is that it outperforms other optimization techniques in both convergence speed and searching ability for parameter sets that satisfy statistical guidelines while requiring only one algorithm parameter (perturbation factor) in the optimization process. Conventionally, a default value of 0.2 is used as the perturbation factor, where a normal distribution is applied with mean sampling distribution of zero and variance of one. However, the perturbation factor sensitivity to the performance of DDS for watershed modeling is still unknown. The fixed‐form sampling distribution may result in finding parameters at the local scale rather than global in the sampling space. In this study, the efficiency of DDS was evaluated by altering the perturbation factor (from 0.05 to 1.00) and the selection of sampling distribution (normal and uniform) on hydrologic and water quality predictions in a lowland agricultural watershed in Texas, United States. Results show that the use of altered perturbation factor may cause variations in convergence speed or the ability to find better solutions. In addition, DDS results were found to be very sensitive to sampling distribution selections, where DDS‐N (normal distribution) outperformed DDS‐U (uniform distribution) in all case scenarios. The choice of sampling distributions could be the potential major factor to be attributed for the performance of auto‐calibration techniques for watershed simulation models.     

A review on optimization techniques for sizing of solar-wind hybrid energy systems

Solar and wind are inexhaustible, abundant, environmentally friendly and freely available renewable energy sources. Integration of these two sources has always been a complex optimization problem which requires efficient planning, designing and control strategies. Many researchers have designed cost effective and efficient hybrid solar-wind energy systems by using various available software tools and optimization algorithms. With the advancement in artificial intelligence methods, various new optimization techniques have been developed in the last few decades. This paper presents state of the art optimization methods applied to hybrid renewable based energy systems. A brief introduction of each technique is presented along with papers published in different reputed journals. This article also reviews different power management, control strategies and multi-objective optimization methods used for hybrid wind-solar systems. A case study is presented to demonstrate the efficacy of some of the algorithms.     

一种基于BP网络和粒子群算法的拱坝可靠度分析方法

为了进行极限状态方程不明确的大型结构可靠度分析,提出了结合神经网络和粒子群优化计算拱坝可靠度的算法。确定性力学分析采用ANSYS软件,利用BP神经网络来模拟高度非线性映射关系的功能函数,基于罚函数和粒子群优化法进行可靠指标计算。综合C语言、ANSYS的APDL二次开发以及MATLAB混合编程技术,编制了该算法的可靠度分析程序。算例表明,该方法适应于隐式功能函数的复杂结构可靠度分析。     

发动机配气机构环境适应性及可靠性新技术：凸轮型线DoE优化设计

汽车发动机作为汽车的核心部件,其环境适应性及可靠性尤为重要。本文应用先进的DoE理论,基于EXCITE Timing Drive模型,对国内某款1．6LVCT汽车发动机配气机构凸轮型线进行优化设计,优化后发动机环境适应性及可靠性有了显著提升。     

老油田地面系统优化与环境保护

针对老油田地面系统存在的环保问题,文章从油田地面工艺与环境保护结合的角度,通过采用地面工艺优化简化、老油田数字化管理升级改造、伴生气综合利用、新工艺新技术等,系统总结长庆油田对于老油田地面系统在环保方面的处理方法。有利于保护油区环境、降低老油田环境污染事故的发生频率,为下一步工作提供借鉴。     

袋式除尘器结构优化设计与虚拟装配关键技术

针对袋式除尘器大型化后在结构轻质化、模块化结构的可靠装配和焊接变形控制等方面面临的诸多问题,开展了系统的研究,发展了不同结构类型袋式除尘器快速参数化建模、整体和局部联合计算、梁柱连接节点的简化设计、整体计算中复杂花板结构简化、非线性多约束结构优化等复杂关键技术,开发了袋式除尘器结构计算和优化设计软件;提出了基于世界树的实体层次系统结构建模框架,开发了大型模块化袋式除尘器虚拟装配软件;分析了主要结构焊接变形、应力和应变分布及变化规律,提出了反变形法消除焊接变形的控制方法,并开展了实验验证。     

Optimizing Bankfull Discharge and Hydraulic Geometry Relations for Streams in New York State1

Mulvihill, Christiane I. and Barry P. Baldigo, 2012. Optimizing Bankfull Discharge and Hydraulic Geometry Relations for Streams in New York State. Journal of the American Water Resources Association (JAWRA) 48(3): 449-463. DOI: 10.1111/j.1752-1688.2011.00623.x Abstract: This study analyzes how various data stratification schemes can be used to optimize the accuracy and utility of regional hydraulic geometry (HG) models of bankfull discharge, width, depth, and cross-sectional area for streams in New York. Topographic surveys and discharge records from 281 cross sections at 82 gaging stations with drainage areas of 0.52-396 square miles were used to create log-log regressions of region-based relations between bankfull HG metrics and drainage area. The success with which regional models distinguished unique bankfull discharge and HG patterns was assessed by comparing each regional model to those for all other regions and a pooled statewide model. Gages were also stratified (grouped) by mean annual runoff (MAR), Rosgen stream type, and water-surface slope to test if these models were better predictors of HG to drainage area relations. Bankfull discharge models for Regions 4 and 7 were outside the 95% confidence interval bands of the statewide model, and bankfull width, depth, and cross-sectional area models for Region 3 differed significantly (p < 0.05) from those of other regions. This study found that statewide relations between drainage area and HG were strongest when data were stratified by hydrologic region, but that co-variable models could yield more accurate HG estimates in some local regional curve applications.     

A-A2/O工艺脱氮实践运行效果及优化

A-A²/O工艺是预缺氧/厌氧/缺氧/好氧组成的生物脱氮除磷工艺,广州市某污水处理厂采用该工艺处理城市污水,具有同时去除有机物、脱氮除磷能力,但是TN去除率较低。分析了其TN去除率低的原因,并提出相应措施。该水厂针对本厂水质特征以及影响工艺脱氮性能的主要因素,优化了工艺控制参数,提高了TN去除率和TN达标保证率。     

深圳笔架山水厂优化节水的实验研究

针对目前我国城镇需水量大、原水费用高的问题,大多数水厂通过降低自用水量的方式节约水资源。经过在笔架山水厂进行的生产性实验,优化耗水工艺的运行条件,挖潜了该水厂的节水空间,自用水量降低。优化后,全处理系统可节约水资源76.83万m3/a,耗水率由原来的2.08%下降到1.49%,同时水厂的经济效益也得到了显著提高,优化后可在原来的基础上节约运行成本近60万元/a。     

复合型微生物絮凝剂絮凝条件的优化

采用富集-分离-筛选的方法,从土壤中筛选得到3株具有较高絮凝活性的菌种,将其两两混合培养后,发现其对高岭土悬液的絮凝率均有较明显的提高,并且具有更好的热稳定性。实验结果表明,其最佳絮凝条件为:在pH=9时,微生物絮凝剂的最佳投量为2.0 mL,以2.0 mL 2.0%的CaCl2为助凝剂,对100 mL浓度为1 g/L的高岭土悬液的絮凝率可以达到90%以上;在与无机絮凝剂(10%PAC)和有机絮凝剂(0.1%PAM)的对比中,表现出了更高的絮凝活性和更好的絮凝效率。