基于排队论的城市垃圾箱最佳间距研究

针对城市垃圾箱最佳间距的研究不够精细的现状,本文通过建立排队论模型得到了可供不同城市参考的城市垃圾箱最佳间距参数表。通过对部分城市街道的垃圾箱摆放间距情况进行实地调查,运用层次分析法将影响垃圾箱间距分布的多重因素转化为单因素;建立了基于指数分布的数学模型,利用排队论分析单因素状态下的垃圾箱间距分布,得到了求解城市垃圾箱最佳间距的一般方法。     

Evaluating the impact of uncertainty and variability on the value chain optimization of a forest biomass power plant using Monte Carlo Simulation

Mathematical programming models have been used to optimize the design and management of forest bioenergy supply chains. A deterministic mathematical model is beneficial for making optimum decisions; however, its applicability to real-world problems may be limited because it does not capture all the complexities, including uncertainties in the parameters, in the supply chain. In this paper, a combination of Monte Carlo Simulation and optimization model is used to evaluate the impact of uncertainty in biomass quality, availability and cost, and electricity prices on the supply chain of a forest biomass power plant. The optimization model is a deterministic mixed integer non-linear model with monthly time steps over a 1-year planning horizon. Variability in biomass quality, i.e. moisture content (MC) and higher heating value (HHV), based on the historical data of a real case study is studied in detail and fitted probability distributions are used in the model, while for electricity prices different scenarios are considered. The results show that the impact of variability in the MC on profit is higher than that of uncertainty in HHV. It is observed that the annual profit ranges between $13.3 million and $17.9 million in the presence of all possible uncertainties while its average is $15.5 million. Uncertainty in biomass availability and cost and electricity price results in the risks of having annual profit of less than $14 million and low monthly storage levels.     

Comparative evaluation of sizing of metal hydride (MH) hydrogen storage tank filled with different alloys

This study presents a comparative analysis of sizing of metal hydride tank filled with different alloys. Alloys include solid solutions and intermetallic compounds of the generic families AB₅, AB₂, AB, A₂B. The effects of the different alloys on the sizing of metal hydride hydrogen storage tanks are complicated and depend on many factors. In this paper, a thermoeconomic optimization analysis with a simple algebraic formula was presented for the estimation of optimum metal hydride tank surface area for heat transfer enhancement. The optimum area of the metal hydride tank filled with commercially available different alloys (LaN₅, Ti_0,98Zr_0,02V_0,43Fe_0,09Cr_0,05Mn_1,5, TiFe, Mg₂NiH₄) was evaluated and compared by the developed method. The optimum net savings and the value of payback were determined for four alloys. It is found that mathematical model can be employed for the determination of optimum metal hydride tank design and increasing net savings according to alloy types. The optimum areas of the tanks filled with four alloys (LaN₅, Ti_0,98Zr_0,02V_0,43Fe_0,09Cr_0,05Mn_1,5, TiFe, Mg₂NiH₄) were calculated as 0.136, 0.130, 0.133, and 0.173 m², respectively. The optimum net savings for tanks filled with four alloys (LaN₅, Ti_0,98Zr_0,02V_0,43Fe_0,09Cr_0,05Mn_1,5, TiFe, Mg₂NiH₄) are about 461.0, 409.3, 419.6, and 979.6 $ and the values of payback are about 1.98, 2.1, 2.17, and 1.37 years, respectively. Excessive area of the metal hydride tank would not be as economical as the optimum tank area. Thermal management of metal hydride tank must be designed for optimum points calculated at which maximum savings occur.     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.     

基于两级拓扑优化的振动台扩展台面设计与试验验证

根据拓扑优化基本原理,利用OptiStruct进行振动台扩展台面的结构最优化设计,通过两级拓扑优化完成结构的拓扑寻优。首先利用整体级拓扑优化,找到结构的整体最佳构造。然后利用局部级拓扑优化,对局部结构进行拓扑寻优,最终完成产品的结构设计。试验结果与仿真结果对比表明,误差在5%以内,表明方法的有效性和实用性。     

What matters for work engagement? A diary study on resources and the benefits of selective optimization with compensation for state work engagement

This diary study addresses the benefits of employees' daily use of selective optimization with compensation (SOC) for state work engagement. We hypothesized that day‐level SOC not only directly fosters work engagement but that SOC also reveals its beneficial effects for work engagement in interaction with both external and internal resources. Specifically, we proposed SOC substitutes for job control, role clarity, and state of being recovered, thus helping employees manage low daily levels of these resources. We tested our hypotheses with a sample of 138 employees who completed two daily surveys over a total of 545 workdays. Results of multilevel analyses revealed that SOC benefits work engagement in both proposed ways. First, day‐level SOC was positively related to state work engagement. Additionally, day‐level role clarity and state of being recovered predicted state work engagement, but day‐level job control did not. Second, SOC benefitted state work engagement by offsetting low levels of role clarity and being recovered, and by boosting job control in their respective relationships with work engagement. The results suggest that by using SOC at work, employees can actively enhance their own work engagement on a given workday. This knowledge provides promising starting points for the development of interventions.     

城市建筑周边绿地景观格局优化方法研究

现有绿地景观格局优化方法,存在梯度变化不规律、边缘斑块密度不均等缺陷.针对该问题,提出基于窗口移动法的新型城市建筑周边绿地景观格局优化方法,通过确定研究区域与数据来源,以边缘斑块密度、梯度、绿地景观格局化指数为绿地景观格局化指数,确立研究方法.模拟研究环境设计实验结果表明,采用改进格局优化方法可改善城市建筑周边绿地景观格局梯度变化不规律问题;在特定空间分布状态下,还可避免边缘斑块密度不均的现象发生.     

几种医疗垃圾处理技术综述

医疗废物是一类危害极大的特殊废物。自20世纪50年代起,医疗废物的处理已引起世界各国的广泛重视。目前,国内外学者对医疗废物处理技术的研究日益丰富,已经取得了一定的研究成果。在此基础上,通过综合比较焚烧处理、高压蒸汽灭菌处理、化学处理、微波处理、热解处理等几种医疗废物处理技术,综合评定了各种处理工艺的技术参数及优缺点,最后比较分析得出了高温热解法具有多方面的优点,是目前国内外首推的医疗废物处理技术。     

快速模拟退火组合优化法在区域水环境质量评价中的应用

以地表水环境质量准标为基础,设定水体污染物的基准值,构建用于水体的一种环境质量评价的模型,利用快速模拟退火组合优化法对相关参数进行优化,而得到一个对多种水污染物都适用的综合水体环境质量评价指数公式。该公式形式简单,计算容易,评价结果具有可比性。     

超声波加湿室内微生物气溶胶浓度与优化方法

为明确超声波加湿对冬季供暖室内微生物气溶胶粒径与浓度分布的影响,以及降低暴露风险的有效方法,针对典型办公室环境,基于模拟实验法与正交试验法,探究不同相对湿度(RH=40％、55％、70％)、加湿器水质(蒸馏水、自来水、凉白开)和窗户开度(0、1/6、1/3)下,超声波加湿前后室内细菌、真菌气溶胶按粒径分级的浓度变化,并...