Challenges when performing economic optimization of waste treatment: A review

Strategic and operational decisions in waste management, in particular with respect to investments in new treatment facilities, are needed due to a number of factors, including continuously increasing amounts of waste, political demands for efficient utilization of waste resources, and the decommissioning of existing waste treatment facilities. Optimization models can assist in ensuring that these investment strategies are economically feasible.Various economic optimization models for waste treatment have been developed which focus on different parameters. Models focusing on transport are one example, but models focusing on energy production have also been developed, as well as models which take into account a plant’s economies of scale, environmental impact, material recovery and social costs. Finally, models combining different criteria for the selection of waste treatment methods in multi-criteria analysis have been developed.A thorough updated review of the existing models is presented, and the main challenges and crucial parameters that need to be taken into account when assessing the economic performance of waste treatment alternatives are identified. The review article will assist both policy-makers and model-developers involved in assessing the economic performance of waste treatment alternatives.     

A new methodology for the synthesis of an optimum flexible water networks

This paper presents a new optimization model for the synthesis of direct reuse/recycle water networks with data uncertainties. In this case, data uncertainties were originated from the varying parameters of the water sources and sinks, which fluctuate within a given range of values. The aim of the method is to design an optimum flexible water network (FWN) that ensures minimum fresh water consumption and yet fulfilling all process constraints and uncertain parameters. The resulting FWN also features the minimum number of pipelines, which will ease process operation and control. Due to the complexity of the problem, multistep solving method based on theorem of corner points has been developed. The FWN obtained using the proposed method also includes information on the maximum flow rate in the pipelines, which is essential for detailed network design stage. The resulting model is a mixed integer linear problem (MILP), which may be solved to obtain global optimum solution. Two case studies were used to elucidate the newly proposed method.     

Optimization of biodiesel production from the waste cooking oil using response surface methodology

In this research, transesterification of the waste cooking oil has been studied. Response surface methodology (RSM) based on Box–Behnken design was used to investigate the effects of the main operating parameters, including the methanol to oil molar ratio, catalyst concentration, and reaction temperature, on the biodiesel yield. The results revealed that the catalyst concentration is the most important parameter. The maximum biodiesel yield under the optimized conditions was 99.38 wt.%. Thermogravimetric analysis (TGA) was used for the determination of biodiesel conversion and the results were compared with that of gas chromatography (GC) analysis, showing a very small difference. Furthermore, an empirical quadratic equation has been presented to show the relation between biodiesel conversion and product viscosity.     

基于模糊优选和CRITIC法的电力碳排放权区域初始分配——以华东电网区域为例

为科学、合理分配电力行业碳排放权,文章综合考虑公平、效率和可持续发展原则,构建了电力碳排放权分配体系,并利用CRITIC法确定指标权重,运用模糊优选法计算碳排放权初始分配比例,结果表明:单位地区生产总值电耗是最主要的影响因素,公平原则下的电力碳排放量、电力能源消费总量和火力发电量也是重要的影响因素;碳排放量问题是复杂的系统问题,碳排放权初始分配要综合考虑公平性原则、效率性原则和可持续原则。最后,为达到和谐稳定的碳排放权分配方案,希望在以后的研究中加强和谐型评判与改进方法。     

填埋场中多酚氧化酶活性测定条件优化

以填埋场垃圾为研究对象,在土壤酶测定方法为基础上,对垃圾降解过程中多酚氧化酶活性测定方法进行优化.通过单因素实验和正交实验确定最优反应条件,并验证其精确度及稳定性.最终确定垃圾降解过程中多酚氧化酶活性测定的最优条件为基质取用10 mL、反应温度为30℃、缓冲液为8mL、反应时间为1.5h、萃取剂量为20 mL、萃取时间为50 min,且优化后测定条件实验结果的RSD小于2.22％,测定结果较传统方法提高了41％ ～ 90％,说明优化后结果准确可靠,为垃圾中多酚氧化酶的活性测定提供了新的方法基础.     

基于信息熵与KPSO聚类法滑坡敏感性分析

选取南京地区滑坡为研究对象。基于DEM及遥感影像数据,选取样本,提取滑坡影响因素,计算影响因素熵值。利用K折粒子群优化(K PSO)方法,在GIS环境下针对地质资料缺乏情况,生成一个可靠的南京地区滑坡敏感图。自组织特征映射网络(SOM)法用作一个并行研究,结果作为K PSO法结果对比。结果表明,K PSO法聚类准确率为85%,自组织映射(S OM)法聚类结果准确率为80%,由此说明K PSO聚类法在地质资料不足前提下形成滑坡敏感区是一种行之有效的方法。     

产絮菌H8絮凝条件的优化

在实验室条件下对产絮菌H8絮凝条件进行优化,得出所需最佳碳源为葡萄糖;最佳复合氮源为酵母菌+蛋白质;最佳生长环境PH为8;培养温度为10℃,培养时间为20h。最佳絮凝条件:高岭土PH为9.0;助凝剂为Ca2+,加入Ca Cl2的最佳浓度为0.04%,菌液投加量为2%,静沉时间5min。     

Optimization of wastewater treatment alternative selection by hierarchy grey relational analysis

This paper describes an innovative systematic approach, namely hierarchy grey relational analysis for optimal selection of wastewater treatment alternatives, based on the application of analytic hierarchy process (AHP) and grey relational analysis (GRA). It can be applied for complicated multicriteria decision-making to obtain scientific and reasonable results. The effectiveness of this approach was verified through a real case study. Four wastewater treatment alternatives (A(2)/O, triple oxidation ditch, anaerobic single oxidation ditch and SBR) were evaluated and compared against multiple economic, technical and administrative performance criteria, including capital cost, operation and maintenance (O and M) cost, land area, removal of nitrogenous and phosphorous pollutants, sludge disposal effect, stability of plant operation, maturity of technology and professional skills required for O and M. The result illustrated that the anaerobic single oxidation ditch was the optimal scheme and would obtain the maximum general benefits for the wastewater treatment plant to be constructed.     

森林防火的几个数学问题

本文把森林灭火看成是一个系统,称为灭火系统.文中用最优化方法讨论了这个系统.     

清洁生产与环境保护对策

介绍清洁生产的概念及其产生的背景。针对江汉石油管理局的现状，提出了实施清洁生产的几点设想，以期尽快将清洁生产付诸实施的同时带来经济效益和环境效益。