Optimizing the specific surface area of fly ash-based sorbents for flue gas desulfurization

High performance sorbents for flue gas desulfurization can be synthesized by hydration of coal fly ash, calcium sulfate, and calcium oxide. In general, higher desulfurization activity correlates with higher sorbent surface area. Consequently, a major aim in sorbent synthesis is to maximize the sorbent surface area by optimizing the hydration conditions. This work presents an integrated modeling and optimization approach to sorbent synthesis based on statistical experimental design and two artificial intelligence techniques: neural network and genetic algorithm. In the first step of the approach, the main and interactive effects of three hydration variables on sorbent surface area were evaluated using a full factorial design. The hydration variables of interest to this study were hydration time, amount of coal fly ash, and amount of calcium sulfate and the levels investigated were 4-32 h, 5-15 g, and 0-12 g, respectively. In the second step, a neural network was used to model the relationship between the three hydration variables and the sorbent surface area. A genetic algorithm was used in the last step to optimize the input space of the resulting neural network model. According to this integrated modeling and optimization approach, an optimum sorbent surface area of 62.2m(2)g(-1) could be obtained by mixing 13.1g of coal fly ash and 5.5 g of calcium sulfate in a hydration process containing 100ml of water and 5 g of calcium oxide for a fixed hydration time of 10 h.     

利用百合(Lilium davidii)根尖细胞的微核细胞率作为环境监测指标的探讨

首次报道了利用百合根尖细胞微核细胞率作为环境监测指标的可行性和优越性。实验证明,百合根尖比蚕豆根尖细胞的微核细胞率更敏感。     

The many benefits of employee well‐being in organizational research

We undertake three objectives in this Incubator. We begin with a discussion of how well‐being has been considered in organizational research. Second, we provide an overview of the relationship between employee well‐being and such workplace outcomes as job performance, employee retention, and cardiovascular health. Third, we introduce exciting research directions. Copyright © 2012 John Wiley & Sons, Ltd.     

Environmental demand effects on the energy generation of Karkheh reservoir: Base and climate change conditions

Environment, Development and Sustainability - Reservoir is a hydraulic structure that regulates river water to supply different sectors’ demands such as municipal, agricultural, and...     

衍生化气相色谱法测定黄磷诱发氧化水中苯酚降解产物

利用衍生化气相色谱法对黄磷诱发氧化苯酚降解产物进行了研究，在磷酸存在下，以甲醇作酯类衍行生试剂，分别和ＳＥ－５２和ＨＰ－１７石英毛细管双柱结合ＧＣ－ＭＳ进行分离定性定量，黄磷诱发氧化苯酚降解产物以羧酸为主，在反应温度５０℃时，表现为一级反应特征，速率常数（Ｋ）：０．０７７ｍｉｎ＾－１，半衰期（ｔ１／２）：９．０ｍｉｎ。     

环境样品中非邻位取代共平面多氯联苯的测定

本文对测定实际环境样品中痕量非邻位取代共平面多氯联苯的方法进行了研究。样品萃取，净化后，经活性碳性层析分离，利用ＧＣ－ＥＣＤ毛细管柱双柱定性，外标法进行定量，测定了土壤和鱼肌肉中μｇ·ｋｇ＾－１数量级的３，３‘，４，４’－四氯联苯及ｎｇ·ｇｋｇ＾－１数量级的３，３‘，４’，５－五氯联苯。     

关于国际环境管理标准ISO14000系列

本文简介国际环境管理标准ＩＳＯ１４０００系列的内容，论述了其特点及其在国际贸易、产业结构、公司经营的影响，并提出了我国采用ＩＳＯ１４０００系列应做的工作。     

崇明岛公路两侧蔬菜地土壤和蔬菜重金属污染研究

为了研究崇明岛公路两侧土壤和蔬菜重金属污染状况,采集陈海、北沿公路两侧蔬菜地土壤、蔬菜和路面灰尘样品,测定重金属Pb、Cd、Cu、Zn含量.结果表明,以上海市土壤环境背景值上限值为评价标准,所有土壤样品Pb、Cd、Cu和Zn的超标率分别为10.1%、25.4%、6.5%和8.7%;以HJ 332-2006 食用农产品产地环境质量评价标准中蔬菜地土壤环境质量评价指标限值(pH值6.5～7.5)为标准,Cd超标率在21.0%,仅有不到3%样品Pb含量超标,而没有样品Cu、Zn含量超标.以国家食品卫生标准中规定的重金属限量为标准,路侧蔬菜样品Pb含量超标率为43.2%,Cd为18.6%,Zn和Cu则小于5%.由此可见,崇明岛主要公路两侧土壤污染以Cd为主,而蔬菜污染则以Pb为主.在长期运营的前提下,低交通量公路两侧50 m范围内耕作层土壤和两侧作物会发生一定程度的重金属污染,路面灰尘是路侧土壤和蔬菜的潜在污染源.     

光氧化吸附矿井水中微量有机物试验研究

针对目前煤矿矿井水资源化过程中存在有机污染物的问题，考察了采用紫外光氧化分解的机理及影响因素。结果表明：紫外光对矿井水中有机物（主要是乳化油）有一定的氧化分解能力，能有效地促使有机物大分子破裂，有利于活性炭的吸附处理。在合理的工艺条件下，可使水中有机物去除率达到95%以上。     

A real-time optimization method for economic and effective operation of electrostatic precipitators

ABSTRACT

Electrostatic precipitators (ESP) have been considered as the main particulate matter (PM) removal facility in the energy industry. This paper presents a real-time optimization method for a one-chamber industrial ESP in an ultra-low emission power plant with an intelligent optimization system (IOS). The IOS seeks to optimize the energy consumption of ESP subject to the outlet concentration requirement in real-time. A coordination control logic is designed to regulate the optimized operation set points with varying operation conditions. The operation optimized by the IOS is compared with the operations under PID (proportion-integral-derivative) and manual control. The results show that the IOS improves the emission compliance rate from 95% of manual control to 100% and the medium concentration is tuned to be 46.6% closer to the emission target. Furthermore, a good balance between emission and energy consumption is achieved, with 35.50% energy conservation for the same emission upper limit of 30 mg/m³. These results prove that the IOS significantly contributes to the efficient operation and economic PM removal by ESP for the energy industry.