以预处理剩余污泥为燃料MFC产电性能及不连续供电的可行性

为探讨微生物燃料电池(microbial fuel cell,MFC)处理经预处理后剩余污泥的可行性以及不连续供电能力,采用双室MFC,以剩余污泥热处理上清液为基质进行启动和运行,通过改变电池阴极电子受体而导致电势差变化来监测其产电的运行稳定性.结果表明,反应器以氧气作为阴极电子受体148 h后启动成功,最大输出电压0.24 V,将阴极电子受体换为铁氰化钾时,能获得0.66 V的最大输出电压和4.21 W·m~(-3)的最大功率密度.当将阴极电子受体分别替换为氧气或者开路,又转换为铁氰化钾后,电池输出功率恢复迅速,电池对有机物去除效率基本不受影响,对化学需氧量(COD)、氨氮去除效率分别达70%和80%.本研究表明,利用预处理剩余污泥进行MFC处理和产电是可行的,可获得较高的功率密度,同时MFC可以实现不连续供电.     

微生物燃料电池处理含S2-/NH4+废水的研究

以除硫硝化微生物燃料电池(Microbial Fuel Cell,MFC)处理含S~(2-)/NH_4~+的模拟无机废水,研究了不同进水S~(2-)浓度下MFC的产电性能、污染物去除效果和阳极室硫累积情况.结果表明,除硫硝化MFC可实现同步阳极除硫和阴极硝化,并通过非生物电化学作用和生物电化学作用共同产电.进水S~(2-)浓度为(60.8±2.9)、(131.7±2.4)、(161.7±4.5)和(198.1±3.1)mg·L~(-1)时,最佳阳极碳刷清洗周期分别为3、3、3、4个换水周期,前3个进水浓度下的换水周期可分别缩短为6、8和8 h.MFC阴极硝化完全,不受进水S~(2-)浓度影响,但氧从阴极向阳极的渗漏导致阳极库仑效率较低(40%).适当增加进水S~(2-)浓度可增强MFC的产电性能并提高S~(2-)去除负荷和颗粒硫累积比.除硫硝化MFC适宜的进水S~(2-)浓度为(161.7±4.5)mg·L~(-1),相应的最大功率密度为5.77 W·m~(-3),周期产电量为(141.0±5.2)C,S~(2-)去除负荷为(0.31±0.00)g·L~(-1)·d~(-1),颗粒硫累积比达58%.阳极碳纤维丝上沉积有粒径约100 nm的颗粒硫.阳极悬浮物与沉积物相比,悬浮物中S0含量比例较高,而S6+含量比例较低.     

火电厂烟气排放对广州大气环境的影响

广州市是酸雨、可吸入颗粒物污染严重的地区之一,这与其能源结构以煤为主有关.广州发电厂以燃煤为主,其周围大气采样数据分析显示燃煤电厂可对周围大气环境造成较大影响,是酸雨前体物、可吸入颗粒物的主要排放源.酸雨破坏了生态环境,也阻碍了经济的发展;燃煤排放的烟尘细颗粒物属于可吸入颗粒物,其上附着的As、Cr等微量元素多为致癌物质和致基因毒性诱变物质,对周围居民的健康危害极大.最后, 对当前的环境保护工作及存在的问题进行了阐述.     

环保法规变化对电力工业发展的影响

从电力需求、发电能源结构、发电能源布局、电力成本及发电技术等方面阐述了环保法规的变化和环境标准的制定对电力工业发展的影响,指出了研究环境保护法规和环境标准趋势的重要性和必要性.     

The Influence of a Coal-Fired Power Plant in Turkey on the Chemical Composition of Rain Water in a Certain Region

In this study, the chemical composition of the rainwater in Yatağan, which is a region surrounding a coal power plant was investigated from February to April 2002. Rainwater samples were obtained from Yatağan, located northwest of Muğla City in Turkey. pH values and concentrations of major ions (Ca²⁺, Na⁺, K⁺, , , ) in the rainwater samples were analyzed. The pH varied from 5.1 to 7.9 with an average of 6.7 which was in alkaline range considering 5.6 as the neutral pH of cloud water in equilibrium with atmospheric CO₂. In the total of 30 rain events, only three events were observed with water in the acidic range (<5.6), which occurred after continuous rains. The equivalent concentration of components followed the order: Ca²⁺ > > Na⁺ > > > K⁺ > H⁺. The anion and cation concentrations in the rainwater samples showed a high sulphate concentration (131 μEq/l), as well as high sodium (40 μEq/l) and calcium (298 μEq/l) concentrations. These values indicate that one probable source of the high sodium concentration is fly ash, after the coal burning process and the power plant can be effective on level concentrations in rainwater. In addition, the dust-rich local and surrounding limestone environment might have caused the high concentration of Ca²⁺ in rainwater of the Yatağan Basin. Due to a large contribution of these cations to the sulphate neutralization action, the rainwater of this region displays only a moderate acidity, which does not cause significant environmental impact.     

Relation of waste generation and composition to socio-economic factors: a case study

To develop an effective waste management strategy for a given region, it is important to know the amount of waste generated and the composition of the waste stream. Past research has shown that the amount of waste generated is proportional to the population and the average mean living standards or the average income of the people. In addition, other factors may affect the amount and composition of waste. These are climate, living habits, level of education, religious and cultural beliefs, and social and public attitudes. This paper presents the findings of a study carried out in a suburban municipal area in Sri Lanka to determine the solid waste generation rate and waste composition based on field surveys and to determine the related socio-economic factors. A database was developed that included information on the quantity and composition of waste generated in a sample of households in the study area over a time period. The collected data was analysed to relate waste generation and composition data to various socio-economic factors. Over 400 sample households were selected for the study using a stratified random sampling methodology based on municipal wards and property values. A technique that considers both the number of households in a particular income group (property value range) and the standard deviation of property values within a given income group was used to determine the appropriate sample size for each municipal ward. Through category and regression analyses, the quantities of waste and waste composition were related to several socio-economic factors. The paper describes the basis for the sample selection, the methodology adopted for data collection, the socio-economic parameters used for the analysis, and the relationships developed from the analysis.     

中国煤电和核电的环境影响与健康风险比较

将煤电与核电的环境影响和健康风险从全燃料链角度进行比较 ,结果表明 ,煤电燃料链的环境影响和健康风险比核电燃料链大。     

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.     

Economic dispatch of power system containing wind power and photovoltaic considering carbon trading and spare capacity variation

The drying up of the fossil energy sources and the damage from unchecked carbon emissions demand the development of low carbon economy, which promotes the development of new energy sources, such as wind power and photovoltaic. However, the direct connections of wind/photovoltaic power into power grid bring great impacts on power systems, thus affecting the security and stability of power system operations, which challenges the power system dispatching. In despite of many methods for power system dispatch, lack of the models, for power system containing wind power and photovoltaic considering carbon trading and spare capacity variation (PSCWPCCTSCV), restricts the further optimal operations of power systems. This paper studies the economic dispatch modeling problem of power system containing wind power and photovoltaic, establishes the model of economic dispatch of PSCWPCCTSCV. On this basis, adaptive immune genetic algorithm is applied to conduct the economic operation optimization, which can provide the optimal carbon trading price and the optimal power distribution coefficient. Finally, simulations based on the newly proposed models are made to illustrate the economic dispatch of PSCWPCCTSCV. The results show that optimization with the proposed model can not only weaken the volatility of the new energy effectively, but also reduce carbon emissions and reduce power generation costs.     

燃煤电厂烟尘超低排放技术措施研究

针对越来越严格的环保要求,介绍了原有的除尘技术,并对除尘器新技术改造方案进行了说明,其中重点对电袋复合代替静电除尘技术、在静电除尘器中增置旋转电极、更改工频电源为高频电源、在电除尘器前加装低温换热器、脱硫后增加湿式电除尘器技术等方案进行比较分析。为了达到超低排放要求,对不同的烟尘超低排放实践工艺进行了说明,并结合东部沿海地区可再生能源发展空间有限的实际情况,提出加快推广超低排放技术在现有燃煤电厂的应用,实现传统煤电产业和环保产业的转型升级。