The determination and matching analysis of pinch point temperature difference in evaporator and condenser of organic rankine cycle for mixed working fluid

Exergo-economic analysis of the pinch point temperature difference (PPTD) in both evaporator and condenser of sub-critical organic Rankine cycle system (ORCs) are performed based on the first and second laws of thermodynamics. Taking mixture R13I1/R601a as a working fluid and the annual total cost per net output power Z as exergo-economic performance evaluation criterion, the effects of PPTD in evaporator ΔT_e, and the PPTD ratio of condenser to evaporator y, on the exergo-economic performance of ORCs are analyzed. Moreover, how some other parameters influence the optimal PPTD in evaporator ΔT_e,opt and the optimal PPTD ratio of condenser to evaporator y_opt are also discussed. It has been found that the exergo-economic performance of ORCs is remarkably influenced by ΔT_e and y, and there exists ΔT_e,opt and y_opt. In addition, ΔT_e,opt and y_opt are affected by heat transfer coefficient ratio of condenser to evaporator ß, the temperature of working fluid at dew point in condenser T_1a, and composition of R13I1/R601a: larger ß and T_1a lead to lower ΔT_e,opt and y_opt; by contraries, larger mass fraction of R13I1 makes ΔT_e,opt and y_opt increase, and y_opt increases linearly. The effects of the temperature of working fluid at bubble point in evaporator T_3a, mass flow rate of exhaust flue gas m_g, and inlet temperature of exhaust flue gas T_gi on ΔT_e,opt and y_opt are very slight. For comparison, three additional working fluids, namely R601a, R245fa, and 0.32R245fa/0.68R601a, are also taken into account.     

Deep learning architecture for air quality predictions

With the rapid development of urbanization and industrialization, many developing countries are suffering from heavy air pollution. Governments and citizens have expressed increasing concern regarding air pollution because it affects human health and sustainable development worldwide. Current air quality prediction methods mainly use shallow models; however, these methods produce unsatisfactory results, which inspired us to investigate methods of predicting air quality based on deep architecture models. In this paper, a novel spatiotemporal deep learning (STDL)-based air quality prediction method that inherently considers spatial and temporal correlations is proposed. A stacked autoencoder (SAE) model is used to extract inherent air quality features, and it is trained in a greedy layer-wise manner. Compared with traditional time series prediction models, our model can predict the air quality of all stations simultaneously and shows the temporal stability in all seasons. Moreover, a comparison with the spatiotemporal artificial neural network (STANN), auto regression moving average (ARMA), and support vector regression (SVR) models demonstrates that the proposed method of performing air quality predictions has a superior performance.     

Toxicity of sediment cores from Yangtze River estuary to zebrafish (<Emphasis Type="Italic">Danio rerio</Emphasis>) embryos

Toxicity evaluation is an important segment in sediment quality monitoring in order to protect aquatic organisms and human health. The purpose of this study is to assess the toxicity of sediments from three sediment cores in Yangtze River Estuary, China, using the zebrafish (Danio rerio) embryo tests. Fertilized zebrafish eggs were exposed to both whole sediments and sediment organic extracts prepared from collected sediments, in order to provide a comprehensive and realistic insight into the bioavailable toxicity potential of the sediments. As end points, development parameters (mortality, hatching rate, and abnormality) in the developing embryos were recorded during the 96-h exposure. The results showed that some samples increased mortality, inhibited the hatching of embryos, and induced morphological abnormalities. The embryonic toxicities presented serrated changes and irregular distribution with depth, which may be related to hydrodynamic effect and unstable environmental input. However, lethal and sub-lethal effects were more significant at the sub-surface sediments (10～40 cm), which indicated that the pollution is more serious in recent decades.     

利用三七渣固态发酵灵芝菌的研究

以川芝6号为发酵菌种,对三七渣固态发酵灵芝菌的培养基制备条件进行了研究和优化。结果表明,优化的培养基制备条件为采用过60目筛的三七渣,酵母粉添加量5%(质量分数,下同),磷酸二氢钾添加量0.025%,培养基含水量70%,不调节初始pH。在此条件下进行灵芝发酵,发酵培养物中灵芝菌丝体的质量分数最高可达31.27%。     

微波消解-流动注射分光光度法测定总氮和总磷

以碱性过硫酸钾溶液为消解液,采用微波消解-流动注射分光光度法测定水中总氮和总磷。在碱性过硫酸钾溶液中氢氧化钠质量浓度为9.6g/L、微波功率为320W、消解管长度为16m的条件下,总氮和总磷的检出限分别为0.040m g/L和0.020mg/L,线性范围分别为0.040～3.500mg/L和0.020～2.500mg/L,相对标准偏差分别为1.6%和1.0%。微波消解-流动注射分光光度法应用于河水、湖水、化工废水等实际水样中总氮和总磷的测定,加标回收率分别为95.7%～98.1%和97.2%～102.2%。     

用造纸污泥制备改性木质素磺酸钠

以甲醛作改性剂,用造纸污泥制备改性木质素磺酸钠,通过正交实验考察了各种因素对改性木质素磺酸钠减水性能的影响。实验结果表明：木质素磺酸钠进行羟甲基化反应时,在10g粗品木质素中加入甲醛7mL、反应温度为45℃、反应液pH为10—11的最佳条件下,改性木质素磺酸钠的减水率为25．2％。经测试,改性木质素磺酸钠的各项性能指标均达到普通减水剂的国家标准要求。     

重庆市废润滑油的污染状况及改善策略的研究

针对重庆市2005年3～9月的半年时间里,仅嘉陵江主城流域内即出现四起重大油污染事故的现象,开展了对重庆市各类废润滑油年均产生量及处理现状的跟踪调研,结果表明:重庆市废润滑油的不当处理,在造成约5.5万t/a宝贵资源大量浪费的同时,还形成了对长江水系的严重污染。为推动重庆市经济的可持续发展和有效的保护环境,对目前在废油处理中存在的问题,进行了深层次原因的分析,并提出解决这些问题的有效措施:完善废油回收处理机制及体系,统一建立一个年处理能力在10万t以上的废油专业再生厂,通过废油再生的产业化实现对资源的最大化利用和对环境污染的最小化。     

生物质废弃物快速热解制取富氢气体的实验研究

采用管式炉对红松锯屑快速热解制取富氢气体进行了实验研究,分析了反应器温度、物料粒径和催化剂对热解产物组成的影响.结果表明高温能加快生物质快速热解进程,减少炭和焦油生成量,利于富氢气体的生成,800℃时气态产物比例可达56.9 wt.%,气态产物中H2体积分数由4.3%(500℃下)上升至17.2%,H2 CO体积分数达68.3%.小粒径能增大热解气态产物的比例,但对气态产物组成的影响很小,这可能与红松锯屑本身质地疏松有关.以与生物质直接混合方式添加的煅烧白云石能使热解产物中H2含量增加,但造成产气过程变缓,炭生成量增多,富氢气体总产量未能得到提高.     

"十一五"脱硫计划实施前后长三角地区的硫沉降变化

采用RAINS ASIA模型研究了"十一五"期间长三角地区实施脱硫措施前后硫沉降超临界负荷的变化.结果表明,在90%保证率下,长三角地区硫沉降的临界负荷(以S计,下同)总值为78.38万t/a;2005年该地区硫沉降的超临界负荷总值为27.98万t/a,有45.6%区域面积的硫沉降超过临界负荷;如果不实施脱硫措施,到2010年长三角地区硫沉降超临界负荷的情景将急剧恶化,硫沉降超临界负荷总值将增长18.4%,超临界负荷的区域面积将增加到48.7%;"十一五"脱硫计划如期实施后,2010年长三角地区硫沉降超临界负荷总值将在2005年的基础上下降27.4%,但仍有39.1%的区域面积超过临界负荷,须采取更严格的措施控制硫沉降量.     

水葫芦厌氧发酵工程化应用研究

在实验室进行了接种率、破碎程度和温度等对水葫芦厌氧发酵产气率的影响研究.结果表明:水葫芦在中温35℃下,水葫芦和接种污泥的最佳接种率为1:1(总固体物质比),经简单切分后产气率最高,原料产气率为0.540 m3/d(以每千克固体含量计,下同);高温消化与中温消化相比,产气率无明显优势.在实验室研究基础上,对中国农村地区原有的沼气发酵工艺进行适当的改进,设计构建了5 m3 15 m3(酸化池 产气池)两级反应池,该反应池在夏季常温条件下运行良好,80 d的平均原料产气率达0.305 m3/d.