Energy management in hybrid electric vehicles using optimized radial basis function neural network

This paper deals with energy management in hybrid electric vehicles. Use of radial basis function neural network (RBFNN) for the problem of energy management gains importance in the present decade. Use of genetic algorithm (GA) and particle swarm optimization (PSO) as optimization algorithms for parameter estimation is also well known. However, none of the researchers in the area tried to use GA and PSO as training algorithms for the problem. Hence in this paper, we propose two novel methods, based on RBFNN. The difference between RBFNN-based approaches in the literature and those used in this paper is the use of GA and PSO (i.e. optimising algorithms) as training algorithm to train RBFNNs. Interestingly, it is seen that the proposed approaches of this paper outperform RBFNN-based approaches in the literature with traditional training.     

Comparing environmental product footprint for electronic and electric equipment: a multi-criteria approach

Electronic and electric devices are now applied in most human activities: their diffusion is increasing worldwide; furthermore, most of them are characterized by a high replacement rate due to technological obsolescence. Consequently, environmental problems due to their diffusion are increasing; several aspects are involved from the energy consumption derived from their manufacturing processes and their use phases to their end-of-life (EOL) management. Such legislative (e.g. the European Energy Efficiency directive for household appliances) or voluntary interventions (e.g. based on the ISO standards) have been introduced for such devices: the aim is to incorporate environmental considerations in product design and manufacturing in order to benefit the environment. Some attempts are focusing on defining standardized models for the overall lifecycle including waste management. The aim of this paper is to introduce a reference model for comparing environmental product footprint of electrical and electronic equipment (EEE). All life cycles of EEE will be evaluated: a specific focus is on the EOL management process as their waste management represents a complex problem for developed and developing countries. A multi-criteria decision-making model will be developed based on the well-known analytical hierarchy process (AHP) method: differently from traditional AHP applications, an absolute model has been proposed in order to compare EEE effectively from an environmental point of view. A case study validation regarding large household appliances is proposed.     

浅谈太阳能电池生产用超纯水的工程设计

宜兴某太阳能电池生产厂以市政自来水作为太阳能电池生产用的纯水水源,该工程以超滤( UF )、反渗透( RO)和电除盐( EDI)的全膜法工艺为主,投产运行3年的结果表明,系统性能稳定,出水水质大大优于太阳能电池生产用水水质标准,可达到超纯水水质标准。     

高压交流、直流输电线路环境电场对比研究

将500kV高压交流输电线路与新兴的500kV高压直流输电线路电场环境进行了监管标准、监测技术及场强分布等方面的分析和对比,归纳了减弱高压输电线路电磁环境影响的措施,并提出针对高压直流输电线路进行源头控制的管理措施。     

500 kV超高压输电线路附近工频电场分析

运用工频电磁场理论研究了高压输电线路下方的电磁环境问题。工频电磁环境主要包括工频电场、工频磁场、无线电干扰和可听噪声等四个方面。对导线布置形式、避雷线、不平衡负载等影响高压输电线路附近工频电场的参数进行分析,提出了一些降低线路下方工频电场的有效措施。     

预煅烧铜渣与生物质混合催化气化

在热重分析仪上,以1 000℃预煅烧5h铜渣为催化剂,在氧气气氛下,进行生物质的催化气化实验.在预煅烧铜渣/生物质(质量比)为0.5～2.5范围内,考察铜渣的催化性能.实验结果表明,在所研究的比例范围内,生物质热解阶段和气化阶段的最大失重速率呈现先增大后减小的趋势,且在比例为2时都达到最大值.研究表明,铜渣中的铁氧化物在气化过程中被还原为金属Fe和FeO,而生成的FeO与SiO2反应生成Fe2SiO4.在铜渣与生物质混合催化气化反应中,金属Fe从铜渣中的铁氧化物中被还原出来而提供了活性位,表明铜渣因含有易还原的铁元素而具有催化作用.     

高炉渣调质作为矿渣纤维原料

以铁矿废石和粉煤灰的混合物为添加剂对高炉渣进行调质,调质后的矿渣作为制备矿渣纤维的原料,并对影响机理进行分析。结果表明,随着添加剂比例升高,矿渣的酸度系数M_k和粘度系数M_η升高,氢离子指数pH降低,矿渣纤维的稳定性逐渐增加,矿渣粘度较小,其主晶相为黄长石。配加添加剂比例较高时熔渣凝固后无矿物析出,形成均匀的无限固溶体。矿渣更加适合制备矿渣棉纤维。     

轨道交通电连接器国内环境试验标准分析

铁路作为国民经济大动脉、国家重要基础设施和大众化交通工具,在国民经济和社会生活中的作用至关重要。电连接器是铁路车辆设备的关键器件之一,有着很高的安全性和可靠性要求。着重分析了轨道交通电连接器标准中的电性能、机械性能和环境适应性的试验方法,并对这些标准进行了对比总结。经分析发现,更新版本的标准比被替换的标准增加了试验项目,细化了试验条件。然而,目前国内轨道交通电连接器的标准版本相对落后,仅GB/T 25022和GB/T 25023为2010年发布实施。亟需新的标准或试验方法以指导轨道交通电连接器的质量检测和认证。     

电解锰渣无害化处理技术简

电解锰渣是湿法电解金属锰工艺产生的废渣,环境危害性大、治理难度大。为消除锰渣的污染性,实验研究了锰渣浸出液中污染物种类,并分别采用生石灰和氢氧化钠作处理剂,从成本、处理效果方面进行比较,确定处理剂以及最佳运行条件。得出结论：锰渣中主要污染物为锰和氨氮（分别超过相关标准453倍和26倍）,选取生石灰做处理剂,处理后的锰渣,浸出液中锰离子和氨氮的减排量分别达到99%和97%以上,水溶性锰离子浓度低于5 mg/L、氨氮浓度低于25 mg/L,均达到《污水综合排放标准》（GB8978-1996）中的排放标准;反应时间30 h以上、避免雨淋、不通风、无日照为最佳反应条件。     

电絮凝处理牛仔布印染废水

用铁分别作为电絮凝反应系统的阴极和阳极,研究电絮凝法对牛仔布印染废水的处理效果。考察了电极电压、反应时间和pH等因素对电絮凝法去除实验所用废水中COD和色度效果的影响。结果表明,电极电压和反应时间是主要的影响因素,pH次之。电极电压24 V,反应时间35 min,pH为7.4时,脱色率可达99%,COD去除率在70%左右,处理效果最佳。因此,电絮凝法可以作为印染废水的预处理工艺,有效降低废水COD和色度。