Investigation the effect of adding graphene oxide into diesel/higher alcohols blends on a diesel engine performance

ABSTRACT

This article aims to study the influence of the addition of graphene oxide nanoparticles (GO) to diesel/higher alcohols blends on the combustion, emission, and exergy parameters of a CI engine under various engine loads. The higher alcohols mainly n-butanol, n-heptanol, and n-octanol are blended with diesel at a volume fraction of 50%. Then, the 25 and 50 mg/L concentrations of GO are dispersed into diesel/higher alcohols blends using an ultrasonicator. The GO structures are examined using TEM, TGA, XRD and FTIR. The findings show that there is a reduction in p_max. and HRR when adding higher alcohols with diesel fuel. Regarding engine emission, there is a significant improvement in emissions formation with adding higher alcohols. The addition of GO into diesel/higher alcohols blends improves the brake thermal efficiency by 15%. Moreover, the p_max. and HRR are both enhanced by 4%. The CO, UHC and smoke formation are reduced considerably by 40%, 50 and 20%, respectively, while NO_x level is increased by 30% with adding GO. Finally, adding high percentages of n-butanol, n-heptanol, and n-octanol with diesel fuel with the presence of GO has the potential to achieve ultra-low CO, UHC, and smoke formation meanwhile keeping high thermal efficiency level.     

Natural gas engine driven heat pump system – a case study of an office building

ABSTRACT

An eQUEST model was developed to conduct a simulation study of a natural gas engine-driven heat pump (GEHP) for an office building in Woodstock, Ontario, Canada. Prior to the installation of the GEHP, the heating and cooling demands of the office building were provided by rooftop units (RTUs), comprising of natural gas heater and electric air conditioner. Energy consumption for both GEHP and RTUs were monitored for operation in alternating months. These recorded energy consumptions along with weather data were used in the regression analysis. The developed eQUEST models were validated and calibrated with the regression analysis results with respect to the ASHRAE Guideline 14–2014. The eventual models were then applied to investigate the potential annual energy consumption, greenhouse gas (GHG) emission and energy cost savings achieved by using the GEHP in Woodstock, and other cities in Canada, particularly in Ontario.     

Radiation Effects on Blends of Poly(ε-Caprolactone) and Diatomites

Poly(-caprolactone) (PCL) was blended with diatomaceous earth (diatomite) and irradiated with -rays to introduce cross-linking between PCL molecules or both components. The unwashed diatomite containing a little of a volatile component showed high efficiency of introduction of cross-linking, whereas that with no volatile component showed low efficiency of introduction of cross-linking. Elongational viscosity, melt viscosity, and modulus of PCL/diatomite blend irradiated at various doses were significantly improved. Enzymatic degradation of the PCL/diatomite blend became faster than that of the PCL, though that of the blend irradiated became slower.     

热电联产发展中存在的环保问题及对策

结合我国热电联产项目发展现状,对其存在的主要问题进行了系统分析,从优化布局、清洁生产、节能降耗、推广热电冷联供、强化运行和管理等方面,提出了促进热电联产项目健康发展的对策建议.     

潮湿巷道风流温度与湿度变化规律分析

通过对矿井风流与围岩热湿交换理论的研究,提出理论上更可靠的风流温、湿度计算方法,编制了模拟解算矿井风流与围岩热湿交换的计算机程序,解算出潮湿巷道风流温度及湿度的变化规律,并分析通风时间、湿度系数等参数对风流温度及湿度变化规律的影响;沿风流流动方向,风流温度及湿度不断增加;巷道风流温度及湿度随着通风时间的增加而不断减小,通风时间越长减小的幅度越小;围岩壁面湿度系数对风流温度及湿度的影响较大,其他参数不变时,壁面湿度系数越大,风流温度越小,风流湿度越大。     

耦合装药中扩容半径的理论计算

根据扩容机理,建立了扩容爆破的物理模型,并且根据动量守恒定律得到了不同条件下最终炮孔挤压区域的半径公式.利用这些公式结合炸药和岩石的特性,以及装药参数得到了扩容结果.理论计算结果与试验数据相吻合.这些结果将有助于爆破扩容理论的完善以及该技术发展和推广应用.     

基于神经网络分类器的城市污水处理厂水力冲击预警系统

提出了一套基于神经网络分类器的城市污水处理厂水力负荷冲击预警系统,以期对进水水量骤增现象进行提前1天的预报,使污水处理厂可根据预报结果提前采取水力冲击防护措施,从而保证各单元的平稳运行.根据进水水量的涨幅将某污水处理厂12年日进水水量监测数据分为"常规"和"冲击"两类,重点对"冲击"数据进行提前1天的预测,并采用冲击漏报率、冲击误报率和报准率对模型的预测精度进行评价;同时,基于同样的建模方法和不同的训练、验证样本建立了N(1)、N(2)和N(3)3个平行模型,以对模型的鲁棒性和建模方法的可重复性进行考察.结果显示,3个模型对2010年、2011年和2012年3年测试样本的预测效果良好,冲击漏报率和报准率两项指标数值均较为稳定,分别在0~0.167和0.981~0.995之间浮动,冲击误报率虽然在数值上的浮动较大,最低为0.143,最高为0.500,平均为0.310,但仍在工程上的可承受范围内.该结果表明,本研究基于神经网络分类器所建立的3个神经网络模型预测精度高、鲁棒性好,显示出良好的性能,有望为污水处理厂水力冲击防护工作提供有力参考.     

MIEX~预处理对水源水中藻源DON的去除效能及机理

利用小试试验研究了磁性离子交换树脂预处理(MIEX~)对高藻水源水中的溶解性有机氮(DON)的去除效能,并通过分子量分布测定、双向电泳等手段初步分析了其作用机理.结果表明,MIEX~预处理对DON具有较好地去除效果,并可有效强化混凝工艺的处理效能.投加量为15m L/L时,MIEX~预处理可提升DON去除率20%;以铜绿微囊藻为主要种属的高藻水源水中藻类蛋白种类不低于230种,且大多数处于酸性端,分子量区间主要分布于15~40Ku、65~75Ku,处于MIEX~预处理可去除的分子量区间,从而具有较好的去除效果.综上所述,MIEX~预处理可以作为强化去除高藻水源水中DON的一种方法.