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.     

Risk-based optimal operation of hybrid power system using multiobjective optimization

ABSTRACT

This paper solves an optimal generation scheduling problem of hybrid power system considering the risk factor due to uncertain/intermittent nature of renewable energy resources (RERs) and electric vehicles (EVs). The hybrid power system considered in this work includes thermal generating units, RERs such as wind and solar photovoltaic (PV) units, battery energy storage systems (BESSs) and electric vehicles (EVs). Here, the two objective functions are formulated, i.e., minimization of operating cost and system risk, to develop an optimum scheduling strategy of hybrid power system. The objective of proposed approach is to minimize operating cost and system risk levels simultaneously. The operating cost minimization objective consists of costs due to thermal generators, wind farms, solar PV units, EVs, BESSs, and adjustment cost due to uncertainties in RERs and EVs. In this work, Conditional Value at Risk (CVaR) is considered as the risk index, and it is used to quantify the risk due to intermittent nature of RERs and EVs. The main contribution of this paper lies in its ability to determine the optimal generation schedules by optimizing operating cost and risk. These two objectives are solved by using a multiobjective-based nondominated sorting genetic algorithm-II (NSGA-II) algorithm, and it is used to develop a Pareto optimal front. A best-compromised solution is obtained by using fuzzy min-max approach. The proposed approach has been implemented on modified IEEE 30 bus and practical Indian 75 bus test systems. The obtained results show the best-compromised solution between operating cost and system risk level, and the suitability of CVaR for the management of risk associated with the uncertainties due to RERs and EVs.     

碳中和愿景下电力部门低碳转型路径研究

碳中和愿景一方面加速了全社会电气化发展,致使电力需求持续增加,另一方面对尽早实现零碳电力提出要求,电力部门低碳转型进程更加紧迫而复杂。本文首先定性分析碳中和背景下电力部门的总体转型思路和技术不确定性影响,其次采用电力部门与终端部门耦合的C~3IAM/NET模型对电力需求进行预测,同时根据关键低碳技术发展的保守预期和积极预期设计多种情景,以开展电力低碳转型路径优化和成本效益研究。结果显示,发电碳排放量峰值可能出现在40亿～42亿吨,在2049—2060年有望实现零碳电力,电力部门低碳转型速度和效果因技术不确定性而存在明显差异。2021—2060年电力低碳转型累计投入为171万亿～180万亿元,CCS技术累计减排贡献超过250亿吨,可再生能源电力占比需达到68%以上,风电和光电将成为主要电力。     

基于GIS的土地适宜性评价决策支持系统——以南京市江宁区淳化镇为例

传统的基于GIS建立的土地适宜性评价系统缺乏对空间问题决策的支持能力，而GIS与DSS技术集成建立土地适宜性评价决策系统一方面可以实现对空间数据的管理和分析，另一方面可以利用模型进行辅助决策，有利于解决与空间有关的决策问题。以MapInfo Professional 6.0为基础平台，以Visual 〖XC夏敏字1.TIF,JZ〗6.0为开发工具，建立了一个土地适宜性评价决策支持系统，该系统包括数据库系统、模型库系统、知识库系统以及人机接口4个部分，具有数据输入输出、图属互查、数据空间分析和辅助决策等功能。系统成功应用于南京市江宁区淳化镇农地适宜性评价实践中，应用结果表明系统能为决策者提供多种决策方案，同时又集成了GIS的数据管理和空间分析功能，满足土地适宜性评价的要求，有推广使用的价值。     

中国经济实现持续增长面临的城市化滞后的挑战

我国人口城镇化滞后的根本原因在于计划经济体制下形成的二元经济结构和城乡隔离的户籍管理制度没有在工业化进程和市场经济体制建立进程中予以破除。而城镇化的滞后将给我国经济实现持续增长带来诸多挑战，包括有效需求不足、农业生产率低下、产业结构难以升级等。文章特别阐明通过包括户籍制度、就业制度和土地承包制度在内的制度创新，加快人口城镇化的步伐，促进经济持续稳定的增长。     

Holarctic Collared Lemmings: Traces of Their Spread as Related to the History of the Arctic Biota

Among recent lemmings (D. torquatus from the Yamal Peninsula and D. groenlandicus from Somerset, Bathurst, Melville, and Devon islands), there are populations with archaic sets of morphotypes characteristic of the end of the Late Pleistocene. In some parts of the species range, lemming morphotypes follow the pattern characteristic of the Holocene stage of their evolution. Lemmings with the best developed tooth system live in the Bering Sea sector of the Arctic (Wrangel Island, Chukotka and Alaska). The correspondence of the boundaries of the groups distinguished by odontological traits to the phylogeographic data on mitochondrial DNA (mtDNA) and chromosomal groups is discussed.     

城市土地资产经营新思路探讨

自1996年上海市成立第一家土地收购储备机构——土地发展中心后，全国各大城市已纷纷效仿它的成功经验。截止2001年8月不完全统计，全国已有大小不同的土地收购储备机构669家。实践证明，土地收购储备机制在盘活城市存量土地，促进土地集约利用，保障城市土地资产的保值增值等方面成绩卓著。然而，实践过程中，土地收购储备机制的运作也暴露出不少问题。本文通过对这些问题的分析，提出了引进公司制度完善土地收购储备机制，合理运营城市土地资产的新思路。     

战略导弹核武器系统人因工程应用研究

以战略导弹核武器系统的设计、生产、使用与维修为背景，分析了人为失误的定义、原因及分类，并根据模糊图理论，提出了一种评估人员可靠性的双向模糊图模型，并对人因工程学在战略导弹核武器系统的应用，提出了一些看法和建议。     

环境资源的量化模型及估算指标体系

本文依据区划环境标准，提出了环境资源的成本概念－环境成本。