基于电网防台抗台系统的应急主题数据仓库分析与设计

为解决电网防台抗台过程中缺少应急辅助支持的问题,提出基于现有电网防台抗台系统中的业务数据,采用星型结构分析与设计“台风气象灾情”、“电网因灾（台风）损失”、“电网因灾（台风）应急资源投入”等应急主题数据仓库,充分利用、开发相关的数据探查与ETL工具实现相关的数据集成,构建相关应急主题下的多维数据模型,并开展联机分析处理（OLAP）研究工作,为相关企业和部门开展电网应急管理工作提供应急辅助支持。     

Critical success factors of sustainable manufacturing practices in Malaysian automotive industry

The purpose of this study is to examine the critical success factors of sustainable manufacturing practices (SMPs) in Malaysian automotive industry. The questionnaires were designed and distributed to the 50 respondents. The pilot study sample consists of 26 respondents from 50 questionnaires, with an average response rate of 52%. The results of reliability analysis show that social responsibility is critical factor influencing the direct SMPs implementation success. By implementing SMPs in Malaysian automotive industry, it can assist company to improve the quality of management. Thus, this study recommends that the future research explore the influence of SMPs on sustainable performance in Malaysian automotive industry.     

Treatment of sugar industry wastewater using a combination of thermal and electrocoagulation processes

Sugar industries require a large amount of water for processing, and also generate large amounts of high-degree polluted wastewater. To maintain the water balance in the industry, it is imperative that effective treatment methods need to be devised to treat the wastewaters. The main aim of the present work is to treat the sugar industry wastewater by combined thermal and electro-oxidation methods with a metal and a catalyst based on ferrous material. Results showed a reduction of 75.6% of COD and 79.2% of colour content with thermal treatment, and 97.8% of COD and 99.7% of colour with combined thermal and electrocoagulation treatments under optimum conditions. These reduction levels are adequate for recycling limits.     

基于正态云模型的区域矿产资源可持续力评价

矿产资源是人类生存和社会可持续发展的基础,研究区域矿产资源的可持续力发展水平、能力和发展趋势,不仅仅是个地区问题,更应是资源保障问题,因而对我国资源承载能力和可持续发展具有十分重要的意义。针对当前区域矿产资源可持续力定量测度研究较少,且现有评价方法不能同时兼顾指标的模糊性与随机性的难题,该研究将正态云模型引入区域矿产资源可持续力综合评价。从资源、经济、环境(含人口)三方面构建矿产资源可持续力评价指标体系,基于正态云模型结合改进的层次分析法,不仅使得指标特点得以保真,而且各指标权重的计算量也大大减少,提高了评价方法的适用性。以湖南省2010—2015年间的矿产资源为研究对象,进行矿产资源可持续力定量测度。结果显示,6年间,湖南省矿产资源可持续力状态虽然始终处于III级(一般)状态,但可持续力综合值从2.600 0上升到3.070 8,区域矿产资源可持续力水平有日趋增加态势;个别评价指标仍处于较弱状态,单位GDP能耗量、万元工业产值中矿业产值比率、人口密度单因子得分值均2.5,表明这些指标相对较弱,有待进一步采取相关措施进行改善。该评价结果与实地调研基本吻合,表明该方法是可行的。本方法在定量评价中能兼顾随机性和模糊性,且计算过程简便,结果可靠,能为矿产资源定量评价提供参考。     

A methodology for electricity monitoring and targeting (M&T) in an Irish precision engineering SME

Abstract

Energy management in small to medium enterprises (SMEs) remains undeveloped due to competing priorities and a lack of specialist knowledge. However considerable savings can be demonstrated where companies take the time to investigate their energy use. Savings of over 20% can be achieved through changes to operational and behavioural practice. Additional benefits, such as improved production tracking and improved maintenance, can been seen which add to the value in undertaking an energy monitoring and targeting (M&T) plan. The method described involves the application of a series of ‘virtuous’ cycles of engagement and energy savings that can be applied from the highest factory level right down to a specific machine. The analysis of overall energy use from utility bills and the visualisation of typical machine power profiles aid in understanding the drivers of energy consumption and in engaging management in energy efficiency. The monitoring of specific machines in production highlights the significant consumption of electricity during non-productive times. The development of energy performance indicators is described for product variations which can be useful in tendering for business and selecting optimum production pathways. The approach is illustrated with data from a case study of a precision engineering SME based in Limerick, Ireland.     

Natural resource industry involvement in collaboration for water governance: influence on processes and outcomes in Canada

Natural resource industries are increasingly significant actors in environmental decision-making. Possessing vast institutional and technical capacity, firms have an important role to play in ‘new’ governance strategies such as collaboration. These strategies are often based upon assumptions of equitable influence. This paper investigates the nature of resource industry participation in collaborative water governance in Canada, and the potential consequences of that participation as investigated using power theory. The study used comparative cases to reveal that resource industries are able to shape collaboration, and the issues collaborated upon, at multiple analytical levels both internal and external to the collaborative process in ways not available to other actors. Analysis also revealed that resource industry participation in collaboration did not reflect a commitment to engage in shared learning and the reexamination of values and interests as presupposed by collaborative theory. Collaboration is thus challenged in producing equitable, representative outcomes when resource industries participate.     

CFD analysis on the performance of a solar chimney power plant system: Case study in Algeria

The solar chimney power plant (SCPP) is a power generator which uses solar radiation to increase the internal energy of the air circulating in the system, thereby transforming the useful gain of the solar collector into kinetic energy. The produced kinetic energy then can be converted into electrical energy by means of an appropriate turbine. In this paper, four locations in Algeria

(Constantine, Ouargla, Adrar, and Tamanrasset) were considered as case studies to describe the SCPP mechanism in detail. Numerical simulation of an SCPP which has the same geometrical dimensions was performed to estimate the power output of SCPP in these regions. Using the CFD software FLUENT we simulated a two-dimensional axisymmetric model of a SCPP with the standard k-ε turbulence model. The simulation results show that the highest power output produced monthly average value 68–73 KW over the year and the highest hourly power produced in June is around 109–113 KW.     

Evaluation of energy savings by using high efficiency motors in a thermal power station

This paper presents potential energy savings by installing high-efficiency motors instead of existing ones and their impact on greenhouse gases emissions reductions. This research study of the energy efficiency of electric motors has been performed in a typical thermal power plant. In the literature, the focus has been mainly on separate and away electric motors from operating facilities. The important advantage of this paper over other studies is that it uses the actual motors’ efficiency in the evaluation. The gains both in terms of electrical energy savings and in terms of financial economy by using high-efficiency motors have been discussed. As a result, the energy saving can be expected as 12.6% at the operating rate. This excellent result also reduces greenhouse gas emission by 1,423 tons every year. The analysis of the data provided an overview on energy losses often generated by the degradation and rewinding of electrical motors. This study represents very encouraging results that will help energy managers of industrial plants to become more involved in energy efficiency strategies.     

Global solar radiation and energy yield estimation from photovoltaic power plants for small loads

Daily global solar radiation on a horizontal surface and duration of sunshine hours have been determined experimentally for five meteorological stations in Saudi Arabia, namely, Abha, Al-Ahsa, Al-Jouf, Al-Qaisumah, and Wadi Al-Dawaser sites. Five-years of data covering 1998–2002 period have been used. Suitable Angstrom models have been developed for the global solar radiation estimation as a function of the sunshine duration for each respective sites. Daily averages of monthly solar PV power outputs have been determined using the Angstrom models developed. The effect of the PV cell temperature on the PV efficiency has been considered in calculating the PV power output. The annual average PV output energy has been discussed in all five sites for small loads. The minimum and maximum monthly average values of the daily global solar radiation are found to be 12.09 MJ/m²/d and 30.42 MJ/m²/d for Al-Qaisumah and Al-Jouf in the months of December June, respectively. Minimum monthly average sunshine hours of 5.89 hr were observed in Al-Qaisumah in December while a maximum of 12.92 hr in Al-Jouf in the month of June. Shortest range of sunshine hours of 7.33–10.12 hr was recorded at Abha station. Minimum monthly average Solar PV power of 1.59 MJ/m²/day was obtained at Al-Qaisumah in the month of December and a maximum of 3.39 MJ/m²/day at Al-Jouf in June. The annual PV energy output was found to be 276.04 kWh/m², 257.36 kWh/m², 256.75 kWh/m², 245.44 kWh/m², and 270.95 kWh/m² at Abha, Al-Ahsa, Al-Jouf, Al-Qaisumah, and Wadi Al-Dawaser stations, respectively. It is found that the Abha site yields the highest solar PV energy among the five sites considered.     

石化企业储罐大呼吸损耗影响因素的分析

储罐是石化行业挥发性有机物(VOCs)无组织排放源的重要组成部分。采用美国环保署推荐的储罐VOCs排放量计算公式,以云南某炼化企业的典型热渣油立式固定顶罐以及北京某石化企业的汽油外浮顶罐和甲苯内浮顶罐为基准案例进行储罐大呼吸损耗量的计算,考察了其影响因素,总结出影响储罐大呼吸损耗的关键参数,并有针对性地提出降耗措施。结果表明:影响固定顶罐大呼吸损耗的关键参数为气相分子摩尔质量、日平均液体表面温度和年周转量;影响外浮顶罐大呼吸损耗的首要关键参数为罐壁黏附系数,其次为年周转量和有机液体的密度;影响内浮顶罐大呼吸损耗的首要关键参数为罐壁黏附系数,其次为年周转量和固定顶支撑柱数量。