利用煤矸石制备低环境负荷型水泥的研究

煤矸石是我国排放量最大的工业废渣之一,破坏生态环境,不利于可持续发展。本文分析与研究了煤矸石的综合利用现状,着重探讨了煤矸石在我国水泥工业中的应用,并从材料学、热学和环境学等交叉学科入手研究了利用煤矸石生产低环境负荷型水泥的控制理论与技术及其社会经济效益。     

"十三五"国家自然科学基金对能源环境管理领域的资助状况和趋势

能源环境管理是各界关注的热点话题,也是科学研究的重要方向.以国家自然科学基金资助能源环境管理领域的科研项目为基础数据信息,本文重点分析了"十三五"期间国家自然科学基金在该领域资助项目的总体特征、研究主题和热点变化,并结合新时代科学基金资助导向提出了可能的发展趋势.主要结论包括:①能源环境管理领域面上、青年、地区等自由探索类项目的立项绝对数和学科占比均呈上升趋势,并更多向青年学者倾斜,资助强度保持稳定;②碳、能源和环境是自由探索项目中出现频率最高的热词,与之相关的研究主题随着政策等调整具有动态变化特征;③能源环境管理领域重点、重大等引导类项目和优青、杰青、创新研究群体等人才类项目不断实现突破,增速明显,学科占比优势突出;④问题导向与本土情景、理论体系和一般规律、学科交叉融合,以及市场和微观主体作用是研究选题确立与项目申请时可能需要重点关注的方向.     

新能源汽车在我国发展的可行性分析

本文从我国石油能源短缺和汽车尾气污染环境加剧的背景出发，详细分析了目前主要的各种新能源汽车的特点及在我国发展的前景，最后得出乙醇汽车应是我国发展新能源汽车的最佳选择的结论。     

原油储罐呼吸损耗测试中的问题探讨

影响原油储罐呼吸损耗的因素有原油蒸汽压、油罐结构、周转量、周转时间、罐内空间高度（生产上称空高）和温差等,通过对行业标准SY5267-91《油田原油损耗测试方法》的实际运用,分析了影响测试准确度的因素,提出了改进方法。     

基于粒子群-支持向量机(PSO-SVM)的苯储罐泄漏事故风险预测

将支持向量机(SVM)模型运用于事故前苯储罐泄漏事故风险预测,为使模型性能最优, 用粒子群算法PSO优化SVM模型参数,建立了PSO-SVM风险预测模型。为验证模型风险预测性能,分别采用遗传算法(GA)和网格搜索法(GS)优化SVM参数,并比较测试集与PSO-SVM、GA-SVM、GS-SVM三种模型预测结果的均方误差及相关系数。然后进一步探讨模型中权重调整方式、种群规模对PSO-SVM模型预测性能的影响。研究发现,权重线性递减所建PSO-SVM预测值与测试集相关系数更高、均方误差更小、预测效果更好,种群规模没有影响PSOSVM模型预测值但会影响计算时间,这为危化品泄漏事故的风险预测提供了一种新的方法。     

Ethanol fuels: Energy security,economics, and the environment

Problems of fuel ethanol production have been the subject of numerous reports, including this analysis. The conclusions are that ethanol: does not improve U.S. energy security; is uneconomical; is not a renewable energy source; and increases environmental degradation. Ethanol production is wasteful of energy resources and does not increase energy security. Considerably more energy, much of it high- grade fossil fuels, is required to produce ethanol than is available in the energy output. About 72% more energy is used to produce a gallon of ethanol than the energy in a gallon of ethanol. Ethanol production from corn is not renewable energy. Its production uses more non- renewable fossil energy resources in growing the corn and in the fermentation/distillation process than is produced as ethanol energy. Ethanol produced from corn and other food crops is also an unreliable and therefore a non-secure source of energy, because of the likelihood of uncontrollable climatic fluctuations, particularly droughts which reduce crop yields. The expected priority for corn and other food crops would be for food and feed. Increasing ethanol production would increase degradation of agricultural land and water and pollute the environment. In U.S. corn production, soil erodes some 18- times faster than soil is reformed, and, where irrigated, corn production mines water faster than recharge of aquifers. Increasing the cost of food and diverting human food resources to the costly and inefficient production of ethanol fuel raise major ethical questions. These occur at a time when more food is needed to meet the basic needs of a rapidly growing world population.     

企业节能量计算方法浅析

阐述了企业在实施节能降耗过程中普遍采用的节能量计算方法,对产品单耗节能量和技术措施节能量进行了分析,并对比了采用单耗法和技术措施法计算节能量的适用范围和局限性,指出两种方法对企业的意义,提出了在节能量计算过程中的注意事项和几点认识。     

海上/岸边储运设施溢油环境风险应急分析

文章分析了海上/岸边油品储运设施的溢油特点,并从溢油流入附近水体后产生的环境风险角度出发,探讨国内外针对溢油事故的法律框架、环境应急反应体系、环境应急响应和应急处置措施。分析在环境应急反应方面国内应对溢油事故存在的问题,为今后在溢油事故环境应急反应方面提出合理化建议。     

Cracking the Achilles’ heel of energy performance contracting projects: the credit risk identification method for clients

ABSTRACT

A credit risk identification model is established to examine the credit status of Energy performance contracting (EPC) project clients (i.e., energy-using companies) in China based on rough set theory. The model is verified with data from 120 listed companies at different times. Study shows that lack of credit is one of the main obstacles to the implementation of EPC projects, and information asymmetry is the main reason for this lack of credit among potential clients in China. The credit risk identification method based on rough set theory can make up for the shortcomings of existing EPC projects in terms of credit risk identification, including redundant information and indicators, and unclear decision rules. Credit risk identification indicators of clients are dynamic. The research results can help energy service companies (ESCOs) determine the credit status of clients, facilitate cooperation between ESCOs and clients, and help explain the various dynamics of clients’ credit risk identification indicators over time.     

新疆能源消费领域节能潜力分析

以2005年为基准年,根据统计数据和发展目标分析了“十一五”期间新疆能源消费领域的节能潜力.结果显示,新疆万元GDP、万元工业增加值能耗均远高于全国水平,能源消费领域节能潜力为4 557.33×10^4t标准煤;石油加工、炼焦及核燃料加工业,石油和天然气开采业,电力、热力的生产和供应业,黑色金属冶炼及压延加工业,非金属矿物制品业,建筑节能,化学原料及化学制品制造业是新疆节能潜力较大的领域,且节能潜力依次减小,总节能潜力达3 348.48×10^4t标准煤;上述这些行业和领域内能耗均较高,建筑节能在节约资源的同时减少城市大气污染,是节能的优先领域.