火电机组状态及性能全息诊断系统技术及应用

阐述了火电机组状态及性能全息诊断系统的技术原理、系统结构及应用情况。该系统以解决机组应用性能问题为目标,采用状态空间分析模型,具备多层次分析的运行操作指导,基于性能渐变特性的设备状态检修,包括分散度在内的运行指标考核以及定期的节能潜力诊断等功能,在10余家电厂44台近1500万kW机组上取得了供电煤耗平均降低1.5～3.5g（标煤）/kW.h的节能效果。     

工业园区低碳发展模式评估与规划分析

通过对工业园区低碳发展模式的评估,分析其低碳发展的能源特征、经济特征与人力特征,并确定工业园区二氧化碳减排的潜力能源。基于能源-碳减排(EC)、经济-能源-碳减排(EEC)和人力-经济-能源-碳减排(HEEC)三种不同情景,在未来发展的一定规划期内,对工业园区具有二氧化碳减排潜力的能源进行规划分析,确定其年递减率,从而实现工业园区不同情景下的二氧化碳减排。通过实际案例研究,证明了评估与规划分析模型的可行性。     

浅论石油化工企业二氧化硫总量减排

为满足石油化工企业总量控制的要求,采取相应的治理措施,降低污染物排放总量,避免采取大量投资和占地的末端治理措施,在工艺过程中采取措施降低主要污染物排放总量是行之有效的途径,采用催化工艺中添加硫转移脱氮剂的办法、热电厂锅炉采用改善炉体燃烧状态、配合石灰石脱硫等工艺过程措施,探讨进一步减少二氧化硫排放总量的可行性。     

石油石化企业温室气体清单编制简析

文章通过简要阐述石油石化企业温室气体清单的编制全过程,确定石油石化企业温室气体排放种类、识别主要温室气体排放源、列举重点生产过程中温室气体排放量的核算方法,为石油石化企业实现温室气体减排和控制工作、为完成国务院规定的到2020年我国单位国内生产总值二氧化碳排放强度比2005年下降40%~45%的约束性指标,奠定数据理论基础。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

石化行业的VOCs排放控制管理

概述了我国挥发性有机化合物（VOCs）的排放情况。介绍了国内外VOCs的管理现状。分析了国内石化行业VOCs排放控制管理中存在的主要问题以及污染物排放过程的类别。提出了明确定义、制定相关标准、完善分类管理体系、研究最佳的可行性控制技术等加强VOCs排放控制管理的对策和建议。     

基于ARIMA和BP神经网络组合模型的我国碳排放强度预测

预测我国碳排放强度的长期变动趋势, 对国家进行宏观经济管理和节能减排工作具有重要的参考价值。运用深入分析自回归移动平均模型和神经网络的特性,并在此基础上建立ARIMA模型和BP神经网络组合模型,将碳排放强度的时间序列的数据结构分解为线性和非线性残差部分,对我国碳排放强度的变化趋势进行了综合分析与预测。结果显示:今后10 a我国碳排放强度总体是逐步下降的,但到2020年我国碳排放强度仅比2005年下降34%,比我国政府提出碳排放强度下降40%~45%的目标还有一定的差距。因此,要在2020年实现我国碳排放强度目标,必须要调整宏观经济政策,采取各种政策措施以实现目标     

中国城市温室气体清单研究

介绍城市温室气体排放特征和国际城市温室气体清单研究进展,研究了全球城市化和城市CO2排放的强正相关性,以及中国城市清单方法研究起步较早但发展缓慢的特点。分析了城市温室气体清单相对国家清单的特征,即城市清单编制往往采用消费模式,区别于国家清单的生产模式;国际城市清单中往往包括了由于外调电和供暖产生的CO2排放,同时城市温室气体清单编制灵活性和针对性更强。针对我国城市温室气体清单研究的不足,提出了我国城市温室气体清单方法,强调中国城市采用尺度1+尺度2的范围,暂不考虑尺度3的范围,即生产+消费的混合模式,并且在城市市域温室气体排放研究的基础上,加强狭义城市温室气体排放水平的研究。选择北京市和纽约市,对比分析了两个城市CO2排放特征,结果显示,在确定的清单体系下,北京市和纽约市具有较好的可比性。纽约市的总排放量(尺度1+尺度2)略低于北京市排放量,人均排放量略高于北京市。     

特大型城市客运交通碳排放与减排对策研究

本文基于对现有城市交通碳排放测算方法的比较分析,以上海市为例,采用IPCC"自下而上"法对特大型城市客运交通CO2排放进行了测算,结果显示:轨道交通是碳排放效率最高的客运方式,出租车最低;客运交通CO2排放总量增长迅速,且碳源结构发生了较大变化;近年客运交通CO2排放增量主要来自私人载客汽车,同时公务交通在客运交通碳排放中始终占较大比重。由此本文认为,控制客运交通碳排放的关键在于对以私人载客汽车和单位载客汽车为主的个体交通的管理和控制,形成以公共交通为主的交通结构。在此基础上,为了将控制碳排放纳入到城市交通政策目标中去,本文就主要城市交通政策对客运交通碳排放产生的影响进行了深入分析,并得出结论:以往的交通供给、需求管理政策对于抑制客运交通碳排放增长的作用有限;而就目前城市空间发展政策的实施效果而言,也不利于降低居民出行的碳排放水平。文章最后分别从交通供给、需求管理以及城市空间角度给出了控制客运交通碳排放的对策。     

Target Gap of Emission Reduction for China:Analysis based on Elastic Decoupling

The present paper analyzes historically the relationship between carbon emission and economic development by different stages through adopting elastic decoupling methods and Tapio evaluation criteria along with a comparison with the national Five Year Plans. The analysis shows that the influencing factors to the relationship between carbon emission and economy in China are different, and economic development and carbon emission have less connection in the recent 30 years of reform and opening-up in China. It is a difficult task to realize the promise that we will reduce carbon emission by 40%-50% in 2020 based on the data from historical experience and different expectations for economic development from economists. Through constructing the calcula- tion model of carbon emission intensity gap according to different development scenarios, the analysis shows that economic growth, infrastructure investment and further development of industrial-ization are the main drivers to the increase of carbon emission, technological progress, and particularly, the reduction of energy consumption is the primary means to reduce carbon emission in China. It is imperative to transform the economic growth pattern, and it is a grand task to perform and there is a long way to go for China to maintain economic growth and reduce carbon intensity.