基于能源-环境情景模拟的北京市大气污染对居民健康风险评价研究

保护居民健康是北京市能源系统优化管理和大气污染治理的重要目标.本研究基于北京市的社会经济发展目标并结合相关节能减排和环保要求,针对全市2010-2020年间的能源消费分别设计了高、中、低3种约束情景,通过LEAP模型预测了全市至2020年的能源消费量与S02、NOx、PM10和PM2.5等4种主要大气污染物的排放强度,并采用泊松回归模型对3种情景下主城区居民受环境空气中这4种大气污染物的暴露危害所导致的健康风险进行了评估.结果显示:相对低约束情景,高约束情景至2020年可避免与S02、NOx、PM10和PM2.5污染相关的死亡危害分别为2663、6359、4720和4104人·a-1,而且在高约束情景下煤炭消费比重每下降1％,可相应地避免约1400人·a-1的污染急性死亡.由此建议北京市实施更加严格的节能和减排措施,严控煤炭消费总量,进一步优化能源结构,最大程度地降低能源消费导致的大气污染所产生的居民健康风险.     

高效水解酸化UASB活性污泥的菌群结构分析

采用454高通量测序技术对低能耗、低污泥产量且具有脱氮效能的印染废水处理工艺中UASB污泥的微生物菌群结构进行了分析.结果表明,UASB内污泥的微生物菌种呈多样性分布且优势菌群突出,通过菌群鉴定发现,脱硫橄榄样菌属(Desulfobacula)、Levilinea、长绳菌属(Longilinea)、Candidatus Tammella、Paludibacter、索氏菌属(Thauera)、Tepidimicrobium、杆状脱硫菌属(Desulforhabdus)、类芽孢杆菌属(Paenibacillus)、梭菌属(Clostridium)是主要的优势菌属.其中,梭菌属是起到产酸和污泥减量作用的主要菌种.另外,具有脱氮效能的原因可能是由于发生了硫酸盐型厌氧氨氧化作用.通过Shannon、Chao、Simpson、Shannon指数的计算,发现该UASB中微生物较其他废水处理系统,群落结构拥有较高的多样性和丰度,有利于稳定产酸.     

Cleaner production option in a food (Kimchi) industry

In the Kimchi (a salt-pickled and fermented food) manufacturing industry, the process of brining and rinsing the raw vegetable produces a vast amount of wastewater of high salinity. Instead of the expensive and low-efficient conventional treatment system, a brining wastewater reuse system was developed using hybrid chemical precipitation/microfiltration. In the microfiltration of chemically treated brining wastewater, a comparison of flux, backwashing frequency and energy consumption was made between dead-end and crossflow filtration modes. The optimum location of the neutralization step in this system was also discussed in connection with the microfiltration performance. The quality test of Kimchi prepared by the reuse system confirmed the new approach to the cleaner production option was successful in terms of water/raw material (salt) savings and wastewater reduction.     

Ecological parameters and disinfection effect of low-temperature laundering in hospitals in Slovenia

The aim of this research was to determine the influence of laundering procedures on the ecological parameters of wastewater and the electric energy consumption. Laundering procedures were simulated in a laboratory washing machine and the parameters temperature, duration and concentration of disinfection agents were varied until the optimal conditions were found for low-temperature laundering while achieving an appropriate disinfection effect with peroxyacetic acid and minimal damages to the textiles. The disinfection effect was determined using standard bioindicators Enterococcus faecium, Staphylococcus aureus, Enterobacter aerogenes and Candida albicans. The optimal low-temperature laundering procedure at 40 °C was then evaluated according to the Slovenian regulations for wastewater reuse and the toxicity of the wastewater on activated sludge as well as the wastewater biodegradability were determined. It was found that an optimal low-temperature laundering procedure at 40 °C decreased the energy consumption while reaching an adequate disinfection effect with somewhat higher dosages of chemicals and with lower damages to the textiles due to lower washing temperatures. The wastewater was found to have a certain level of pollution and was biodegradable and can therefore be treated using biological treatment.     

城镇生活污水厂实行清洁生产途径分析

结合企业清洁生产理论,根据污水处理厂实际情况,从“节能、降耗、减排、增效”出发,详细阐述了污水厂实行清洁生产的途径。指出节约电能、新鲜水、药剂,减少污染物排放是污水处理厂清洁生产的主要出发点。并进行实例分析。     

大型再生水厂不同污水处理工艺的能耗比较与节能途径

能耗是再生水厂运行主要的考核指标.采用比能耗分析法、单元能耗分析法以及冗余分析法等探讨了清河再生水厂不同污水处理工艺(倒置A2/O、A2/O和A2/O-MBR)的能耗构成和时空分布特征.重点考察了A2/O-MBR工艺的主要能耗环节和原因,探讨了A2/O-MBR工艺的节能改造方法,并比较了其改造前后的能耗.结果表明,曝气是清河再生水厂污水处理的常规工艺和A2/O-MBR工艺的主要耗能需求,分别占总能耗的42.97%和50.65%.在保证A2/O-MBR工艺出水水质的同时,采用脉冲曝气改造后节能效果明显.改造后的膜运行通量增大约20%,吨水能耗为0.53 k W·h·t-1,降幅达42.39%,去除单位COD能耗为1.29 k W·h·kg-1,降幅达54.74%.该厂A2/O-MBR工艺回流量大,但与出水水质相关性较弱.在一定范围内降低回流比不会造成出水水质恶化,因此可作为进一步节能的方向之一.     

Quantifying the electron-donating and -accepting capacities of wastewater for evaluating and optimizing biological wastewater treatment processes

Biological processes have been widely used for the treatment of both domestic and industrial wastewaters. In such biological processes, pollutants are converted into pollution-free substances by microorganisms through oxidation-reduction reactions. Thus, how to quantify the internal oxidation-reduction properties wastewaters and seek out targeted countermeasures is essential to understand, operate, and optimize biological wastewater treatment systems. So far, no such approach is available yet. In this work, a novel concept of electron neutralization-based evaluation is proposed to describe the internal oxidation-reduction properties of wastewater. Pollutants in wastewater are defined as electron donor substances (EDSs) or electron acceptor substances (EASs), which could give or accept electrons, respectively. With such an electron neutralization concept, several parameters, i.e., electron residual concentration (R), economy-related index (E and E_r), and economical evaluation index (Y and Y_r), are defined. Then, these parameters are used to evaluate the performance and economic aspects of currently applied wastewater treatment processes and even optimize systems. Three case studies demonstrate that the proposed concept could be effectively used to reduce wastewater treatment costs, assess energy recovery, and evaluate process performance. Therefore, a new, simple, and reliable methodology is established to describe the oxidation-reduction properties of wastewater and assess the biological wastewater treatment processes.     

Aeration optimization through operation at low dissolved oxygen concentrations: Evaluation of oxygen mass transfer dynamics in different activated sludge systems

In wastewater treatment plants(WWTPs)using the activated sludge process,two methods are widely used to improve aeration efficiency — use of high-efficiency aeration devices and optimizing the aeration control strategy. Aeration efficiency is closely linked to sludge characteristics(such as concentrations of mixed liquor suspended solids(MLSS)and microbial communities)and operating conditions(such as air flow rate and operational dissolved oxygen(DO)concentrations). Moreover,operational DO is closely linked to effluent quality. This study,which is in reference to WWTP discharge class A Chinese standard effluent criteria,determined the growth kinetics parameters of nitrifiers at different DO levels in small-scale tests. Results showed that the activated sludge system could meet effluent criteria when DO was as low as 0.3 mg/L,and that nitrifier communities cultivated under low DO conditions had higher oxygen affinity than those cultivated under high DO conditions,as indicated by the oxygen half-saturation constant and nitrification ability. Based on nitrifier growth kinetics and on the oxygen mass transfer dynamic model(determined using different air flow rate(Q′_(air))and mixed liquor volatile suspended solids(MLVSS)values),theoretical analysis indicated limited potential for energy saving by improving aeration diffuser performance when the activated sludge system had low oxygen consumption; however,operating at low DO and low MLVSS could significantly reduce energy consumption. Finally,a control strategy coupling sludge retention time and MLVSS to minimize the DO level was discussed,which is critical to appropriate setting of the oxygen point and to the operation of low DO treatment technology.     

污水处理厂不同工艺的污泥脱水效能分析及其影响因素研究

污泥脱水是污泥减量的主要手段,直接影响到后续污泥处理处置.本研究以北京某大型污水处理厂A2/O工艺和A2/O-MBR工艺污泥脱水为对象,基于2013年全年的运行数据,分析不同工艺的污泥脱水效果、絮凝剂投配率、污泥脱水电耗和污泥脱水成本,并通过冗余分析(RDA)研究了不同污水处理工艺污泥脱水性能的影响因素.结果表明,污泥脱水性能和絮凝剂投配率均呈现季节性变化特征,冬季污泥较难脱水,絮凝剂消耗大.A2/O-MBR工艺的脱水污泥含水率年均值为(81.92±1.64)%,A2/O工艺为(82.56±1.35)%,污泥脱水絮凝剂消耗(以DS计,下同)分别为(8.70±7.25)kg·t-1和(7.42±2.96)kg·t-1,电耗(以DS计,下同)分别为331.82 k W·h·t-1和121.57 k W·h·t-1.A2/O-MBR工艺的污泥脱水絮凝剂成本(以DS计,下同)为204.76元·t-1,用电成本为231.61元·t-1;A2/O工艺的污泥脱水絮凝剂成本为175.00元·t-1,用电成本为84.86元·t-1.RDA分析表明,水温等季节性因素引起污泥有机质变化是影响污泥脱水性能的关键因素之一,此外,污泥龄也与污泥脱水性能有一定相关性.     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (− 0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (-0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.     

我国城镇污水处理厂环境绩效评价研究

城镇污水处理厂的运行效果直接影响工业和生活污染源的污染物排放削减控制水平,根据《城镇污水处理厂运营质量评价标准》,从污水处理厂运行、污染物削减、能源消耗和资源利用情况4个方面探讨了全国城镇污水处理厂环境绩效评价方法,并结合第二次全国污染源普查结果,对全国城镇污水处理厂环境绩效进行了评价.结果表明:2017年全国8 550家城镇污水处理厂环境绩效平均得分为60.6分,有45.4%的城镇污水处理厂等级评价为较差,有50.9%在一般和较好等级范围内,仅有3.6%的城镇污水处理厂为良好和优秀等级.采用活性污泥法处理工艺、设计处理规模大以及位于华北、东北地区的城镇污水处理厂的环境绩效总体表现较好.59.3%、60.8%的城镇污水处理厂分别在污水处理厂运行和污染物削减情况的得分高于全国平均值,52.4%、81.6%的城镇污水处理厂在污水处理能耗和资源再生利用情况的得分均低于全国平均值.研究显示,相较于污水处理厂运行情况、污染物削减情况,全国城镇污水处理厂的环境绩效水平受能源消耗和资源利用情况的影响较大,建议从提高化学需氧量的进水浓度、实施工艺升级改造、加强再生水利用等方面入手,以提升城镇污水处理厂的环境绩效.      

北京市2009-2011年垃圾渗滤液处理电能消耗特征与节能减排潜力研究

对北京市2009-2011年垃圾渗滤液处理中电能消耗进行研究,通过对现行几种渗滤液处理技术的对比和现场调查,采用逐层分析法,将电能消耗从处理设施上分为三大层次:单元-工艺-场站.结果表明,2009-2011年北京市各垃圾处理场处理渗滤液的耗电量基本不变.对于同一场站来说,生化处理单元的电能消耗一般高于其他3个单元,反渗透单元的电能消耗高于纳滤单元.填埋场和粪便消纳站中垃圾总量与渗滤液产量有很好的线性关系,且单位垃圾产生的渗滤液量为:消纳站＞填埋场;填埋场和粪便消纳站中渗滤液产量与电能消耗也有很好的线性关系,且单位渗滤液耗电量为:填埋场＞消纳站.北京市垃圾渗滤液处理全过程中节水潜力约为165.94万t·a-1(近3年北京市垃圾处理年度中水回用量均值为31.22万1·a-1),粪便消纳站存在最大节水潜力,填埋场次之,分别占总节水潜力的89.58％、6.69％.粪便消纳站单位垃圾的节水量最高,平均值为0.02575 t·t-1.     

基于超效率SBM的中国省际工业化石能源效率评价及影响因素分析

工业占据我国最大的化石能源终端消耗,评价中国工业化石能源效率对于提高我国工业化石能源效率和实现节能减排目标具有重要意义.本文运用包含非期望产出的超效率SBM模型评价中国30个省(直辖市、自治区)和三大区域(东部、中部、西部)2006—2011年间的工业化石能源效率,运用Tobit回归模型分析工业化石能源效率的影响因素,并给出各区域节能减排潜力.研究结果表明:北京、天津、上海等地区每年的工业化石能源效率指数均远远领先于其他省份;东部区域效率值以明显的优势高于中部和西部区域;西部区域的效率值比较平稳;中部区域内部各地区效率值比东部和西部区域集中.Tobit回归分析结果表明,地区GDP、经济结构、外商直接投资、工业新增固定投资和地理位置位于东部对地区工业化石能源效率有积极影响;产业结构和地理位置位于中部对地区工业化石能源效率有消极影响;地区人均GDP对地区工业化石能源效率没有显著性影响.东部地区油品和天然气节能潜力较大,中部地区煤炭节能潜力较大,西部地区煤炭和天然气节能潜力较大;中部和东部地区是工业CO2减排的重点.基于以上研究本文给出了3点建议提升工业能源效率.     

基于能源消费情景模拟的北京市主要大气污染物和温室气体协同减排研究

在改善城市空气质量的同时降低温室气体(GHG)排放,是未来北京市能源管理和环境保护工作的共同目标和主要任务.本研究结合北京市中长期规划发展目标及能源消费结构,分别设置基于节能政策和环保要求的低、中、高这3种能源消费约束情景,并使用LEAP模型模拟预测3种情景下北京市主要大气污染物和GHG在2010～2020年间的减排效果.结果表明,通过加强节能减排和污染控制政策对能源消费系统施加约束和优化,至2020年北京市能源消费可降低1 000～3 000万tce,SO2、NOx、PM10/PM2.5、VOC和GHG排放量将分别降至7.1～10.02、15.92～21.87、8.98～13.38/5.14～9.60、5.64～7.48和14 820～16 470万t,与低约束情景相比,中、高情景下大气污染物和GHG排放将分别减少53%～67%、50%～64%、33%～55%/25%～60%、41%～55%和26～34%.进一步的协同减排分析表明,北京市应重点调控工业、交通、服务业部门的化石能源消费,在有效缓解能源消费压力的同时实现主要大气污染物与GHG的协同减排.     

生物强化方式对生物转盘处理养殖废水效果及生物多样性的影响

畜禽养殖废水污染物浓度高、生物毒性大,导致传统生物处理工艺难以满足达标排放要求.为探究高效的畜禽养殖废水处理工艺,采用生物转盘作为主体工艺,利用异养硝化-好氧反硝化菌（简称"HN-AD菌"）为生物强化菌剂,对比了强化污泥挂膜和菌剂挂膜两种不同生物强化方式下该工艺在启动时间、碳耗、能耗、真实废水处理效果及微生物多样性方面的差异,以确定最佳生物强化方式.结果表明:①模拟废水试验中,菌剂挂膜反应器启动时间（19 d）明显短于强化污泥挂膜（33 d）,参数优化后发现,在相同处理效果下,前者碳耗、能耗较后者分别低48.22%、33.33%.②真实废水处理试验中,菌剂挂膜反应器的COD_Cr、NH₄+-N、TN平均去除率较后者分别高7.11%、26.97%、29.14%.③在微生物多样性方面,菌剂挂膜体系中Comamonas（丛毛单胞菌属）相对丰度是强化污泥挂膜体系的10倍左右,推测Comamonas可能是在异养硝化好氧反硝化过程中发挥关键作用的菌属.④SEM观察发现菌剂挂膜生物转盘盘片上的生物膜更薄,但HN-AD优势菌富集程度更高.研究显示,菌剂挂膜反应器对模拟废水、真实废水的处理效果均优于强化污泥挂膜反应器,且效果更稳定.      

Towards real-time detection of wastewater in surface waters using fluorescence spectroscopy

The presence of municipal wastewater at the intake of a major drinking water treatment facility located on Lake Ontario was examined using fluorescence data collected during a period of continuous monitoring. In addition, controlled mixing of lake water and wastewater sampled from a local treatment facility were conducted using a bench-scale fluorescence system to quantify observed changes in natural organic matter. Multivariate linear regression was applied to components derived from parallel factors analysis. The resulting mean absolute error for predicted wastewater level was 0.22% (V/V, wastewater/lake water), indicating that wastewater detection at below 1.0% (V/V) was possible. Analyses of sucralose, a wastewater indicator, were conducted for treated wastewater as well as surface water collected at two intake locations on Lake Ontario. Results suggested minimal wastewater contribution at the drinking water intake. A wastewater detection model using a moving baseline was developed and applied to continuous fluorescence data collected at one of the drinking water intakes, which agreed well with sucralose results. Furthermore, the simulated addition of 1.0% (V/V) of wastewater/wastewater was detectable in 89% of samples analyzed, demonstrating the utility of fluorescence-based wastewater monitoring.     

低碳交通电动汽车碳减排潜力及其影响因素分析

交通运输是城市能源消耗和碳排放的重点行业,为通过节能减排实现低碳城市发展目标,传统汽油车向新能源汽车的转型是一项重要的举措,其中电动汽车因其节能减排的优势将在这次转型中发挥重要作用.在全面总结现有电动汽车节能减排研究成果的基础上,分析了影响电动汽车的减排因素,并应用燃料生命周期的理论,结合北京市的电动汽车推广计划,以纯电动汽车为例,采用改进的燃料碳排放模型,并设置6种情景分析了电动汽车的碳排放及其减排潜力,包括发电能源结构、车用燃料类型(单位燃料的CO2排放系数)、汽车类型(百公里能耗)、城市交通状况(时速)、煤电发电技术、电池类型(重量、能效)等因素对电动汽车减排潜力的影响.结果表明,改进后的模型能更科学测算燃料消耗碳排放;纯电动汽车具有明显的制约性碳减排潜力,在分析的6种影响因素中其波动幅度为57%～81.2%,其中,发电能源结构和煤电技术供电路线对电动汽车燃料生命周期碳减排空间起决定性作用,其减排空间分别可达78.1%及81.2%.最后从改善能源结构、提高煤电技术、推广节能技术、加快动力蓄电池研发、推广纯电动汽车等方面提出了推广电动汽车降低交通能耗和碳排放的优化措施,以期为低碳交通新能源汽车转型政策的制定提供科学依据和方法支撑.     

基于LCA的新能源轿车节能减排效果分析与评价

新能源汽车在行驶过程中具有节能、环保等优点,在我国目前汽车保有量激增、能耗总量和温室气体排放量不断增大,城市交通对城市空气污染贡献日益增加的情况下,应用和推广新能源汽车被视为替代传统汽车、减缓环境危害的重要工具,但其生产阶段的能耗及污染问题同样不容忽视.因此,本研究运用生命周期评价(LCA)方法,选用美国阿贡国家实验室开发的GREET模型,对混合动力轿车、纯电动轿车、氢燃料电池轿车、E10乙醇汽油轿车4类新能源轿车在车辆制造、燃料及电力生产、行驶、拆解4个阶段的能耗及主要大气污染物排放进行了分析计算,并与传统汽油轿车进行比较.结果表明,同传统汽油轿车相比,4种新能源轿车的全生命周期能耗有不同程度的降低,其中,纯电动轿车在降低能耗方面最具优势.同时,4种新能源轿车全生命周期综合环境影响均低于传统汽油轿车,其中以氢燃料电池轿车的综合环境影响最小.     

基于投入产出生命周期模型的建筑业能耗及敏感性分析

建设活动消耗了大量能源,研究建筑业能耗测算方法并分析其影响因素有助于建筑业的节能减排. 采用投入产出生命周期评价模型测算建筑业能耗,分析建筑业能耗对部门间联系、部门能源强度和建筑业规模等因素变化的敏感性,提出部门对建筑业能耗的技术责任系数和结构责任系数,以判断部门在降低建筑业能耗中的责任. 结果表明,2010年我国建筑业能耗为1.07×109 t(以标准煤计);技术责任系数最大的部门是黑色金属冶炼及延压(0.489 8),其次是非金属矿物制品(0.479 8)和化工(0.211 8)等;除建筑业外,结构责任系数较大的部门包括非金属矿物制品(0.276 4)和黑色金属冶炼及延压(0.246 0)等;建筑业能耗对黑色金属冶炼及延压(0.243 8)和非金属矿物制品(0.203 4)等部门能源强度的变化最敏感. 降低建筑业能耗应注重促进高能耗建材生产节能、强化建设活动科学管理、推广高性能低能耗材料应用、提高基础设施建设水平和深化住房市场化改革等方面.