城镇居民生活能耗与碳排放动态特征分析

居民家庭生活能源消费与碳排放越来越不容忽视,开展这方面研究对于促进居民可持续消费、寻找新的节能减排途径都具有十分重要的意义.本文在考察量化1999-2007年中国城镇居民生活直接、间接能源消费及其碳排放连续变化的基础上,探究了这段时期生活能耗与碳排放的动态变化特征,并分析其潜在的影响因素.研究主要结论包括:1999-2007年,中国城镇居民人均生活总能耗和碳排总量都呈现出逐年增加趋势,其中间接能耗与碳排始终大于直接能耗与碳排,但二者的差异正在逐年缩小;对于人均直接能耗与碳排来说,二者总量都呈逐年增加趋势,其中电力和煤炭是最主要的直接能源消费品种,也是最主要的碳排来源;对于人均间接能耗与碳排来说,虽然居民生活消费开支逐年递增,但由于各类消费项的单位产值能源强度在逐年下降,因此总的间接能耗与碳排并没呈现出一定的递增或递减趋势,而是出现波动性变化.其中"食品"、"教育文化娱乐服务"和"居住"3项是居民生活间接能耗与碳排的主要来源;人均住宅建筑面积是居民生活碳排变化的主要影晌因子.研究结论为引导可持续的家庭消费模式和节能减排措施的制定提供管理启示与科学依据.     

中国现代城镇化发育的能源消费

城镇是现代社会财富积累的中心。矿物燃料为主的一次能源不仅是现代人类社会发展的基本动力来源,也是现代城镇化发育的基本动力来源。随着城镇化发育不断走向成熟,城镇的生存和发展对能源消费的依赖日趋强烈。这种消费需求不仅体现在总量增长方面,而且更体现在质量提高方面。世界和中国的实践均证明了这一点。所不同者,在产业发展政策和能源消费政策的作用下,中国现代城镇化发育的能源消费表现出明显的不尽人意:第一,能源消费总量增长迅速,甚至进入21世纪以来也是如此;第二,能源消费结构演进缓慢、特别是进入国家城镇化快速发育阶段后的表现更是如此;第三,能源产出效率提高有限,甚至出现一定程度的倒退。如此能源消费特征,对中国城镇化的持续发育构成了巨大挑战,因此,建议加快城镇产业结构调整、推进能源消费结构演进和提高城镇能源消费质量。     

Decomposition Analysis of Sectoral Energy Use in Beijing （1981-2005） Using the LMDI Method

This paper aims to identify the main driving force for changes of total primary energy consumption in Beijing during the period of 1981-2005. Sectoral energy use was investigated when regional economic structure changed significantly. The changes of total primary energy consumption in Beijing are decomposed into production effects, structural effects and intensity effects using the additive version of the logarithmic mean Divisia index （LMDI） method. Aggregate decomposition analysis showed that the major contributor of total effect was made by the production effect followed by the intensity effect, and the structural effect was relatively insignificant. The total and production effects were all positive. In contrast, the structural effect and intensity effect were all negative. Sectoral decomposition investigation indicated that the most effective way to slow down the growth rate of total primary energy consumption （TPEC） was to reduce the production of the energy-intensive industrial sectors and improving industrial energy intensity. The results show that in this period, Beijing＇s economy has undergone a transformation from an industrial to a service economy. However, the structures of sectoral energy use have not been changed yet, and energy demand should be increasing until the energy-intensive industrial production to be reduced and energy intensity of the region reaches a peak. As sequence energy consumption data of sub-sectors are not available, only the fundamental three sectors are considered： agriculture, industry and service. However, further decomposition into secondary and tertiary sectors is definitely needed for detailed investigations.     

Specific features of seedage in Norway spruce (Picea abies karst.) in the northern Moscow region

Climatic characteristics of the northern Moscow region and the periodicity of seedage in Norway spruce were analyzed retrospectively. The relationship between the intensity of seedage and weather conditions in the period before seedage was revealed.     

China's Present Situation of Coal Consumption and Future Coal Demand Forecast

This article analyzes China's coal consumption changes since 1991 and proportion change of coal consumption to total energy consumption. It is argued that power, iron and steel, construction material, and chemical industries are the four major coal consumption industries, which account for 85% of total coal consumption in 2005. Considering energy consumption composition characteristics of these four industries, major coal demand determinants, potentials of future energy efficiency improvement, and structural changes, etc., this article makes a forecast of 2010s and 2020s domestic coal demand in these four industries. In addition, considering such relevant factors as our country's future economic growth rate and energy saving target, it forecasts future energy demands, using per unit GDP energy consumption method and energy elasticity coefficient method as well. Then it uses other institution's results about future primary energy demand, excluding primary coal demand, for reference, and forecasts coal demands in 2010 and 2020 indirectly. After results comparison between these two methods, it is believed that coal demands in 2010 might be 2620-2850 million tons and in 2020 might be 3090-3490 million tons, in which, coal used in power generation is still the driven force of coal demand growth.     

基于数据分析的打印设备能效评估

为了更有效地执行我国能效等级评价标准和降低办公能耗,着重讨论了打印设备的能源效率评价。通过收集的数据来分析打印机能效限定值及相应的能效等级标准的测试方法测试过程中的关键点。通过引入计算模型和介绍测量典型能耗分析法(TEC),操作模式功率法(OM)的步骤和检测方法。对检测需要注意的项目以及有效降低电力能源消耗提出对应的方案和建议。     

智能电能表功耗测量系统软件设计

智能电能表功耗测量是一项重要的试验项目,介绍了电能表功耗测量仪和连接,着重分析了功耗测量系统软件的设计。该软件用于功耗测量数据采集,分析了其中的关键技术,给出了Lab VIEW设计框图。该软件实现了智能电能表功耗数据的自动化测量。     

Simultaneous photocatalytic treatment of Cr(VI), Ni(II) and SDBS in aqueous solutions: Evaluation of removal efficiency and energy consumption

Simultaneous photocatalytic reduction of poisonous Cr(VI) and Ni(II) ions, coupled with photocatalytic oxidation of sodium dodecyl benzene sulfonate (SDBS) were studied with a trace amount of commercial titania nanoparticles and by means of a direct-photo-irradiation reactor. The co-presence of metal ions and SDBS causes metal ions reduction as well as SDBS oxidation to enhance and energy efficiency to improve. XRD, XPS and FTIR analysis were used to characterize TiO₂ particles before and after usage with the aim of evaluating the mechanism of reactions. The effect of major operating parameters, pH and temperature, was investigated. Under conditions of [Cr(VI)]₀ = [Ni(II)]₀ = 5 mg/L, [SDBS]₀ = 10 mg/L, [TiO₂] = 40 mg/L, pH 6 and T = 35 °C; the removal efficiencies of 55.4%, 71.2% and 57.2% were obtained, respectively, for Cr(VI) and Ni(II) reduction, as well as for SDBS oxidation, after 110 min operation. The relevant kinetic model jointed with the Arrhenius equation was introduced. Pseudo-first-order reactions are relevant. Energy consumption (electrical and thermal) evaluations revealed that operations at higher temperatures provide significant cost reduction. Meantime, a criterion was proposed for a consistent assessment of this kind of processes.     

Development and Operational Testing of a Super‐Ensemble Artificial Intelligence Flood‐Forecast Model for a Pacific Northwest River

Coastal catchments in British Columbia, Canada, experience a complex mixture of rainfall‐ and snowmelt‐driven contributions to flood events. Few operational flood‐forecast models are available in the region. Here, we integrated a number of proven technologies in a novel way to produce a super‐ensemble forecast system for the Englishman River, a flood‐prone stream on Vancouver Island. This three‐day‐ahead modeling system utilizes up to 42 numerical weather prediction model outputs from the North American Ensemble Forecast System, combined with six artificial neural network‐based streamflow models representing various slightly different system conceptualizations, all of which were trained exclusively on historical high‐flow data. As such, the system combines relatively low model development times and costs with the generation of fully probabilistic forecasts reflecting uncertainty in the simulation of both atmospheric and terrestrial hydrologic dynamics. Results from operational testing by British Columbia's flood forecasting agency during the 2013‐2014 storm season suggest that the prediction system is operationally useful and robust.     

Towards a governance of sustainable consumption transitions: how institutional factors influence emerging local food systems in Belgium

System innovations and transitions in the realm of sustainable consumption policies will seldom emerge automatically from the present socio-political and socio-technical contexts. This paper explores a set of perspectives related to the governance of transitions and develops their application to the relatively unexplored governance of sustainable consumption transitions. Empirical material stems from an extensive case study which analyses a food consumption niche in the form of collectively organised local food systems (LFS) in Belgium. More specifically, we analyse and discuss the institutional contexts and socio-political configurations within which the investigated system innovation cases are embedded. The results explore the role of governmental interplay in fostering innovative consumption practices for a transition towards a more sustainable, autonomous, citizen-based, LFS.