核电厂设计基准风速计算有关问题探讨

设计基准风速的确定对核电厂建构筑物的风荷载设计和结构设计至关重要。利用气象台站积累的历史极端风速资料,计算核电厂设计基准风速,并讨论了计算过程中应注意的有关问题。     

Estimation of Turbulent Fluxes Using the Flux-Variance Method over an Alpine Meadow Surface in the Eastern Tibetan Plateau

The flux-variance similarity relation and the vertical transfer of scalars exhibit dissimilarity over different types of surfaces,resulting in different parameterization approaches of relative transport efficiency among scalars to estimate turbulent fluxes using the flux-variance method.We investigated these issues using eddycovariance measurements over an open,homogeneous and flat grassland in the eastern Tibetan Plateau in summer under intermediate hydrological conditions during rainy season.In unstable conditions,the temperature,water vapor,and CO2 followed the flux-variance similarity relation,but did not show in precisely the same way due to different roles(active or passive) of these scalars.Similarity constants of temperature,water vapor and CO2 were found to be 1.12,1.19 and 1.17,respectively.Heat transportation was more efficient than water vapor and CO2.Based on the estimated sensible heat flux,five parameterization methods of relative transport efficiency of heat to water vapor and CO2 were examined to estimate latent heat and CO2 fluxes.The strategy of local determination of flux-variance similarity relation is recommended for the estimation of latent heat and CO2 fluxes.This approach is better for representing the averaged relative transport efficiency,and technically easier to apply,compared to other more complex ones.     

How to increase technology transfers to developing countries: a synthesis of the evidence

The existing United Nations Framework Convention on Climate Change (UNFCCC) has failed to deliver the rate of low-carbon technology transfer (TT) required to curb GHG emissions in developing countries. This failure has exposed the limitations of universalism and renewed interest in bilateral approaches to TT. Gaps are identified in the UNFCCC approach to climate change TT: missing links between international institutions and the national enabling environments that encourage private investment; a non-differentiated approach for (developing) country and technology characteristics; and a lack of clear measurements of the volume and effectiveness of TTs. Evidence from econometric literature and business experience on climate change TT is reviewed, so as to address the identified pitfalls of the UNFCCC process. Strengths and weaknesses of different methodological approaches are highlighted. International policy recommendations are offered aimed at improving the level of emission reductions achieved through TT.     

Investment risk and return under renewable decarbonization of a power market

How does financial performance risk affect investments in low-carbon electricity-generating technologies to achieve climate policy targets? A detailed risk simulation of price formation in the Great Britain wholesale power market is used to show that the increasing replacement of fossil facilities with wind, ceteris paribus, may cause a deterioration of the financial risk–return performance metrics for incremental investments. Low-carbon investments appear to be high risk, low return, and as such may require a progressively higher level of support over time than envisaged by the conventional degression trajectories. The increasing riskiness of the wholesale market will to some extent offset the benefits of lower capital costs and operational efficiencies if investors need to satisfy cautious debt coverage ratios alongside positive expected returns. This increased risk is additional to the well-known ‘merit order effect’ of low-carbon investments progressively depressing wholesale prices and hence their expected investment returns.

Policy relevance

Policy support for renewable technologies such as wind is usually based upon levelized costs and is expected to reduce over time as capital costs and operational efficiencies improve. However, levelized costs do not take full account of the risk aversion that investors may have in practice. Expected policy support reductions may be moderated to some extent by the increased financial performance risk that intermittent technologies bring to the power market. The annual risk-return profiles for incremental investments deteriorate for all technologies as wind replaces fossil fuels. This extra risk premium will need to be incorporated into evaluating policy incentives for new investments in a decarbonizing power market.     

Technology transfer by CDM projects

Abstract

Technology development and transfer is an important feature of both the United Nations Framework Convention on Climate Change (UNFCCC) and its Kyoto Protocol. Although the Clean Development Mechanism (CDM) does not have an explicit technology transfer mandate, it may contribute to technology transfer by financing emission reduction projects using technologies currently not available in the host countries. This article analyses the claims about technology transfer made by CDM project participants in their project design documents. Roughly one-third of all CDM projects, accounting for almost two-thirds of the annual emission reductions, involve technology transfer. Technology transfer varies widely across project types and is more common for larger projects and projects with foreign participants. Equipment transfer is more common for larger projects, while smaller projects involve transfers of both equipment and knowledge or of knowledge alone. Technology transfer does not appear to be closely related to country size or per-capita GDP, but a host country can influence the extent of technology transfer involved in its CDM projects.     

河北省南部电网夏季电力负荷特征及与气象因子的关系

利用河北省南部电力公司提供的2007-2009年南电网区域逐日最大用电负荷资料,分析了南电网区域夏季日最大负荷变化规律,与其他月份相比,夏季5-8月的日最大电力负荷的波动性明显大于其他月份.采用标准化和相关分析法,逐月分析了气象因子与日最大电力负荷的相关性,并找出了日最大电力负荷的周变化特点,以及节假日对日最大电力负荷的影响.结合农作物生长特点,分析了南部电网日最大电力负荷变化特征,为以后日最大电力负荷预报提供了一定的参考.     

基于中尺度模式与神经网络的风电功率预测

将中尺度数值天气预报模式与BP神经网络模型相结合用于风电功率预测,以WRF模式回算了2008年6月至2009年6月试验风电场的气象要素,精度检验结果显示风速预报值与对应实测值之间的相关系数达到0.72,风向、气温、湿度、气压的预报也比较准确,满足建立BP神经网络预报模型的需要.逐一建立试验风电场40台风电机组输出功率的BP神经网络预报模型,分析了数据标准化方法、隐含层神经元数对预报精度的影响.进行了26天实效为24 h的逐10 min预报试验,并以独立样本进行预报精度检验,结果显示单台风电机组输出功率相对均方根误差在24.8％～32.6％之间,预报值与实测值之间的相关系数现在0.45～0.68之间;风电场整体相对均方根误差为19.5％,预报值与实测值之间的相关系数为0.74.研究结果表明该方法可以用于实际的风电功率预测.     

气候变化背景下湖北省水稻高温热害变化规律研究

利用历年气象资料,运用数理统计方法,分析了湖北省1951—2010年水稻高温热害的动态变化,探讨了气候变化背景下高温热害的演变趋势与规律。结果表明,鄂东部、江汉平原部分地区水稻高温热害发生趋于频繁,且除西南部地区外的湖北省其他地区水稻高温热害最大概率出现的时间均有明显的提前,甚至每10a提前1d以上。最后,利用ArcGIS对湖北省的水稻高温热害变化趋势和风险程度进行了区划。     

Saturn's cloud structure and temporal evolution from ten years of Hubble Space Telescope images (1994-2003)

We present a study of the vertical structure of clouds and hazes in the upper atmosphere of Saturn's Southern Hemisphere during 1994-2003, about one third of a Saturn year, based on Hubble Space Telescope images. The photometrically calibrated WFPC2 images cover the spectral region between the near-UV (218-255 nm) and the near-IR (953-1042 nm), including the 890 nm methane band. Using a radiative transfer code, we have reproduced the observed center-to-limb variations in absolute reflectivity at selected latitudes which allowed us to characterize the vertical structure of the entire hemisphere during this period. A model atmosphere with two haze layers has been used to study the variation of hazes with latitude and to characterize their temporal changes. Both hazes are located above a thick cloud, putatively composed of ammonia ice. An upper thin haze in the stratosphere (between 1 and 10 mbar) is found to be persistent and formed by small particles (radii ∼0.2 μm). The lower thicker haze close to the tropopause level shows a strong latitudinal dependence in its optical thickness (typically τ∼20-40 at the equator but τ∼5 at the pole, at 814 nm). This tropospheric haze is blue-absorbent and extends from 50 to 100 mbar to about ∼400 mbar. Both hazes show temporal variability, but at different time-scales. First, there is a tendency for the optical thickness of the stratospheric haze to increase at all latitudes as insolation increases. Second, the tropospheric haze shows mid-term changes (over time scales from months to 1-2 years) in its optical thickness (typically by a factor of 2). Such changes always occur within a rather narrow latitude band (width ∼5-10°), affecting almost all latitudes but at different times. Third, we detected a long-term (∼10 year) decrease in the blue single-scattering albedo of the tropospheric haze particles, most intense in the equatorial and polar areas. Long-term changes follow seasonal insolation variations smoothly without any apparent delay, suggesting photochemical processes that affect the particles optical properties as well as their size. In contrast, mid-term changes are sudden and show various time-scales, pointing to a dynamical origin.