Reside0ntial solar water heating as a potential Clean Development Mechanism project: A South African case study

A community-based Clean Development Mechanism (CDM) project – asolar water heating project in a low-income community in South Africa –is analysed to illustrate the methodological and policy challenges that faceimplementation of the Kyoto Protocol to the United Nations FrameworkConvention on Climate Change. We evaluate four baseline options, andthree potential CDM interventions. The emissions reductions range from –670 to +5 929 Mg CO₂ per year, with all option but oneshowing positive emission reductions. Using metered solar water heatingwith liquefied petroleum gas back-up as the CDM intervention, and electricstorage geysers as the baseline, the annual emissions reductions are 5686 Mg CO₂. The cost-effectiveness from the national perspective,which is the incremental life cycle costs divided by the lifetime emissionsreductions, is –$18 per Mg CO₂ From the perspective of theCDM investor, however, the cost-effectiveness is $5.2 per mgCO₂, assuming that the investor receives all of the carbon credits forproviding the incremental capital investment. From our analysis, weconclude that using the current technology (kerosene stoves) as a baselineis probably not appropriate because it does not reflect likely future trendsand also penalises the community for their poverty and current lack ofinfrastructure. We also highlight the importance of credit sharing, and howit affects the cost-effectiveness of the project from the CDM investor'sperspective. The lessons from this analysis are important for the currentinternational policy debate on how to preferentially treat small-scale CDMprojects.     

太阳能-TiO_2非均相光催化氧化染料污水脱色研究

采用开放式悬浮型光催化反应器，以太阳能中紫外光替代紫外灯，激发染料污水悬浮液中ＴｉＯ２产生ＯＨ自由基将染料催化氧化脱色，探讨了催化剂用量，催化剂活性，曝气，污水流速，反应器受辐射面积，Ｆｅ３＋离子等对染料污水脱色率的影响，实验结果表明：在一般晴天的条件下，经过２小时太阳能辐射后，阳离子蓝Ｘ－ＧＲＲＬ染料脱色率在８０％－９３％之间，说明太阳能是非均相光催化氧化染料污水脱色处理的有效紫外光源，太阳能非均相光催化氧化染料污水脱色处理是经济实用，效率高，很有发展前景的污水脱色处理技术     

ALGAL BLOOM PROBABILITY IN A LARGE SUBTROPICAL LAKE1

ABSTRACT: Algal blooms, defined as chlorophyll α concentrations greater than 40 μg l^?1, are common in Lake Okeechobee, Florida. Using logistic regression techniques, we have developed equations that relate limnological variables to algal bloom occurrence in four distinct open-water regions of this large shallow lake: central pelagic, northwest, southwest, and a transition region between the western and pelagic regions. Wind velocity and total phosphorus, which are closely related to resuspended material in the central region, are negatively related to algal bloom occurrence there. In the transition region, algal bloom occurrence is positively related to total nitrogen and wind velocity. Algal bloom occurrence is strongly and positively related to total nitrogen and total phosphorus concentrations in the western regions. The logistic regression model predicts an algal bloom probability greater than 95 percent in the northwest region when total phosphorus exceeds 0.10 mg l^?1 and total nitrogen exceeds 2.5 mg l^?1. In the southwest region the model predicts algal bloom probability of 100 percent when total phosphorus exceeds 0.10 mg l^?1 and total nitrogen exceeds 2.8 mg l^?1. Given 1994 mean total phosphorus concentrations of 0.05 and 0.04 mg l^?1 in the northwest and southwest regions, respectively, total nitrogen would have to remain below 1.32 and 1.43 mg l^?1, respectively, to keep the algal bloom probability below 10 percent. Because the lake is heterogenous, such nutrient standards should be considered on an in-lake regional basis for Lake Okeechobee.     

Impact of generated solar radiation on simulated crop growth and yield

The availability of observed daily solar radiation (OSR) is restricted to recent years. Its estimation through different methods is necessary to develop long-term data sets for agricultural and environmental applications. The objective of this study was to analyze the impact of using generated daily solar radiation (GSR) on simulated growth and yield of cotton, maize, and peanut. Nine locations representing Georgia's major crop belt were selected. Daily weather data from the Georgia Automated Environmental Monitoring Network (AEMN), including solar radiation, maximum and minimum temperature, and precipitation, were duplicated. The OSR was removed from one set and then generated using a stochastic procedure. The Cropping System Models (CSM)-CROPGRO-Cotton, CERES-Maize, and CROPGRO-Peanut of the Decision Support System for Agrotechnology Transfer (DSSAT) v4 were used to simulate crop growth and yield at each location with both OSR and GSR and for rainfed and irrigated conditions. The statistical analysis included summary statistics, Pearson's coefficient of correlation, mean squared deviation (MSD) and its components, namely: squared bias (SB), squared difference between standard deviations (SDSD), lack of correlation weighted by the standard deviations (LCS), and regressions. Within locations, for the three crops under rainfed and irrigated conditions, GSR did not significantly affect simulated total evapotranspiration and aboveground biomass and yields. For the three crops, deviations of simulated water use and yields from GSR with respect to simulated water use and yields from OSR were lower for the rainfed than for the irrigated conditions. Yields from the CSM-CROPGRO-Cotton and -Peanut models had lower deviations than yields from the CSM-CERES-Maize model. LCS was the major component of the MSD suggesting that the extent of the difference between standard deviations of GSR and OSRG could affect the outputs of the crop models. Nevertheless, for most locations none of the MSD components of the GSR showed significant correlation with simulated yields and the overall performance of the models was not affected. It can be concluded based on the results of this study that GSR can be used as an input for crop model simulation models when OSR is not available.     

烟台市生态经济系统的能值分析

利用能值分析方法分析了2013年烟台市生态经济系统的能值流动状况,并提出了相应的能值利用调控对策。2013年烟台市生态经济系统的能值总用量为2.630×1023 sej,人均能值用量为4.044×10^16 sej,能值自给率为22.6%,能值密度为19.14×10^12sej/m^2,能值货币比率为2.848×10^12sej/,电力能值占能值总用量的比例为5.6%,由可更新资源及其产品支持的人口承载力为16.19×10^4人,由可更新资源及其产品、进口产品及技术共同支持的人口承载量为518.6×10^4人,能值可持续指标值为4.986。将上述计算结果与其它国家和地区进行比较表明：虽然目前烟台市经济较发达,能值利用效率和人民生活水平较高,生态经济系统的能值使用总体上符合区域可持续发展的要求,但系统能值自给率较低,生态环境比较脆弱,经济增长对外部输入的能源和资源依赖性较强。据此,提出了调整产业结构、转变经济增长方式、加强电力资源开发、发展科学教育事业等能值利用的调控对策。     

日光温室环境空气的变化规律及质量评价

为明确日光温室环境空气质量的变化规律,采用实地固点监测的方法,选取1、5和10 a棚龄的日光温室,分别对其室内温度、相对湿度、可吸入颗粒物(PM10)、总悬浮物(TSP)及Cl2、NH3、NO、O3进行监测,并对室内空气质量进行评价。结果表明,温室内温湿度、气体浓度变化与外界气象条件变化关系密切,温室内PM10和TSP浓度随棚龄的增大而逐渐升高。不同棚龄温室内Cl2、NH3、NO和O3浓度日、月变化规律一致,Cl2、NH3和O3浓度峰值出现在午后,NO浓度峰值出现在揭苫和盖苫前后,且O3与NO浓度呈负相关(r=-0.964),1、5和10 a棚龄的日光温室内Cl2日平均浓度和NH3日最高浓度均超过国家标准,而NO和O3浓度未超标。温室内PM10和TSP浓度以10 a棚龄温室为最高,1 a棚龄温室为最低。1—2月温室内PM10和TSP浓度最高,且10 a棚龄温室内PM10超过国家标准。     

国外光伏发电并入智能电网发展探讨

智能电网是未来电网发展的主要趋势。随着人们对环境保护的重视,如何将风能、太阳能等可再生能源大规模接入电网已经成为智能电网下一阶段的研究方向。介绍了国外光伏发电技术发展,概述了国外对光伏发电并入智能电网的最新研究,提出了光伏并网发电面临的问题以及相关建议,为我国未来光伏并网发电的实施提供参考。     

造纸污泥太阳能干化处理工艺设计

太阳能作为一种清洁能源,将其应用在造纸污泥干化中,与传统干化工艺相比具有能耗低、无污染、运行费用低廉、操作简单、运行安全稳定、干化后的污泥仍保留原有的价值等特点。以某造纸污泥的干化为例,介绍了该工艺的工作原理及流程、工艺单元设计等。     

Comparison of sensitivity analysis techniques: A case study with the rice model WARM

The considerable complexity often included in biophysical models leads to the need of specifying a large number of parameters and inputs, which are available with various levels of uncertainty. Also, models may behave counter-intuitively, particularly when there are nonlinearities in multiple input-output relationships. Quantitative knowledge of the sensitivity of models to changes in their parameters is hence a prerequisite for operational use of models. This can be achieved using sensitivity analysis (SA) via methods which differ for specific characteristics, including computational resources required to perform the analysis. Running SA on biophysical models across several contexts requires flexible and computationally efficient SA approaches, which must be able to account also for possible interactions among parameters. A number of SA experiments were performed on a crop model for the simulation of rice growth (Water Accounting Rice Model, WARM) in Northern Italy. SAs were carried out using the Morris method, three regression-based methods (Latin hypercube sampling, random and Quasi-Random, LpTau), and two methods based on variance decomposition: Extended Fourier Amplitude Sensitivity Test (E-FAST) and Sobol’, with the latter adopted as benchmark. Aboveground biomass at physiological maturity was selected as reference output to facilitate the comparison of alternative SA methods. Rankings of crop parameters (from the most to the least relevant) were generated according to sensitivity experiments using different SA methods and alternate parameterizations for each method, and calculating the top-down coefficient of concordance (TDCC) as measure of agreement between rankings. With few exceptions, significant TDCC values were obtained both for different parameterizations within each method and for the comparison of each method to the Sobol’ one. The substantial stability observed in the rankings seem to indicate that, for a crop model of average complexity such as WARM, resource intensive SA methods could not be needed to identify most relevant parameters. In fact, the simplest among the SA methods used (i.e., Morris method) produced results comparable to those obtained by methods more computationally expensive.     

美国太阳反射镜步进应力加速老化试验

为了应对降低聚光发电(CSP)成本带来的挑战,研发新型的低成本反射镜材料,包括金属聚合物反射镜。通过将太阳反射镜暴露在紫外光下,利用试验应用方法和统计推论技术,定量评估和改进太阳光反射镜在紫外光下与失效机制相关的使用寿命。将利用超加速环境系统评估由紫外暴露加速老化导致的多种性能退化模式。由于样品数量、试验条件、性能退化和失效模式等原因,试验结果可用于深入推导失效机制、关联物理参数、服役寿命和不确定性。在有必要利用高级方案和统计推论的复杂情况下,建议采用步进应力加速老化试验方法。